Gain Imbalance Research Articles

Polycystic ovary syndrome: the impact of diet and physical activity on the course of the disease

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in women of reproductive age, affecting between 6% and 26% of women. More than 50% of patients with polycystic ovary syndrome are obese, which contributes to the development of insulin resistance, hyperinsulinemia and other disorders of carbohydrate and lipid metabolism. These disorders in turn lead to weight gain and hormonal imbalance, creating a 'vicious circle' between the causes and effects of the disease. Therefore, preventing and treating obesity itself is extremely important in PCOS. A balanced diet and regular exercise will help to reduce fat. Adopting healthy eating habits and increasing physical activity has a positive effect on hormone management, improving fertility and reducing hirsutism or acne. It also helps to improve wellbeing and reduce symptoms of mental health problems. The most effective methods of treating and alleviating the symptoms of polycystic ovary syndrome are the implementation of a balanced diet and increased physical activity.

Perception of couples’ on multipurpose prevention technology attribute choice: the case of MTN 045

BackgroundMultipurpose prevention technologies (MPTs) are products capable of simultaneously addressing multiple sexual and reproductive health needs such as unwanted pregnancy, STIs including HIV-1, and other reproductive tract infections. MPTs are urgently needed to address the double burden of unplanned pregnancy and HIV. While condoms are currently the only accessible MPTs, they are not solely under a woman’s control, and female condoms face limitations due to poor acceptability and high cost.MethodsWe conducted a sub-analysis of qualitative data from 39 couples participating in the MTN 045 study to examine the perception of couples on choice and acceptability of a “2 in 1” MPT that combines HIV and pregnancy prevention.ResultsCouples recognized the benefits of MPTs for HIV and pregnancy prevention but perceptions tied to each indication and a novel prevention technology tool raised important concerns relevant to use of future MPTs. In the study, participants’ perceptions of MPT use were influenced by pregnancy planning. When the timing was less critical, they prioritized HIV prevention. Misinformation about family planning methods, including MPTs, affected decision-making with potential to hinder uptake of future MPTs. Concerns about side effects, such as weight gain and hormonal imbalances, influenced willingness to use MPTs.ConclusionAddressing the myths and misconceptions surrounding the use of contraceptives is crucial in promoting their acceptance and ultimate use. Strategies for addressing the drawbacks women might experience while using a particular product should be in place as new MPTs progress through the development pipeline and approach roll-out.

Robust, wide-range, and precise transmitter IQ impairment monitoring scheme for coherent digital subcarrier multiplexing systems.

In this Letter, we present a robust, wide-range, and precise monitoring scheme for transmitter (Tx) impairments in coherent digital subcarrier multiplexing (DSCM) systems. The proposed scheme employs frequency-domain pilot tones (FPTs) to compensate for frequency offset (FO), polarization aliasing, and carrier phase noise, thus isolating Tx impairments from channel distortions. It then implements 4 × 4 real-valued MIMO to compensate for Tx impairments by equalizing symmetric subcarriers. Tx impairment monitoring is derived from the equalizer coefficients. By considering the phase shift caused by Tx impairments, a wide-range and precise monitoring of Tx impairments including IQ skew, IQ phase, and gain imbalances is achieved. We experimentally validated our approach using a 48-GBaud, four-subcarrier, dual-polarization coherent DSCM system. The results confirm the method's capability for a wide-range, robust, and precise Tx impairment monitoring in coherent DSCM systems, maintaining performance even in the presence of ultra-fast polarization variation.

Postprandial hypoinsulinemic hypoglycemia as a clue to hidden purging behavior in an adolescent boy with disordered eating

Postprandial hypoglycemia, hypoglycemia occurring within four hours of intake of meals, is an extremely uncommon condition in children. We report the case of an adolescent boy who presented with excessive hunger, poor weight gain, anasarca, hypoalbuminemia, and electrolyte imbalance. Investigating the history of post-meal drowsiness showed postprandial hypoglycemia, which on subsequent evaluation revealed elevated fasting insulin and suppressed postprandial insulin levels. This eventually led to the uncovering of a deliberately and cleverly concealed purging behavior. A meticulous interview of the family and the child confirmed the diagnosis of anorexia nervosa, binge-purging type, and averted unnecessary further investigations into the cause of failure to thrive.

Analysis and Simulation of Current Balancer Circuit for Phase-Gain Correction of Unbalanced Differential Signals

The phase and gain imbalance of a balun output can be adjusted by a differential current balancer (DCB) circuit. The performance of DCB circuit, for correcting the phase (gain) imbalance, is analyzed for a wide range of input signal level, and the accuracy is verified with circuit simulation. To illustrate the phase-error/gain-error (PE/GE) correction, a 30–40[Formula: see text]GHz DCB circuit is designed and simulated in a 180-nm CMOS process. The DCB is examined for input PE, [Formula: see text], of [Formula: see text] and input GE, GA, of [Formula: see text][Formula: see text]dB. Analysis and simulation illustrate an output phase error [Formula: see text] of [Formula: see text] and output gain error [Formula: see text] of [Formula: see text][Formula: see text]dB, over frequency range of 20–50[Formula: see text]GHz. The results of DCB circuit for PE (GE) compensation are compared to that of phase-correction technique (PCT) circuit, illustrating the superior phase (gain) imbalance correction of the DCB circuit with lower NF and DC power consumption.

Efficacy of Fluid Distribution Timetable on the Treatment Adherence of Patients with End-stage Renal Disease: a Randomized Controlled Trial

Fluid restriction non-adherence poses a substantial challenge in the management of patients undergoing hemodialysis, contributing to adverse health outcomes such as increased intradialytic weight gain and electrolyte imbalances. This study aimed to evaluate the effectiveness of a fluid distribution timetable in promoting adherence to fluid restriction among individuals with end-stage renal disease undergoing hemodialysis. Conducted from January to February 2023, the randomized controlled trial enrolled 40 patients who were assigned either to receive the fluid distribution timetable or standard care in a single-blind manner. The results demonstrated statistically significant differences in thirst scores between the treatment and control groups during weeks three and four of follow-up, with partial eta-squared values of 0.56 and 0.42, respectively. Moreover, participants in the treatment group reported decreased thirst and interdialytic weight gain, consistent with previous research findings. Qualitative analysis revealed additional insights into the physical benefits, psychological effects, and appropriateness of the intervention, as well as suggestions for improvement. Participants expressed appreciation for the simplicity and clarity of the tool, while also highlighting the potential for digital adaptation and personalized scheduling to enhance its effectiveness. Despite initial challenges, such as adjusting to the intervention, many participants overcame barriers with the support of healthcare providers and recognized the intervention's value in promoting adherence to fluid restriction. In conclusion, these findings underscore the importance of patient-centered approaches in healthcare delivery, emphasizing the need for tailored interventions to optimize outcomes in hemodialysis patients.

Coherent optical transmitter IQ imbalance mitigation with embedded carrier phase and frequency offset estimation.

We present a 4×4 real-valued channel equalizer with embedded phase estimator, designed for carrier phase and frequency offset estimation and compensation in coherent optical communications with in-phase/quadrature (IQ) impairments. These impairments include IQ timing skew, gain imbalance, and quadrature phase errors at the transmitter side. To achieve adaptive control of the equalizer's filter coefficients, we employ the decision-directed least mean square (DD-LMS) algorithm. This algorithm minimizes the error between the filter outputs and the desired signals in a symbol-by-symbol manner, resulting in faster channel coefficients adaptation speed. Simulation results for a 60 GBaud polarization-multiplexing 16 quadrature amplitude modulation (PM-16QAM) signal demonstrate that our proposed equalizer outperforms a 2×2 cascaded multi modulus algorithm-based (CMMA-based) equalizer, a 2×2 complex-valued method based on the DD-LMS algorithm, and the 4×4 real-valued equalizer without embedded frequency offset estimation (FOE), when the transmitter IQ impairments exist. Experimental validation is also conducted for the 60 GBaud PM-16QAM and 45 GBaud PM-64QAM signals. Similar to the simulation results, our experiments show that the proposed 4×4 real-valued equalizer with embedded FOE can achieve effective SNR penalties of less than 0.41 dB at 7 ps skew, 1.33 dB at 3.5 dB gain imbalance, and 1.64 dB at the bias voltage shift of 0.5 V for the 60 GBaud PM-16QAM signal. Finally, our experimental results confirm the effectiveness of our proposed method in carrier phase estimation as well as the frequency offset compensation, when compared with 4×4 real-valued equalizer without embedded FOE.

Convolutional Neural Network for Array Size Selection of a Dual-band Reconfigurable Array

A convolutional neural network (CNN) is designed and trained to partially control a dual-band, large uniform rectangular array of reconfigurable radiating elements. The CNN selects the number of active elements and switch states needed to achieve a desired beam shape. Both pattern multiplication and finite element method (FEM) are used to simulate the radiation patterns of a PIN-diode square-spiral antenna array. After training on radiation pattern images of arrays calibrated for both phase and gain imbalance and mutual coupling, the CNN achieves 97 percent validation accuracy. Then, using the resulting size and switch states, the patterns are simulated with and without mutual coupling using the pattern multiplication model and FEM, respectively. The mean beam steering and 3-dB beamwidth errors without mutual coupling are less than 5.5 degrees and up to 12.3 degrees with mutual coupling.

COSMOGLOBE DR1 results

We present COSMOGLOBEData Release 1, which implements the first joint analysis of WMAP andPlanckLFI time-ordered data, processed within a single Bayesian end-to-end framework. This framework directly builds on a similar analysis of the LFI measurements by the BEYONDPLANCKcollaboration, and approaches the cosmic microwave background (CMB) analysis challenge through Gibbs sampling of a global posterior distribution, simultaneously accounting for calibration, mapmaking, and component separation. The computational cost of producing one complete WMAP+LFI Gibbs sample is 812 CPU-h, of which 603 CPU-h are spent on WMAP low-level processing; this demonstrates that end-to-end Bayesian analysis of the WMAP data is computationally feasible. We find that our WMAP posterior mean temperature sky maps and CMB temperature power spectrum are largely consistent with the official WMAP9 results. Perhaps the most notable difference is that our CMB dipole amplitude is 3366.2 ± 1.4 μK, which is 11 μK higher than the WMAP9 estimate and 2.5σhigher than BEYONDPLANCK; however, it is in perfect agreement with the HFI-dominatedPlanckPR4 result. In contrast, our WMAP polarization maps differ more notably from the WMAP9 results, and in general exhibit significantly lower large-scale residuals. We attribute this to a better constrained gain and transmission imbalance model. It is particularly noteworthy that theW-band polarization sky map, which was excluded from the official WMAP cosmological analysis, for the first time appears visually consistent with theV-band sky map. Similarly, the long standing discrepancy between the WMAPK-band and LFI 30 GHz maps is finally resolved, and the difference between the two maps appears consistent with instrumental noise at high Galactic latitudes. Relatedly, these updated maps allowed us for the first time to combine WMAP and LFI polarization data into a single coherent model of large-scale polarized synchrotron emission. Still, we identified a few issues that require additional work, including (1) low-level noise modeling; (2) large-scale temperature residuals at the 1–2 μK level; and (3) a strong degeneracy between the absoluteK-band calibration and the dipole of the anomalous microwave emission component. We conclude that leveraging the complementary strengths of WMAP and LFI has allowed the mitigation of both experiments’ weaknesses, and resulted in new state-of-the-art WMAP sky maps. All maps and the associated code are made publicly available through the COSMOGLOBEweb page.

Optimal equivalent‐time sampling for periodic complex signals with digital down‐conversion

AbstractEquivalent‐time sampling can improve measurement or sensing systems because it enables a broader frequency band and higher delay resolution for periodic signals with lower sampling rates than a Nyquist receiver. Meanwhile, a digital down‐conversion (DDC) technique can be implemented using a straightforward radio frequency (RF) circuit. It avoids timing skew and in‐phase/quadrature gain imbalance instead of requiring a high‐speed analog‐to‐digital converter to sample an intermediate frequency (IF) signal. Therefore, when equivalent‐time sampling and DDC techniques are combined, a significant synergy can be achieved. This study provides a parameter design methodology for optimal equivalent‐time sampling using DDC.

Ablation of miRNA-22 protects against obesity-induced adipocyte senescence and ameliorates metabolic disorders in middle-aged mice

High-fat diet (HFD) promotes obesity-related metabolic complications by activating cellular senescence in white adipose tissue (WAT). Growing evidence supports the importance of microRNA-22 (miR-22) in metabolic disorders and cellular senescence. Recently, we showed that miR-22 deletion attenuates obesity-related metabolic abnormalities. However, whether miR-22 mediates HFD-induced cellular senescence of WAT remains unknown. Here, we uncovered that obese mice displayed increased pri-miR-22 levels and cellular senescence in WAT. However, miR-22 ablation protected mice against HFD-induced WAT senescence. In addition, in vitro studies showed that miR-22 deletion prevented preadipocyte senescence in response to Doxorubicin (Doxo). Loss-of-function studies in vitro and in vivo revealed that miR-22 increases H2ax mRNA and γH2ax levels in preadipocytes and WAT without inducing DNA damage. Intriguingly, miR-22 ablation prevented HFD-induced increase in γH2ax levels and DNA damage in WAT. Similarly, miR-22 deletion prevented Doxo-induced increase in γH2ax levels in preadipocytes. Adipose miR-22 levels were enhanced in middle-aged mice fed a HFD than those found in young mice. Furthermore, miR-22 deletion attenuated fat mass gain and glucose imbalance induced by HFD in middle-aged mice. Overall, our findings indicate that miR-22 is a key regulator of obesity-induced WAT senescence and metabolic disorders in middle-aged mice.

Commensal Fungus Candida albicans Maintains a Long-Term Mutualistic Relationship with the Host To Modulate Gut Microbiota and Metabolism.

ABSTRACTCandida albicans survives as a commensal fungus in the gastrointestinal tract, and that its excessive growth causes infections in immunosuppressed individuals is widely accepted. However, any mutualistic relationship that may exist between C. albicans and the host remains undetermined. Here, we showed that a long-term feeding of C. albicans does not cause any noticeable infections in the mouse model. Our 16S and 18S ribosomal DNA (rDNA) sequence analyses suggested that C. albicans colonizes in the gut and modulates microbiome dynamics, which in turn mitigates high-fat-diet-induced uncontrolled body weight gain and metabolic hormonal imbalances. Interestingly, adding C. albicans to a nonobesogenic diet stimulated the appetite-regulated hormones and helped the mice maintain a healthy body weight. In concert, our results suggest a mutualism between C. albicans and the host, contrary to the notion that C. albicans is always an adversary and indicating it can instead be a bona fide admirable companion of the host. Finally, we discuss its potential translational implication as a probiotic, especially in obese people or people dependent on high-fat calorie intakes to manage obesity associated complications.IMPORTANCE Candida albicans is mostly considered an opportunistic pathogen that causes fetal systemic infections. However, this study demonstrates that in its commensal state, it maintains a long-term mutualistic relationship with the host and regulates microbial dynamics in the gut and host physiology. Thus, we concluded that C. albicans is not always an adversary but rather can be a bona fide admirable companion of the host. More importantly, as several genomic knockout strains of C. albicans were shown to be avirulent, such candidate strains may be explored further as preferable probiotic isolates to control obesity.

Low-Complexity I/Q Imbalance Calibration Algorithm Based on Zero-IF Receiver

Although the scheme of designing transceiver with zero-IF architecture reduces the design cost, complexity and power loss of the system, this architecture is more sensitive to the I/Q mismatch problem existing in the analog front-end and it is difficult to eliminate the image interference caused by the mismatch. Therefore, a fast and low-cost I/Q imbalance calibration algorithm is needed. As for the problem of I/Q imbalance in zero-IF receiver, a blind estimation algorithm for extracting the calibration parameters and signal compensation is proposed because of the complexity of calculation and hardware circuit, as well as the power consumption of resources under the traditional algorithm. Based on the statistical property of the signal, this algorithm has the specific characteristics of low computational complexity and being easy to implement in hardware circuit. Due to different ideas of parameters extraction, a special calibration model is designed. The result of simulation shows that the proposed algorithm has not only better performance in compensation parameters estimation, but also better calibration performance than the traditional algorithm. By comparing the calibration performance in the case of different gain imbalances or phase imbalances, we can see that the algorithm can maintain a good calibration performance under different imbalance conditions.

Design and Analysis of High-Gain and Compact Single-Input Differential-Output Low Noise Amplifier for 5G Applications

This letter describes the design, analysis, and testing of a 28-GHz single-input differential-output (SIDO) low-noise amplifier (LNA) with a noise figure of 2.5 dB, compact size (0.25 mm²), and high gain (22.3 dB). The proposed LNA was fabricated using the Taiwan Semiconductor Manufacturing Company (TSMC) 65-nm CMOS process. This amplifier contains a two-stage common-source (CS) buffer amplifier for a low-noise design and combines CS and common-gate transistors for converting single-ended signal into differential signal. A novel method of common-mode rejection ratio optimization is used to determine the optimal phase compensation transmission line and transistor size to reduce gain and phase imbalances simultaneously. The gain and phase imbalances were 0.042 dB and 2.6° at 28 GHz, respectively. Compared with published LNAs, this SIDO LNA achieved the high figure of merits (FoMs) of 7.17 and 2.27, respectively. Therefore, this LNA can be used for 5G NR band of n257 (26.5-29.5 GHz), n258 (24.25-27.5 GHz), and n261 (27.5-28.35 GHz).

Transceiver Impairment Mitigation by 8×2 Widely Linear MIMO Equalizer With Independent Complex Filtering on IQ Signals

High-order modulation formats with high symbol rates are promising candidates for meeting the growing traffic requirements of digital coherent transmission. In using these modulation formats, the impact of transceiver impairment on the signal quality becomes significant. In this paper, we propose an 8×2 widely linear (WL) multiple-input multiple-output (MIMO) equalizer with independent complex filtering on IQ signals to mitigate linear transceiver impairments. Furthermore, we extend the equalizer for digital subcarrier (SC) multiplexing. Accordingly, a 16×4 WL MIMO equalizer is also proposed to mitigate linear transceiver impairments, through application to a pair of SC inputs. Experimental results show that, for transmission of a 58-GBaud polarization-multiplexing 64 quadrature amplitude modulation (PM-64QAM) single-carrier signal, the proposed method effectively compensates for various receiver impairments and also mitigates transmitter (Tx) impairments. Q-penalties of 0.1 dB up to a 10-ps skew, 2.5-dB gain imbalance, 7.2-degree phase error, and –15-dB crosstalk in Tx were achieved for 100-km standard single-mode fiber transmission. Moreover, for a 29-GBaud PM-64QAM dual-SC signal, the proposed 16 × 4 WL MIMO equalizer shows transceiver impairment mitigation performance similar to that in the single-carrier case, even though dual-SC transmission is less tolerant of laser phase noise.

A 60-GHz Variable-Gain Phase Shifter With Particular-Sized Digital-RF Cells

A 60-GHz variable-gain active phase shifter using particular-sized digital-RF cells is proposed, which is fabricated using a 65-nm CMOS process. The phase shifter consists of an input buffer, an <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$I/Q$ </tex-math></inline-formula> generator, and vector-summing amplifiers with digital-RF cells. In a vector-sum phase shifter using a conventional tail current steering scheme, the operation regions of vector-summing amplifiers are changed with phase and gain states. Accordingly, their input impedances are altered significantly, which causes gain and phase imbalances of the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$I/Q$ </tex-math></inline-formula> generator, especially around 0°, 90°, 180°, and 270°. This makes the rms phase and gain errors of the phase shifter increase. In this article, a vector-summing amplifier that always has a constant input impedance in all phases and gain states is proposed. A circular constellation and a dynamic range of more than 15 dB are implemented by using particular-sized digital-RF cells. The proposed phase shifter shows the rms gain and phase errors of < 0.29 dB and <2.01°, respectively, in a 10-GHz bandwidth of 55–65 GHz with 3-bit gain and 4-bit phase resolutions. The chip area and power consumption are 0.38 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> and 25.2 mW, respectively.

A Digital-Simulation Model for a Full-Polarized Microwave Radiometer System and Its Calibration

A digital-correlation full-polarized microwave radiometer is an important passive remote sensor, as it can obtain the amplitude and phase information of an electromagnetic wave at the same time. It is widely used in the measurement of sea surface wind speed and direction. Its configuration is complicated, so the error analysis of the instrument is often difficult. This paper presents a full-polarized radiometer system model that can be used to analyze various errors, which include input signal models and a full-polarized radiometer (receiver) model. The input signal models are generated by WGN (white Gaussian noise), and the full-polarized radiometer model consists of an RF front-end model and digital back-end model. The calibration matrix is obtained by solving the overdetermined equations, and the output voltage is converted into Stokes brightness temperature through the calibration matrix. Then, we use the four Stokes parameters to analyze the sensitivity, linearity, and calibration residuals, from which the simulation model is validated. Finally, two examples of error analysis, including gain imbalance and quantization error, are given through a simulation model. In general, the simulation model proposed in this paper has good accuracy and can play an important role in the error analysis and pre-development of the fully polarized radiometer.

Transmitter and receiver impairment monitoring using adaptive multi-layer linear and widely linear filter coefficients controlled by stochastic gradient descent.

We propose a monitoring method for individual impairments in a transmitter (Tx) and receiver (Rx) by using filter coefficients of multi-layer strictly linear (SL) and widely linear (WL) filters to compensate for relevant impairments where the filter coefficients are adaptively controlled by stochastic gradient descent with back propagation from the last layer outputs. Considering the order of impairments occurring in a Tx or Rx of coherent optical transmission systems and their non-commutativity, we derive a model relating in-phase (I) and quadrature (Q) skew, IQ gain imbalance, and IQ phase deviation in a Tx or Rx to the WL filter responses in our multi-layer filter architecture. We evaluated the proposed method through simulations using polarization-division multiplexed (PDM)-quadrature phase shift keying and a transmission experiment of 32-Gbaud PDM 64-quadrature amplitude modulation over a 100-km single-mode fiber span. The results indicate that both Tx and Rx impairments could be individually monitored by using the filter coefficients of adaptively controlled multi-layer SL and WL filters precisely and simultaneously, decoupled by chromatic dispersion and frequency offset, even when multiple impairments existed.

Design and Implementation of a Reconfigurable Wideband Radio Frequency Spectrum Analyzer With Image Rejection in the Digital Domain

Most existing radio frequency (RF) spectrum analyzers use conventional superheterodyne architecture to remove images associated with the down conversion of RF input frequency to some intermediate frequency (IF) for further processing, and their complexity increases as the frequency range of interest is extended. This article describes a novel digital system architecture for spectrum analyzers based on quadrature down conversion. Quadrature down conversion architectures where image responses are inherently rejected are normally used to analyze a single frequency or a very narrow frequency spectrum. This article proposes using quadrature architecture in an ultrawideband spectrum analysis application. A wideband spectrum analyzer receiver with compensation for gain and phase imbalances in the RF input range, as well as compensation for gain and phase imbalances within the IF passband complete with resolution bandwidth (RBW) filtering, video bandwidth (VBW) filtering, and amplitude detection, is implemented in a low-cost field-programmable gate arrays (FPGAs). The proposed method still achieves the desired image rejection performance specification, is power-efficient, and significantly simplifies the RF front-end hardware in comparison to state-of-the-art methods.

Enhanced Propriety-Based I/Q Imbalance Compensation in LTE/NR Receivers

In mobile communications, radio-frequency receivers are mainly implemented using the direct-conversion architecture. A critical aspect in the design of this receiver type is the matching between the analog in-phase (I) and quadrature (Q) paths. Any gain or phase imbalance generates image components in the baseband, which distort the desired receive signal. Many digital solutions for online compensation of this effect have been proposed in the literature. A common statistical measure that is used by non-data-aided algorithms is the so-called propriety of the receive signal. This concept is suitable for most communication signals, but fails, for instance, in case of the real-valued binary phase-shift keying (BPSK) modulation. In this work, we provide a thorough statistical analysis of Long-Term Evolution (LTE) and New Radio (NR) up- and downlink sequences, which allows us to extend a propriety-based estimator to improper alphabets. This algorithm employs the method of moments. We show that the observed signal statistics can be altered by omitting a predefined set of samples. In a second step, we prove that this concept substantially enhances the imbalance compensation also for proper quadrature amplitude modulation (QAM) alphabets. All theoretical results are supported by simulations to evaluate the actual performance gains in practical scenarios. Depending on the resource block allocation and the noise levels, we obtain double-digit improvements of the image rejection ratio, while reducing the computational effort by about 6.6% compared to the standard moment-based I/Q imbalance estimator.