Bistatic MIMO Radar System Research Articles

A Bistatic MIMO Radar System Exploiting Mixed-Resolution Quantization

A Bistatic MIMO Radar System Exploiting Mixed-Resolution Quantization

A Compressive Measurement-Based Bistatic MIMO Radar System for Direction Finding

A Compressive Measurement-Based Bistatic MIMO Radar System for Direction Finding

Closed-form estimation algorithm for EMVS-MIMO radar with arbitrary sensor geometry

In this paper, we investigate into the problem of target localization in bistatic MIMO radar system with the prototype of arbitrary EMVS. A novel subspace algorithm is derived, which offers closed-form solution to 2D-DOD and 2D-DOA estimation. The core of the proposed algorithm is to construct the normalized Poynting vector via the vector cross-product of two special vectors, which consist of the rotation invariant factors of the array and can be estimated through the least squares technique. The proposed algorithm can provide automatically paired 2D-DOD, 2D-DOA, and polarization parameters estimation. Moreover, it is insensitive to the sensor position error. The proposed algorithm is analyzed in detail, and numerical simulations are provided to verify its effectiveness.

Conditional and Unconditional Cramér-Rao Bounds for Near-Field Localization in Bistatic MIMO Radar Systems

The location estimation problem has been attracting a lot of research interest in recent years due to its significance for different areas of signal processing. This paper deals with a bistatic MIMO radar system where the targets are located in the near-field region. In this work, we derive the Cramér-Rao bound (CRB) for bistatic MIMO radar systems using the exact spherical wavefront model to evaluate the performance of target parameter estimation algorithms. The conditional and unconditional CRBs are derived for a system with one and multiple targets. For the one target system, we provide an analytical inversion of the Fisher Information Matrix (FIM) and obtain closed-form analytical non-matrix expressions of the CRB corresponding to the Cartesian and spherical coordinates of the targets. We compare the derived conditional and unconditional CRB with the performance of state-of-the-art localization algorithms and analyse the dependence of the CRB on various system parameters.

An improved range deception jamming recognition method for bistatic MIMO radar

In this paper, recognition issue of range deception jamming is considered for bistatic MIMO radar systems. Generally, two factors of the error caused by Taylor expansion and unconstrained statistical hypothesis test in traditional methods will lead to unfavorable recognition probabilities of range deception jamming and target. To handle these two problems, first, the novel functions are constructed with the bistatic range history, the transmit cone angle and the receive cone angle by utilizing the characteristic of bistatic MIMO radar. Second, a nonlinear transformation is introduced to overcome the error caused by Taylor expansion. Third, target and range deception jamming are recognized under the constrained F hypothesis test instead of χ2 test. Compared with traditional methods, the proposed method exhibits superior recognition probability. At last, simulation results are given to illustrate the effectiveness of the proposed method.

Improvement of DOD/DOA Estimation for Bistatic MIMO Radar

In this paper, we apply the Newton-type method for the optimization of cost functions for spectrum estimation-based bistatic DOD (direction of departure)/DOA (direction of arrival) estimation algorithm of the bistatic conventional beamforming and the bistatic capon beamforming algorithm in the bistatic MIMO radar system. Explicit expressions of the first derivatives and the second derivatives of the cost functions are presented. The Newton-type search for simultaneous update of the DOD/DOA based on the gradient and the Hessian of the cost function is also presented. The performance improvement in terms of estimation accuracy is demonstrated using the Monte–Carlo simulations.

A nested-PARAFAC based approach for target localization in bistatic MIMO radar systems

Bistatic MIMO radar systems gather several advantages such as increased resilience to electronic countermeasures, unknown receiver location, higher identifiability of targets and direct application of several high resolution adaptive techniques. In this paper, we propose a tensor-based method for joint direction of departure (DoD) and direction of arrival (DoA) estimation in bistatic MIMO radar systems. By assuming that the transmit array is divided into two maximally overlapping subarrays, we initially model the cross-covariance matrix of the matched filters outputs as a Nested-PARAFAC decomposition of a fourth-order covariance tensor. Then, exploiting the structure of this decomposition, we first propose a two stage algorithm for joint DoD and DoA estimation of multiple targets based on double alternating least squares (DALS). In addition, for scenarios in which the number of receive antennas exceeds the number of targets, we propose a closed-form solution to the second stage of the proposed method based on the least squares Khatri-Rao factorization (LS-KRF) concept. Simulation results show that the proposed method offers a highly-accurate localization of multiple targets in real-world scenarios where the antenna elements at the transmit and receive arrays have positioning errors as well as less complexity compared to competing state-of-the-art tensor-based solutions.

Tracking Multiple Targets in MIMO Radar Via Adaptive Asymmetric Joint Diagonalization

Direction finding for multiple targets is one of the most important tasks in MIMO radar applications. The existing algorithms such as MUSIC and ESPRIT for direction finding can only achieve the localization of multiple targets with unchanged location parameters due to their batch mode. In this paper, we show that the multiple targets localization and tracking in a bistatic MIMO radar system can be solved by adaptive asymmetric joint diagonalization, where the fluctuation of target radar cross section (RCS) is regarded as a source of time diversity for matched data, and the algebraic structure of the matched data themselves rather than their statistics is exploited. The resulting algorithm can achieve not only the localization but also tracking of multiple targets since it estimates the target location parameters in a recursive mode. The identifiability of the proposed algorithm is analyzed and the Cramer–Rao lower bound is also derived as performance benchmark. Simulation results show that the proposed algorithm has comparable localization accuracy to batch algorithms. Moreover, it exhibits good tracking capability for multiple targets with varying location parameters.

In brief

PAGE 1022 Researchers from the Institute of Image Processing and Pattern Recognition propose a simple algorithm with robust performance. It provides powerful image and video detail enhancement and is particularly useful for practical applications, being easily hardware implemented in field-programmable gate arrays. PAGE 1060 A team from the University of Nantes in France present an accurate model-based method for estimating the position of targets, using a bistatic MIMO radar system. They used factor analysis to estimate components and to precisely locate the targets in terms of Cartesian coordinates. The final enhanced images and videos tend to be more visible and natural looking PAGE 996 Collaboration between the Technical University of Denmark and Chungnam National University in Korea has produced a new circuit layout that enables precise matching of reactive values in small electric and magnetic spherical dipole antennas. The experimental results verified those of the circuit and electromagnetic simulations. GPR and indoor localisation are some typical applications of near field source localisation PAGE 1054 An integrated balancing transformer for a high frequency parallel AC-LED drive circuit is proposed. The team from Gyeongsang National University designed and implemented the transformer, with the experimental results showing the operation and current balancing performance of the proposed scheme. It is expected that the proposed technique will prove useful for high power AC-LED applications. The results of this work can be effectively used in the engineering fields that require small magnetic antennas with wide-band operation PAGE 1045 A team from the Vienna University of Technology suggest an analogue-digital circuit for thermal control of the resonance frequency of optical ring resonators. Compared to a purely analogue heater control, the approach dissipates 7% less power. The approach is appropriate for controlling the individual cells of large optical switch matrices. The engineering application of this work includes high powered LED lighting applications The approach has been successfully verified with a test chip and is very important for the advancement of electronic-photonic integration

A Novel Method of Parameter Estimation in Wideband Bistatic MIMO Radar System

This paper proposes a new wideband signal model and a novel method in wideband bistatic MIMO radar system. Firstly, a new signal array model is proposed. Secondly, Doppler stretch and time delay are jointly estimated by searching the optimal rotation angle to meet concentrated-energy of the fractional correlation function. Furthermore, two algorithms are presented for the estimation of DODs and DOAs, including based on MUSIC algorithm and ESPRIT algorithm. Simulation results are presented to verity the effectiveness of the proposed method.

Angle Estimation in Bistatic MIMO Radar System based on Unitary ESPRIT

Angle estimation for a bistatic MIMO radar system based on Unitary Esprit techniques is proposed in this study. The algorithm exploits the dual invariance in distinct directions and centrosymmetry of the bistatic MIMO radar system to provide real valued computations and automatically paired Directions of Departures (DOD) and Directions of Arrival (DOA) estimates. Simulation results show the effectiveness of this method.

Parameter Estimation Based on Fractional Lower Order Statistics and Fractional Correlation in Wideband Bistatic MIMO Radar System

Parameter Estimation Based on Fractional Lower Order Statistics and Fractional Correlation in Wideband Bistatic MIMO Radar System

Joint DOD and DOA estimation of bistatic MIMO radar in the presence of unknown mutual coupling

In this paper, a decoupling-complex matrix (DCCM) method is proposed for joint direction of departure (DOD) and direction of arrival (DOA) estimation in the presence of unknown mutual coupling for bistatic MIMO radar system with orthogonal transmitted waveforms. The proposed method proceeds in two steps. First, the mutual coupling effect is compensated by setting the auxiliary elements on both sides of the transmitting and receiving uniform linear arrays (ULAs). Then, a complex matrix is constructed to estimate the DOD and DOA where the correct pairing is automatically given by the real and imaginary parts of complex eigenvalues. In addition, the mutual coupling coefficients can be solved in closed-form as a natural by-product of the DOD and DOA estimates. The effectiveness of our method is demonstrated with numerical simulations. The closed-form expressions for determined Cramér-Rao bounds (CRB) on angle and mutual coupling coefficient estimations are also derived.

Erratum to "Multitarget Identification and Localization Using Bistatic MIMO Radar Systems"

Erratum to "Multitarget Identification and Localization Using Bistatic MIMO Radar Systems"

Multitarget Identification and Localization Using Bistatic MIMO Radar Systems

A scheme for multitarget identification and localization using bistatic MIMO radar systems is proposed. Multitarget can be distinguished by Capon method, as well as the targets angles with respect to transmitter and receiver can be synthesized using the received signals. Thus, the locations of the multiple targets are obtained and spatial synchronization problem in traditional bistatic radars is avoided. The maximum number of targets that can be uniquely identified by proposed method is also analyzed. It is indicated that the product of the numbers of receive and transmit elements minus-one targets can be identified by exploiting the fluctuating of the radar cross section (RCS) of the targets. Cramer-Rao bounds (CRB) are derived to obtain more insights of this scheme. Simulation results demonstrate the performances of the proposed method using Swerling II target model in various scenarios.