Dual-function MIMO communication and radar with multi-target priorities and fairness

Bistatic MIMO radar for exact near-field target localization with COLD arrays

Spectrally compatible MIMO radar waveform design for extended target detection

Reinforcement Learning-Based Multi-Target Detection Method for MIMO Radar Assisted by Strong Target Limitation

Joint design of waveform and filter for MIMO radar based on target information maximization over a manifold algorithm

Spectrally compatible waveform design with low correlation sidelobe for MIMO radar under time-varying spectral environment

Target localization with coprime multistatic MIMO radar via coupled canonical polyadic decomposition based on joint eigenvalue decomposition

Suppression of Saturated Forward Jamming via Iterative Reconstruction With MIMO Radar

RCI-DUNet: Efficient Complex-Valued Deep Unrolling Network for Multiview MIMO Radar Coincidence Imaging

Robust Transmit Beampattern Synthesis for Wideband MIMO Radar in Spectrally Crowded Environments

This work presents the design and experimental validation of a high-performance 6-port MIMO antenna array designed for radar applications in the 24 GHz Industrial, Scientific, and Medical (ISM) band. The proposed design, configured as a 1 × 10 series-fed microstrip patch array on an RT/Duroid 5880 substrate, is engineered to meet the demanding requirements of automotive and industrial radar systems, where high resolution and target discrimination are critical. A key challenge in such dense MIMO arrays is mutual coupling, which was addressed by integrating novel metamaterial structures between the radiating elements. These structures effectively suppress surface waves, resulting in exceptional inter-port isolation exceeding 46 dB at 24.3 GHz. The antenna achieves a peak gain of 17.4 dBi, ensuring sufficient range for sensing applications. Furthermore, the radiation pattern exhibits a simulated low side lobe level (SLL) of −24.6 dB in the E-plane, and −15.8 dB in the H-plane, a critical parameter for minimizing false detections and enhancing accuracy in cluttered environments. With an operational bandwidth of 0.71 GHz, the proposed design demonstrates comprehensive performance metrics—high gain, outstanding isolation, and low SLL—that surpass many existing MIMO solutions. The results confirm the antenna’s strong potential for advanced MIMO radar systems operating in the 24 GHz-ISM band, paving the way for reliable high-resolution sensing.

With respect to distributed MIMO radar systems, conventional far-field detection methods fail under near-field conditions due to significant wavefront curvature, which inevitably results in target energy loss and erroneous parameter estimation. To solve this problem, we propose a near-field target detection framework based on range–angle-coupled matching in this study. Firstly, we design the linear frequency modulation by frequency division (FD-LFM) signal. In addition to offering favorable orthogonality and Doppler tolerance, the transmitter of distributed MIMO radar employs a wide beamwidth to mitigate the low scanning efficiency associated with beam positioning in distributed phased array (PA) radar systems. Secondly, we develop a three-dimensional grid-based echo model for near-field targets in range–azimuth–elevation domain. Specifically, we conceive a coherent pulse integration method via multi-dimensional matching, which enables precise delay alignment and echo accumulation across all transmit–receive pairs for accurate near-field target detection. Thirdly, we propose a parallelization scheme for distributed MIMO radar near-field processing. Our proposal not only compensates effectively for spherical wave propagation effects but also achieves real-time processing through GPU acceleration. Finally, our proposed method’s feasibility of high resolution and effectiveness of near-field detection have been verified by field experimental simulation and actual measurement processing results.

Target localization with bistatic MIMO radar based on Vandermonde constrained canonical polyadic decomposition

Unimodular Sequence Set Design With Desired Multidimensional Properties for MIMO Radar

Performance Prediction of Signal Integration for Coherent MIMO Radar With Random Amplitude Errors

Human Action Recognition Based on Bimodal Data and Spationtemporal Features Using UWB MIMO Radar

Countering Cross-Eye Jamming Signal With Fast Sparse Bayesian Learning for Subarray MIMO Radar

A Time-Efficient and Robust Indoor Stationary Human Localization Method Using a Through-Wall MIMO Radar

Design of Complementary PCFM Waveform Set for Smearing Spectrum Jamming Suppression in MIMO Radar Systems

Integrating DDMA and CDMA MIMO Radar Functionalities into SIMO Systems: A Case Study with the MU Radar