LiQuiD-MIMO Radar: Distributed MIMO Radar with Low-Bit Quantization

TL;DR

This paper introduces LiQuiD-MIMO radar, a low-bit quantized distributed MIMO radar system that reduces data transmission complexity while maintaining accurate target detection through advanced digital processing and robust PCA techniques.

Contribution

It proposes a novel low-bit quantized distributed MIMO radar architecture with an algorithm to compensate quantization distortion and accurately estimate target parameters.

Findings

Achieves accurate target parameter estimation with low-resolution ADCs.

Reduces data transmission and processing complexity in distributed MIMO radar.

Demonstrates robustness of the proposed method through numerical experiments.

Abstract

Distributed MIMO radar is known to achieve superior sensing performance by employing widely separated antennas. However, it is challenging to implement a low-complexity distributed MIMO radar due to the complex operations at both the receivers and the fusion center. This work proposed a low-bit quantized distributed MIMO (LiQuiD-MIMO) radar to significantly reduce the burden of signal acquisition and data transmission. In the LiQuiD-MIMO radar, the widely-separated receivers are restricted to operating with low-resolution ADCs and deliver the low-bit quantized data to the fusion center. At the fusion center, the induced quantization distortion is explicitly compensated via digital processing. By exploiting the inherent structure of our problem, a quantized version of the robust principal component analysis (RPCA) problem is formulated to simultaneously recover the low-rank target information matrices as well as the sparse data transmission errors. The least squares-based method is then employed to estimate the targets' positions and velocities from the recovered target information matrices. Numerical experiments demonstrate that the proposed LiQuiD-MIMO radar, configured with the developed algorithm, can achieve accurate target parameter estimation.