One-Bit Target Detection in Collocated MIMO Radar and Performance Degradation Analysis

TL;DR

This paper develops a Rao's test-based detector for MIMO radar with one-bit ADCs, providing a closed-form solution and analyzing the performance degradation due to quantization, with simulations validating the theoretical findings.

Contribution

It introduces a novel closed-form detector for one-bit MIMO radar target detection and analyzes the performance loss caused by quantization.

Findings

Approximately 2 dB performance loss at low SNR due to one-bit ADCs

Closed-form detector enables straightforward sign measurement handling

Theoretical performance evaluation matches simulation results

Abstract

Target detection is an important problem in multiple-input multiple-output (MIMO) radar. Many existing target detection algorithms were proposed without taking into consideration the quantization error caused by analog-to-digital converters (ADCs). This paper addresses the problem of target detection for MIMO radar with one-bit ADCs and derives a Rao's test-based detector. The proposed method has several appealing features: 1) it is a closed-form detector; 2) it allows us to handle sign measurements straightforwardly; 3) there are closed-form approximations of the detector's distributions, which allow us to theoretically evaluate its performance. Moreover, the closed-form distributions allow us to study the performance degradation due to the one-bit ADCs, yielding an approximate $2$ dB loss in the low-signal-to-noise-ratio (SNR) regime compared to $\infty$-bit ADCs. Simulation results are included to showcase the advantage of the proposed detector and validate the accuracy of the theoretical results.