Weak target detection with multi-bit quantization in colocated MIMO radar

TL;DR

This paper introduces a low-complexity multi-bit Rao test detector for weak target detection in colocated MIMO radar, optimizing quantization thresholds to nearly match unquantized performance.

Contribution

It proposes a novel multi-bit Rao test detector with a closed-form statistic and optimized quantization thresholds using PSO, enhancing detection with quantized data.

Findings

3-bit quantization performance approaches unquantized detection

The proposed detector outperforms classic GLRT for quantized data

Theoretical asymptotic distribution matches simulation results

Abstract

We consider the weak target detection problem with unknown parameter in colocated multiple-input multiple-output (MIMO) radar. To cope with the sheer amount of data for large-size systems, a multi-bit quantizer is utilized in the sampling process. As a low-complexity alternative to classic generalized likelihood ratio test (GLRT) for quantized data, we propose the multi-bit detector on Rao test with a closed-form test statistic, whose theoretical asymptotic distribution is provided to generalize the actual detection performance. Besides, we refine the design of quantizer by optimized quantization thresholds, which are obtained resorting to the popular particle swarm optimization algorithmthe (PSOA). The simulation is conducted to demonstrate the performance variations of detectors based on unquantized and quantized data. The numerical results corroborate our theoretical analyses and show that the performance with 3-bit quantization approaches the case without quantization.