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

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 detectio...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2022-09, Vol.71 (9), p.9363-9374
Main Authors: Xiao, Yu-Hang, Ramirez, David, Schreier, Peter J., Qian, Cheng, Huang, Lei
Format: Article
Language:English
Subjects:
Algorithms
Analog to digital converters
Closed form solutions
Degradation
Detectors
Exact solutions
Maximum likelihood estimation
MIMO communication
MIMO radar
Multiple-input multiple-output (MIMO) radar
Object detection
one-bit analog-to-digital converter (ADC)
Performance degradation
Performance evaluation
Quantization (signal)
Radar detection
Rao’s test
Signal to noise ratio
Target detection
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Summary: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.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2022.3178285