One-Bit Target Detection in Colocated MIMO Radar with Colored Background Noise

Yu-Hang Xiao; David Ramírez; Lei Huang; Xiao Peng Li; Hing Cheung So

doi:10.1109/TSP.2024.3484582

One-Bit Target Detection in Colocated MIMO Radar with Colored Background Noise

Yu-Hang Xiao, David Ramírez, Lei Huang^*, Xiao Peng Li, Hing Cheung So

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

5 Citations (Scopus)

Abstract

One-bit sampling has emerged as a promising technique in multiple-input multiple-output (MIMO) radar systems due to its ability to significantly reduce data volume, hardware complexity, and power consumption. Nevertheless, current detection methods have not adequately addressed the impact of colored noise, which is frequently encountered in real scenarios. In this paper, we present a novel detection method that accounts for colored noise in MIMO radar systems. Specifically, we derive Rao's test by computing the derivative of the likelihood function with respect to the target reflectivity parameter and the Fisher information matrix, resulting in a detector that takes the form of a weighted matched filter. To ensure constant false alarm rate (CFAR), we also consider noise covariance uncertainty and examine its effect on the probability of false alarm. The detection probability is also studied analytically. Simulation results demonstrate that the proposed detector provides considerable performance gains in the presence of colored noise. © 2024 IEEE.

Original language	English
Pages (from-to)	5274-5290
Journal	IEEE Transactions on Signal Processing
Volume	72
Online published	4 Nov 2024
DOIs	https://doi.org/10.1109/TSP.2024.3484582
Publication status	Published - 2024

Funding

The work of Yu-Hang Xiao was supported by the National Natural Science Foundation of China under Grant 62201359. The work of David Ramírez was supported in part by the MICIU/AEI/10.13039/501100011033/FEDER, UE, under Grant PID2021- 123182OB-I00 (EPiCENTER) and Grant CPP2022-009537 (PreCARE), in part by the Office of Naval Research (ONR) Global under Grant N62909- 23-1-2002, in part by the Comunidad de Madrid under Grant IND2023/TIC27508 (IRIS), and in part by the Spanish Ministry of Economic Affairs and Digital Transformation and the European Union-NextGenerationEU through the UNICO 5G I+D SORUS project. The work of Lei Huang was supported in part by the National Science Fund for Distinguished Young Scholars under Grant 61925108, in part by the Key Project of International Cooperation and Exchanges of the National Natural Science Foundation of China under Grant 62220106009, in part by the project of Shenzhen Peacock Plan Teams under Grant KQTD20210811090051046 and Shenzhen University 2035 Program for Excellent Research.

Research Keywords

multiple-input multiple-output (MIMO) radar
One-bit analog-to-digital converter (ADC)
Rao's test
target detection

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title = "One-Bit Target Detection in Colocated MIMO Radar with Colored Background Noise",

abstract = "One-bit sampling has emerged as a promising technique in multiple-input multiple-output (MIMO) radar systems due to its ability to significantly reduce data volume, hardware complexity, and power consumption. Nevertheless, current detection methods have not adequately addressed the impact of colored noise, which is frequently encountered in real scenarios. In this paper, we present a novel detection method that accounts for colored noise in MIMO radar systems. Specifically, we derive Rao's test by computing the derivative of the likelihood function with respect to the target reflectivity parameter and the Fisher information matrix, resulting in a detector that takes the form of a weighted matched filter. To ensure constant false alarm rate (CFAR), we also consider noise covariance uncertainty and examine its effect on the probability of false alarm. The detection probability is also studied analytically. Simulation results demonstrate that the proposed detector provides considerable performance gains in the presence of colored noise. {\textcopyright} 2024 IEEE.",

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AU - Xiao, Yu-Hang

AU - Ramírez, David

AU - Huang, Lei

AU - Li, Xiao Peng

AU - So, Hing Cheung

PY - 2024

Y1 - 2024

N2 - One-bit sampling has emerged as a promising technique in multiple-input multiple-output (MIMO) radar systems due to its ability to significantly reduce data volume, hardware complexity, and power consumption. Nevertheless, current detection methods have not adequately addressed the impact of colored noise, which is frequently encountered in real scenarios. In this paper, we present a novel detection method that accounts for colored noise in MIMO radar systems. Specifically, we derive Rao's test by computing the derivative of the likelihood function with respect to the target reflectivity parameter and the Fisher information matrix, resulting in a detector that takes the form of a weighted matched filter. To ensure constant false alarm rate (CFAR), we also consider noise covariance uncertainty and examine its effect on the probability of false alarm. The detection probability is also studied analytically. Simulation results demonstrate that the proposed detector provides considerable performance gains in the presence of colored noise. © 2024 IEEE.

AB - One-bit sampling has emerged as a promising technique in multiple-input multiple-output (MIMO) radar systems due to its ability to significantly reduce data volume, hardware complexity, and power consumption. Nevertheless, current detection methods have not adequately addressed the impact of colored noise, which is frequently encountered in real scenarios. In this paper, we present a novel detection method that accounts for colored noise in MIMO radar systems. Specifically, we derive Rao's test by computing the derivative of the likelihood function with respect to the target reflectivity parameter and the Fisher information matrix, resulting in a detector that takes the form of a weighted matched filter. To ensure constant false alarm rate (CFAR), we also consider noise covariance uncertainty and examine its effect on the probability of false alarm. The detection probability is also studied analytically. Simulation results demonstrate that the proposed detector provides considerable performance gains in the presence of colored noise. © 2024 IEEE.

KW - multiple-input multiple-output (MIMO) radar

KW - One-bit analog-to-digital converter (ADC)

KW - Rao's test

KW - target detection

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EP - 5290

JO - IEEE Transactions on Signal Processing

JF - IEEE Transactions on Signal Processing

ER -

One-Bit Target Detection in Colocated MIMO Radar with Colored Background Noise

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