One-Bit Target Detection in Collocated MIMO Radar with Colored Background Noise
arxiv(2024)
摘要
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 and processing requirements. 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 the constant false alarm rate (CFAR)
property, 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.
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