Yu-Hang Xiao;David Ramírez;Lei Huang;Xiao Peng Li;Hing Cheung So
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引用次数: 0
摘要
在多输入多输出(MIMO)雷达系统中,单比特采样已成为一种很有前途的技术,因为它能显著减少数据量、硬件复杂性和功耗。然而,目前的检测方法还没有充分解决实际场景中经常遇到的彩色噪声的影响。在本文中,我们提出了一种在 MIMO 雷达系统中考虑彩色噪声的新型检测方法。具体来说,我们通过计算与目标反射率参数和费舍尔信息矩阵相关的似然函数导数来推导 Rao 检验,从而得到一种加权匹配滤波器形式的检测器。为了确保恒定的误报率(CFAR),我们还考虑了噪声协方差的不确定性,并研究了其对误报概率的影响。我们还对检测概率进行了分析研究。仿真结果表明,在存在彩色噪声的情况下,所提出的检测器能提供相当大的性能提升。
One-Bit Target Detection in Colocated MIMO Radar With Colored Background Noise
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.
期刊介绍:
The IEEE Transactions on Signal Processing covers novel theory, algorithms, performance analyses and applications of techniques for the processing, understanding, learning, retrieval, mining, and extraction of information from signals. The term “signal” includes, among others, audio, video, speech, image, communication, geophysical, sonar, radar, medical and musical signals. Examples of topics of interest include, but are not limited to, information processing and the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals.