One-Bit LFMCW Radar: Spectrum Analysis and Target Detection
One-Bit LFMCW Radar: Spectrum Analysis and Target Detection
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DOI：
10.1109/taes.2020.2978374
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发表时间：
2019-05
影响因子：
4.4
通讯作者：
Benzhou Jin;Jiang Zhu;Qi-hui Wu;Yuhong Zhang;Zhiwei Xu
中科院分区：
文献类型：
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作者：
Benzhou Jin;Jiang Zhu;Qi-hui Wu;Yuhong Zhang;Zhiwei Xu
一位雷达通过一位模数转换器执行信号采样和量化，由于其低成本和低功耗，对于许多民用应用来说是一种很有前途的技术。本文研究了 1 位线性调频连续波 (LFMCW) 雷达遇到的问题，提出了一种称为降维广义近似消息传递 (DR-GAMP) 方法的两阶段目标检测方法。首先，分析多目标场景下1位量化信号的频谱。表明高次谐波可能导致误报，不可忽视。其次，基于频谱分析，提出了DR-GAMP方法来进行目标检测。具体来说，首先采用线性预处理方法和目标预检测进行降维，然后利用广义近似消息传递算法抑制高次谐波并恢复真实目标。最后，通过数值仿真评估了1位LFMCW雷达在典型参数下的性能。结果表明，与采用线性处理方法的传统雷达相比，当目标输入信噪比较低时，1位LFMCW雷达具有约1.3dB的性能增益。在存在强目标的情况下，其性能损失约为 1.0dB。
One-bit radar, performing signal sampling and quantization by a 1-bit analog-to-digital converter, is a promising technology for many civilian applications due to its low-cost and low-power consumptions. In this article, problems encountered by a 1-bit linear-frequency-modulated continuous-wave (LFMCW) radar are studied, and a two-stage target detection method termed as the dimension-reduced generalized approximate message passing (DR-GAMP) approach is proposed. First, the spectrum of 1-bit quantized signals in a scenario with multiple targets is analyzed. It is indicated that high-order harmonics may result in false alarms and cannot be neglected. Second, based on the spectrum analysis, the DR-GAMP approach is proposed to carry out target detection. Specifically, linear preprocessing methods and target predetection are first adopted to perform the dimension reduction, and then, the generalized approximate message passing algorithm is utilized to suppress high-order harmonics and recover true targets. Finally, numerical simulations are conducted to evaluate the performance of the 1-bit LFMCW radar under typical parameters. It is shown that compared to the conventional radar applying linear processing methods, the 1-bit LFMCW radar has about 1.3-dB performance gain when the input signal-to-noise ratios of targets are low. In the presence of a strong target, it has about 1.0-dB performance loss.