One-Bit Radar Processing With Time-Varying Sampling Thresholds
One-Bit Radar Processing With Time-Varying Sampling Thresholds
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DOI：
10.1109/tsp.2019.2939086
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发表时间：
2019-10
影响因子：
5.4
通讯作者：
A. Ameri;Arindam Bose;Jian Li;M. Soltanalian
中科院分区：
文献类型：
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作者：
A. Ameri;Arindam Bose;Jian Li;M. Soltanalian
目标参数估计在主动传感，特别是雷达信号处理中，是一个长期存在的问题，已被广泛研究。在本文中，我们提出了一种新的目标参数估计方法的情况下，一位模数转换器（ADC），也被称为信号比较器与时变阈值，被用来采样接收到的雷达信号，而不是高分辨率ADC。所考虑的问题在民用应用中的廉价雷达和传感设备的设计中具有潜在的应用，并且可能为未来采用低分辨率ADC的雷达系统铺平道路，以实现更快的采样和高分辨率目标确定。我们制定的目标估计作为一个多变量加权最小二乘优化问题，可以解决一个循环的方式。数值结果显示了所提出算法的有效性。
Target parameter estimation in active sensing, and particularly radar signal processing, is a long-standing problem that has been studied extensively. In this paper, we propose a novel approach for target parameter estimation in cases where one-bit analog-to-digital-converters (ADCs), also known as signal comparators with time-varying thresholds, are employed to sample the received radar signal instead of high-resolution ADCs. The considered problem has potential applications in the design of inexpensive radar and sensing devices in civilian applications, and can likely pave the way for future radar systems employing low-resolution ADCs for faster sampling and high-resolution target determination. We formulate the target estimation as a multivariate weighted-least-squares optimization problem that can be solved in a cyclic manner. Numerical results are provided to exhibit the effectiveness of the proposed algorithms.