Fast and precise ranging based on Stepped-Frequency continuous wave radar measurements using compressive sensing algorithms

Haofei Wang, Lingyun Ren, O. Kilic, A. Fathy
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引用次数: 1

Abstract

Stepped-Frequency continuous wave (SFCW) radar suffers from the drawback of long data acquisition time which discourages its wide usage for practical applications. In this paper, we introduce a compressive sensing (CS) based data measurement scheme which only uses a small sample of the total frequency points to increase the data acquisition speed. Typically amplitude information is used in these schemes. However, for some applications that require a high precision range measurement of the target, the use of phase information of the target's profile is also needed besides the amplitude information to improve the ranging precision; which is challenging. In this paper, we analyze the parameters of CS based method, which affect the accuracy of the recovered phase information of the target in detail. Simulation by an ideal point target and actual measurements by using our developed SFCW radar are carried out to investigate the effects of these parameters.
基于压缩感知算法的步进频率连续波雷达测量的快速精确测距
步进频率连续波雷达(SFCW)的缺点是数据采集时间长,阻碍了其在实际应用中的广泛应用。本文介绍了一种基于压缩感知(CS)的数据测量方案,该方案只使用很小的总频率点样本来提高数据采集速度。通常在这些方案中使用幅度信息。然而,对于一些对目标的测距精度要求较高的应用,除了利用目标的幅值信息外,还需要利用目标轮廓的相位信息来提高测距精度;这是一个挑战。本文详细分析了基于CS的方法中影响目标相位信息恢复精度的参数。用理想点目标进行了仿真,并用研制的SFCW雷达进行了实际测量,研究了这些参数的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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