Phase-demodulation based Human Identification for Vital-SAR-Imaging in Pure FMCW Mode

Gepeng Zhang, Jiaming Yan, Hanqing Chen, Hong Hong, Heng Zhao, Chen Gu, Xiaohua Zhu, Changzhi Li
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引用次数: 2

Abstract

Identifying vital-related signals from human targets in a single synthetic aperture radar (SAR) image processing is important but challenging for localization and rescue applications. Recently, hybrid-mode SAR was reported for human identification and localization by alternating a radar in both the interferometry and frequency-modulated continuous-wave (FMCW) modes. However, it increased system complexity and required doubling the scanning efforts. In this paper, a novel phase-demodulation based vital-SAR-imaging method with a portable radar in pure FMCW mode is proposed. The solution can identify human targets from the SAR image by extracting high-resolution breathing signals on a moving platform. Experiments have been con-ducted to demonstrate the accuracy and robustness of the pro-posed method.
基于相位解调的纯FMCW模式生命sar图像人体识别
在单一合成孔径雷达(SAR)图像处理中识别人类目标的生命相关信号对于定位和救援应用是重要的,但也是具有挑战性的。最近,混合模式SAR被报道为通过干涉测量和调频连续波(FMCW)模式交替雷达进行人体识别和定位。然而,它增加了系统的复杂性,并且需要加倍的扫描工作。本文提出了一种基于相位解调的便携式雷达在纯FMCW模式下的重要sar成像方法。该方案通过在移动平台上提取高分辨率呼吸信号,从SAR图像中识别出人体目标。实验证明了该方法的准确性和鲁棒性。
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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