基于被动gnss的SAR系统雷达感知覆盖分析

Yu Zheng, Yang Yang, Wu Chen
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引用次数: 4

摘要

基于GNSS的SAR系统是一种被动雷达成像系统。利用反射的GNSS信号,已经证明可以在GNSS- sar图像中识别各种目标。然而,与常规SAR系统相比,反射的GNSS信号强度明显较低。GNSS-SAR系统能探测到多远的目标是一个问题。在本文中,我们推导了GNSS-SAR系统在给定虚警和检测概率的情况下,利用目标-背景散射对比度进行目标识别的理论距离覆盖。使用L1频段的GPS软件接收机,我们可以在陆地和海洋背景下检测到2 km以上的目标,因为实验的视场(FOV)约为2 km。理论上,使用这种低成本的GNSS软件接收机,工作距离可以达到5-8公里。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of radar sensing coverage of a passive GNSS-based SAR system
GNSS based SAR system is a passive radar imaging system. Using the reflected GNSS signals, it has been demonstrated that various objects can be identified in GNSS-SAR images. However, compared with conventional SAR systems, the strength of the reflected GNSS signals is significantly lower. How far the objects can be detected by a GNSS-SAR system is a question. In this paper, we derived a theoretical range coverage for GNSS-SAR system for object recognition using object-background scattering contrast, with given false alarm and detection probabilities. Using a GPS software receiver at L1 frequency band, we can detect objects more than 2 km in the land and sea backgrounds, as the field of vision (FOV) for the experiments is approximately 2 km. Theoretically, with such a low cost GNSS software receiver, the operational range can reach 5–8 km.
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