Fast and High-Resolution PCL Radar Detection in Noisy Environment

S. Bayat, M. Emadi, M. Mousavi, A. Jafargholi, M. Nayebi
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引用次数: 2

Abstract

Multiple target detection in conventional PCL (Passive Coherent Location) radar systems by means of Ambiguity Function Processing and without any powerful algorithm is impossible. Presented Gradual Clean Algorithm (GCA) is a new and simple method, which could provide the perfect detection in noisy environment and heavy clutter condition up to SNR=-15 dB and SCR=-100 dB (clutter is assumed as a distributed target with large RCS). Determining the number of real targets and keeping the false alarm probability approximately constant are the presented algorithm capabilities.
噪声环境下快速高分辨率PCL雷达检测
在传统的无源相干定位雷达系统中,如果没有强大的模糊函数处理算法,是无法实现多目标检测的。本文提出的渐进式清洁算法(GCA)是一种新的、简单的方法,可以在信噪比为-15 dB、信噪比为-100 dB(假设杂波是具有较大RCS的分布式目标)的噪声环境和重杂波条件下提供较好的检测效果。该算法具有确定真实目标数量和保持虚警概率近似恒定的能力。
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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