一种汽车超宽带近距离雷达检测新算法

P. Surendran, S. Ko, Sangdong Kim, Jong-hun Lee
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引用次数: 8

摘要

利用统计探测理论的方法可以解决大部分雷达目标探测问题。本文提出的最优检测算法的目标是对固定的虚警概率给出最大的检测概率。假设目标是静止的,目标反射的能量是分布的。提出的检测算法具有一个平方滑动窗口,以便结合来自目标的反射信号。由于目标反射的能量更加分散,因此该探测器优于传统的非相干探测器。检测是基于一个传输脉冲对背景的高斯白噪声(WGN)。对所提出的探测器的性能进行了分析,并进行了仿真验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Detection Algorithm for Ultra Wide Band Short Range Radar in Automotive Applications
Most significant part of radar target detection problems can be solved by using the method of statistical detection theory. Here the objective of the proposed optimal detection algorithm is to give a maximum detection probability for fixed false alarm probability. It is assumed that target is stationary and energy reflected from the target is distributed. The proposed detection algorithm has a squared sliding window in order to combine the reflected signals from the target. As the energy reflected from the target is more distributed, the proposed detector is superior to conventional non-coherent detector. The detection is based on one transmitted pulse against a background of white Gaussian noise (WGN). The performance of the proposed detector is analyzed and simulation has been done in order to verify.
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