一种基于微波雷达的自适应门限检测方法  

An adaptive threshold detection method based on microwave radar

作　　者：熊显名[1] 范邓楠 Xiong Xianming;Fan Dengnan(Key Laboratory of Photoelectric Information Processing,Guilin University of Electronic Science and Technology,Guilin Guangxi,541004)

机构地区：[1]桂林电子科技大学光电信息处理重点实验室

出　　处：《电子测试》2019年第24期28-31,82,共5页Electronic Test

摘　　要：在复杂噪声背景下,微波雷达系统采用传统的自适应门限不能有效检测目标。本文基于平均单元恒虚警概率检测提出了极值剔除平均单元恒虚警概率检测算法。根据干扰的对恒虚警概率要求的最低信噪比设定门限,将信噪比超过门限的单元剔除,再通过平均单元恒虚警检测算法对目标进行检测。对改进后的算法进行仿真试验,结果证明本算法能在相对复杂噪声下检测目标,且能防止临近目标的干扰,相比于其他算法有一定的优势。In the background of complex noise,the microwave radar system can’t detect the target effectively by using the traditional adaptive threshold.In this paper,a constant false alarm probability detection algorithm based on mean cell constant false alarm probability detection is proposed.According to the minimum signal-to-noise ratio required by the interference for the constant false alarm probability,the threshold is set,the cell whose signal-to-noise ratio exceeds the threshold is removed,and then the target is detected by the average unit constant false alarm detection algorithm.The simulation test of the improved algorithm proves that the algorithm can detect the target under the relatively complex noise,and can prevent the interference of the nearby target,and has certain advantages compared with other algorithms.

关 键 词：对称三角波 恒虚警概率 极值剔除 平均单元 

分 类 号：TN9[电子电信—信息与通信工程]