HRRP recognition in radar sensor network

被引：7
作者：
Mao, Chengchen [1 ]
Liang, Jing [1 ]
机构：
[1] Univ Elect Sci & Technol China, Elect Engn, Chengdu 611731, Peoples R China
来源：
AD HOC NETWORKS | 2017年 / 58卷
基金：
中国国家自然科学基金;
关键词：
Radar sensor network; Target recognition; High-resolution range profile; The minimum resistor-average distance; The minimum Kullback-Leibler distance; KULLBACK-LEIBLER DISTANCE; RANGE-PROFILES;
D O I：
10.1016/j.adhoc.2016.09.001
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, several high-resolution range profile (HRRP) recognition approaches in radar sensor network (RSN) are investigated. First, we study HRRP target recognition in a radar. A decision rule based on the minimum resistor-average (MRA) distance criterion is established for HRRP sequence recognition. Simulation results show that comparing with the maximum correlation coefficient-template matching method (MCC-TMM) and the minimum Kullback-Leibler (MKL) distance criterion, the proposed MRA distance criterion can provide higher recognition ratio for different flight targets. Then we extend the usage the MKL distance criterion and MRA distance criterion to HRRP target recognition in RSNs. Simulation results exhibit that the proposed MRA distance criterion is also superior to MCC-TMM and MKL, and HRRP recognition performance can be improved by RSNs. (C) 2016 Elsevier B.V. All rights reserved.
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页码：171 / 178
页数：8
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