刘峥1,,,
罗丁利2,
李俭朴1
1.西安电子科技大学雷达信号处理国家重点实验室 西安 710071
2.西安电子工程研究所 西安 710100
详细信息
作者简介:郭鹏程：男，1983年生，高级工程师，博士生，研究方向为雷达目标检测与识别
刘峥：男，1964年生，教授，研究方向为雷达信号处理的理论与系统设计、雷达精确制导技术、多传感器融合等
罗丁利：男，1974年生，研究员，研究方向为雷达信号处理、目标分类识别技术
李俭朴：男，1994年生，硕士生，研究方向为雷达目标检测
通讯作者:刘峥 lz@xidian.edu.cn
中图分类号:TN957.51计量
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被引次数:0
出版历程
收稿日期:2019-06-06
修回日期:2019-09-07
网络出版日期:2019-09-19
刊出日期:2020-06-04
Range Spread Target Detection Based on OnlineEstimation of Strong Scattering Points
Pengcheng GUO1, 2,Zheng LIU1,,,
Dingli LUO2,
Jianpu LI1
1. National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
2. Xi'an Electronic Engineering Research Institute, Xi’an 710100, China
摘要
摘要:传统的距离扩展目标检测一般在散射点密度或散射点数量先验条件下完成，在目标散射点信息完全未知时检测性能会大幅降低。针对这个问题，该文提出一种基于强散射点在线估计的距离扩展目标检测方法(OESS-RSTD)，该方法利用机器学习中的无监督聚类算法在线估计强散射点数量以及首次检测门限，然后再结合虚警率，确定2次检测门限，最后通过两次门限检测完成目标有无的判决。该文分别利用仿真数据和实测数据进行了试验验证，并和其他算法进行了试验对比，通过虚警概率一定时的信噪比(SNR)-检测概率曲线验证了该文所提方法相对于传统算法有更高的稳健性，且该方法不需要目标散射点的任何先验信息。
关键词:高分辨雷达/
扩展目标检测/
聚类/
强散射点估计
Abstract:The traditional range-extended target detection is usually completed under the condition of scattering point density or scattering point number priori. The detection performance is greatly reduced when the scattering point information of the target is completely unknown. To solve this problem, a Range Spread Target Detection method based on Online Estimation of Strong Scattering(OESS-RSTD) points is proposed. Firstly, the unsupervised clustering algorithm in machine learning is used to estimate the number of strong scattering points and the first detection threshold adaptively. Then, the second detection threshold is determined according to false alarm rate. Finally, the existence of the target is determined through two detection thresholds. The simulation data and the measured data are used to verify and compare with other algorithms. By comparing the Signal-to-Noise Ratio (SNR) -detection probability curves of various methods with a given false alarm probability, it is verified that the proposed method has higher robustness than the traditional algorithm, and the method does not need any priori information of target scattering points.
Key words:High resolution radar/
Extended target detection/
Clustering/
Strong scattering point estimation
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