非均匀噪声下基于双剔除门限的恒虚警[2mm]目标检测算法

doi:10.3969/j.issn.1000-5641.2018.01.013

华东师范大学学报(自然科学版) ›› 2018, Vol. 2018 ›› Issue (1): 135-145.doi: 10.3969/j.issn.1000-5641.2018.01.013

非均匀噪声下基于双剔除门限的恒虚警[2mm]目标检测算法

刘贵如¹, 王陆林², 邹姗¹

1. 安徽工程大学计算机与信息学院, 安徽芜湖 241000;
2. 奇瑞汽车股份有限公司前瞻技术研究院, 安徽芜湖 241006

收稿日期:2016-09-14 出版日期:2018-01-25 发布日期:2018-01-11
作者简介:刘贵如,女,硕士,副教授,研究方向为信号处理、车辆主动安全和多传感器融合.E-mail:liuguiru_yunnan@163.com.
基金资助:
国家自然科学基金（91120307）；安徽省自然科学基金（TSKJ2015B12）；安徽工程大学计算机应用技术重点实验室开放基金（JSJKF201514）

CFAR target detection algorithm based on dual-censoring threshold in non-homogeneous environments

LIU Gui-ru¹, WANG Lu-lin², ZOU Shan¹

1. College of Computer and Information Science, Anhui Polytechnic University, Wuhu Anhui 241000, China;
2. Prospective Technology Research Institute, Chery Automobile Co., Ltd, Wuhu Anhui 241006, China

Received:2016-09-14 Online:2018-01-25 Published:2018-01-11

摘要/Abstract

摘要： 为了解决雷达检测算法在非均匀噪声环境下目标检测性能严重下降的问题，在分析实际回波杂波分布特性的基础上，提出了一种基于双剔除门限的恒虚警目标检测算法，通过双剔除门限将极大极小干扰信号从参考窗口中剔除，实时精确估计背景噪声功率.经过与各检测算法仿真对比，该算法在多目标干扰、遮挡和杂波边缘干扰等非均匀背景噪声环境下仍具有最优的检测性能和鲁棒性.结果表明，所提出的目标检测算法在非均匀噪声环境下具有良好的检测性能.

关键词: 目标检测, 恒虚警, 双门限检测, 非均匀噪声

Abstract: In order to solve the problem that the detection performance of the radar target detector decreases badly in non-homogeneous environments. Based on the actual echo clutter distribution, a dual-censoring threshold constant false alarm rate (DCT-CFAR) detector is proposed. Dual censoring threshold is used to remove the large and small unwanted samples and real-time accurate estimate the background noise power level. Compared with the simulation and analysis results of other detectors, the proposed detector has the best detection performance and stability in multi-interfering targets, masking effect, clutter edge and other non-homogenous environments. The results show that the proposed detector still has a good detection performance in non-homogeneous environments.

Key words: target detection, constant false alarm rate (CFAR), dual threshold detection, non-homogenous noise

中图分类号:

TN957.51

刘贵如, 王陆林, 邹姗. 非均匀噪声下基于双剔除门限的恒虚警[2mm]目标检测算法[J]. 华东师范大学学报(自然科学版), 2018, 2018(1): 135-145.

LIU Gui-ru, WANG Lu-lin, ZOU Shan. CFAR target detection algorithm based on dual-censoring threshold in non-homogeneous environments[J]. Journal of East China Normal University(Natural Sc, 2018, 2018(1): 135-145.

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非均匀噪声下基于双剔除门限的恒虚警[2mm]目标检测算法

CFAR target detection algorithm based on dual-censoring threshold in non-homogeneous environments

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