摘要
针对高斯噪声中的距离扩展目标检测问题,提出了基于正态分布检验的检测算法.高分辨一维距离像信号通常不服从高斯分布,可将高斯噪声中的距离扩展目标检测问题转换为正态分布检验问题,使用正态分布检验算法对检测窗内的信号进行检验,进而做出检测判决.理论分析表明,该算法具有恒虚警性能.分析了信噪比与检测概率的关系和检测器的性能.使用模拟信号与实测飞机目标一维距离像信号对本检测器的检测性能进行了试验验证,并与能量积累检测器进行对比.结果表明本检测器比能量积累检测器有较优的检测能力.
A range spread target detection algorithm based on the normal distribution test is proposed. Based on the fact that the range spread target signal generally does not follow normal distribution, the range spread target detection problem is equivalent to the normal distribution test problem. Analysis show that the normal distribution test detector has the characteristic of constant false alarm rate. The performance of the proposed detector is analyzed. Numerical experimental results based on simulation and measured high range resolution profile data show that the proposed detector outperform the energy integration detector.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2013年第2期31-35,53,共6页
Journal of Xidian University
基金
国家自然科学基金资助项目(60901067
61001212)
新世纪优秀人才支持计划资助项目(NCET-09-0630)
长江学者和创新团队发展计划资助项目(IRT0954)
关键词
目标检测
距离扩展目标
正态分布
虚警
target detection
range spread targets
normal distribution
false alarm
