韦布尔背景下ODV检测器的筛选性能分析  

Analysis of the Filtering Performance of ODV Detector for Weibull Environments

作　　者：赵传辉 孟祥伟 曲付勇 

机构地区：[1]海军航空工程学院研究生管理大队 [2]海军航空工程学院电子信息工程系

出　　处：《海军航空工程学院学报》2010年第2期199-202,共4页Journal of Naval Aeronautical and Astronautical University

基　　金：十一五预研基金项目(51307060504)

摘　　要：研究了在韦布尔背景下一种基于ODV的恒虚警检测器。通过连续地使用基于ODV的统计量和相应的假设检验，这种检测器对有序样本进行删除来估计背景的噪声功率水平。在均匀背景及加入干扰两种情况下，通过仿真验证ODV方法的筛选性能。结果表明，ODV方法在韦布尔背景下的筛选性能是理想的，而且此方法不需要知道任何关于背景的先验信息，且具有自适应筛选的优点。A CFAR detector based on ODV was studied under weibull background. The detector selected dynamically a suitable set of ranked cells to estimate the unknown background level by processing tbe successive ODV-based statistics and the corresponding hypothesis tests simultaneously. The censoring performance of ODV was tested by simulation in uniform background and when the interferences were joined in the environment. The results showed that the censoring performance of ODV was good, which had the merit of adaptive censoring, and did not require any prior information about the background.

关 键 词：韦布尔 自动删除 有序数据可变 可变索引 

分 类 号：TN957.53[电子电信—信号与信息处理]