Weber-Haykin Based Automatic Censoring and Detection in Weibull Background

摘要：

In this paper, we study the problem of automatic target detection in Weibull clutter and multiple target situations, without any prior knowledge of neither the non-stationary clutter statistics in which the radar operates nor the number of outliers that may be present in the reference window. In doing this, we develop the Forward/Backward Order Statistic Automatic Censoring and Detection Constant False Censoring and Alarm Rates Detectors based upon the Weber-Haykin adaptive threshold (WH-based F/B-OSACD-CFCAR). These detectors select repeatedly a suitable set of ranked cells among reference cells surrounding the cell under test to estimate the unknown background level and set the adaptive threshold, accordingly. The censoring and detection performances are evaluated by means of Monte Carlo simulations.

关键词： forward backward censoring detection Weber-Haykin threshold

作者: Souad CHABBI Toufik LAROUSSI Mourad BARKAT

作者单位: Département d’Electronique,Université Constantine Laboratoire SISCOM Constantine, Algeria Department of Computer Engineering,King Saud University Riyadh, KSA

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1919-1922

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）