%0 Journal Article
%T The optimization of distributed OS-CFAR detection using genetic simulated annealing algorithms<br>利用遗传模拟退火算法解决分布式OS-CFAR检测的优化问题
%A Wang Mingyu
%A Yu Bianzhang
%A <br>王明宇
%A 俞卞章
%J 电子与信息学报
%D 2002
%I 
%X The distributed multisensor detection system with Order Statistic Constant False Alarm Rate (OS-CFAR) is optimized in terms of fusion rule and (k, T) parameters using Genetic Simulated Annealing Algorithms (GSAAs). A set of quasi-optimum results of a tri-sensor system under identically and unidentically detect conditions are given and analyzed, which proves that GSAAs are efficient for this optimization.
%K Genetic simulated annealing algorithms
%K Distributed CFAR detection
%K Data fusion<br>优化问题
%K 遗传模拟退火算法
%K 分布式恒虚警检测
%K 数据融合
%K 传感器
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=0C1E5FCCB2B6D78B&yid=C3ACC247184A22C1&vid=B91E8C6D6FE990DB&iid=94C357A881DFC066&sid=44E78A5D1B37D836&eid=2C20277AC27E4821&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=4