%0 Journal Article
%T COVARIANCE PERFORMANCE ANALYSIS OF FINITE-SAMPLE CUMULANTS<br>有限快拍四阶累量无偏估计性能分析
%A Li Jianxun
%A Bao Zheng
%A <br>李建勋
%A 保铮
%J 电子与信息学报
%D 2000
%I 
%X In recent years, estimation in cumulant domains was studied mainly in the aspect of asymptotic performance, including asymptotic unbiased estimation and asymptotic covariance. Unbiased estimation performance for finite snapshots is discussed in this paper. Simulation results demonstrate that performance of DOA unbiased estimation is better than that of biased for low SNR.
%K Cumulant domains
%K Biased estimation
%K Unbiased estimation<br>累量域
%K 有偏估计
%K 无偏估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=9C342A6B2165945D&yid=9806D0D4EAA9BED3&vid=BC12EA701C895178&iid=E158A972A605785F&sid=811ACA5D3673A764&eid=D8414BC1307BF1A3&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=5