%0 Journal Article
%T MAP Based Detection Algorithm for V-BLAST System<br>垂直分层空时码的MAP检测器及其神经网络实现
%A Chen Qi-ming
%A Yin Jun-xun
%A <br>陈其铭
%A 尹俊勋
%J 电子与信息学报
%D 2004
%I 
%X This paper proposes the optimum detection algorithm for a multiple antenna system based on the Maximum A Posteriori (MAP) criterion. It makes symbol-by-symbol decisions so that the probability of a symbol error is minimized. It also shows that the radial basis function neural network has an identical structure to the proposed MAP algorithm and, therefore, can be employed in a multiple antennas system.
%K Multiple Input Multiple Output(MIMO)
%K Space time code
%K Maximum A Pos-terior(MAP)
%K Neural network<br>多入多出
%K 空时码
%K 最大后验概率
%K 神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=07A8A3F9501FF55E&yid=D0E58B75BFD8E51C&vid=96C778EE049EE47D&iid=9CF7A0430CBB2DFD&sid=1E0D46E7B42E2E81&eid=794F46304592E8E6&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=13