%0 Journal Article
%T Iterative SNR Estimation Algorithm for M-APSK Signal Based on A Priori Information<br>基于先验信息的M-APSK信号迭代信噪比估计
%A Nie Yuan-fei
%A Ge Jian-hua
%A Wang Yong
%A <br>聂远飞
%A 葛建华
%A 王勇
%J 电子与信息学报
%D 2008
%I 
%X This paper proposes an iterative Signal-to-Noise Ratio (SNR) estimation algorithm suited to Multiple Amplitude Phase Shift Keying (M-APSK) signal based on a priori information. Given a priori, the M-PASK signal has the determinate probability distribution with flat-fading, and its logarithmic expection is differentiated to yield the relation between the SNR parameters and the data. Reliability metric is introduced to updata the parameters, then the iterative algorithm is put forward correspondingly. Compared with the foregone Memont Methods (MM), simulation results show that the new algorithm using a prior has better performance when the intrinsic information is larger than 0.4 with 4 iterations, while that without a prior only better in middle and hign SNR with 5 iterations used.
%K Signal-to-Noise Ratio (SNR) estimation
%K Expectation Maximum (EM)
%K Maximum Likelihood (ML)
%K Intrinsic information<br>信噪比估计
%K 最大期望
%K 最大似然
%K 互信息
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=2DE72BEA70B7FB623DB50FF1019CF1A9&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=9CF7A0430CBB2DFD&sid=7032F4C1AAED728E&eid=48224D16AE565E7F&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=11