%0 Journal Article
%T Study of the Performance Sensitivity to SNR Mismatch in BICM-ID System<br>SNR估计误差对BICM-ID系统性能影响的研究
%A Zou Xue-lan
%A Feng Guang-zeng
%A <br>邹雪兰
%A 酆广增
%J 电子与信息学报
%D 2008
%I 
%X The iterative decoding schemes such as BICM-ID and other concatenated coding systems require the knowledge of channel Signal-to-Noise Ratio (SNR). The effect of SNR estimation errors is studied for BICM-ID in the paper and the performance sensitivity of SNR mismatch for the log-APP decoding algorithm and its simplified implementations is analyzed. Analysis and simulation results show that the max-log-APP algorithm is robust against any SNR mismatch problem, while the log-APP algorithm and other simplified implementations are more tolerant of overestimation of SNR than underestimation, which is because they use different correction functions. The required SNR accuracy to prevent large performance degradation is increased with the increase of channel SNR, generally from -2dB to +6dB. Therefore, when there is no perfect channel state information, the max-log-APP algorithm is the optimum decoding algorithm for BICM-ID.
%K Iterative decoding
%K SNR estimation error
%K Soft-input soft-output algorithm
%K BICM-ID<br>迭代检测
%K SNR估计误差
%K 软输入软输出算法
%K BICM-ID
%K 估计误差
%K 系统
%K 性能影响
%K 研究
%K System
%K Sensitivity
%K Performance
%K 最佳
%K 信息条件
%K 信道状态
%K 改善
%K 信道条件
%K 范围
%K 误差精度
%K 损失
%K 算法性能
%K 修正函数
%K 简化算法
%K 鲁棒性
%K 信噪比估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=D37053BDFA3DC305A39BBCE6CC1507B1&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=94C357A881DFC066&sid=D291DCA663E1D24D&eid=B8D8B337883846D1&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=14