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作者机构:Technion Israel Inst Technol IL-32000 Haifa Israel Tel Aviv Univ IL-69978 Tel Aviv Israel
出 版 物:《IEEE TRANSACTIONS ON INFORMATION THEORY》 (IEEE信息论汇刊)
年 卷 期:2017年第63卷第10期
页 面:6364-6392页
核心收录:
学科分类:0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:Israel Science Foundation [412/12] Jacobs scholarship
主 题:Detection complexity error exponents expurgated bounds false alarm joint detection/decoding misdetection mismatch detection random coding universal detection
摘 要:The problem of block-coded communication where in each block the channel law belongs to one of two disjoint sets is considered. The decoder is aimed to decode only messages that have undergone a channel from one of the sets, and thus has to detect the set which contains the underlying channel. The simplified case where each of the sets is a singleton is studied first. The decoding error, false alarm, and misdetection probabilities of a given code are defined, and the optimum detection/decoding rule in a generalized Neyman-Pearson sense is derived. Sub-optimal detection/decoding rules are also introduced which are simpler to implement. Then, various achievable bounds on the error exponents are derived, including the exact single-letter characterization of the random coding exponents for the optimal detector/decoder. The random coding analysis is then extended to general sets of channels, and an asymptotically optimal detector/decoder under a worst case formulation of the error probabilities is derived, as well as its random coding exponents. The case of a pair of binary symmetric channels is discussed in detail.