DocumentCode :
112394
Title :
A General Formula for the Mismatch Capacity
Author :
Somekh-Baruch, Anelia
Author_Institution :
Fac. of Eng., Bar-Ilan Univ., Ramat Gan, Israel
Volume :
61
Issue :
9
fYear :
2015
fDate :
Sept. 2015
Firstpage :
4554
Lastpage :
4568
Abstract :
The fundamental limits of channels with mismatched decoding are addressed. A general formula is established for the mismatch capacity of a general channel, defined as a sequence of conditional distributions with a general decoding metrics sequence. We deduce an identity between the Verdú-Han general channel capacity formula, and the mismatch capacity formula applied to maximum likelihood decoding metric. Furthermore, several upper bounds on the capacity are provided, and a simpler expression for a lower bound is derived for the case of a non-negative decoding metric. The general formula is specialized to the case of finite input and output alphabet channels with a type-dependent metric. The closely related problem of threshold mismatched decoding is also studied, and a general expression for the threshold mismatch capacity is obtained. As an example of threshold mismatch capacity, we state a general expression for the erasures-only capacity of the finite input and output alphabet channel. We observe that for every channel, there exists a (matched) threshold decoder, which is capacity achieving. In addition, necessary and sufficient conditions are stated for a channel to have a strong converse.
Keywords :
channel capacity; channel coding; decoding; maximum likelihood decoding; sequences; Verdu-Han general channel capacity formula; finite input alphabet channel; finite output alphabet channel; general channel mismatch decoding capacity; general decoding metrics sequence; maximum likelihood decoding metric; nonnegative decoding metric; type-dependent metric; Encoding; Manganese; Maximum likelihood decoding; Measurement; Random variables; Upper bound; Channel coding; mismatch capacity; mismatched decoding; threshold decoding;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2015.2449856
Filename :
7134788
Link To Document :
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