Bit Error Probability For Coherent M-ary Psk Systems
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Request full-text Bit Error Probability for Coherent Mary PSK SystemsArticle in IEEE Transactions on Communications 39(3):349 - 352 · April 1991 with 274 ReadsDOI: 10.1109/26.79269 · Source: https://www.researchgate.net/publication/3157737_Bit_Error_Probability_for_Coherent_Mary_PSK_Systems IEEE Xplore1st Mansour Abbadi23.04 · Jordan University of Science and Technology2nd I.S. SalousAbstractA simple technique for evaluating the bit-error probability of coherent M-ary phase-shift keying (PSK) with any bit-mapping is proposed. Closed-form expressions are given in terms of error functions for half- and quadrant-plane probabilities in the decision space, avoiding the numerical evaluation of bit error complicated integrals that occurs in the direct method. Bit error probability expressions for M-ary PSK with Gray, natural binary, and folded binary bit-mappings are derivedDo you want to read the rest of this article?Request full-text CitationsCitations52ReferencesReferences4Classification of Unique Mappings for 8PSK Based on Bit-Wise Distance Spectra"Approximations for the uncoded BER of any MPSK constellation with bit error probability can be made by disregarding all but the first term in the summation in (42) and replacing with (40). This gives the following useful approximations for high SNR, [36] (46)Fig. 7. BER performance for N-8PSK with no and full prior information. "[Show abstract] [Hide abstract] ABSTRACT: The performance of bit-interleaved coded modulation (BICM) with (or without) iterative decoding (ID) is significantly influenced by the mapping of bits to the symbol constellation. Our main objective in this paper is to develop a systematic design approach for BICM-ID schemes, ensuring the best possible performance with iterative decoding. Although useful mappings for BICM-ID have been found based on various search strategies, no attempt has been made to systematically enumerate and classify all unique mappers for a given constellation. As the basis for a systematic enumeration and classification, we define the average bit-wise distance spectrum for a mapping from bits to symbols. Different bit-wise distance spectra are derived assuming no prior information or full prior information, respe
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