Repeated convolutional codes for high error rate channel

TitleRepeated convolutional codes for high error rate channel
Publication TypeConference Paper
Year of Publication1990
AuthorsLi, G., Q. Wang, V. K. Bhargava, and L. J. Mason
Conference NameMilitary Communications Conference, 1990. MILCOM '90, Conference Record, A New Era. 1990 IEEE
Pagination135 -140 vol.1
Date Publishedsep.
KeywordsBER approximation method, binary convolutional code, binary symmetric channel, bit error rate, central limit theorem, channel capacity, code length, coding, decoding, decoding metrics, encoding, error correction code, error correction codes, high error rate channel, jamming environment, M-ary symmetric channel, quantization, repeated convolutional codes, soft-decision decoder, soft-decision metric, telecommunication channels

An error correction scheme for an M-ary symmetric channel (MSC) characterized by a large error probability (pe) is considered. The value of pe can be near, but smaller than, 1-1/M for which the channel capacity is zero. Such a large pe may occur, for example, in a jamming environment. The coding scheme considered consists of an outer convolutional code and an inner repetition code of length m which is used for each convolutional code symbol. At the receiving end, the m inner code symbols are used to form a soft-decision metric which is subsequently passed to a soft-decision decoder for the convolutional code. Emphasis is placed on using a binary convolutional code. Effect of finite quantization and methods to generate binary metric for M gt;2 are investigated. For the binary symmetric channel a bit error rate (BER) approximation method is proposed for large m based on the central limit theorem. The influence of various decoding metrics is investigated


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