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Repeated convolutional codes for high-error-rate channels

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4 Author(s)
Qiang Wang ; Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada ; Li, G. ; Bhargava, V.K. ; Mason, L.J.

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 as may occur in a jamming environment. The coding scheme consists of an outer convolutional code and an inner repetition code of length m that 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 passed to a soft-decision decoder for the convolutional code. The effect of finite quantization and methods to generate binary metrics for M>2 are investigated. Monte Carlo simulation results are presented. For the binary symmetric channel (BSC), it is shown that the overall code rate is larger than 0.6R0, where R0 is the cutoff rate of the channel. New union bounds on the bit error probability for systems with a binary convolutional code on 4-ary and 8-ary orthogonal channels are presented. For a BSC and a large m, a method is presented for BER approximation based on the central limit theorem

Published in:

Communications, IEEE Transactions on  (Volume:41 ,  Issue: 6 )

Date of Publication:

Jun 1993

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