An improvement of soft decision decoding algorithm using linear block codes is presented. The proposed algorithm is for hard-detected signals of digital communication systems. Based on the error correction, the proposed scheme converts the received hard-decision into soft reliability for the input of the decoder. Simulation results are shown and superior performance is obtained by using the proposed scheme.
A selection method of possible code words in channel coding systems is presented. The proposed method is for channel coding of digital communication systems. Measuring the error correction capability with reunion junction, the proposed method has superior performance and low implementation complexity.
An error control method is investigated and obtained by combination of the modulation and linear block code in sensor networks. The constructed coding scheme is multistage decoded using a new low-complexity soft-decision decoding method in sensor networks. Computer simulations of the proposed method are presented and compared with the reunion junction technique. The proposed method shows a better performance than the reunion junction technique. The low complexity of the method allows the use of long linear block codes. It is possible to construct an efficient bandwidth multilevel code on signal set partitioning. A wide range of design tradeoffs are possible with multilevel codes. Composite codes are possible using component codes.
For channel codes in communication systems, an efficient algorithm that controls error is proposed. It is an algorithm for soft decision decoding of block codes. The sufficient conditions to obtain the optimum decoding are deduced so that the efficient method which explores candidate code words can be presented. The information vector of signal space codes has isomorphic coherence. The path metric in the coded demodulator is the selected components of scaled regions. The carrier decision is derived by the normalized metric of synchronized space. An efficient algorithm is proposed based on the method. The algorithm finds out a group of candidate code words, in which the most likely one is chosen as a decoding result. The algorithm reduces the complexity, which is the number of candidate code words. It also increases the probability that the correct code word is included in the candidate code words. It is shown that both the error probability and the complexity are reduced. The positions of the first hard-decision decoded errors and the positions of the unreliable bits are carefully examined. From this examination, the candidate codewords are efficiently searched for. The aim of this paper is to reduce the required number of hard-decision decoding and to lower the block error probability.
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