Abstract
In this paper, serially concatenated continuous phase modulation (SCCPM) system is analyzed and a reduced state soft input soft output (SISO) a posteriori probability algorithm is proposed. Based on the reduced state sequence detection (RSSD), it has the more general form compared with other reduced state SISO algorithms. The proposed algorithm can greatly reduce the state number, thus leads to the computation complexity reduction. It also minimizes the degradation in Euclidean distance with decision feedback in the reduced state trellis. Analysis and simulation results show that the performance degradation is little with proper reduction scheme.
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Supported by the National Natural Science Foundation of China (Grant Nos. 60496316, 60532060 and 60572146), the Research Fund for the Doctoral Program of Higher Education (Grant No. 20050701007), China Teaching and Research Award Program for Outstanding Young Teachers in Higher Education Institutions of MOE, MOE Key Project (Grant No. 107103)
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Sun, J., Li, J. & Jin, L. A reduced state SISO iterative decoding algorithm for serially concatenated continuous phase modulation. SCI CHINA SER F 50, 539–550 (2007). https://doi.org/10.1007/s11432-007-0045-2
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DOI: https://doi.org/10.1007/s11432-007-0045-2