TY - GEN
T1 - Uniform quantization of LDPC codes for 8PSK modulation
AU - Chen, Zhengkang
AU - Zhang, Huisheng
AU - Li, Lixin
AU - Zhu, Meng
PY - 2013
Y1 - 2013
N2 - It's common to use high-precision floating-point operations on theoretical study of the Low Density Parity Check (LDPC) codes, but it is difficult to implement it in practical application. Therefore, there is a great need to design effective quantitative method which enables us to implement it in hardware easily. In this paper, the min-sum decoding algorithm of LDPC codes for 8PSK modulation is studied in detail, and the method of the uniform quantization is analyzed and deduced. With this method to quantify the initial message, the variable messages and check messages are converted into integers after each iteration. Then the min-sum decoding algorithm based on integer arithmetic for 8PSK modulation is implemented. Simulation results demonstrate that the performance of the min-sum decoding algorithm with the uniform quantization is close to that of the high-precision floating-point sum-product decoding algorithm. Meanwhile, all the variables in the algorithm are fixed-length integers, so it is convenient for hardware implementation.
AB - It's common to use high-precision floating-point operations on theoretical study of the Low Density Parity Check (LDPC) codes, but it is difficult to implement it in practical application. Therefore, there is a great need to design effective quantitative method which enables us to implement it in hardware easily. In this paper, the min-sum decoding algorithm of LDPC codes for 8PSK modulation is studied in detail, and the method of the uniform quantization is analyzed and deduced. With this method to quantify the initial message, the variable messages and check messages are converted into integers after each iteration. Then the min-sum decoding algorithm based on integer arithmetic for 8PSK modulation is implemented. Simulation results demonstrate that the performance of the min-sum decoding algorithm with the uniform quantization is close to that of the high-precision floating-point sum-product decoding algorithm. Meanwhile, all the variables in the algorithm are fixed-length integers, so it is convenient for hardware implementation.
KW - 8 phase-shift keying modulation
KW - Low Density Parity Check Codes (LDPC)
KW - Min-sum decoding algorithm
KW - Uniform quantization
UR - http://www.scopus.com/inward/record.url?scp=84892489983&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC.2013.6663960
DO - 10.1109/ICSPCC.2013.6663960
M3 - 会议稿件
AN - SCOPUS:84892489983
SN - 9781479910274
T3 - 2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
BT - 2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
T2 - 2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
Y2 - 5 August 2013 through 8 August 2013
ER -