Polar codes represent one of the major breakthroughs in 5G standard,and have been proven to be able to achieve the symmetric capacity of binary-input discrete memoryless channels using the successive cancellation list...Polar codes represent one of the major breakthroughs in 5G standard,and have been proven to be able to achieve the symmetric capacity of binary-input discrete memoryless channels using the successive cancellation list(SCL)decoding algorithm.However,the SCL algorithm suffers from a large amount of memory overhead.This paper proposes an adaptive simplified decoding algorithm for multiple cyclic redundancy check(CRC)polar codes.Simulation results show that the proposed method can reduce the decoding complexity and memory space.It can also acquire the performance gain in the low signal to noise ratio region.展开更多
Adaptive inverse control system can improve the performance of turbo decoding,and modeling turbo decoder is one of the most important technologies. A neural network model for the inverse model of turbo decoding is pro...Adaptive inverse control system can improve the performance of turbo decoding,and modeling turbo decoder is one of the most important technologies. A neural network model for the inverse model of turbo decoding is proposed in this paper. Compared with linear filter with its revi-sion,the general relationship between the input and output of the inverse model of turbo decoding system can be established exactly by Nonlinear Auto-Regressive eXogeneous input (NARX) filter. Combined with linear inverse system,it has simpler structure and costs less computation,thus can satisfy the demand of real-time turbo decoding. Simulation results show that neural network in-verse control system can improve the performance of turbo decoding further than other linear con-trol system.展开更多
为降低TPC译码算法复杂度,提出一种新的低复杂度自适应译码算法。新算法适用于子码为扩展汉明码的TPC码,以不估计SNR的自适应译码算法为基本框架结构,利用码字可靠性特征,引入1个可用于外信息计算的简单公式,在自适应减小不可靠比特数...为降低TPC译码算法复杂度,提出一种新的低复杂度自适应译码算法。新算法适用于子码为扩展汉明码的TPC码,以不估计SNR的自适应译码算法为基本框架结构,利用码字可靠性特征,引入1个可用于外信息计算的简单公式,在自适应减小不可靠比特数的同时,降低外信息的计算量。研究结果表明:对于扩展汉明码(64,57,4)为子码的TPC码,新算法相比于原自适应译码算法在误码率为10-5时Eb/N0仅降低了0.05 d B,复杂度却降低约1/3,可见新算法在性能和复杂度方面实现了很好的平衡和折中。展开更多
基金supported by the National Key R&D Program of China(2018YFB2101300)the National Science Foundation of China(61973056)
文摘Polar codes represent one of the major breakthroughs in 5G standard,and have been proven to be able to achieve the symmetric capacity of binary-input discrete memoryless channels using the successive cancellation list(SCL)decoding algorithm.However,the SCL algorithm suffers from a large amount of memory overhead.This paper proposes an adaptive simplified decoding algorithm for multiple cyclic redundancy check(CRC)polar codes.Simulation results show that the proposed method can reduce the decoding complexity and memory space.It can also acquire the performance gain in the low signal to noise ratio region.
文摘Adaptive inverse control system can improve the performance of turbo decoding,and modeling turbo decoder is one of the most important technologies. A neural network model for the inverse model of turbo decoding is proposed in this paper. Compared with linear filter with its revi-sion,the general relationship between the input and output of the inverse model of turbo decoding system can be established exactly by Nonlinear Auto-Regressive eXogeneous input (NARX) filter. Combined with linear inverse system,it has simpler structure and costs less computation,thus can satisfy the demand of real-time turbo decoding. Simulation results show that neural network in-verse control system can improve the performance of turbo decoding further than other linear con-trol system.
文摘为降低TPC译码算法复杂度,提出一种新的低复杂度自适应译码算法。新算法适用于子码为扩展汉明码的TPC码,以不估计SNR的自适应译码算法为基本框架结构,利用码字可靠性特征,引入1个可用于外信息计算的简单公式,在自适应减小不可靠比特数的同时,降低外信息的计算量。研究结果表明:对于扩展汉明码(64,57,4)为子码的TPC码,新算法相比于原自适应译码算法在误码率为10-5时Eb/N0仅降低了0.05 d B,复杂度却降低约1/3,可见新算法在性能和复杂度方面实现了很好的平衡和折中。