TPC译码及其改进算法

TPC Decoding and Its Improved Algorithm

介绍了TPC(Turbo Product Code)译码的基本原理,及其基于软输入软输出(SISO)的Chase2算法的传统译码步骤。结合软译码的基础理论,通过分析码字在AWGN信道中的传输特点得到码字判决的自适应门限,并提出了一种基于可靠性度量的自适应错误图样参数的改进算法。仿真结果表明,与传统的TPC译码算法相比较,改进算法降低了误码率,减少了运算复杂度。

This paper introduces the decoding principles of Turbo Product Code（TPC） and the decoding process based on Soft Input Soft Output（SISO） Chase2 algorithm.Following the foundational theory of soft decoding,the code transmission in AWGN channels is analyzed and an adaptive decoding threshold is derived.An improved TPC decoding algorithm based on reliability mensurements is proposed.The simulation shows that,compared with traditional decoding algorithms,this improved algorithm decreases bit error rates（BERs） and reduces computation complexity.