摘要
信道编码参数分析是对编码参数的逆向分析和估计,是智能通信、信号截获等领域的关键技术之一。Turbo码在通信系统中应用广泛,其交织参数估计问题十分重要。针对Turbo码的随机交织器,提出一种基于Turbo译码器软输出之间相关性判决的迭代估计算法。该算法利用接收解调的软判决序列,克服了现有方法仅针对特定交织结构以及因使用硬判决而导致容错能力低的缺点。仿真结果表明,在低信噪比条件下,该算法具有更好的性能和相对低的复杂度。
Channel coding parameter analysis meant reversely analyzing and estimating the coding parameters, and was one of the key techniques for intelligent communication, information interception and so on. Since Turbo codes were widely used in communication systems, parameter estimation for their interleavers was of great importance. Focusing on the random interleaver of Turbo codes, an iterative estimation algorithm based on correlation decision between the soft outputs of the Turbo decoder was presented. The algorithm used soft-decisions of the demodulator output sequence. It overcame the shortcomings of existing methods which often aimed at certain interleaving structures only, and suffered from weak robustness since they used hard-decisions. Simulation results show that the proposed algorithm has better performance and relatively lower complexity, especially in low signal-to-noise ratio cases.
出处
《通信学报》
EI
CSCD
北大核心
2015年第6期201-206,共6页
Journal on Communications
基金
国家自然科学基金资助项目(61072046)~~
关键词
TURBO码
随机交织器
软判决
低信噪比
相关性判决
迭代估计
Turbo codes
random interleaver
soft-decision
low signal-to-noise ratio
correlation decision
iterative estimation
