摘要
针对低信噪比情况下自同步扰码的识别问题,提出了基于软判决求解含错方程的自同步扰码盲识别方法。该方法首先通过硬判决序列识别出扰码多项式的阶数,建立含错方程组;然后提取软判决序列中比特的可靠度信息,根据选取的解向量将可靠度转化为每个方程成立的概率,找到使方程组成立概率最大的解向量,即为真正的扰码多项式。仿真实验表明,相比于基于硬判决的沃尔什-哈达玛变换(Walsh-Hadamard Transformation,WHT)算法,该方法在低信噪比下的容错性能较好。
To solve the self-synchronized scrambler recognition problem in the case of low signal to noise ratio, a blind recognition method of self-synchronous scrambler through solving error-containing equation based on soft-decision was proposed. Firstly, the order of the scrambling polynomial was recognized according to the hard-decision sequence and the error-containing equation set was built. Then the bit reliability information was obtained from the soft-decision sequence and the probability of the establishment of each equation was calculated from the reliability according to the selected solution vector. The solution vector which made maximum probabili-ty of the establishment of the equation set was searched, which was the real scrambling polynomial. Simulation results showed that this method had a better fault tolerance at low signal to noise ratio compared to the Walsh- Hadamard Transformation method based on hard-decision
作者
尹瑾
王建新
YIN Jin WANG Jianxin(School of electronic and optical engineering, Nanjing University of Science and Technology, Nanjing 210094,China)
出处
《探测与控制学报》
CSCD
北大核心
2017年第2期44-48,53,共6页
Journal of Detection & Control
关键词
自同步扰码
盲识别
软判决
含错方程
self-synchronized scrambler
blind recognition
soft-decision
error-containing equation
