非码长整数倍矩阵交织器参数盲估计算法

针对与线性分组码级联的矩阵交织器,提出了一种矩阵交织参数盲估计方法.首先构造数据矩阵,确定交织深度的整数倍;再进行一维假设确定交织偏差;最后对交织深度和交织宽度进行二维搜索,对数据进行解交织,确定这2个参数,实现了矩阵交织不同交织深度下参数的盲估计.该方法适用于任何交织深度下矩阵交织器参数估计,尤其适用于未被研究过的交织深度不等于码长整数倍的情况.仿真表明：在误码率为0.001时,无论交织深度是否为码长的整数倍,所提算法的参数估计速度均较快,且检测概率可达98%.

An algorithm of blind estimation of non-multiple code length matrix interleave parameters

For linear block code which takes the matrix interleave in channel coding, a new method is proposed to estimate blindly the interleave parameters. It determines firstly the multiple of interleave depth by constructing data matrix, then does one-dimensional hypothesis for the interleave offset. At last, two-dimensional hypothesis for the interleave depth and interleave width is taken in order to deinterleave the intercepted data, and to achieve the blind estimation of all interleave parameters. The method is applicable to any case of matrix interleaver for interleaver depth estimation, especially for the kind that the interleaver depth is not equal to an integer multiple of the code length which has not been studied so far. Simulation results show that, the detection probability can reaches 98% even though the bit error rate is 0.001. Meanwhile, the algorithm has a fast detection speed no matter what the interleaver depth is.