研究了分组交织、卷积交织和螺旋交织三种交织器参数盲识别模型,结合秩准则算法与高斯约当消元法,对于各交织器的交织深度、交织宽度、交织偏差、交织步长等参数的盲识别进行了分析,并进一步基于解交织理论和软信息,提出了一种盲解交织的通用方法,提高了算法的实用性和可行性,使其更适用于实际信道。通过仿真实验,验证了在较高误码率下三种交织参数盲识别算法的有效性和抗噪能力。

Blind identification of channel coding is significant for both AMC in cooperative communications and passive listening in a non-cooperative context. What’s more, blind estimation and detection of interleaver parameters is a key step to recover original data sequence. In this paper, we study blind identification of three interleavers —— block interleaver, convolutional interleaver and helical interleaver, and make some comparison of them. Combining rank criteria with Gauss-Jordan Elimination through pivoting (GJETP) algorithm, blind identification of interleaver parameters in high bit error rate is realized and we discuss the depth, width, synchronization, and step of interleaver respectively. Based on deinterleaver theory and some soft information, a universal method for blind identification of interleaver is raised, which enhances the algorithm ability for adapting to real channel. The experiment indicates that the algorithms are effective and feasible.