数字通信中卷积交织盲识别方法

A Blind Recognition Method of Convolutional Interleaving in Digital Communication

分析了卷积交织原理和交织器中移位寄存器的工作方式。在无任何辅助信息下,利用卷积交织器中移位寄存器所设初始值被交织后在交织序列中保持不变的特性,提出叠加法来确定交织序列中原移位寄存器初始值位置,并以此对卷积交织器支路数和每条支路增加的移位寄存器数这两个重要参数进行估计。为保证叠加结果的正确性,同时提出一种判决准则对叠加法的工作范围进行估计。仿真表明,叠加法和重要参数估计算法结合可在一定低信噪比下有效地实现关键参数估计和序列盲识别。

The principle of convolutional interleaver and the working mode of shift registers are analysed. Two parameters, including the numbers of branches and added shift registers in the every branch, can be estimated without any side information through an overlapping method. This overlapping method makes use of the invariability of the initial values in the shift registers which are added to the convolutional interleaving sequence and are not changed by any original information sequence. A decision criterion is also proposed to estimate the validity of overlapping result. The simulations show the overlapping method can estimate parameters and realize convolutional interleaving sequence without any side information at low signal-to- noise ratio（SNR） environment.