摘要
针对目前尚无系统分析差分跳频(DFH:D ifferential Frequency Hopp ing)方法的问题,证明了差分跳频具有等效卷积码的结构,并通过实例对差分跳频的等效卷积码结构进行了研究,分析了维特比硬判决译码算法在AWGN(Add itive W h ite Gaussian Noise)信道下的性能,并进行了仿真。仿真结果表明,随着反馈深度的增加,采用基于差分跳频等效卷积码结构的维特比硬判决译码方法与差分跳频逐跳检测算法相比,性能可提高3 dB以上。同时证明了通过差分跳频等效卷积码结构对差分跟踪跳频系统进行研究是可行的,为系统研究差分跳频技术提供了较好的解决思路。
There wasn＇t systemically studying method of DFH （Differential Frequency Hopping） by now. It proved the DFH has the equivalent structure of convolutional codes, and studied the performance of DFH by an example. Analyzed and simulated the performance of the Viterbi hard-decision decoding algorithm in the AWGN （Additive White Gaussian Noise）. The computer＇s simulation indicated that the method （Viterbi hard-decision decoding algorithm based on the equivalent convolutional code structure of DFH） could improve performance 3 dB than hop-by-hop detection algorithm by increasing the traceback depth, so it was feasible that DFH could be studied by its equivalent convolutional code structure. Finally, the method of systemically studying DFH system was put forward.
出处
《吉林大学学报（信息科学版）》
CAS
2006年第5期495-500,共6页
Journal of Jilin University（Information Science Edition）
关键词
差分跳频
卷积码
维特比算法
硬判决译码
汉明距离
differential frequency hopping
convolutional codes
viterbi algorithm
hard-decision decoding
hamming distance
