摘要
卷积码盲识别技术在信号截获、智能移动通信、多点广播通信等领域具有广泛应用,针对卷积码的快速盲识别问题,对经典欧几里得算法进行了改进,提出了一种基于改进欧几里得算法的卷积码的快速盲识别方法。算法对卷积码码率进行遍历,通过欧几里得迭代算法求解卷积的校验多项式,实现了任意码率卷积码的快速盲识别。对算法进行了仿真,仿真结果验证了算法的有效性,且算法的计算量小于文献中已有算法。
Blind recognition of convolutional codes is widely used in the fields of information interception, intelligent mobile communication and multicast communication. In order to solve the problem of fast recognition of convolutional codes, the classical Euclidean algorithm is improved, and a method for blind recognition of convolutional codes based on improved Euclidean algorithm is proposed. Code rate is searched first, the check polynomial of convolutional codes is solved through iterative process, and the convolutional codes can be identified quickly. Validity of the algorithm is verified by the simulation results, and computational load is less than the algorithms in the literature reviewed.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2012年第6期158-162,共5页
Journal of National University of Defense Technology
基金
国家自然科学基金资助项目(61072120)
教育部新世纪优秀人才支持计划项目
关键词
卷积码
盲识别
欧几里得
convolutional code
blind recognition
Euclidean
