典型文献
A Novel Method for Identifying Recursive Systematic Convolutional Encoders Based on the Cuckoo Search Algorithm
文献摘要：
The existing methods for identifying re-cursive systematic convolutional encoders with high robustness require to test all the candidate generator matrixes in the search space exhaustively.With the in-crease of the codeword length and constraint length,the search space expands exponentially,and thus it limits the application of these methods in practice.To overcome the limitation,a novel identification method,which gets rid of exhaustive test,is proposed based on the cuckoo search algorithm by using soft-decision data.Firstly,by using soft-decision data,the probabil-ity that a parity check equation holds is derived.Thus,solving the parity check equations is converted to max-imize the joint probability that parity check equations hold.Secondly,based on the standard cuckoo search algorithm,the established cost function is optimized.According to the final solution of the optimization problem,the generator matrix of recursive systematic convolutional code is estimated.Compared with the existing methods,our proposed method does not need to search for the generator matrix exhaustively and has high robustness.Additionally,it does not require the prior knowledge of the constraint length and is appli-cable in any modulation type.
文献关键词：
中图分类号：
作者姓名：
Shunan Han;Peng Liu;Guang Huang
作者机构：
Aviation University of Air Force,Changchun 130000,China
文献出处：
引用格式：
[1]Shunan Han;Peng Liu;Guang Huang-.A Novel Method for Identifying Recursive Systematic Convolutional Encoders Based on the Cuckoo Search Algorithm)[J].中国通信（英文版）,2022(12):64-72
A类：
Encoders,exhaustively,codeword,imize
B类：
Novel,Method,Identifying,Recursive,Systematic,Convolutional,Based,Cuckoo,Search,Algorithm,existing,methods,identifying,systematic,convolutional,encoders,high,robustness,require,test,candidate,generator,matrixes,search,space,With,crease,length,constraint,expands,exponentially,thus,limits,application,these,practice,To,overcome,limitation,novel,identification,which,gets,rid,proposed,cuckoo,algorithm,by,using,soft,decision,data,Firstly,that,parity,check,holds,derived,Thus,solving,equations,converted,max,joint,probability,Secondly,standard,established,cost,function,optimized,According,final,solution,optimization,problem,recursive,estimated,Compared,our,does,not,need,has,Additionally,prior,knowledge,cable,any,modulation,type
AB值：
0.506438
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