典型文献
Sensing Matrix Optimization for Multi-Target Localization Using Compressed Sensing in Wireless Sensor Network
文献摘要:
In the multi-target localization based on Compressed Sensing(CS),the sensing matrix's char-acteristic is significant to the localization accuracy.To improve the CS-based localization approach's per-formance,we propose a sensing matrix optimization method in this paper,which considers the optimiza-tion under the guidance of the t%-averaged mutual coherence.First,we study sensing matrix optimiza-tion and model it as a constrained combinatorial op-timization problem.Second,the t%-averaged mutual coherence is adopted as the optimality index to evalu-ate the quality of different sensing matrixes,where the threshold t is derived through the K-means clustering.With the settled optimality index,a hybrid metaheuris-tic algorithm named Genetic Algorithm-Tabu Local Search(GA-TLS)is proposed to address the combi-natorial optimization problem to obtain the final op-timized sensing matrix.Extensive simulation results reveal that the CS localization approaches using dif-ferent recovery algorithms benefit from the proposed sensing matrix optimization method,with much less localization error compared to the traditional sensing matrix optimization methods.
文献关键词:
中图分类号:
作者姓名:
Xinhua Jiang;Ning Li;Yan Guo;Jie Liu;Cong Wang
作者机构:
College of Communications Engineering,Army Engineering University,Nanjing 210007,China;College of Field Engineering,Army Engineering University,Nanjing 210007,China
文献出处:
引用格式:
[1]Xinhua Jiang;Ning Li;Yan Guo;Jie Liu;Cong Wang-.Sensing Matrix Optimization for Multi-Target Localization Using Compressed Sensing in Wireless Sensor Network)[J].中国通信(英文版),2022(03):230-244
A类:
metaheuris,natorial
B类:
Sensing,Matrix,Optimization,Multi,Target,Localization,Using,Compressed,Wireless,Sensor,Network,In,multi,target,localization,CS,sensing,char,acteristic,significant,accuracy,To,improve,formance,we,optimization,this,paper,which,considers,under,guidance,averaged,mutual,coherence,First,study,model,constrained,combinatorial,problem,Second,adopted,optimality,evalu,ate,quality,different,matrixes,where,threshold,derived,through,means,clustering,With,settled,hybrid,named,Genetic,Algorithm,Tabu,Search,GA,TLS,proposed,address,obtain,final,timized,Extensive,simulation,results,reveal,that,approaches,using,recovery,algorithms,benefit,from,much,error,compared,traditional,methods
AB值:
0.527226
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