自动化与仪器仪表
自動化與儀器儀錶
자동화여의기의표
AUTOMATION & INSTRUMENTATION
2014年
1期
77-78
,共2页
压缩感知%无线传感器网络%分布式压缩感知%联合稀疏模型
壓縮感知%無線傳感器網絡%分佈式壓縮感知%聯閤稀疏模型
압축감지%무선전감기망락%분포식압축감지%연합희소모형
Compressed Sensing%Wireless Sensor Networks%Distributed Compressed Sensing%Joint Sparse Model
分布式无线传感网络面临着数据采样和传输方面的发展瓶颈问题。本文研究分析了能较好地适应并解决这一问题的分布式压缩感知（Distributed Compressed Sensing,DCS）算法。从理论上重点研究了DCS算法中JSM （Joint Sparse Model,JSM）的三种模型JSM-1，JSM-2，JSM-3。通过仿真对CS和DCS算法性能进行了对比分析。结果表明：DCS算法相比CS算法能以更少的测量值实现对原始信号群的精确重建，降低了节点能耗，延长了网络的生命周期。
分佈式無線傳感網絡麵臨著數據採樣和傳輸方麵的髮展瓶頸問題。本文研究分析瞭能較好地適應併解決這一問題的分佈式壓縮感知（Distributed Compressed Sensing,DCS）算法。從理論上重點研究瞭DCS算法中JSM （Joint Sparse Model,JSM）的三種模型JSM-1，JSM-2，JSM-3。通過倣真對CS和DCS算法性能進行瞭對比分析。結果錶明：DCS算法相比CS算法能以更少的測量值實現對原始信號群的精確重建，降低瞭節點能耗，延長瞭網絡的生命週期。
분포식무선전감망락면림착수거채양화전수방면적발전병경문제。본문연구분석료능교호지괄응병해결저일문제적분포식압축감지（Distributed Compressed Sensing,DCS）산법。종이론상중점연구료DCS산법중JSM （Joint Sparse Model,JSM）적삼충모형JSM-1，JSM-2，JSM-3。통과방진대CS화DCS산법성능진행료대비분석。결과표명：DCS산법상비CS산법능이경소적측량치실현대원시신호군적정학중건，강저료절점능모，연장료망락적생명주기。
Distributed Wireless Sensor Networks facing data sampling and transmission aspects of development bottlenecks. This study analyzes can better adapt to and solve the problem of distributed compressed sensing (Distributed Compressed Sensing, DCS) algorithms. This paper focuses on the theoretical DCS algorithm JSM (Joint Sparse Model, JSM) three models JSM-1, JSM-2, JSM-3. The CS and DCS simulation algorithm performance were compared. The results showed that:DCS algorithm relative to CS algorithm can use less accurate measurements to reconstruct the original signal group, save node energy and prolong the network lifetime.
