Paper Info
Title
Non-coherent detection of M-ary orthogonal signals using Compressive Sensing
Abstract
Energy-efficient wireless communications are key enablers for the development of smart objects. New architectures with very low-power profile have to be investigated for targeting advanced implementations. In this context, the paper proposes to employ the Compressive Sensing theory for the detection of M-ary orthogonal signals, without complete recovery. This allows to lower the digital baseband computation load for almost equivalent performance. Simulations based on the IEEE 802.15.4 standard shows that the BER matches the theoretical results with a tolerable loss, depending mostly on the compression rate. Then, numerical analysis brings out some practical limitations that have to be considered when using this technique. Finally, the paper underlines the innovative use of compressive sensing for reducing the computation load during detection. This flexibility enables the selection of the most efficient operating point.
Year
DOI
Venue
2014
10.1109/CSNDSP.2014.6923961
Communication Systems, Networks & Digital Signal Processing
Keywords
Field
DocType
Zigbee,compressed sensing,energy conservation,error statistics,numerical analysis,telecommunication power management,BER matches,IEEE 802.15.4 standard,M-ary orthogonal signals,almost equivalent performance,compression rate,compressive sensing,digital baseband computation load,energy-efficient wireless communications,noncoherent detection,numerical analysis,smart objects,very low-power profile,Compressive sensing,IEEE 802.15.4,baseband,digital communication,signal detection
Baseband,Data compression ratio,Wireless,Operating point,Computer science,Real-time computing,Electronic engineering,Compressed sensing,Computation,Bit error rate,Spread spectrum,Embedded system
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
4
Name
Order
Citations
PageRank
vincent lenoir111.50
Didier Lattard214418.68
Dehmas, F.3111.15
Morche, D.4235.81