DocumentCode :
3004528
Title :
Analysis and design of QAPM modulation using compressive sensing for low power communication
Author :
So-Ra Kim ; Heung-Gyoon Ryu
Author_Institution :
Dept. of Electron. Eng., Chungbuk Nat. Univ., Cheongju, South Korea
fYear :
2012
fDate :
Oct. 29 2012-Nov. 1 2012
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we propose a QAPM (quadrature amplitude position modulation) modulation using compressive sensing for the purpose of power efficiency improvement. QAPM modulation is a combination technique of QAM (quadrature amplitude modulation) and PPM (pulse position modulation). Therefore, it can decrease the transmission power and improve BER performance. Moreover, even if the bandwidth are widened when the number of positions is increased, high sparsity characteristic caused by position number can be applied to compressive sensing technique. Compressive sensing has recently studied as a method that can be successfully reconstructed from the small number of measurements for sparse signal. Therefore, the proposed system can lower price of receiver by reducing sampling rate and has performance improved by using QAPM modulation. And the results are confirmed through simulations.
Keywords :
compressed sensing; error statistics; low-power electronics; pulse modulation; quadrature amplitude modulation; signal reconstruction; signal sampling; telecommunication power management; BER performance; PPM; QAM; QAPM modulation; compressive sensing; low power communication; power efficiency improvement; pulse position modulation; quadrature amplitude modulation; quadrature amplitude position modulation; sampling rate; sparse signal reconstruction; sparsity characteristic; transmission power; Bandwidth; Bit error rate; Compressed sensing; Power demand; Quadrature amplitude modulation; Signal to noise ratio; CoSaMP; Compressive sensing; Low-power communication; QAPM modulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
MILITARY COMMUNICATIONS CONFERENCE, 2012 - MILCOM 2012
Conference_Location :
Orlando, FL
ISSN :
2155-7578
Print_ISBN :
978-1-4673-1729-0
Type :
conf
DOI :
10.1109/MILCOM.2012.6415708
Filename :
6415708
Link To Document :
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