DocumentCode :
1715277
Title :
Compressive sampling based differential detection of ultra wideband signals
Author :
Gishkori, Shahzad ; Leus, Geert ; Lottici, Vincenzo
Author_Institution :
Fac. of EEMCS, Delft Univ. of Technol., Delft, Netherlands
fYear :
2010
Firstpage :
194
Lastpage :
199
Abstract :
In this paper we focus on compressive sampling (CS) based ultra wideband (UWB) differential detection. We formulate an optimization problem to jointly recover the sparse received UWB signals as well as the differentially encoded data symbol. We utilize an alternating direction method of multipliers (ADMoM) to solve this joint optimization problem. Our proposed joint recovery method outperforms the straightforward separate recovery method, which recovers the sparse received UWB signals in a first step and then detects the differentially encoded symbol based on the recovered signals.
Keywords :
optimisation; signal detection; signal sampling; ultra wideband communication; ADMoM; UWB differential detection; compressive sampling based differential detection; differential encoded data symbol; direction method of multipliers; joint optimization problem; joint recovery method; ultra wideband signal; Bit error rate; Cost function; Detectors; Joints; Modulation; Signal to noise ratio; Ultra wideband technology; ADMoM; compressive sampling; differential detection; ultra-wideband;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal Indoor and Mobile Radio Communications (PIMRC), 2010 IEEE 21st International Symposium on
Conference_Location :
Instanbul
Print_ISBN :
978-1-4244-8017-3
Type :
conf
DOI :
10.1109/PIMRC.2010.5671606
Filename :
5671606
Link To Document :
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