DocumentCode :
2168270
Title :
GPS signal acquisition via folding and compressive sensing
Author :
Ying Ji ; Xiaofu Wu ; Jun Yan ; Weiping Zhu
Author_Institution :
Inst. of Signal Process. & Transm., Nanjing Univ. of Posts & Telecommun., Nanjing, China
fYear :
2013
fDate :
17-19 Nov. 2013
Firstpage :
234
Lastpage :
238
Abstract :
For fast acquisition of GPS pseudo-noise (PN) code, folding is often used to speed up the search process. By properly incorporating the folding in the compressive sensing (CS) framework, a new low-complexity GPS signal acquisition scheme is proposed. In the CS reconstruction step, a new method is proposed termed projection elimination (PE) algorithm, which has lower computational complexity and nearly the same performance compared to the orthogonal matching pursuit (OMP) algorithm for very sparse signals. Simulation results are given to demonstrate its effectiveness.
Keywords :
Global Positioning System; compressed sensing; computational complexity; iterative methods; pseudonoise codes; signal detection; signal reconstruction; time-frequency analysis; CS reconstruction step; GPS PN code; GPS pseudo-noise code; GPS signal acquisition scheme; OMP algorithm; compressive sensing; computational complexity; fast acquisition; folding technique; orthogonal matching pursuit algorithm; projection elimination algorithm; sparse signals; Complexity theory; Compressed sensing; Correlators; Global Positioning System; Matching pursuit algorithms; Satellites; Vectors; GPS signal acquisition; compressive sensing; folding; projection elimination algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Technology (ICCT), 2013 15th IEEE International Conference on
Conference_Location :
Guilin
Type :
conf
DOI :
10.1109/ICCT.2013.6820378
Filename :
6820378
Link To Document :
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