DocumentCode :
3578510
Title :
Compressive sampling for DS TT&C signals based on sparsity analysis
Author :
Yanhe Cheng ; Wenge Yang ; Jiang Zhao
Author_Institution :
Dept. of Opt. & Electr. Equip., Equip. Acad., Beijing, China
fYear :
2014
Firstpage :
538
Lastpage :
541
Abstract :
Broadband is one of development trends of the TT&C system, which will inevitably lead to high speed sampling pressure and massive data problem. To aim at the issue, the compressive sampling for DS TT&C signals based on compressive sensing was studied preliminarily. On the basis of the in-depth sparse analysis for the DS TT&C signal, the phase-Doppler basic dictionary was built, and then simulation verification of the sparse representation and compressive sampling for the DS TT&C signal was carry out. The results of simulation show that compressive sampling for DS TT&C signals based on the built phase-Doppler basic dictionary is feasible which gets some noise reduction performance.
Keywords :
broadband networks; code division multiple access; compressed sensing; dictionaries; interference suppression; radio tracking; radiofrequency interference; signal representation; spread spectrum communication; telemetry; DS TT&C signals; TT&C system; compressive sampling; direct sequence tracking telemetry and command; noise reduction; phase-Doppler basic dictionary; sparse analysis; sparse representation; sparsity analysis; Dictionaries;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Problem-Solving (ICCP), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-4246-6
Type :
conf
DOI :
10.1109/ICCPS.2014.7062383
Filename :
7062383
Link To Document :
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