DocumentCode :
2428238
Title :
An investigation of non-data-aided SNR estimation techniques for analog modulation signals
Author :
Xiao, Haifeng ; Shi, Yun Q. ; Su, Wei ; Kosinski, John
Author_Institution :
Dept of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fYear :
2010
fDate :
12-14 April 2010
Firstpage :
1
Lastpage :
5
Abstract :
This paper investigates the non-data-aided SNR estimation techniques for analog modulation signals. Two existing algorithms, M2M4 and ED-based estimators, are modified and applied to SNR estimation for signals with analog modulation. This paper also proposes a simple but practical Spectrum-based SNR estimator for analog modulation. The performances of the three SNR estimators are compared and analyzed.
Keywords :
cognitive radio; modulation; software radio; ED-based estimators; analog modulation signals; cognitive radio; nondata-aided SNR estimation; software radio; Accuracy; Ad hoc networks; Bandwidth; Energy measurement; Heuristic algorithms; Prediction algorithms; Prediction methods; Switches; Testing; Wireless LAN; analog modulation signals; non-data-aided (NDA) estimators; signal-to-noise ratio (SNR) estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sarnoff Symposium, 2010 IEEE
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-5592-8
Type :
conf
DOI :
10.1109/SARNOF.2010.5469706
Filename :
5469706
Link To Document :
بازگشت