NDLI: Blind SNR Estimation on WCDMA system with Unequal Power Signals and without any Prior Knowledge

Content Provider	IEEE Xplore Digital Library
Author	Ghavami, S. Vakili, V.T.
Copyright Year	2007
Description	Author affiliation: Iran Univ. of Sci. & Technol., Tehran (Ghavami, S.; Vakili, V.T.)
Abstract	In this paper we have estimated signal to noise ratio (SNR) of active users in uplink scenario of CDMA systems blindly. We have not any knowledge about PN (pseudo noise) code, frequency, and timing of received signals. In this way first we synchronized received signal of desired user and then we use subspace method for SNR estimation of synchronized user. This type of SNR estimation is classified as non data aided (NDA) methods. Our synchronization is based on maximizing of covariance matrix Frobenius norm. After that by estimating PN code of strongest signal we are able to estimate transmitted signal data, and by using estimated SNR, we can eliminate this signal from received signal by using SIC (serial interference canceller). By repetition this cycle for each user we can estimate SNR of active users in uplink scenario. Also, in this paper we use minimum description length (MDL) criteria for estimating signal subspace dimension. Standard divisions of estimated SNR show that good agreement with exact SNR for all users.
Starting Page	1
Ending Page	5
File Size	4582264
Page Count	5
File Format	PDF
ISBN	1424416620
DOI	10.1109/ISTMWC.2007.4299034
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-01
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Scientific Assoc for Infocommunications
Subject Keyword	Interference cancellation Silicon carbide Power control Timing Amplitude estimation Multiaccess communication Frequency synchronization Statistics Power system modeling Signal to noise ratio
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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