Title :
SNR Estimation of Time-Frequency Overlapped Signals for Underlay Cognitive Radio
Author :
Jianghong Wang ; Bingbing Li ; Mingqian Liu ; Junfang Li
Author_Institution :
State Key Lab. of Integrated Service Networks, Xidian Univ., Xi´an, China
Abstract :
In view of the issue that the single-signal signal-to-noise ratio (SNR) estimation methods are unsuitable for time-frequency overlapped signals in underlay cognitive radio (CR), a novel SNR estimation method for time-frequency overlapped signals is proposed under low SNR conditions. In this method, the SNR estimation is transformed into normalized power estimation of every signal component through establishing the kurtosis of received signals on the basis of second moments and forth-order moments. The Cramer Rao Bound (CRB) of SNR estimation for time-frequency overlapped signals is also derived in this letter. Simulation results are provided to confirm that the proposed method can estimate the SNR of time-frequency overlapped signals effectively in low SNR regions.
Keywords :
cognitive radio; frequency estimation; time-frequency analysis; CRB; Cramer Rao Bound; SNR estimation; forth-order moments; normalized power estimation; signal- to-noise ratio estimation; time-frequency overlapped signals; underlay cognitive radio; Binary phase shift keying; Cognitive radio; Estimation; Interference; Mathematical model; Signal to noise ratio; Time-frequency analysis; CRB; SNR estimation; Underlay cognitive radio; time-frequency overlapped; timefrequency overlapped;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2015.2475760
