Title :
OFDM spectral characterization: estimation of the bandwidth and the number of sub-carriers
Author :
Akmouche, W. ; Kerherve, Eric ; Quinquis, André
Author_Institution :
CELAR, Bruz, France
Abstract :
This paper deals with the analysis of modulated signals in a NDA (non data aided) context. Assuming the detection of an OFDM signal, our goal is to estimate the bandwidth and the number of sub-carriers of this signal. First, we propose an algorithm based on wavelet decomposition in order to estimate the bandwidth: bandwidth is correctly estimated in 100% of the cases with an error lower than 8% until the SNR = 3 dB. Second, we apply the MUSIC algorithm with decision criterion to obtain the number of sub-carriers: the number of carriers can be estimated with an error lower or equal to 9% in 100% of the cases until the SNR = 10 dB
Keywords :
OFDM modulation; parameter estimation; signal classification; signal detection; spectral analysis; wavelet transforms; MUSIC algorithm; OFDM; bandwidth estimation; decision criterion; modulated signal analysis; non data aided signals; signal detection; spectral characterization; sub-carrier number; wavelet decomposition; Bandwidth; Continuous wavelet transforms; Error correction; Frequency division multiplexing; Multiple signal classification; OFDM modulation; Pulse modulation; Shape; Signal analysis; Signal detection;
Conference_Titel :
Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on
Conference_Location :
Pocono Manor, PA
Print_ISBN :
0-7803-5988-7
DOI :
10.1109/SSAP.2000.870079
