Title :
OFDM system identification using pilot tone signature
Author :
Oularbi, Mohamed-Rabie ; Gazor, Saeed ; Houcke, Sebastien ; Aïssa-El-Bey, Abdeldjalil
Author_Institution :
Dept. of Electr. & Comput. Eng., Queen´´s Univ., Kingston, ON, Canada
Abstract :
This paper deals with the challenge of OFDM system identification. In a recent paper [1], we developed a Generalized Likelihood Ratio Test approach that exploits only the pilot positions to detect the presence of a given system. In this paper, we propose to exploit the redundancy often induced between the pilot symbols as a side information to improve the detector performance. Computer simulations show that the proposed algorithm outperforms the first proposed method and the existing techniques in the literature. More than system detection, the proposed algorithm performs channel estimation as well as estimation of the noise variance and is computationally inexpensive.
Keywords :
OFDM modulation; channel estimation; computational complexity; maximum likelihood estimation; redundancy; signal detection; OFDM system identification; channel estimation; computationally inexpensive; generalized likelihood ratio test approach; noise variance estimation; pilot positions; pilot symbols; pilot tone signature; redundancy; system detection; Cognitive radio; Detectors; FCC; Indexes; OFDM; Signal to noise ratio; Time frequency analysis;
Conference_Titel :
Systems, Signal Processing and their Applications (WOSSPA), 2011 7th International Workshop on
Conference_Location :
Tipaza
Print_ISBN :
978-1-4577-0689-9
DOI :
10.1109/WOSSPA.2011.5931422