Title :
Non-data aided feedforward cyclostationary statistics based carrier frequency offset estimators for linear modulations
Author :
Wang, Y. ; Serpedin, E. ; Ciblat, P. ; Loubaton, P.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
This paper proposes to analyze the performance of a family of non-data aided open-loop carrier frequency offset (FO) estimators for a linearly modulated signal transmitted through an unknown flat-fading (possibly frequency-selective) channel. The exact asymptotic (large sample) performance of these estimators is established and analyzed as a function of the received signal sampling frequency, signal-to-noise ratio (SNR), timing delay, and number of samples (N). It is shown that in the presence of timing errors, the performance of the estimators can be improved by oversampling (fractionally sampling) the received signal and by taking into account the entire cyclostationary information that is present in the received sequence
Keywords :
fading channels; feedforward; frequency estimation; pulse amplitude modulation; quadrature amplitude modulation; quadrature phase shift keying; statistical analysis; synchronisation; BPSK; PAM; QAM; QPSK; SNR; asymptotic performance; carrier frequency offset estimators; feedforward cyclostationary statistics; flat-fading channel; fractionally sampling; frequency-selective channel; linear modulation; linearly modulated signal; mobile wireless communication channels; nondata aided statistics; oversampling; received signal sampling frequency; signal-to-noise ratio; synchronization; timing delay; timing errors; Chirp modulation; Delay estimation; Frequency estimation; Performance analysis; Sampling methods; Signal analysis; Signal sampling; Signal to noise ratio; Statistics; Timing;
Conference_Titel :
Global Telecommunications Conference, 2001. GLOBECOM '01. IEEE
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-7206-9
DOI :
10.1109/GLOCOM.2001.965716