DocumentCode
780901
Title
Optimal blind carrier recovery for MPSK burst transmissions
Author
Wang, Yan ; Serpedin, Erchin ; Ciblat, Philippe
Author_Institution
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume
51
Issue
9
fYear
2003
Firstpage
1571
Lastpage
1581
Abstract
The paper introduces and analyzes the asymptotic (large sample) performance of a family of blind feedforward nonlinear least-squares (NLS) estimators for joint estimation of carrier phase, frequency offset, and Doppler rate for burst-mode phase-shift keying transmissions. An optimal or "matched" nonlinear estimator that exhibits the smallest asymptotic variance within the family of envisaged blind NLS estimators is developed. The asymptotic variance of these estimators is established in closed-form expression and shown to approach the Cramer-Rao lower bound of an unmodulated carrier at medium and high signal-to-noise ratios (SNR). Monomial nonlinear estimators that do not depend on the SNR are also introduced and shown to perform similarly to the SNR-dependent matched nonlinear estimator. Computer simulations are presented to corroborate the theoretical performance analysis.
Keywords
demodulation; feedforward; frequency estimation; nonlinear estimation; phase estimation; phase shift keying; Cramer-Rao lower bound; Doppler rate estimation; MPSK burst transmissions; SNR; asymptotic variance; blind carrier recovery; blind estimation; burst-mode phase-shift keying; carrier phase estimation; closed-form expression; feedforward estimation; frequency offset estimation; nonlinear least-squares estimation; signal-to-noise ratio; AWGN; Frequency estimation; Frequency synchronization; Maximum likelihood estimation; Performance analysis; Phase estimation; Phase shift keying; Signal processing algorithms; Signal to noise ratio; Viterbi algorithm;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/TCOMM.2003.816979
Filename
1231655
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