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
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;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2003.816979