PSK symbol synchronization performance of ML-oriented data-aided algorithms for nonselective fading channels

Two maximum-likelihood (ML)-oriented data-aided (DA) symbol synchronization algorithms are investigated in this paper. They operate on a noisy M-PSK signal (M>2) transmitted over a slowly time-varying nonselective Rician fading channel. The first algorithm is channel-aided (CA): it makes use of a...

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Published in:IEEE transactions on communications Vol. 43; no. 2/3/4; pp. 767 - 772
Main Authors: Goethals, K., Moeneclaey, M.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.02.1995
Institute of Electrical and Electronics Engineers
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ISSN:0090-6778
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Summary:Two maximum-likelihood (ML)-oriented data-aided (DA) symbol synchronization algorithms are investigated in this paper. They operate on a noisy M-PSK signal (M>2) transmitted over a slowly time-varying nonselective Rician fading channel. The first algorithm is channel-aided (CA): it makes use of an estimate or the instantaneous channel gain. The second algorithm is nonchannel-aided (NCA): timing is acquired independently of the channel gain estimation. Both algorithms operate either with a known training sequence or in a decision-directed mode, and are suitable for fully digital implementation. We find that the CA algorithm yields a smaller tracking error variance than the NCA algorithm, but the difference in performance decreases with increasing carrier-to-multipath (C/M) ratio.< >
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ISSN:0090-6778
DOI:10.1109/26.380239