DocumentCode
1500404
Title
Oversampled M-sequences for joint data and bit epoch estimation in DSSS transmissions
Author
Borio, Daniele
Author_Institution
Dept. of Geomatics Eng., Univ. of Calgary, Calgary, AB, Canada
Volume
13
Issue
10
fYear
2009
fDate
10/1/2009 12:00:00 AM
Firstpage
721
Lastpage
723
Abstract
The maximum likelihood (ML) estimator for the bit synchronization epoch and data bit values in direct-sequence spread-spectrum (DSSS) transmission consists of determining the binary sequence that maximizes the correlation with the recovered data samples. This requires the exhaustive test of all sequences generated by the different bit combinations and alignments, resulting in a computationally intensive process. In this letter, the properties of maximum length sequences (m-sequences) are exploited for testing all the bit combinations and alignments in parallel, leading to a computationally efficient implementation of the ML estimator. The case where the data bits are modulated by an overlay or secondary code is also considered and the proposed algorithm is generalized to include the effect of this additional modulation.
Keywords
binary sequences; fast Fourier transforms; m-sequences; maximum likelihood estimation; spread spectrum communication; synchronisation; DSSS transmissions; binary sequence; bit epoch estimation; bit synchronization; direct-sequence spread-spectrum transmission; fast Fourier transform; m-sequences; maximum length sequences; maximum likelihood estimator; modulation; Binary sequences; Computational complexity; Concurrent computing; Fast Fourier transforms; Global Positioning System; Maximum likelihood estimation; Modulation coding; Signal processing; Spread spectrum communication; Testing; Bit estimation, bit synchronization, directsequence spread-spectrum (DSSS), fast Fourier transform (FFT), maximum length sequences, M-sequences, secondary codes.;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2009.091354
Filename
5288441
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