DocumentCode
302233
Title
A digital-phase window processing technique for fast acquisition of phase-shift keyed signals
Author
Brown, Chuck ; Feher, Kamilo
Author_Institution
Digital Wireless Commun. Res. Lab., California Univ., Davis, CA, USA
Volume
1
fYear
1995
fDate
Oct. 30 1995-Nov. 1 1995
Firstpage
320
Abstract
This paper deals with the problem of fast carrier synchronization for phase shift keyed TDMA communication systems. A new variable sample digital phase window processing technique and maximum likelihood detection are presented as means to improve acquisition time. The new method reduces the average probability of error of single bit acquisition at a SNR of 14 dB better than 50% compared to the original adaptive phase tracking (APT) technique. Combined with maximal likelihood phase detection, the number of preamble bits may be reduced by two-thirds for an error rate of less than 10/sup -3/ and SNR of 14 dB. The statistics and theoretical limits of the acquisition probabilities and SNR degradation are calculated for various sample rates and preamble lengths in an additive white Gaussian noise (AWGN) channel. The analysis shows the substantial robustness of this means to acquire the carrier phase within fewer preamble bits, and provides an analytical means to evaluate various digital phase synchronization methods.
Keywords
phase shift keying; AWGN channel; SNR; TDMA communication systems; acquisition probabilities; acquisition time; adaptive phase tracking; additive white Gaussian noise; average error probability; carrier phase acquisition; digital phase synchronization methods; digital-phase window processing; error rate; fast acquisition; fast carrier synchronization; maximal likelihood phase detection; maximum likelihood detection; phase-shift keyed signals; preamble bits; preamble lengths; sample rates; single bit acquisition; statistics; variable sample processing; AWGN; Communication systems; Degradation; Error analysis; Maximum likelihood detection; Phase detection; Probability; Signal to noise ratio; Statistics; Time division multiple access;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-8186-7370-2
Type
conf
DOI
10.1109/ACSSC.1995.540564
Filename
540564
Link To Document