DocumentCode :
754589
Title :
Polyphase sequences with low autocorrelation
Author :
Borwein, Peter ; Guson, RonFer
Author_Institution :
Dept. of Math., Simon Fraser Univ., Burnaby, BC, Canada
Volume :
51
Issue :
4
fYear :
2005
fDate :
4/1/2005 12:00:00 AM
Firstpage :
1564
Lastpage :
1567
Abstract :
Low autocorrelation for sequences is usually described in terms of low base energy, i.e., the sum of the sidelobe energies, or the maximum modulus of its autocorrelations, a Barker sequence occurring when this value is ≤ 1. We describe first an algorithm applying stochastic methods and calculus to the problem of finding polyphase sequences that are good local minima for the base energy. Starting from these, a second algorithm uses calculus to locate sequences that are local minima for the maximum modulus on autocorrelations. In our tabulation of smallest base energies found at various lengths, statistical evidence suggests we have good candidates for global minima or ground states up to length 45. We extend the list of known polyphase Barker sequences to length 63.
Keywords :
binary sequences; correlation theory; ground states; optimisation; stochastic processes; autocorrelation; global minima; ground state; local minima; low base energy; maximum modulus; polyphase Barker sequence; sidelobe energy; statistical evidence; stochastic method; Autocorrelation; Binary sequences; Calculus; Mathematics; Stationary state; Stochastic processes; Barker sequences; base energy; correlation; inverse collector´s problem; polyphase sequences; stochastic optimization;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2004.842778
Filename :
1412048
Link To Document :
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