DocumentCode :
1174497
Title :
A new family of binary pseudorandom sequences having optimal periodic correlation properties and larger linear span
Author :
No, Jong-Seon ; Kumar, Vijay P.
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
Volume :
35
Issue :
2
fYear :
1989
fDate :
3/1/1989 12:00:00 AM
Firstpage :
371
Lastpage :
379
Abstract :
A collection of families of binary {0,1} pseudorandom sequences is introduced. Each sequence within a family has period N=2"-1, where n=2m is an even integer. There are 2m sequences within a family, and the maximum overall (nontrivial) auto- and cross-correlation values equals 2m+1. Thus, these sequences are optimal with respect to the Welch bound on the maximum correlation value. Each family contains a Gordon-Mills-Welch (GMW) sequence, and the collection of families includes as a special case the small set of Kasami sequences. The linear span of these sequences varies within a family but is always greater than or equal to the linear span of the GMW sequence contained within the family. Exact closed-form expressions for the linear span of each sequence are given. The balance properties of such families are evaluated, and a count of the number of distinct families of given period N that can be constructed is provided
Keywords :
binary sequences; correlation methods; information theory; spread spectrum communication; Gordon-Mills-Welch sequence; Kasami sequences; Welch bound; autocorrelation values; balance properties; binary pseudorandom sequences; closed-form expressions; cross-correlation values; larger linear span; maximum correlation value; optimal periodic correlation properties; spread spectrum communication; Binary sequences; Closed-form solution; Communication systems; Gold; Information theory; National security; Random sequences; Spread spectrum communication;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.32131
Filename :
32131
Link To Document :
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