Synthesis of binary sequences with good auto- and crosscorrelation properties by GA

Authors :: Heng Dong
Baoyun Wang
Chunlei Gu
Guangzeng Feng
Source :: ICCT'98. 1998 International Conference on Communication Technology. Proceedings (IEEE Cat. No.98EX243).
Publication Year :: 2002
Publisher :: Publising House of Constr. Mater, 2002.
Abstract: In this letter we employ a genetic algorithm (GA) to synthesize binary sequences with good autocorrelation and crosscorrelation properties. The feasibility and robustness of this method are proved by the sequences obtained in simulation, which are better in auto- and crosscorrelation properties than those previously reported.

Subjects :: Complementary sequences
Computer science
Robustness (computer science)
Autocorrelation
Binary number
Binary code
Correlation method
Pseudorandom binary sequence
Algorithm
Physics::Geophysics

Database :: OpenAIRE
Journal :: ICCT'98. 1998 International Conference on Communication Technology. Proceedings (IEEE Cat. No.98EX243)
Accession number :: edsair.doi...........d5ecba1ab391ec3942a4b896d7c55ba6
Full Text :: https://doi.org/10.1109/icct.1998.741435

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