Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31743
Spread Spectrum Code Estimation by Genetic Algorithm

Authors: V. R. Asghari, M. Ardebilipour

Abstract:

In the context of spectrum surveillance, a method to recover the code of spread spectrum signal is presented, whereas the receiver has no knowledge of the transmitter-s spreading sequence. The approach is based on a genetic algorithm (GA), which is forced to model the received signal. Genetic algorithms (GAs) are well known for their robustness in solving complex optimization problems. Experimental results show that the method provides a good estimation, even when the signal power is below the noise power.

Keywords: Code estimation, genetic algorithms, spread spectrum.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1084424

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1388

References:


[1] D. Thomas Magill, Francis D. Natali, Gwyn P. Edwards, "Spread Spectrum Technology for Commercial Applications," Proceeding of the IEEE, vol. 82, pp. 572-584, April. 1994.
[2] Raymond. L. Picholtz, Doland L. Schilling, Laurence B. Milstein, "Theory of Spread Spectrum Communications - A Tutorial," IEEE Transactions on Communications, vol. COM-30, pp. 855-884, May. 1982.
[3] John G. Proakis, Digital communication, Third Edition, Mac Graw Hill International Editions, 1995.
[4] Dilip V. Sarwate, Michael B. Pursley, "Crosscorrelation Properties of Pseudo-random and Related Sequences," Proceeding of the IEEE, vol. 68, pp. 593-619, May. 1980.
[5] Michail K. Tsatsanis, Georgios B. Giannakis, "Blind Estimation of Direct Sequence Spread Spectrum Signals in Multipath," IEEE Transactions on Signal Processing, vol. 45, pp. 1241-1252, May. 1997.
[6] J.-M. Renders and S. P. Flasse, "Hybrid methods using genetic algorithms for global optimization," IEEE Trans. Systems, Man, CyberneticsÔÇöPart B: Cybernetics, vol. 26, pp. 243-258, April. 1996.
[7] J. H. Holland, Adaptation in Natural and Artificial Systems, Ann Arbor, MI: Univ. Michigan Press, 1975.
[8] M. Mitchell, An Introduction to Genetic Algorithms. Cambridge, MA: MIT Press, 1996.
[9] D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning. Reading, MA: Addison-Wesley, 1989.r publication.