{"title":"Spread Spectrum Code Estimation by Genetic Algorithm","authors":"V. R. Asghari, M. Ardebilipour","volume":9,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":1445,"pagesEnd":1449,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/15117","abstract":"In the context of spectrum surveillance, a method to\nrecover the code of spread spectrum signal is presented, whereas the\nreceiver has no knowledge of the transmitter-s spreading sequence.\nThe approach is based on a genetic algorithm (GA), which is forced to\nmodel the received signal. Genetic algorithms (GAs) are well known\nfor their robustness in solving complex optimization problems.\nExperimental results show that the method provides a good\nestimation, even when the signal power is below the noise power.","references":"[1] D. Thomas Magill, Francis D. Natali, Gwyn P. Edwards, \"Spread\nSpectrum Technology for Commercial Applications,\" Proceeding of the\nIEEE, vol. 82, pp. 572-584, April. 1994.\n[2] Raymond. L. Picholtz, Doland L. Schilling, Laurence B. Milstein,\n\"Theory of Spread Spectrum Communications - A Tutorial,\" IEEE\nTransactions on Communications, vol. COM-30, pp. 855-884, May.\n1982.\n[3] John G. Proakis, Digital communication, Third Edition, Mac Graw Hill\nInternational Editions, 1995.\n[4] Dilip V. Sarwate, Michael B. Pursley, \"Crosscorrelation Properties of\nPseudo-random and Related Sequences,\" Proceeding of the IEEE, vol.\n68, pp. 593-619, May. 1980.\n[5] Michail K. Tsatsanis, Georgios B. Giannakis, \"Blind Estimation of\nDirect Sequence Spread Spectrum Signals in Multipath,\" IEEE\nTransactions on Signal Processing, vol. 45, pp. 1241-1252, May. 1997.\n[6] J.-M. Renders and S. P. Flasse, \"Hybrid methods using genetic\nalgorithms for global optimization,\" IEEE Trans. Systems, Man,\nCybernetics\u00d4\u00c7\u00f6Part B: Cybernetics, vol. 26, pp. 243-258, April. 1996.\n[7] J. H. Holland, Adaptation in Natural and Artificial Systems, Ann Arbor,\nMI: Univ. Michigan Press, 1975.\n[8] M. Mitchell, An Introduction to Genetic Algorithms. Cambridge, MA:\nMIT Press, 1996.\n[9] D. E. Goldberg, Genetic Algorithms in Search, Optimization, and\nMachine Learning. Reading, MA: Addison-Wesley, 1989.r publication.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 9, 2007"}