The Application of an Improved Genetic Algorithm to Signal Acquisition

Article Preview

Abstract:

The paper proposes an improved genetic algorithm which is applied to the problem of GPS signal acquisition.The improved genetic algorithm uses the small section method of the initial population, dynamic search range of parameter, and the adaptive crossover probability and mutation probability to search GPS signal parameters. Simulations and experiment results show that the improved genetic algorithm can search the signal parameters rapidly and precisely. The GPS signal acquisition performance is improved.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

2319-2322

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Polydoros A and Weber C: IEEE Transactions on Communications, Vol. 32(5) (1984), pp.542-549.

Google Scholar

[2] Chang C L, Shou H N and Juang J C: Proceedings of the ICROS-SICE International Joint Conference, Fukuoka, Japan, 18-21August 2009, pp.3569-3574.

Google Scholar

[3] Sanchez E, Shibata T and Zadeh L A: Genetic Algorithms and Fuzzy Logic Systems: Soft Computing Perspectives (Word Scientific, USA 1997).

DOI: 10.1142/2896

Google Scholar

[4] Zalzaza A M and Fleming P J: Genetic Algorithms in Engineering Systems (The Institution of Electrical Engineers, London 1997).

Google Scholar

[5] Ru Wang, Dan fang and Hui Lin: Measurement & Control Technology, Vol . 24 (1)(2005), pp.76-79 (In Chinese).

Google Scholar