Skip to main content
SpringerLink
Log in

Frequency-coded optimization of hopped-frequency pulse signal based on genetic algorithm

  • Papers
  • Published:
Journal of Electronics (China)

Abstract

The Frequency-Coded Pulse (FCP) signal has good performance of range and Doppler resolution. This paper first gives the mathematical expression of the ambiguity function for FCP signals, and then presents a coding rule for optimizing FCP signal. The genetic algorithm is presented to solve this kind of problem for optimizing codes. Finally, an example for optimizing calculation is illustrated and the optimized frequency coding results are given with the code length N=64 and N=128 respectively.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. D. R. Wehner, High Resolution Radar, 2nd ed, London, Artech House, 1995, Chapter 2.

    Google Scholar 

  2. G. S. Gill, J. C. Huang, The ambiguity function of the step frequency radar signal process, CIE Inter. Conf. of Radar, CA, USA, 1996, 375–380.

  3. J. H. Holland, Adaptation in Natural and Artificial Systems, Ann Arbor, The Univ. of Michigan Press, 1975, 20–46.

    Google Scholar 

  4. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley Press, 1989, Chapter 3.

  5. J. H. Holland, Genetic algorithms, Scientific American, 267(1992)1, 66–72.

    Article  Google Scholar 

  6. G. L. Chen, X. F. Wang, Genetic Algorithm and their Applications, People Post Telecom Publishing House, Beijing, 1994, 137–143, (in Chinese).

    Google Scholar 

  7. M. Y. Lin, Y. A. Ke, The Theory of Radar Signal. Beijing, People Post Telecom Publishing House 1984, 87–104, (in Chinese).

    Google Scholar 

  8. Z. Liu, S. H. Zhang, The Ambiguity function of the frequency-coded pulse signal and its code optimizing, Journal of Systems Engineering and Electronics, 21(1999)11, 38–40, (in Chinese).

    Google Scholar 

  9. S. Kirkpatrick, et al., Optimization by simulated annealing, Science, 220(1983)4598, 671–680.

    Article  MathSciNet  Google Scholar 

  10. J. S. Zhang, B. Z. Xu, Y. Liang, Genetic algorithm of global annealing and adequately necessary condition. Science in China(E), 27(1997)2, 154–164, (in Chinese).

    Google Scholar 

  11. K. S. Tang, K. F. Man, S. Kwong, Q. He, Genetic algorithms and their applications, IEEE Signal Processing Magazine, 13(1996)11, 22–37.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. National Key Lab. for Radar Signal Processing, Xidian University, 710071, Xi’an, China

    Liu Zheng & Mu Xuehua

Authors
  1. Liu Zheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mu Xuehua
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

Communication author: Liu Zheng, born in 1964, male, Ph.D., professor. National Key Lab for Radar Signal Processing, Xidian University, Xi’an 710071, China.

About this article

Cite this article

Liu, Z., Mu, X. Frequency-coded optimization of hopped-frequency pulse signal based on genetic algorithm. J. of Electron.(China) 22, 25–33 (2005). https://doi.org/10.1007/BF02687947

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02687947

Key words

Search

Navigation