Abstract
In view of the traditional genetic algorithm easily fall into local optimum in the late iterations, this paper puts forward an improved chaos genetic algorithm coded orthogonal signal design method which combines the chaos theory and genetic algorithm for MIMO radar. In order to prevent and overcome the ‘premature’ phenomenon in the process of optimization, the traversal features of the chaos optimization is introduced to the genetic algorithm, which reduces the autocorrelation peak side lobe and cross-correlation peak. Simulation results show that the proposed algorithm is feasible and effective.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Yang, Y., Blum, R.S.: MIMO Radar Waveform Design Based on Mutual Information and Minimum Mean-Square Error Estimation. IEEE Transaction on Aerospace and Electronic Systems 43, 330–340 (2007)
Deng, H.: Polyphase Code Design for Orthogonal Netted Radar Systems. IEEE Trans. on Signal Processing 52, 3126–3135 (2004)
Bo, L., Zishu, H., Jiankui, Z.: Polyphase Orthogonal Code Design for MIMO Radar Systems. In: Proc. of the International Conference on Radar, pp. 1–4. IEEE Press (2006)
Yu, Z., Jintao, S.: Phase-Coding Waveform Design for MIMO Radar Systems. Acta Armamentarii 1, 109–112 (2010)
Dong, S., Linrang, Z., Xin, L.: Polyphase Orthogonal Code Waveform Design Based on Chaotic Sequences for MIMO Radar. Journal of Lanzhou University 1, 100–106 (2011)
Yang, J., Qiu, Z.K., Xin, L.: Random Discrete Frequency Coding Signal Based on Chaotic Series. Journal of Electronic & Information Technology 33, 2702–2708 (2011)
Liang, S., Hao, Q., Jun, L.: Chaotic Optimization Algorithm Based on Tent Map. Control and Decision 20, 179–182 (2005)
El-Gohary, A., Al-Ruzaiza, A.S.: Chaos and Adaptive Control in Two Prey, One Predator System with Nonlinear Feedback. Chaos, Solitons and Fractals 34(2), 443–453 (2007)
Dongping, T.: Particle Swarm Optimization Algorithm Based on Tent Chaotic Sequence. Computer Engineering 36, 180–182 (2010)
Xiaohui, Y., Cheng, W.: A Novel Self-Adaptive Chaotic Genetic Algorithm. Acta Electronica Sinica 34, 708–712 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Fu, X., Chen, X., Hou, Q., Wang, Z., Yin, Y. (2013). Orthogonal Waveform Design Based on the Modified Chaos Genetic Algorithm for MIMO Radar. In: Sun, C., Fang, F., Zhou, ZH., Yang, W., Liu, ZY. (eds) Intelligence Science and Big Data Engineering. IScIDE 2013. Lecture Notes in Computer Science, vol 8261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42057-3_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-42057-3_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-42056-6
Online ISBN: 978-3-642-42057-3
eBook Packages: Computer ScienceComputer Science (R0)