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.
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© 2013 Springer-Verlag Berlin Heidelberg
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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
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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
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