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Multi-carrier Based Radar Signal Optimization Using Genetic Algorithm

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Proceedings of the Third International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 258))

Abstract

In this paper, we present our preliminary work on the use of single objective genetic algorithms to improve the design of multicarrier phase coded radar pulses in terms of their autocorrelation properties. The parameter over which optimization is performed is the set of complex phase codes which are applied onto the subcarriers. We show how the use of genetic algorithms is relevant in this context through several comparisons with the well-known Barker phase code structures.

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Notes

  1. 1.

    Another Barker code with the very same autocorrelation properties results from interchanging 0 and \( \pi \), namely [0 0 \( \pi \)] and [0 0 0 \( \pi \) 0].

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Correspondence to Gabriel Lellouch .

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© 2014 Springer India

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Lellouch, G., Mishra, A.K. (2014). Multi-carrier Based Radar Signal Optimization Using Genetic Algorithm. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 258. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1771-8_46

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  • DOI: https://doi.org/10.1007/978-81-322-1771-8_46

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1770-1

  • Online ISBN: 978-81-322-1771-8

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