Synthesizing cross-ambiguity functions using the improved bat algorithm

Jamil, Momin, Zepernick, Hans-Jürgen and Yang, Xin-She (2014) Synthesizing cross-ambiguity functions using the improved bat algorithm. In: Recent Advances in Swarm Intelligence and Evolutionary Computation. Springer, pp. 179-202.

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Abstract

The cross-ambiguity function (CAF) relates to the correlation processing of signals in radar, sonar, and communication systems in the presence of delays and Doppler shifts. It is a commonly used tool in the analysis of signals in these systems when both delay and Doppler shifts are present. In this chapter, we aim to tackle the CAF synthesization problem such that the synthesized CAF approximates a desired CAF. A CAF synthesization problem is addressed by jointly designing a pair of waveforms using a metaheuristic approach based on the echolocation of bats. Through four examples, it is shown that such an approach can be used as an effective tool in synthesizing different types of CAFs

Item Type: Book Section
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 19353
Depositing User: Xin-She Yang
Date Deposited: 19 Apr 2016 10:32
Last Modified: 13 Oct 2016 14:39
URI: https://eprints.mdx.ac.uk/id/eprint/19353

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