Optimization of Orthogonal Polyphase Coding Waveform for Mimo Radar Based on Evolutionary Algorithms

Volume 6, Issue 2, pp 146 - 153 http://dx.doi.org/10.22436/jmcs.06.02.07

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Authors

Hamed Azami - Department of Electrical Engineering, Iran University of Science and Technology. Milad Malekzadeh - Department of Electrical and Computer Engineering, Babol University of Technology. Saeid Sanei - Faculty of Engineering and Physical Sciences, University of Surrey, UK. Alireza Khosravi - Faculty of Electrical and Computer Engineering, Babol University of Technology.

Abstract

Using multiple antennas at both transmitter and receiver to improve communication performance is referred to as multi-input multi-output (MIMO) system. In order to keep away interference and increase the independency between the information received from or reflected by various targets, the transmitted signals are required to be mutually orthogonal. In this paper a new approach using evolutionary algorithms including particle swarm optimization (PSO), bee algorithm (BA) and artificial bee colony (ABC) to design orthogonal discrete frequency coding waveforms (DFCWs) is proposed. These methods have desirable autocorrelation and cross correlation characteristics for orthogonal MIMO radars. The simulation results and comparisons demonstrate that each evolutionary algorithm has its own advantages and disadvantages and therefore can be applied to meet particular requirements.

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Keywords

• Poly phase
• MIMO radars
• evolutionary algorithms.

MSC

•  90C59
•  74P10
•  74P05

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