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Orthogonal Thirty-Two Phase Sequence Sets Design

S. P. Singh

Abstract


In using orthogonal signals, a multi-input, multi-output (MIMO) radar system and a spread spectrum communication system can improve operating efficiency. The usage of polyphase coded signals as pulse compression sequences sets is a superior alternative. The Modified Genetic Algorithm (MGA) is utilized as a global optimization strategy to create thirty-two phase sequence sets in this work. Design orthogonal thirty-two phase sequence sets with an impulse-like Autocorrelation Function (ACF) and a very low Cross-Correlation Function (CCF). It is impossible for an intercepting receiver to achieve matched processing if radar changes the transmitted code pulse-to-pulse, which makes radar anti-jamming. As a result, a set of thirty-two phase coded signals must have impulse-like autocorrelation for itself and no or minimal cross-correlation with the other codes in the set. Design thirty two phase signals have wide range of applications in Netted Radar Systems(NRS), anti-Anti-Radiation Missile(ARM)  and for multiple inputs multiple output (MIMO) communications. Some of the synthesized results are described in this study, and their qualities outperform four-phase sequence sets previously reported in the literature. The thirty-two phase sequence sets that were synthesized show promise for use in multiple Radar systems and spread spectrum communication. The manufactured sequences also have a complicated signal structure that is difficult for hostile electronics to identify and interpret. The algorithm's convergence rate is demonstrated to be good.


Keywords


Autocorrelation, Hamming scan, Polyphase codes, Genetic algorithm, Radar signal.

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