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Design of binary phase sequences using Modified Particle Swarm Optimization for spread spectrum and radar applications


Article Information

Title: Design of binary phase sequences using Modified Particle Swarm Optimization for spread spectrum and radar applications

Authors: Srinivasa Rao S., Siddiah P.

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2018

Volume: 13

Issue: 2

Language: English

Categories

Abstract

For a multiple access communication system and radar system, it is desirable to have a set of sequences such that each sequence has a peaky autocorrelation and each pair of sequence has a negligible cross-correlation as possible. Obtaining such sequences is a combinatorial problem for which many global optimization algorithms like genetic algorithm, particle swarm optimization algorithm, simulated annealing algorithm were reported in the literature. In this paper a Modified Particle Swarm Optimization (MPSO) Algorithm is being designed to achieve these sequences. The MPSO Algorithm is a combination of the Hamming Scan Algorithm (HAS) and Particle Swarm Optimization (PSO) and has the fast convergence rate of Hamming Scan and global minima convergence of Particle Swarm Optimization. Binary phase sequences of lengths varying from 31 to 120 have been synthesized using MPSO and synthesized sequence sets achieved have better values of the above two properties compared with the literature. The synthesized binary phase sequences are promising for practical application to Netted Radar System and spread spectrum communication. The outcome of Doppler shift on synthesized sequences set is also investigated using ambiguity function.


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