Polyphase orthogonal waveform using Modified Particle Swarm Optimization Algorithm for MIMO radar

Author

Reddy, B. Roja ; Kumari, M. Uttara

Author_Institution

Dept. of Telecommun. Eng., R.V. Coll. of Eng., Bangalore, India

fYear

2012

fDate

15-17 March 2012

Firstpage

1

Lastpage

6

Abstract

A Modified Particle Swarm Optimization Algorithm (MPSO) is promoted to design polyphase Coding waveforms which have good aperiodic autocorrelation and cross correlation properties used in Multiple Input Multiple Output radars. The Particle Swarm Optimization Algorithm stabilizes to the solution in considerably lesser computational effort and Hamming Scan Algorithm, used to optimize the result further. The obtained waveform can be implemented in real Multiple Input Multiple Output Radar systems to improve the resolution.

Keywords

MIMO radar; particle swarm optimisation; radar signal processing; MIMO radar; aperiodic autocorrelation; cross correlation; hamming scan algorithm; modified particle swarm optimization algorithm; multiple input multiple output radars; polyphase coding waveforms; polyphase orthogonal waveform; Algorithm design and analysis; Correlation; MIMO radar; Optimization; Particle swarm optimization; Signal processing algorithms; Hamming Scan; MIMO; Modified Particle Swarm Optimizationg Algorithm(MPSO); Ployphase Coding Waveform;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, Computing and Control (ISPCC), 2012 IEEE International Conference on

Conference_Location

Waknaghat Solan

Print_ISBN

978-1-4673-1317-9

Type

conf

DOI

10.1109/ISPCC.2012.6224367

Filename

6224367