Design of orthogonal waveform for MIMO radar using Modified Ant Colony Optimization Algorithm

Author

Reddy, B. Roja ; Uttarakumari, M.

Author_Institution

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

fYear

2014

fDate

24-27 Sept. 2014

Firstpage

2554

Lastpage

2559

Abstract

A Modified Ant Colony Optimization Algorithm (M_ACO) is promoted to design orthogonal polyphase waveforms for MIMO with good autocorrelation and crosscorrelation properties in lesser computational time. M_ACO algorithm is combination of Ant Colony Optimization (ACO) and Hamming Scan algorithm. This algorithm is a graph based approach to find the best optimized sequence. The simulation of the orthogonally optimized polyphase code set sequences generated using M_ACO shows better results than other optimization algorithms known in the literature.

Keywords

MIMO communication; ant colony optimisation; graph theory; M ACO algorithm; MIMO radar; graph based approach; hamming scan algorithm; modified ant colony optimization algorithm; multiple input and multiple output radar; orthogonal polyphase waveform design; orthogonally optimized polyphase code set sequences; Algorithm design and analysis; Ant colony optimization; Correlation; Cost function; MIMO radar; Signal resolution; Hamming Scan; Modified Ant Colony Optimization (M_ACO) algorithm; Multiple Input and Multiple Output (MIMO); Polyphase Waveforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on

Conference_Location

New Delhi

Print_ISBN

978-1-4799-3078-4

Type

conf

DOI

10.1109/ICACCI.2014.6968344

Filename

6968344