Optimization of discrete frequency coding 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

19-20 Aug. 2014

Firstpage

15

Lastpage

19

Abstract

In this paper, Modified Ant Colony Optimization (M_ACO) algorithm is proposed to optimize the modified Discrete Frequency Coding Waveform (DFCW) sequence sets in lesser computation time. The sequence sets are optimized to generate orthogonal DFCW code sets. M_ACO algorithm is the 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 modified DFCW code set sequences generated using M_ACO shows better results than other optimization algorithms known in the literature. The orthogonally optimized modified DFCW code set sequences are promising for practical application to netted radar and MIMO radar systems.

Keywords

MIMO radar; ant colony optimisation; orthogonal codes; Hamming scan algorithm; MIMO radar; M_ACO algorithm; discrete frequency coding waveform; modified ant colony optimization; orthogonal DFCW code set sequences; Artificial neural networks; Decision support systems; Hafnium; Handheld computers; Discrete Frequency Waveforms (DFCW); Hamming Scan; Modified Ant Colony Optimization (M_ACO) algorithm; Multiple Input and Multiple Output (MIMO);

fLanguage

English

Publisher

ieee

Conference_Titel

Networks & Soft Computing (ICNSC), 2014 First International Conference on

Conference_Location

Guntur

Print_ISBN

978-1-4799-3485-0

Type

conf

DOI

10.1109/CNSC.2014.6906667

Filename

6906667