Optimization of discrete frequency coding waveform for MIMO radar using Modified Ant Colony Optimization algorithm

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...

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Bibliographic Details
Published in2014 First International Conference on Networks & Soft Computing (ICNSC2014) pp. 15 - 19
Main Authors Reddy, B. Roja, Uttarakumari, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2014
Subjects
Artificial neural networks
Decision support systems
Discrete Frequency Waveforms (DFCW)
Hafnium
Hamming Scan
Handheld computers
Modified Ant Colony Optimization (M_ACO) algorithm
Multiple Input and Multiple Output (MIMO)
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DOI10.1109/CNSC.2014.6906667

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Summary: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.
DOI:10.1109/CNSC.2014.6906667