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Content Provider | IEEE Xplore Digital Library |
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Author | Reddy, B.R. Uttarakumari, M. |
Copyright Year | 2014 |
Description | Author affiliation: Dept. of Telecommun. Eng., R.V. Coll. of Eng., Bangalore, India (Reddy, B.R.) || Dept. of Electron. & Commun. Eng., R.V. Coll. of Eng., Bangalore, India (Uttarakumari, M.) |
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. |
Starting Page | 15 |
Ending Page | 19 |
File Size | 334004 |
Page Count | 5 |
File Format | |
e-ISBN | 9781479934867 |
DOI | 10.1109/CNSC.2014.6906667 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-08-19 |
Publisher Place | India |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Decision support systems Handheld computers Discrete Frequency Waveforms (DFCW) Modified Ant Colony Optimization (M_ACO) algorithm Artificial neural networks Hafnium Hamming Scan Multiple Input and Multiple Output (MIMO) |
Content Type | Text |
Resource Type | Article |
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