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- Title
Application of Immune Clonal Selection Algorithm in Time-Frequency Atom Decomposition for Radar Signals.
- Authors
HU Xinlei; ZHANG Guoyi; TIAN Runlan
- Abstract
In view of high computational complexity in traditional time-frequency atom decomposition of radar signals, a fast decomposition method based on immune clonal selection algorithm is proposed. Firstly, Chirplet atom dictionary is divided into small atom dictionaries. Then, the best atom is concurrently searched in every small atom dictionary and the searching process is built as an optimization problem, which is solved through cloning, mutation, memory and substitution in immune clonal selection algorithm. Finally, the best atom in every small atom dictionary is compared and the most similar atom is selected as the best decomposition atom. Simulation indicates that this method can extract the feature of signals through few atoms and it decreases the computational time while effectively suppressing noise and time-frequency cross-terms.
- Publication
Telecommunication Engineering, 2015, Vol 55, Issue 7, p779
- ISSN
1001-893X
- Publication type
Article
- DOI
10.3969/j.issn.1001-893x.2015.07.013