A novel music algorithm based electromagnetic target recognition method in resonance region for the classification of single and multiple targets

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2008

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Seçmen, Mustafa

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This thesis presents a novel aspect and polarization invariant electromagnetic target recognition technique in resonance region based on use of MUSIC algorithm for the extraction of natural-resonance related target features. In the suggested method, the feature patterns called “MUSIC Spectrum Matrices (MSMs)” are constructed for each candidate target at each reference aspect angle using targets’ scattered data at different late-time intervals. These individual MSMs correspond to maps of targets’ natural-resonance related power distributions. All these patterns are first used to obtain optimal late-time interval for classifier design and a “Fused MUSIC Spectrum Matrix (FMSM)” is generated over this interval for each target by superposing MSMs. The resulting FMSMs include more complete information for target resonances and are almost insensitive to aspect and polarization. In case of multiple target recognition, the relative locations of a multi-target group and separation distance between targets are also important factors. Therefore, MSM features are computed for each multi-target group at each “reference aspect/topology” combination to determine the optimum late-time interval. The FMSM feature of a given multi-target group is obtained by the superposition of all these aspect and topology dependent MSMs. In both single and multiple target recognition cases, the resulting FMSM power patterns are main target features of the designed classifier to be used during real-time decisions. At decision phase, the unknown test target is classified either as one of the candidate targets or as an alien target by comparing correlation coefficients computed between MSM of test signal and FMSM of each candidate target.

Subject Keywords

Electrical engineering., Feature extraction.

URI

http://etd.lib.metu.edu.tr/upload/2/12609306/index.pdf
https://hdl.handle.net/11511/17557

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

M. Seçmen, “A novel music algorithm based electromagnetic target recognition method in resonance region for the classification of single and multiple targets,” Ph.D. - Doctoral Program, Middle East Technical University, 2008.