The MUSIC algorithm-based electromagnetic target classification for isolated targets from incomplete frequency domain data

Date

2007-06-15

Author

Secmen, Mustafa
Sayan, Gönül

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This paper investigates the performance of a new electromagnetic target classification method to recognize isolated targets in the presence of scattered frequency domain data which may be severely incomplete at low frequencies. The suggested method utilizes multiple signal classification (MUSIC) algorithm to construct approximate pole location maps of the targets without determining the exact pole values. In this work, this method is validated for small-scale aircraft targets modeled by thin, conducting wires with incomplete data, which brings additional difficulty in target classification problems. It is shown that the method provides high accurate classification rates even when incomplete frequency domain data with low signal-to-noise ratio values are utilized while it needs only a few different reference aspects and small memory storage in classifier design.

Subject Keywords

Classification algorithms, Wires, Multiple signal classification, Frequency domain analysis, Radar scattering, Electromagnetic scattering, Polarization, Target recognition, Signal to noise ratio, Aircraft manufacture

URI

https://hdl.handle.net/11511/37586

DOI

https://doi.org/10.1109/aps.2007.4396568

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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A novel electromagnetic target recognition method by MUSIC algorithm Secmen, Mustafa; Sayan, Gönül (2006-12-01) This paper introduces a novel method for aspect invariant electromagnetic target recognition based on the use of multiple signal classification (MUSIC) algorithm to extract late-time resonant target features from the ultra-wideband scattered data. This approach achieves very high accuracy rates even at very low signal-to-noise ratio (SNR) values although it needs scattered data for classifier design at only a few different aspects and makes use of the MUSIC algorithm in a simple and computationally efficien...
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A Resonance Region Method for Recognition of Multiple Targets Using the MUSIC Algorithm and a Time Correlation Technique Secmen, Mustafa; Ekmekci, Evren; Sayan, Gönül (2008-07-11) This paper presents, for the first time in literature, a natural resonance based electromagnetic target classification method that is useful not only for single target recognition but also for the recognition of multiple targets. In this method, the scattered wide-band electromagnetic signals are processed over an optimal late-time region by using the MUSIC algorithm to extract target features called fused MUSIC spectrum matrices (FMSM). These features are almost invariant to aspect variations and to the va...

Citation Formats

M. Secmen and G. Sayan, “The MUSIC algorithm-based electromagnetic target classification for isolated targets from incomplete frequency domain data,” 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/37586.