A Radar Target Recognition Method with MUSIC Algorithm: Application to Aircraft Targets with Measured Scattered Data

Date

2008-05-30

Author

Secmen, M.
Turhan-Sayan, G.
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 demonstrates the usefulness of an ultra wideband target recognition method in the case of realistic and complicated target geometries at resonance region. The method utilizes the MUSIC algorithm to extract the natural resonance-related scattering features of targets. The resulting features give the power distribution maps of targets. These maps are called as fused MUSIC spectrum matrices and used as the main target recognition feature in the method. The fusion process is needed to reduce the aspect dependency of target features, which increases the accuracy rate of the classifier. In this paper, the method is applied to classify three small-scale aircraft targets. It is demonstrated that the method provides high accurate classification rates although the target geometries are highly complex, the measured scattered data is incomplete and only a few different reference aspects are used in recognition design process.

Subject Keywords

Target recognition, Radar signal processing, Feature extraction

URI

https://hdl.handle.net/11511/52642

Conference Name

2008 IEEE Radar Conference

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

M. Secmen, G. Turhan-Sayan, and G. Sayan, “A Radar Target Recognition Method with MUSIC Algorithm: Application to Aircraft Targets with Measured Scattered Data,” presented at the 2008 IEEE Radar Conference, Rome, ITALY, 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52642.