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

Metadata

Show full item record

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

Item Usage Stats

237
views

0
downloads

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

Suggestions

OpenMETU
Core

A novel method for electromagnetic target classification using the music algorithm: Applied to small-scale aircraft targets Secmen, Mustafa; Sayan, Gönül (2006-01-01) This paper introduces a novel target classification method based on the extraction of target features by using natural response related late-time electromagnetic scattered field data. In the feature extraction stage, the use of multiple signal classification (MUSIC) algorithm together with a simple but effective feature fusion approach leads to a significant reduction in the sensitivity of classification accuracy to both aspect angle variations and the signal-to-noise ratio (SNR) levels of the data. Another...
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...
A new electromagnetic target classification method with MUSIC algorithm Secmen, Mustafa; Sayan, Gönül (2006-01-01) 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 method is mainly based on the usage of MUSIC spectra obtained from electromagnetic scattered data as the target features. This approach achieves very high accuracy rates even at very low signal-to-noise ratio (SNR) values although it needs scattered data for ...
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...
Electromagnetic target classification of small-scale aircraft modeled by conducting wire structures using a natural resonance based feature extraction technique Ersoy, Mehmet Okan; Sayan, Gönül (2005-12-01) The problem studied in this paper is the design of an electromagnetic target classifier for small-scale aircraft targets by using a natural resonance based feature extraction technique supported by feature fusion. The aircraft targets are modeled by perfectly conducting straight thin wire structures and the electromagnetic fields back-scattered from targets are numerically generated. This technique uses the Wigner-Ville distribution (WD) and the principal component analysis (PCA). The technique is applied t...

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.