A novel electromagnetic target recognition method by MUSIC algorithm

Date

2006-12-01

Author

Secmen, Mustafa
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

175
views

0
downloads

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 efficient way. Details of the theoretical background, the classifier design process and the demonstrations for conducting and dielectric spherical targets are presented in the following sections

Subject Keywords

Target recognition, Algorithm design and analysis, Electromagnetic scaring , Multiple signal classification, Classification algorithms, Data mining, Resonance, Ultra wideband technology, Signal to noise ratio, Signal design

URI

https://hdl.handle.net/11511/57003

DOI

https://doi.org/10.1109/aps.2006.1710782

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

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 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...
The MUSIC algorithm-based electromagnetic target classification for isolated targets from incomplete frequency domain data Secmen, Mustafa; Sayan, Gönül (2007-06-15) 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 wir...
A novel music algorithm based electromagnetic target recognition method in resonance region for the classification of single and multiple targets Seçmen, Mustafa; Sayan, Gönül; Department of Electrical and Electronics Engineering (2008) 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-res...
A Radar Target Recognition Method with MUSIC Algorithm: Application to Aircraft Targets with Measured Scattered Data Secmen, M.; Turhan-Sayan, G.; Sayan, Gönül (2008-05-30) 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 aspe...

Citation Formats

M. Secmen and G. Sayan, “A novel electromagnetic target recognition method by MUSIC algorithm,” 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/57003.