An Electromagnetic Target Classification Method for the Target Sets with Alien Target: Application to Small-scale Aircraft Targets

Date

2010-01-01

Author

Secmen, M.
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

48
views

0
downloads

The electromagnetic target classification is a challenging problem since the scattered field from a target is highly dependent on operating frequency, polarization and aspect angle. In order to minimize adverse effects of these dependencies an intelligent classifier containing some distinguishable target features is needed. In addition, in order to be suitable for real target applications, the properties of operating with moderate frequency bandwidth and discriminating an alien target from a target set containing friend targets are important. In this study, an electromagnetic target classification method for isolated targets using noisy data in the classifier design to obtain high accuracy performance in a wider SNR range and having the ability of discrimination of an alien target without any priori information is introduced. The proposed method is mainly based on a late-time resonance region target classification technique, which was reported recently to use the multiple signal classification (MUSIC) algorithm and natural-resonance mechanism modeled by singularity expansion method (SEM) for target feature extraction, and modified for target sets containing alien target(s). The proposed classifier design method is demonstrated and tested for a target set of five friend and one alien small-scale aircraft targets. According to the test result, the proposed method gives high accuracy rates for this target set.

URI

https://hdl.handle.net/11511/55278

Conference Name

Progress in Electromagnetics Research Symposium

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

An accelerated BEM formulation for the forward problem solution of ESI using realistic head models Akalm, Z; Gençer, Nevzat Güneri (2003-09-21) In this study, the forward problem of electrical source imaging (ESI) is solved using the Boundary Element method (BEM) with realistic head models. The realistic model consists of scalp, skull, CSF, brain and eyes. To get more accurate results quadratic elements are used in the meshes-and a new method is proposed for the generation of the quadratic mesh. An accelerated method is proposed for the solution of the potential field.
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 fast model for computing infrared atmospheric background effects Sivaslıgil, Mustafa; Esendemir, Akif; Department of Physics (2006) The infrared atmospheric background modeling can be considered as one of the important key factor to develop a successful target detection technique. During the infrared atmospheric background modeling, defining the input parameters of the atmospheric profile are very important for the calculations of the absorption, emission and scattering effects of the atmosphere. The main objective of this thesis is to find the answer for the question أis it possible to determine the أeffectiveؤ height range for the sea...
A tracker-aware detector threshold optimization formulation for tracking maneuvering targets in clutter Aslan, Murat Samil; Saranlı, Afşar (Elsevier BV, 2011-09-01) In this paper, we consider a tracker-aware radar detector threshold optimization formulation for tracking maneuvering targets in clutter. The formulation results in an online method with improved transient performance. In our earlier works, the problem was considered in the context of the probabilistic data association filter (PDAF) for non-maneuvering targets. In the present study, we extend the ideas in the PDAF formulation to the multiple model (MM) filtering structures which use PDAFs as modules. Althou...
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, “An Electromagnetic Target Classification Method for the Target Sets with Alien Target: Application to Small-scale Aircraft Targets,” presented at the Progress in Electromagnetics Research Symposium, Cambridge, MA, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55278.