Ultrawideband Inverse Scattering Method for Resonance Region Target Recognition: Application to Small-Scale Airplane Targets with Measured Data

dc.contributor.author Mustafa Secmen
dc.coverage.spatial Lisbon PORTUGAL
dc.date.accessioned 2025-10-06T16:19:34Z
dc.date.issued 2015
dc.description.abstract This paper develops an inverse scattering method to determine the characteristics of resonance region targets by using ultrawideband scattering signals. The method mainly uses multiple time-domain signals for each target and they are processed to give feature vectors in frequency domain. These vectors contain target-specific information related with characteristics (dimensions of substructures material properties etc.) of the known targets. The target recognition is employed by using test (unknown) target's scattering signal. This time-domain signal is processed in an inverse way to get a frequency-domain test vector. Then the characteristics of test target are assigned as these of one of the known targets with a basic template-matching approach between test vector and feature vectors of these targets. The method is demonstrated for three realistic small-scale airplane. For an ultrawideband system of 0.7-18 GHz more than 85 percent accuracy has been obtained even under moderate signal-to-noise (SNR) ratio of about 10 dB.
dc.identifier.isbn 978-8-8907-0185-6
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/5897
dc.language.iso English
dc.publisher IEEE
dc.relation.ispartof 9th European Conference on Antennas and Propagation EuCAP
dc.source 2015 9th European Conference on Antennas and Propagation (EuCAP)
dc.subject ultrawideband, inverse scattering, radar signal processing, resonance region
dc.subject IDENTIFICATION
dc.title Ultrawideband Inverse Scattering Method for Resonance Region Target Recognition: Application to Small-Scale Airplane Targets with Measured Data
dc.type Conference Object
dspace.entity.type Publication
gdc.coar.type text::conference output
gdc.index.type WoS
person.identifier.orcid SECMEN- Mustafa/0000-0002-7656-4051
relation.isOrgUnitOfPublication ac5ddece-c76d-476d-ab30-e4d3029dee37
relation.isOrgUnitOfPublication.latestForDiscovery ac5ddece-c76d-476d-ab30-e4d3029dee37

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