Radar target recognition using one-dimensional evolutionary programming-based clean
SCIE
SCOPUS
- Title
- Radar target recognition using one-dimensional evolutionary programming-based clean
- Authors
- Choi, IS; Seo, DK; Bang, JK; Kim, HT; Rothwell, EJ
- Date Issued
- 2003-01
- Publisher
- VSP BV
- Abstract
- In this work, we present a method for radar target recognition using an one-dimensional (1-D) evolutionary programming-based CLEAN. This I-D scattering center extraction method relies upon evolutionary programming and an undamped exponential model. It is accurate, robust and fast. Moreover, it is free from the resolution problems that arise in FFT-based CLEAN. Unlike with model-based techniques, the accuracy of extracted parameters is unaffected by false estimation of the number of scattering centers. Experimental results show that the 1-D evolutionary programming-based CLEAN algorithm can be successfully applied to radar target recognition with correlation-based approaches to reduce data storage, as well as with neural network-based approaches to efficiently extract feature vectors.
- Keywords
- SCATTERING CENTER ANALYSIS; REDUCED DATA-STORAGE; NEURAL NETWORKS; CLASSIFICATION; SCHEME; SIGNALS
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/18450
- DOI
- 10.1163/156939303322226464
- ISSN
- 0920-5071
- Article Type
- Article
- Citation
- JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS, vol. 17, no. 5, page. 763 - 784, 2003-01
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.