Forward scattering radar (FSR) is a special mode of bistatic radar that can be used for target detection and classification. FSR offer a number of interesting features such as: relatively simple hardware; an enhanced target radar cross section (compared to traditional radar); a long coherent interval of the receiving signal; robustness to stealth technology and possible operation using non-cooperative transmitters. This thesis is dedicated to the experimental study of the feasibility of FSR and its application for automatic ground target classification. It introduces the radar system itself, fundamental theoretical analysis, target recognition algorithm and the targets' classification subsystem. For target recognition, the effect of Shadow Inverse Synthetic Aperture Radar (SISAR) is used. The overall classification system is described, this includes the extraction of features from the radar measurements, and the use of Fourier Transform and Principal Component Analysis (PCA) to transform these features prior to using the K-Nearest Neighbours (KNN) classifier. By analysing 917 experimentally obtained vehicle signatures, the performance of the system is experimentally evaluated and the effectiveness of the system is confirmed. The limitations of the work and its future direction are also discussed.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:442611 |
| Date | January 2007 |
| Creators | Raja, Abdullah Raja Syamsul Azmir |
| Publisher | University of Birmingham |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
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