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For the development of radar systems with enhanced performance in target detecting and tracking abilities, various research groups have been investigating multiple input multiple output (MIMO) based radar systems. They have shown that MIMO radars perform better compared to conventional systems like bistatic or even SIMO radars. Especially MIMO capitalizes several diversity parameters inherent to its...
Synthetic aperture radar (SAR) based automatic target recognition (ATR), has been one of the demanding usages of airborne radar systems. With the developments in the field of hardware, more complicated radar systems can be deployed on aerial platforms. This opens the possibility of using different advanced versions of radar systems, like multi-band radars, multi-polar radars and multi-static radars...
Principal component analysis (PCA) has been used in many applications ranging from social science to space science, for the purpose of data compression and feature extraction. Usage of PCA for synthetic aperture radar (SAR) image classification, have recently been exploited by the automatic target recognition (ATR) community. PCA can be used in one dimensional as well as two dimensional mode. These...
Both principal component analysis (PCA) and linear discriminant analysis (LDA) have long been recognized as tools for feature extraction and data analysis. There has been reports in the open literature regarding the performance of both LDA and PCA as feature extractors in various types of classification and recognition problems. Many of the reports claim a better performance with LDA than with PCA...
With the present revival of interest in bistatic radar systems, research in that area has gained momentum. Given some of the strategic advantages for a bistatic configuration, and technological advances in the past few years, large-scale implementation of the bistatic systems is a scope for the near future. If the bistatic systems are to replace the monostatic systems (at least partially), then all...
Principal component analysis (PCA) has been used in many applications ranging from social science to space science, for the purpose of data compression and feature extraction. Usage of PCA for synthetic aperture radar (SAR) image classification, though widely reported by remote-sensing researchers, has not been exploited much by automatic target recognition (ATR) community. In the present paper, PCA...
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