A root-music algorithm for high resolution ISAR imaging
| Autor: | B S Shruthi, R Rajesh, Avinash Ravi Koushik, Reena Sharma |
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| Rok vydání: | 2016 |
| Předmět: |
Computer science
Fast Fourier transform Bandwidth (signal processing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies Rotation around a fixed axis 020206 networking & telecommunications 02 engineering and technology Azimuth Inverse synthetic aperture radar symbols.namesake Radar imaging 0202 electrical engineering electronic engineering information engineering symbols Doppler effect Image resolution Algorithm 021101 geological & geomatics engineering |
| Zdroj: | 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). |
| Popis: | Inverse Synthetic Aperture Radar (ISAR) is used to image objects such as aircrafts and ships by the virtue of their rotation. The high resolution in range is obtained by large bandwidth pulses and similarly in the azimuth, by the rotational motion of the object. The rotational motion produces a Doppler shift, measured by the phase shift produced on a sequence of coherent pulses. Hence the azimuth resolution is determined by the Doppler discrimination using spectral analysis. In this paper, we propose an analysis technique for classification of ships, based on root-Multiple Signal Classification (MUSIC) algorithm, which betters the performance provided by the conventional Fast Fourier Transform (FFT) technique for ISAR imaging. This technique belongs to a class of super-resolution algorithms which also provides a resolution improved target classification. |
| Databáze: | OpenAIRE |
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