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The Super Resolution Algorithm Based on Attributed Scattering Model Using Multi-Band and Multi-Angle Signals
Seyedin, Mohammad Bagher | 2022
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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 55520 (05)
- University: Sharif University of Technology
- Department: Electrical Engineering
- Advisor(s): Karbasi, Mohammad
- Abstract:
- The resolution is one of the most essential factors in radar imaging. The range and cross-range resolution are inversely proportional to the radar bandwidth and the angular width, respectively. Increasing the bandwidth requires upgrading the hardware of radars and the cost of this procedure is high. Also, to increase the angular width, we need more time to scan the scene from different angles but due to reasons such as movements of targets in the scene, it is unachievable.According to these limitations, we can utilize some signal processing techniques to Improve the radar resolution. Super resolution algorithms are the common approaches to achieving this goal. In this research, we proposed a super resolution algorithm to improve the resolution using sparse representation of multi-angle radar data. Also, radars can operate in different subbands and there is no restriction.Based on Attributed Scattering Model (ASM), there are many model parameters in 2D imaging. Hence, the computational complexity of the 2D sparse imaging is very high. To reduce complexity, we converted the 2D sparse problem into several 1D sparse problems. Then, by combining the 1D results in the Range-Angle Diagram (RAD), we did not need the phase coherent processing and by solving an optimization on RAD curves, we extracted 2D location of scatterers and then some features. Using this approach that was named RAD algorithm, we were able to detect scatterers in low resolution, especially in cross-range direction, and also we observed its results.
- Keywords:
- Coherent Processing ; Sparse Representation ; Super-Resolution ; Attributed Scattering Model (ASM) ; Multi-Angle Signals ; Multiband Signals
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