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Array Signal Processing for Synthetic Aperture Radar (SAR)

Liu, Qifeng (2018) Array Signal Processing for Synthetic Aperture Radar (SAR). MPhil thesis, University of Sheffield.

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Abstract

Synthetic aperture radar (SAR) is a kind of imaging radar that can produce high resolution images of targets and terrain on the ground. At present, most of SAR processing algorithms are based on matched filtering. This method is easy to implement and can produce stable results. However, It also has some limitations. This approach must obey the Nyquist sampling theorem and the resolution depends on bandwidth of pulses. This means that the matched filter approach must be based on a large amount of raw data but the performance is limited. With the development of radar imaging, it is difficult for the matched filtering approach to meet the requirement of high resolution SAR images. In this thesis, a new processing method based on the least squares (LS) beamforming is utilized in the processing of SAR raw data. The model of SAR simulates a virtual linear array. The processing of SAR data can also be seen as a process of beamforming. The 1- D azimuth direction echo data is processed using the beamforming method. Simulation results based on the least squares design method are compared with the matched filtering method and the conventional beamforming method with different windows.

Item Type: Thesis (MPhil)
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Electronic and Electrical Engineering (Sheffield)
Depositing User: Mr Qifeng Liu
Date Deposited: 17 Dec 2018 10:29
Last Modified: 17 Dec 2018 10:29
URI: http://etheses.whiterose.ac.uk/id/eprint/22411

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