An ML-Based Radial Velocity Estimation Algorithm for Moving Targets in Spaceborne High-Resolution and Wide-Swath SAR SystemsReport as inadecuate


An ML-Based Radial Velocity Estimation Algorithm for Moving Targets in Spaceborne High-Resolution and Wide-Swath SAR Systems


An ML-Based Radial Velocity Estimation Algorithm for Moving Targets in Spaceborne High-Resolution and Wide-Swath SAR Systems - Download this document for free, or read online. Document in PDF available to download.

1

Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190 China

2

University of the Chinese Academy of Sciences, Beijing 100049, China





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Author to whom correspondence should be addressed.



Academic Editors: Xiaofeng Yang, Xiaofeng Li, Ferdinando Nunziata, Alexis Mouche and Prasad S. Thenkabail

Abstract Multichannel synthetic aperture radar SAR is a significant breakthrough to the inherent limitation between high-resolution and wide-swath HRWS compared with conventional SAR. Moving target indication MTI is an important application of spaceborne HRWS SAR systems. In contrast to previous studies of SAR MTI, the HRWS SAR mainly faces the problem of under-sampled data of each channel, causing single-channel imaging and processing to be infeasible. In this study, the estimation of velocity is equivalent to the estimation of the cone angle according to their relationship. The maximum likelihood ML based algorithm is proposed to estimate the radial velocity in the existence of Doppler ambiguities. After that, the signal reconstruction and compensation for the phase offset caused by radial velocity are processed for a moving target. Finally, the traditional imaging algorithm is applied to obtain a focused moving target image. Experiments are conducted to evaluate the accuracy and effectiveness of the estimator under different signal-to-noise ratios SNR. Furthermore, the performance is analyzed with respect to the motion ship that experiences interference due to different distributions of sea clutter. The results verify that the proposed algorithm is accurate and efficient with low computational complexity. This paper aims at providing a solution to the velocity estimation problem in the future HRWS SAR systems with multiple receive channels. View Full-Text

Keywords: synthetic aperture radar SAR; high-resolution and wide-swath HRWS; velocity estimation; Doppler ambiguities; maximum likelihood ML synthetic aperture radar SAR; high-resolution and wide-swath HRWS; velocity estimation; Doppler ambiguities; maximum likelihood ML





Author: Tingting Jin 1,2, Xiaolan Qiu 1, Donghui Hu 1 and Chibiao Ding 1,*

Source: http://mdpi.com/



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