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Sensors 2015, 15(6), 14397-14414; doi:10.3390/s150614397

Forward Looking Radar Imaging by Truncated Singular Value Decomposition and Its Application for Adverse Weather Aircraft Landing

School of Electronic Engineering, University of Electronic Science and Technology of China, 2006 Xiyuan Road, Gaoxin Western District, Chengdu 611731, China
These authors contributed equally to this work.
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Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 16 May 2015 / Revised: 10 June 2015 / Accepted: 15 June 2015 / Published: 18 June 2015
(This article belongs to the Section Remote Sensors)
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Abstract

The forward looking radar imaging task is a practical and challenging problem for adverse weather aircraft landing industry. Deconvolution method can realize the forward looking imaging but it often leads to the noise amplification in the radar image. In this paper, a forward looking radar imaging based on deconvolution method is presented for adverse weather aircraft landing. We first present the theoretical background of forward looking radar imaging task and its application for aircraft landing. Then, we convert the forward looking radar imaging task into a corresponding deconvolution problem, which is solved in the framework of algebraic theory using truncated singular decomposition method. The key issue regarding the selecting of the truncated parameter is addressed using generalized cross validation approach. Simulation and experimental results demonstrate that the proposed method is effective in achieving angular resolution enhancement with suppressing the noise amplification in forward looking radar imaging. View Full-Text
Keywords: aircraft landing; radar imaging; truncated singular value decomposition; deconvolution aircraft landing; radar imaging; truncated singular value decomposition; deconvolution
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Huang, Y.; Zha, Y.; Wang, Y.; Yang, J. Forward Looking Radar Imaging by Truncated Singular Value Decomposition and Its Application for Adverse Weather Aircraft Landing. Sensors 2015, 15, 14397-14414.

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