NDLI: Multiple input and multiple output synthetic aperture radar multiple waveform separation based on oblique projection in same frequency coverage

Content Provider	IET Digital Library
Author	Meng, Cang Zhen Xu, Jia Liu, Feng Long, Teng Yang, Jian Peng, Ying Ning
Abstract	In multiple input and multiple output synthetic aperture radar (MIMO-SAR) the unwanted cross-correlation output sexist inevitably in the superposed echoes of multiple transmitted orthogonal waveforms in the same frequency coverage, which may deteriorate the quality of the reconstructed SAR image because of the high synthetic integrated sidelobe level (SISL). In this study, a novel signal decomposition based on oblique projection (SDOP) method is proposed to suppress the cross-correlation outputs. At first, the superposed echo of each receiver is modelled as a linear-combined vector of transmitted multiple waveforms. Then, the echo of each transmitted waveform is obtained by signal decomposition on the combined vector via SDOP, respectively. Besides, two new metrics, that is, synthetics integrated sidelobe level ratio improved factor and integrated sidelobe level ratio loss factor, are also proposed to assess the separation performance. It is found that the cross-correlation can be effectively suppressed among multiple waveforms via low-complexity projection operators and the output signal noise ratio can be remarkably improved, accordingly. Finally, the numerical experiments are also provided to demonstrate the effectiveness of the proposed method.
Starting Page	1088
Ending Page	1096
Page Count	9
ISSN	17518784
Volume Number	9
e-ISSN	17518792
Issue Number	Issue 8, Oct (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/9/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2014.0197
Journal	IET Radar, Sonar & Navigation
Publisher Date	2015-05-27
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cross-correlation Outputs Frequency Coverage Image Reconstruction Linear-combined Vector Low-complexity Projection MIMO Radar MIMO-SAR Multiple Input And Multiple Output Synthetic Aperture Radar Multiple Waveform Separation Oblique Projection Optical, Image And Video Signal Processing Radar Equipment Radar Imaging Reconstructed SAR Image SDOP Signal Decomposition Signal Decomposition Based on Oblique Projection Method Signal Noise Ratio Synthetic Aperture Radar Synthetic Integrated Sidelobe Level System And Application Transmitted Orthogonal Waveform
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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