NDLI: MIMO SAR Waveform Separation Based on Costas-LFM Signal and Co-arrays for Maritime Surveillance

Content Provider	IET Digital Library
Author	Liu, Feng Mu, Shanxiang Lyu, Wanghan Li, Wenliang Ge, Ting
Abstract	In case of bright targets over a dark background, the cross-correlation noise of Multiple input and multiple output (MIMO) Synthetic aperture radar (SAR) orthogonal waveforms in the same frequency coverage will increase which can degrade the image. An Interpulse Costas hopping and intra-pulse Slope coded linearly frequency modulated (IPC-SCLFM) waveform is designed and analyzed to decrease the autocorrelation and cross-correlation noise. Besides a novel acquisition mode of “MIMO Coprime SAR” (MIMO-Cop SAR) is proposed with Coprime arrays (Co-arrays) in receive across the SAR line of flight based on digital beamforming. An improved processing by multiplying values at each pixel of two coarrays images is proposed to suppress the cross-correlation noise. MIMO-Cop SAR can effectively suppress the crosscorrelation noise, reduce the amount of data to be stored and get high signal-to-noise ratio in a simple way. The effectiveness of MIMO-Cop SAR for maritime surveillance is demonstrated by the simulation experiments.
Starting Page	211
Ending Page	217
Page Count	7
ISSN	10224653
Volume Number	26
e-ISSN	20755597
Issue Number	Issue 1, Jan (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/26/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2016.11.015
Journal	Chinese Journal of Electronics
Publisher Date	2017-01-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Autocorrelation Noise Coarrays Costas-LFM Signal Cross Correlation Noise Cross-correlation Noise Interpulse Costas Intrapulse Slope Coded Linearly Frequency Modulated IPC-SCLFM Waveform Marine Radar Maritime Surveillance MIMO Radar MIMO SAR Waveform Separation MIMO Synthetic Aperture Radar MIMO-Cop SAR Multiple Input And Multiple Output Radar Equipment Radar Signal Processing SAR Orthogonal Waveform Signal Processing And Detection Signal to Noise Ratio Synthetic Aperture Radar System And Application Television And Video Equipment Video Surveillance
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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