Open AccessMIMO SAR Waveform Separation Based on Costas‐LFM Signal and Co‐arrays for Maritime Surveillance
Author(s) -
Liu Feng,
Mu Shanxiang,
Lyu Wanghan,
Li Wenliang,
Ge Ting
Publication year - 2017
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2016.11.015
Subject(s) - waveform , mimo , signal (programming language) , separation (statistics) , computer science , remote sensing , acoustics , electronic engineering , environmental science , geology , telecommunications , physics , radar , engineering , channel (broadcasting) , machine learning , programming language
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.