LIU Feng, MU Shanxiang, LYU Wanghan, LI Wenliang, GE Ting. MIMO SAR Waveform Separation Based on Costas-LFM Signal and Co-arrays for Maritime Surveillance[J]. Chinese Journal of Electronics, 2017, 26(1): 211-217. doi: 10.1049/cje.2016.11.015
Citation: LIU Feng, MU Shanxiang, LYU Wanghan, LI Wenliang, GE Ting. MIMO SAR Waveform Separation Based on Costas-LFM Signal and Co-arrays for Maritime Surveillance[J]. Chinese Journal of Electronics, 2017, 26(1): 211-217. doi: 10.1049/cje.2016.11.015

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

doi: 10.1049/cje.2016.11.015
Funds:  This work is supported by the Chinese Defense Advance Research Program of Science and Technology of China (No.403040101).
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  • Corresponding author: MU Shanxiang (corresponding author) received the Ph.D. degree in electronic engineering from Nanjing University of Science and Technology. He is working as a professor of the same University. His research interests include the theory and system technology of phased array and high resolution radar and imaging technology. (Email:abcmsx@163.com)
  • Received Date: 2015-10-10
  • Rev Recd Date: 2016-07-29
  • Publish Date: 2017-01-10
  • 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 Inter-pulse 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 co-arrays images is proposed to suppress the cross-correlation noise. MIMO-Cop SAR can effectively suppress the cross-correlation 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.
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