LIU Nan, ZHANG Linrang. Multidimensional Waveform Design for MIMO SAR Interferometry[J]. Chinese Journal of Electronics, 2018, 27(1): 198-205. doi: 10.1049/cje.2017.11.016
Citation: LIU Nan, ZHANG Linrang. Multidimensional Waveform Design for MIMO SAR Interferometry[J]. Chinese Journal of Electronics, 2018, 27(1): 198-205. doi: 10.1049/cje.2017.11.016

Multidimensional Waveform Design for MIMO SAR Interferometry

doi: 10.1049/cje.2017.11.016
Funds:  This work is supported by the National Natural Science Foundation of China (No.61731023, No.61671361).
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  • Corresponding author: ZHANG Linrang (corresponding author) was born in Shaanxi, China. He received the M.S. and Ph.D. degrees from Xidian University in 1991 and 1999, respectively. He is a professor of Xidian University. His research interests include radar signal processing, array signal processing and radar simulation. (Email:lrzhang@xidian.edu.cn)
  • Received Date: 2015-01-28
  • Rev Recd Date: 2017-09-27
  • Publish Date: 2018-01-10
  • One key of Multiple-input multiple-output (MIMO) Synthetic aperture radar (SAR) interferometry is the effective separation of the echoes originating from different transmissions. A multidimensional waveform design method for MIMO SAR interferometry is presented. By exploiting the wavenumber shift and Doppler-band shift phenomenon in the design of transmitted signals, the echo separation can be efficiently accomplished via the filtering operations in range-frequency domain and azimuth-spatial domain. Such waveform design can meet the requirement of MIMO SAR imaging on integrated cross interference level without reduce the swath width. Such waveform design also improves the coherence between the independent observations and enlarges the unambiguity range of height estimation. The results of the numerical simulations demonstrate the feasibility of the proposed waveform design method.
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