Abstract
To reduce the amount of data to be stored and software/hardware complexity and suppress range ambiguity, a novel MIMO SAR imaging based on compressed sensing is proposed under the condition of wide-swath imaging. Random phase orthogonal waveform (RPOW) is designed for MIMO SAR based on compressed sensing (CS). Echo model of sparse array in range and compressive sampling is reconstructed with CS theory. Resolution in range imaging is improved by using the techniques of digital beamforming (DBF) in transmit. Zero-point technique based on CS is proposed with DBF in receive and the range ambiguity is suppressed effectively. Comprehensive numerical simulation examples are performed. Its validity and practicality are validated by simulations.
Highlights
Synthetic aperture radar (SAR) has been widely used in remote sensing imaging technology
The range ambiguity is existing because multiple-input and multiple-output (MIMO) SAR antenna patterns are wider than swath, and the external signals can be received with useful echoes
A MIMO SAR imaging based on compressed sensing is proposed in this paper to reduce the amount of data and suppress the range ambiguity
Summary
Synthetic aperture radar (SAR) has been widely used in remote sensing imaging technology. The challenge of large amount of data is the common character of the above methods To solve this problem, compressed sensing technology is used in SAR imaging [7,8,9]. In addition to solving the problem of large amount of data, waveform design is the key technology to achieve MIMO SAR imaging [1, 12, 13]. The proposed waveform has only changed the initial frequency and phase of the LFM signal, so the complexity of the transmitted signal is reduced to meet the requirements of MIMO SAR imaging. Using this waveform, a new MIMO SAR imaging for sparse receive array in range based on CS is proposed.
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