Interference Coexisting SAR Imaging: A Joint Sparse Recovery and Waveform Design Method

Interference Coexisting SAR Imaging: A Joint Sparse Recovery and Waveform Design Method

In this paper, we design a compatible waveform for the purpose of high-quality synthetic aperture radar (SAR) imaging in conjunction with sparse recovery methods for image formation. Namely, we consider minimizing the mutual inter-ference between our radar and coexisting licensed emitters and also m...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems Vol. 59; no. 6; pp. 1 - 11
Main Authors: Keyhani, Erfan, Karbasi, Seyed Mohammad
Format: Journal Article
Language:English
Published: New York IEEE 01-12-2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
alternating direction method of multipliers (ADMM)
Design techniques
Effectiveness
Emitters
Frequencies
History
Image quality
Imaging
Interference
Interpolation
Iterative methods
Jamming
optimization
Peak to average power ratio
Radar
Radar imaging
Radar polarimetry
Recovery
Sampled data
SAR imaging
Synthetic aperture radar
Waveform design
Waveforms
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Description
Summary:In this paper, we design a compatible waveform for the purpose of high-quality synthetic aperture radar (SAR) imaging in conjunction with sparse recovery methods for image formation. Namely, we consider minimizing the mutual inter-ference between our radar and coexisting licensed emitters and also minimizing the jamming signal power while enforcing some constraints over the waveform features like peak-to-average-power ratio (PAPR). We introduce a new constraint to our proposed optimization problem and show its effectiveness. By nulling some frequency bands in the optimized waveform due to the interference sources (licensed or unlicensed), our sampled data in the frequency domain, which makes the phase history data for SAR imagery, becomes random in some sense. These randomly sampled data of the phase history encourages us to use the compressive sensing (CS)-based methods for image formation. The high quality of the formed image via CS-based method comes at the cost of high computational effort. To reduce the inherent complexity of the CS-based method, we try to make the interpolation part in each iteration of the algorithm faster by using the Farrow filter concept. The simulation results show the effectiveness of the waveform design method on the final image quality in the presence of interference.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2023.3308558