Compressive sensing-based robust off-the-grid stretch processing

Date
2017
Advisor
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Co-Advisor
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Instructor
Source Title
IET Radar, Sonar and Navigation
Print ISSN
1751-8784
Electronic ISSN
Publisher
Institution of Engineering and Technology
Volume
11
Issue
11
Pages
1730 - 1735
Language
English
Type
Article
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Volume Title
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Abstract

Classical stretch processing (SP) obtains high range resolution by compressing large bandwidth signals with narrowband receivers using lower rate analogue-to-digital converters. SP achieves the resolution of the large bandwidth signal by focusing into a limited range window, and by deramping in the analogue domain. SP offers moderate data rate for signal processing for high bandwidth waveforms. Furthermore, if the scene in the examined window is sparse, compressive sensing (CS)-based techniques have the potential to further decrease the required number of measurements. However, CS-based reconstructions are highly affected by model mismatches such as targets that are off-the-grid. This study proposes a sparsity-based iterative parameter perturbation technique for SP that is robust to targets off-the-grid in range or Doppler. The error between reconstructed and actual scenes is measured using Earth mover's distance metric. Performance analyses of the proposed technique are compared with classical CS and SP techniques in terms of data rate, resolution and signal-to-noise ratio. It is shown through simulations that the proposed technique offers robust and high-resolution reconstructions for the same data rate compared with both classical SP- and CS-based techniques.

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Keywords
Analog to digital conversion, Bandwidth, Iterative methods, Perturbation techniques, Repair, Signal processing, Signal to noise ratio, Compressive sensing, Earth Mover's distance, High range resolution, High-resolution reconstruction, Parameter perturbation, Performance analysis, Stretch processing, Compressed sensing
Citation
Published Version (Please cite this version)