Compressed Sensing with Interleaving Slow-Time Pulses and Hybrid Sparse Image Reconstruction

Forfatter
Akhtar, Jabran
Torvik, Børge
Olsen, Karl Erik
Publisert
2017
Emneord
Dopplerradar
Radar
Permalenke
http://hdl.handle.net/20.500.12242/623
https://ffi-publikasjoner.archive.knowledgearc.net/handle/20.500.12242/623
DOI
10.1109/RADAR.2017.7944161
Samling
Articles
Description
Akhtar, Jabran; Torvik, Børge; Olsen, Karl Erik. Compressed Sensing with Interleaving Slow-Time Pulses and Hybrid Sparse Image Reconstruction. IEEE Radar Conference. Proceedings 2017 s. 8-12
1471014.pdf
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Sammendrag
This paper explores a type of hybrid sparse reconstruction technique for modern multifunction task scheduling radars and on following range-Doppler plots. A compressed sensing (CS) framework is devised to emit and then receive interleaved radar pulses in a scarce manner within a coherent processing interval. Sparse reconstruction methods are subsequently employed to regenerate full resolution range-Doppler images. Hybrid reconstructed solutions are finally formed by merging acquired data with sparsely recovered solutions. We show that this is essential for obtaining robust results in the presence of noisy environments and to measure outcomes on equal terms. Real data obtained from an experimental radar observing a Boeing 737 aircraft is employed to demonstrate the practical effectiveness of CS and hybrid sparse reconstruction.
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