Compressive sensing based target detection in delay-doppler radars

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Compressive sensing based target detection in delay-doppler radars [Sikiştirilmiş algilama ile darbe-doppler radar hedef tespiti].pdf (401.84 KB)

Date

2013

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2013 21st Signal Processing and Communications Applications Conference (SIU)

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IEEE

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Turkish

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Conference Paper

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Abstract

Compressive Sensing theory shows that, a sparse signal can be reconstructed from its sub-Nyquist rate random samples. With this property, CS approach has many applications. Radar systems, which deal with sparse signal due to its nature, is one of the important application of CS theory. Even if CS approach is suitable for radar systems, classical detections schemes under Neyman-Pearson formulations may result high probability of false alarm, when CS approach is used, especially if the target has off-grid parameters. In this study, a new detection scheme which enables CS techniques to be used in radar systems is investigated. © 2013 IEEE.

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Compressive sensing, Radar signal processing, Compressive sensing, Detection scheme, High probability, Neyman-pearson, Off-grids, Radar signal processing, Random sample, Sparse signals, Doppler radar, Radar systems, Signal detection, Signal reconstruction

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http://hdl.handle.net/11693/28002

Published Version (Please cite this version)

http://dx.doi.org/10.1109/SIU.2013.6531496

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Scholarly Publications - Electrical and Electronics Engineering