Articles | Volume 15
https://doi.org/10.5194/ars-15-69-2017
https://doi.org/10.5194/ars-15-69-2017
21 Sep 2017
 | 21 Sep 2017

Sparse representation discretization errors in multi-sensor radar target motion estimation

Hossein Azodi, Uwe Siart, and Thomas F. Eibert

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Cited articles

Anitori, L., Maleki, A., Otten, M., Baraniuk, R., and Hoogeboom, P.: Design and Analysis of Compressed Sensing Radar Detectors, IEEE T. Signal Proces., 61, 813–827, 2013.
Azodi, H., Siart, U., and Eibert, T.: A Fast Three-Dimensional Deterministic Ray Tracing Coverage Simulator for a 24 GHz Anti-Collision Radar, Adv. Radio Sci., 11, 55–60, 2013.
Azodi, H., Wächter, T., Siart, U., Eibert, T., and Bonerz, S.: Compressed Sensing Approach for Fast Collision Warning Radar, in: Proceedings of German Microwave Conference (GeMiC), Aachen, Germany, 2014.
Azodi, H., Siart, U., and Eibert, T.: A Fast 3-D Deterministic Ray Tracing Coverage Simulator Including Creeping Rays Based On Geometry Voxelization Technique, IEEE T. Antenn. Propag., 63, 210–220, 2015.
Baraniuk, R.: Compressive Sensing [Lecture Notes], IEEE Signal Processing Magagazine, 24, 118–121, 2007.
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Short summary
This work investigates the errors, numerically and analytically, which occur due to the discretization of surveillance space in a multi-sensor radar system. The result of these investigations help to imprve the efficiency of the well-known compressed sensing algorithms. The improvement is critical for the cases where the signal processing algorithms must deliver the results within very short time intervals, e.g. 5 milliseconds or less.
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