Title :
Sparse-signal processing on information-based range grid
Author :
de Jong, Edwin ; Pribic, Radmila
Author_Institution :
Dept. of Appl. Phys., Univ. of Groningen, Groningen, Netherlands
Abstract :
Radar obtains its parameters on an estimation grid whose cell size is related to resolution of underlying radar processing. Existing radar exploits a regular grid (i.e. constant resolution) although the resolution changes with stronger echoes at shorter ranges.We compute radar resolution from the intrinsic geometrical structure of data models that is characterized by the Fisher information. Based on this information-geometry approach, we create an estimation grid whose cells have a constant information distance. In addition, we explore how such an irregular estimation grid can suit radar processing in practice, and propose applying the information-based grid with the sparse-signal processing from compressive sensing. This novel radar processing is applied in an one-dimensional case of range estimation, with emphasis on the grid effects to the sensing incoherence. Results reveal the new flexibility in radar design.
Keywords :
compressed sensing; geometry; radar resolution; Fisher information; cell size; compressive sensing; constant resolution; data models; estimation grid; grid effects; information-based range grid; information-geometry approach; intrinsic geometrical structure; one-dimensional case; radar design; radar resolution; range estimation; regular grid; sensing incoherence; sparse-signal processing; underlying radar processing resolution; Bandwidth; Estimation; Radar measurements; Sensors; Signal resolution; Fisher information distance; compressive sensing; information geometry; radar resolution; sparse signals;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014 IEEE 8th
Conference_Location :
A Coruna
DOI :
10.1109/SAM.2014.6882344
