Applying super resolution techniques for objects recognition in radar

Author

Qureshi, Shahryar Shafique ; Li, Xueming ; Ahmad, Toufeeq

Author_Institution

Beijing Key Lab. of Network Syst. & Network Culture, Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2011

fDate

28-30 Oct. 2011

Firstpage

483

Lastpage

487

Abstract

Super resolution is a process to improve the resolution of an imaging system. Super resolution techniques can help in detection and recognition of objects of interest. A review of super resolution techniques applied to the radar technology is presented. The well-known super resolution algorithms, Matrix inverse, Minimum mean square error and Singular value decomposition are investigated. We observed that Minimum mean square error better recognize the targets under different conditions. Simulation results provide the assessment of discussed super resolution algorithms for the imaging model.

Keywords

image recognition; inverse problems; matrix algebra; mean square error methods; object detection; radar imaging; singular value decomposition; imaging system; matrix inverse; minimum mean square error; object detection; object recognition; radar technology; singular value decomposition; super resolution techniques; Image resolution; Imaging; Mean square error methods; Radar imaging; Signal resolution; Signal to noise ratio; Object recognition; Point spread function; Super resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Broadband Network and Multimedia Technology (IC-BNMT), 2011 4th IEEE International Conference on

Conference_Location

Shenzhen

Print_ISBN

978-1-61284-158-8

Type

conf

DOI

10.1109/ICBNMT.2011.6155981

Filename

6155981