Title :
Radar high resolution range profiles analysis based on sparse decomposition
Author :
Zheng, Chundan ; Zhou, Daiying ; Wang, Rong
Author_Institution :
Electron. Eng. Coll., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
The radar high resolution range profiles has been widely used in radar imaging and target recognition because of the simplicity and effectiveness to obtain. For the GTD model of radar target, this paper studies the reconstruction and feature extraction of high resolution range profiles using the method of sparse decomposition. It can avoid the drawbacks of the Nyquist sampling theorem and process the radar echo signal with the method of closer to the essence of the signal characteristics. The experimental results show the effectiveness of the signal reconstruction and feature extraction.
Keywords :
echo; feature extraction; radar signal processing; radar target recognition; signal reconstruction; GTD model; Nyquist sampling theorem; feature extraction; radar echo signal; radar high resolution range profiles analysis; radar target; signal characteristics; signal reconstruction; sparse decomposition; Abstracts; Broadband communication; Image recognition; Image resolution; Radar imaging; Signal resolution; high resolution range profile; matching pursuit; radar; sparse decomposition;
Conference_Titel :
Electromagnetics; Applications and Student Innovation (iWEM), 2012 IEEE International Workshop on
Conference_Location :
Chengdu, Sichuan
Print_ISBN :
978-1-4673-3000-8
Electronic_ISBN :
978-1-4673-2998-9
DOI :
10.1109/iWEM.2012.6320376
