DocumentCode
3690345
Title
Advantages and challenges of power spectral density estimation methods for scanning radar angular superresolution
Author
Yue Wang;Yongchao Zhang;Yulin Huang;Wenchao Li;Jianyu Yang;Haiguang Yang
Author_Institution
School of Electronic Engineering University of Electronic Science and Technology of China
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
1925
Lastpage
1928
Abstract
The angular superresolution is of great significance for scanning radar in forward-looking imaging. There are many techniques documented in literature to enhance the angular resolution, of which deconvolution method and power spectral density(PSD)methods are favored and attain many interests. In this paper, we focus on analyzing the advantages and challenges of PSD methods in comparison with the deconvolution method. Firstly, three typical PSD estimation approaches are introduced, followed with the comparison with deconvo-lution method that summarizes the advantages and challenges of PSD methods in theory. Simulations are provided in terms of coherence and number of snapshots, which presents the performance of different PSD methods and Lucy-Richardson deconvolution method, better demonstrating the advantages and challenges of PSD methods.
Keywords
"Estimation","Image resolution","Deconvolution","Multiple signal classification","Radar","Signal resolution","Azimuth"
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
ISSN
2153-6996
Electronic_ISBN
2153-7003
Type
conf
DOI
10.1109/IGARSS.2015.7326171
Filename
7326171
Link To Document