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
fDate :
7/1/2015 12:00:00 AM
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"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7326171