Title :
Weighted least squares method for forward-looking imaging of scanning radar
Author :
Yin Zhang ; Yulin Huang ; Yuebo Zha ; Junjie Wu ; Jianyu Yang
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
This paper present a superresolution algorithm for forward-looking imaging of scanning radar based on weighted least squares method. This algorithm utilized the weighted vectors to structure the objective function, and introduced the diagonal loading technique to obtain more robust superresolution result. Simulation results verified the performance of our algorithm.
Keywords :
image resolution; radar imaging; regression analysis; vectors; diagonal loading technique; forward-looking imaging; objective function; real beam scanning radar; superresolution algorithm; weighted least squares method; weighted vectors; Azimuth; Deconvolution; Image resolution; Radar imaging; Signal processing algorithms; Signal resolution; forward-looking imaging; real beam scanning radar; weighted least squares;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946523
