DocumentCode
1180231
Title
Phase and amplitude phase restoration in synthetic aperture radar imaging
Author
Soumekh, Mehrdad ; Choi, Jeong-Hee
Author_Institution
Dept. of Electr. & Comput. Eng., State Univ. of New York, Amherst, NY, USA
Volume
1
Issue
2
fYear
1992
fDate
4/1/1992 12:00:00 AM
Firstpage
229
Lastpage
242
Abstract
Methods for addressing two types of multiplicative noise in synthetic aperture radar (SAR) imaging are presented. The authors consider a multiplicative noise with a real phase (i.e. the SAR signal´s phase is contaminated but its amplitude is uncorrupted) that possesses unknown functional characteristics with respect to the radar signal´s temporal frequencies. A perturbation solution for phase reconstruction from amplitude is developed from a wave equation governing the SAR signal and a Riccati equation that relates the amplitude and phase functions of the SAR signal. This solution is converted into a noniterative analytical solution in terms of the moments and powers of the log amplitude function. Next, the authors consider a multiplicative noise with a complex phase (i.e. both the amplitude and phase of the SAR signal are contaminated) that varies linearly with respect to the radar signal´s temporal frequencies. The two wave equations governing the SAR signal at two temporal frequencies of the radar signal are combined to derive a method to reconstruct the complex phase error function
Keywords
picture processing; radar theory; Riccati equation; SAR signal; amplitude phase restoration; complex phase; complex phase error function; functional characteristics; log amplitude function; moments; multiplicative noise; noniterative analytical solution; perturbation solution; powers; real phase; synthetic aperture radar; synthetic aperture radar imaging; temporal frequencies; wave equation; Aircraft; Image reconstruction; Phase estimation; Phase noise; Radar imaging; Radar polarimetry; Radar signal processing; Signal processing; Spaceborne radar; Synthetic aperture radar;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.136599
Filename
136599
Link To Document