Title :
Removal of RFI in wideband radars
Author :
Le, Charles TC ; Hensley, Scott ; Chapin, Elaine
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Abstract :
The least-mean-square (LMS) adaptive filter is applied to suppress narrow-band radiofrequency interference (RFI) in wideband synthetic aperture radar (SAR) signals. Simulation is used to show the working principles of the adaptive filter and to obtain the optimum filter´s parameters. The algorithm is tested with P-band synthetic aperture radar (SAR) data collected by the NASA/JPL airborne SAR (AIRSAR) in different noisy environments
Keywords :
adaptive signal processing; geophysical signal processing; geophysical techniques; radar interference; radar signal processing; radar theory; remote sensing by radar; synthetic aperture radar; AIRSAR; P-band; RFI; SAR; UHF; adaptive filter; adaptive signal processing; airborne SAR; algorithm; geophysical measurement technique; land surface; least-mean-square; narrow-band; noise removal; radar remote sensing; radiofrequency interference; suppression; synthetic aperture radar; terrain mapping; wideband radar; Adaptive filters; Airborne radar; Bandwidth; Frequency modulation; Ground penetrating radar; Least squares approximation; Narrowband; Radiofrequency interference; Synthetic aperture radar; Transversal filters;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.703731
