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

Volume

4

fYear

1998

fDate

6-10 Jul 1998

Firstpage

2032

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International

Conference_Location

Seattle, WA

Print_ISBN

0-7803-4403-0

Type

conf

DOI

10.1109/IGARSS.1998.703731

Filename

703731