Content area
In high-resolution and wide-swath (HRWS) synthetic aperture radar (SAR) imaging, the azimuth multi-channel technique effectively suppresses azimuth ambiguity, serving as a reliable approach for achieving wide-swath imaging. However, due to mechanical vibrations of the platform and airflow instabilities, airborne SAR may experience errors in attitude and flight path during operation. Furthermore, errors also exist in the antenna patterns, frequency stability, and phase noise among the azimuth multi-channels. The presence of these errors can cause azimuth multi-channel reconstruction failure, resulting in azimuth ambiguity and significantly degrading the quality of HRWS images. This article presents a novel error correction method for airborne HRWS SAR based on azimuth-variant attitude and range-variant Doppler domain pattern, which simultaneously considers the effects of various errors, including channel attitude errors and Doppler domain antenna pattern errors, on azimuth reconstruction. Attitude errors are the primary cause of azimuth-variant errors between channels. This article uses the vector method and attitude transformation matrix to calculate and compensate for the attitude errors of azimuth multi-channels, and employs the two-dimensional frequency-domain echo interferometry method to calculate the fixed delay errors and fixed phase errors. To better achieve channel error compensation, this scheme also considers the estimation and compensation of Doppler domain antenna pattern errors in wide-swath scenes. Finally, the effectiveness of the proposed scheme is confirmed through simulations and processing of airborne real data.
Details
Air flow;
Vibrations;
Channels;
Image reconstruction;
Interferometry;
Fourier transforms;
Error correction & detection;
Phase noise;
Bandwidths;
Error correction;
Synthetic aperture radar;
Antennas;
Methods;
Frequency stability;
Algorithms;
Image quality;
Azimuth;
Radar imaging;
Ambiguity;
Error compensation;
Compensation
; Zhang Fubo 2 ; Chen Longyong 2 ; Wan Yangliang 2
; Jiang, Tao 1
1 National Key Laboratory of Microwave Imaging, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China; [email protected] (Y.X.); [email protected] (L.C.); [email protected] (Y.W.); [email protected] (T.J.), School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
2 National Key Laboratory of Microwave Imaging, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China; [email protected] (Y.X.); [email protected] (L.C.); [email protected] (Y.W.); [email protected] (T.J.)