Synthetic aperture radar azimuth signal reconstruction method and apparatus thereof

Abstract

The invention discloses a synthetic aperture radar (SAR) azimuth signal reconstruction method. The method comprises the following steps of according to a first channel transfer function matrix, determining a signal to noise ratio (SNR) amplification factor of the first channel transfer function matrix, and according to the SNR amplification factor, determining an equivalent Doppler bandwidth; according to the equivalent Doppler bandwidth and the first channel transfer function matrix, determining a second channel transfer function matrix corresponding to each Doppler frequency point; according to the second channel transfer function matrix corresponding to each Doppler frequency point, a pre-measured aliasing frequency spectrum and an original frequency spectrum corresponding to the aliasing frequency spectrum, determining a frequency spectrum filter extracting a Doppler frequency spectrum. The frequency spectrum filter is used for extracting the Doppler frequency spectrum in an azimuth signal. The invention simultaneously discloses a SAR azimuth signal reconstruction apparatus.

Description

technical field [0001] The present invention relates to a Synthetic Aperture Radar (SAR, Synthetic Aperture Radar) technology, in particular to a SAR azimuth signal reconstruction method and device. Background technique [0002] Multi-channel technology has very important applications in technologies such as spaceborne SAR high-resolution wide swath imaging, interference imaging and moving target detection. SAR azimuth signal reconstruction technology is one of the key technologies of multi-channel technology. Considering non-uniform sampling The azimuth signal reconstruction method in this case is of great significance to SAR imaging. [0003] At present, the classic azimuth signal reconstruction algorithm is based on the inversion of the channel transfer function matrix. This method can effectively complete the reconstruction of the azimuth signal when the non-uniform sampling is not serious, but in the case of severe non-uniform sampling, it will be serious. loss of sign...

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Problems solved by technology

[0003] At present, the classic azimuth signal reconstruction algorithm is based on the inversion of the channel transfer function matrix. This method can effectively complete the reconstruction of the azimuth signal when the non-uniform sampling is not serious, but in the case of severe non-uniform sampling, it will be serious. loss of signal-to-noise ratio, or even complete failure in the presence of data redundancy

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