Single-channel sar-gmti method based on two-view real image processing

Abstract

The invention discloses a single-channel synthetic aperture radar moving target detection and positioning method based on two-view real image processing. The steps include: (1) calculating the azimuth spectrum; (2) separating sub-view images; (3) suppressing ground clutter ; (4) Using the constant false alarm detection method to detect moving targets; (5) Locating moving targets. The invention overcomes the disadvantages of multi-channel hardware system complexity, high cost and narrow application range by adopting the single-channel SAR-GMTI method, and has the advantages of simple hardware system, low cost and wide application range. Through adaptive amplitude filtering of the two-view real image and then suppressing the interference of static clutter, it overcomes the fact that there is still a large amount of static clutter left after the sub-view image cancellation of the existing single-channel system, and can only detect moving targets outside the main lobe of clutter The shortcomings of the signal have the advantages of high signal-to-noise ratio, the ability to detect moving target signals in the main lobe of clutter, low false alarm probability, and high accuracy of motion parameter estimation and positioning.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and further relates to a single-channel synthetic aperture radar moving target detection (SAR-GMTI) method based on two-view real image processing in the technical field of airborne single-channel radar. This method can effectively detect and locate moving objects. Background technique [0002] Synthetic aperture radar imaging technology For the scene of static ground, as long as the trajectory of the radar moving platform is known, the relative displacement between the radar and the target is known accurately, and high-resolution SAR images can be obtained through matched filtering. However, the situation of moving targets on the ground is different, because the moving information of moving targets has no prior knowledge in most cases, if the Doppler parameters obtained by estimation of stationary targets are used for matching filtering, the moving targets will not be effective Ground...

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Problems solved by technology

Since each resolution unit in the SAR imaging scene is composed of a number of scattering points, when the angle between the target and the radar line of sight changes, the phases corresponding to different scattering points change rapidly, which leads to the phase difference between different sub-images Therefore, it is impossible to effectively suppress ground clutter and improve the ability to detect moving targets by using a two-dimensional adaptive processing method with enough degrees of freedom in the airspace, so this method will be limited in the actual measurement data processing

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