Multichannel synthetic aperture radar system channel equalization method based on sample selection

Abstract

The invention discloses a multichannel synthetic aperture radar system channel equalization method based on sample selection. The method comprises the step 1: iteration initialization; the step 2: distance frequency domain frequency domain calibration; the step 3: doppler domain calibration; and the step 4: iteration termination condition determination, wherein if the iteration termination condition is satisfied, the process comes to an end, and if not, returning to the step 2. The multichannel synthetic aperture radar system channel equalization method based on sample selection effectively improves the performance for adaptive two dimension calibration. By adding a sample selection strategy before training an adaptive weight, the multichannel synthetic aperture radar system channel equalization method based on sample selection can effectively avoid the problem that in a traditional method, the low clutter noise ratio sample point in a sidelobe zone and a noise zone causes reduction of performance. The multichannel synthetic aperture radar system channel equalization method based on sample selection is suitable for compensation of the range and the phase error among channels for various different multichannel synthetic aperture radar systems, such as airborne, spaceborne and missile-borne multichannel synthetic aperture radars.

Description

technical field [0001] The invention belongs to the field of physics, and in particular relates to a channel equalization method based on a sample selection strategy in the field of synthetic aperture radar systems. Background technique [0002] In the field of synthetic aperture radar, in order to detect ground moving targets, it is necessary to eliminate the interference from the clutter background, so clutter suppression is required. The most common and effective solution is to use the spatial degrees of freedom obtained by multi-channel technology to complete clutter suppression. In order to obtain better clutter suppression performance, it is usually necessary to compensate the amplitude and phase errors between channels, that is, to perform channel equalization processing. [0003] At present, the channel equalization technology in SAR is mainly carried out in the two-dimensional frequency domain. Ender proposed an adaptive two-dimensional calibration (A2DC) method i...

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Problems solved by technology

[0005] Aiming at the deficiency that all samples are used in the adaptive weight training of the existing channel equalization technology, the present invention proposes a channel equalization method based on sample selection, which can effectively avoid side effects by selecting samples in the main beam for adaptive weight training. Performance degradation caused by samples in the lobe and noise regions

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