Channel azimuth baseline error estimation method based on multi-channel complex image space characteristics

Abstract

The invention discloses a channel azimuth baseline error estimation method based on multi-channel complex image spatial characteristics. The method comprises the following steps: receiving echo data of M channels; performing zero setting operation on the echo data of the M channels to obtain zero setting echo data of the M channels; carrying out azimuth spectrum reconstruction on the zero setting echo data of the M channels to obtain signal frequency spectrums of the M channels; imaging the signal frequency spectrums of the M channels through a line frequency modulation scaling algorithm to obtain M images; performing low-pass filtering processing on the M images to obtain fundamental frequency component imaging results of the M channels; performing baseline error estimation on the fundamental frequency component imaging results of the M channels to obtain a baseline error; and correcting the observation azimuth baseline according to the baseline errors of the M channels to obtain final azimuth baselines of the M channels. According to the method, reconstruction and imaging are carried out firstly, and then estimation of the multichannel baseline error is carried out so that a better error estimation effect can be obtained, the imaging quality is improved, and a high-quality HRWS SAR image can be obtained.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and in particular relates to a channel orientation baseline error estimation method based on the spatial characteristics of multi-channel complex images. Background technique [0002] With the improvement of imaging requirements, high azimuth resolution and wide swath have become the key goals of development in recent years. However, for traditional spaceborne Synthetic Aperture Radar (SAR), high azimuth resolution and wide mapping cannot be realized at the same time. In essence, low sampling rate and high resolution are a set of basic contradictions, and high scores can be obtained. Azimuth multi-channel SAR with wide image has attracted more and more attention of experts and scholars in recent years. [0003] The proposal of azimuth multi-channel SAR effectively solves this basic contradiction. When the system is running, the Pulse Recurrence Frequency (PRF) selects a frequenc...

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Problems solved by technology

[0004] However, the estimation method based on high-precision measurement equipment has high requirements on the accuracy of system components and system complexity, and cannot be realized in an environment with poor equipment conditions; most estimation methods based on data are estimated and compensated in the frequency domain. In the case of low signal-to-noise ratio of raw data, lower estimation accuracy may be obtained

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