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Efficient Baseline Estimation Method for Synthetic Aperture Radar Based on Registration and Curve Fitting

A synthetic aperture radar and curve fitting technology, which is applied in the direction of radio wave reflection/reradiation, radio wave measurement systems, instruments, etc., can solve the problems of estimation accuracy dependence and unsteady baseline estimation technology, and achieve high speed and accuracy High, simple process design effect

Active Publication Date: 2019-05-03
SHANGHAI INST OF ELECTROMECHANICAL ENG
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Problems solved by technology

[0005] The problem solved by the present invention is that the estimation accuracy of the existing effective baseline estimation method depends on the estimation accuracy of the Doppler center frequency, that is, the problem that the baseline estimation technique is not robust; Efficient Baseline Estimation Method for Synthetic Aperture Radar System Based on Curve Fitting

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  • Efficient Baseline Estimation Method for Synthetic Aperture Radar Based on Registration and Curve Fitting
  • Efficient Baseline Estimation Method for Synthetic Aperture Radar Based on Registration and Curve Fitting
  • Efficient Baseline Estimation Method for Synthetic Aperture Radar Based on Registration and Curve Fitting

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Embodiment Construction

[0043] Hereinafter, the present invention will be further described in conjunction with the drawings and embodiments. For the baseline estimation of a multi-channel system, without loss of generality, the effective baseline between channel 1 and channel 2 is taken as an example to illustrate the embodiment of the present invention, and the effective baseline between other channels can be performed in the same way estimate.

[0044] refer to figure 1 , first input the multi-channel data of synthetic aperture radar, and transform the data into the range-Doppler domain. Denote the range Doppler domain signals of channel 1 and channel 2 as and , then they can be related by the following formula:

[0045]

[0046] in, Indicates the distance dimension time;

[0047] Indicates the frequency in the azimuth dimension, that is, the Doppler frequency;

[0048] Indicates the effective baseline;

[0049] Indicates the flight speed along the course of the synthetic apert...

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Abstract

The invention discloses a synthetic aperture radar effective baseline estimation method based on registration and curve fitting. The synthetic aperture radar effective baseline estimation method comprises steps that 1, a baseline searching set is determined; 2, rough registration of input multi-channel synthetic aperture radar data is carried out by using the baseline values of the searching set; 3, relevancy values between channels after the rough registration are acquired; 4, high-order fitting is carried out by using the sample points of the relevancy values to acquire a curve used for describing the relation between the relevancy values and the baseline values; 5, the maximum value of the acquired curve after the fitting is searched, and the baseline value corresponding to the maximum value is the effective baseline. The method of reliably estimating the synthetic aperture radar effective baseline is provided.

Description

technical field [0001] The invention belongs to the field of physics, and in particular relates to a method for obtaining accurate baseline estimation through rough registration combined with curve fitting in the field of synthetic aperture radar. Background technique [0002] In the field of synthetic aperture radar, both velocity estimation and relocation of moving targets need to use baseline information. In practice, the value of the baseline often adopts an equivalent baseline value obtained through equivalent geometric relations. However, due to the influence of platform motion deviation from heading error, antenna pattern error, system function difference between channels, and noise-to-noise ratio (CNR), the equivalent baseline value usually deviates from the effective baseline that actually exists in the system. Errors propagate into the velocity estimation and relocalization results of moving objects. For this reason, it is necessary to solve the problem of estima...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/90
CPCG01S13/90G01S13/9023
Inventor 陈朝焰赵元楠陆加吕瑞恒胡珊田野陈德红李晨黄伟忠杨革文雷明兵
Owner SHANGHAI INST OF ELECTROMECHANICAL ENG
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