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Multiplexing accounting method and device for linear-variable frequency-adjusting scale imaging algorithm factor

A linear frequency modulation and computing device technology, which is applied in measuring devices, radio wave reflection/re-radiation, and utilization of re-radiation, etc., can solve problems such as high computing costs and complicated operations, and achieve improved integration, reduced complexity, and effective Conducive to the effect of hardware design and the realization of software and hardware collaboration

Inactive Publication Date: 2006-11-01
北京神州天脉网络计算机有限公司
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Problems solved by technology

In addition, in the prior art, different software and hardware are required to calculate the relevant factors for different factors. Not only the calculation cost is high, but also the operation is complicated. At present, there is no method or device that can be applied to the calculation of the three factors at the same time.

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  • Multiplexing accounting method and device for linear-variable frequency-adjusting scale imaging algorithm factor
  • Multiplexing accounting method and device for linear-variable frequency-adjusting scale imaging algorithm factor
  • Multiplexing accounting method and device for linear-variable frequency-adjusting scale imaging algorithm factor

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Embodiment Construction

[0051] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0052] Taking the C-band as an example, such as figure 2 As shown, the operation steps of the reusable factor calculation method include:

[0053] In step 10, three types of basic variables in the calculation formulas of CS compensation factor, distance compensation factor and orientation compensation factor are separated: frame correlation, line correlation and point correlation. Among them, the frame-related quantity refers to the variable that needs to be updated in each frame. It is a non-real-time calculation quantity. Non-real-time means that when processing each frame of image data, only a fixed number of calculations need to be calculated. Its value is in each frame. The data processing of the frame image is kept constant, and the calculation complexity is constant, which has nothing to do with the image size; the line corre...

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Abstract

A multiplexing calculation method enabling to convert imaging algorithm factor of linear FM dimension includes carrying out value analysis and simplifying variables on factors in factor calculation expression such as separation CS compensation factor, distance compensation factor, orientation compensation factor, frame correlation amount, line correlation amount and point correlation amount; combining variables with the same calculation direction to create new variable, simplifying calculation formula to obtain an unified calculation model A1 x R1 + A 2x R2 for utilizing the model to calculate out value of factor. The device for realizing said method is also disclosed.

Description

technical field [0001] The invention relates to a calculation method of a reusable factor, in particular to a calculation method of three factors of CS compensation, distance compensation and azimuth compensation in a linear frequency modulation scale imaging algorithm. Background technique [0002] Synthetic Aperture Radar (SAR, Synthetic Aperture Radar) can realize all-day, all-weather, large-area ground observation and high-resolution imaging, and has important application value and potential in military, economic and environmental fields. The commonly used imaging algorithms of SAR are Range Doppler algorithm (RD, Range Doppler) and chirp scaling (CS, Chirp Scaling) algorithm. The CS algorithm directly starts from the echo, and accurately derives the expression of the echo signal in the range-Doppler domain, avoiding the defect of the RD algorithm that the calculation amount of range migration correction interpolation increases greatly under the condition of a long synth...

Claims

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Application Information

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IPC IPC(8): G01S13/90G01S7/02
Inventor 简方军韩承德
Owner 北京神州天脉网络计算机有限公司
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