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ISAR image minimum entropy phase correction method and high-precision phase compensation method

A technology of phase correction and minimum entropy, which is applied in the direction of radio wave reflection/re-radiation, utilization of re-radiation, measurement devices, etc., can solve the problems of real-time ISAR imaging difficulties and large amount of computation

Pending Publication Date: 2019-10-08
成都青程融创信息技术有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

It solves the problem that the prior art uses the above steps to optimize the image entropy method, but the amount of calculation is still too large in practical applications, and it is difficult to apply it to real-time ISAR imaging

Method used

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  • ISAR image minimum entropy phase correction method and high-precision phase compensation method
  • ISAR image minimum entropy phase correction method and high-precision phase compensation method
  • ISAR image minimum entropy phase correction method and high-precision phase compensation method

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Embodiment 1

[0091] ISAR image minimum entropy phase correction method, comprising the following steps:

[0092] S1. Estimated value of phase error For initialization, initialize the number of iterations l;

[0093] S2. Estimated value of phase error is estimated, based on the phase error estimate Compensate the phase error caused by translation for each range image, and then perform Doppler analysis on each range unit of the compensated range image along the transverse Doppler direction to obtain a two-dimensional ISAR image g(k,n), where :

[0094]

[0095] S3, calculated by step S2

[0096] S4. Determine the value obtained after two adjacent iterative cycles Whether the difference between values ​​is less than the preset threshold value, if it is less than the preset threshold value, the operation stops and the current is the corrected phase; otherwise, go to step S2.

[0097] Further, the phase error estimated value in the step S1 Initialized to 0.

[0098] Further,...

Embodiment 3

[0150] like Figure 1-3 As shown, it can be seen that our method greatly improves the imaging quality of the target ISAR, and compared with conventional methods based on image entropy, our method’s computing efficiency is greatly improved. Under the same machine configuration and data attributes, We shortened the calculation time from 0.5 hours to 8 seconds. The data attributes are as follows: This radar is a fully polarized radar with a working center frequency of 10GHz, a signal bandwidth of 1GHz, and a pulse repetition frequency of 600Hz; the tracking target is my country's Fengyun satellite, and we read 512 sets of data for processing, and the read channel is HH: That is, horizontal emission and horizontal reception.

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Abstract

The invention discloses an ISAR image minimum entropy phase correction method and a high-precision phase compensation method. The existing method proposes a method of combining a Doppler center tracking method with an image entropy criterion, but the problem of too much calculation exists. The scheme disclosed in the invention provides the ISAR image minimum entropy phase correction method and thehigh-precision phase compensation method, an image evaluation function can be further optimized, an explicit expression is used for description, and the amount of computation can be further reduced.The problems that when the above steps in the prior art are used to optimize the image entropy method, the amount of computation is too large in actual application, and application to real-time ISAR imaging is difficult can be solved.

Description

technical field [0001] The invention relates to the field of radar ISAR imaging, in particular to an ISAR image minimum entropy phase correction method and a high-precision phase compensation method. Background technique [0002] In high-resolution radar ISAR imaging, phase compensation is a key step in motion compensation, and its compensation accuracy directly determines the image quality and affects the subsequent target recognition results. The Doppler center tracking method is an optimal method under the maximum likelihood criterion, and its calculation speed is fast, so it has been widely used, but in practice, we find that its accuracy is still difficult to meet the requirements; the optimization based on the image entropy criterion The search method solves the problem of focusing accuracy, but its huge computational load is the biggest obstacle to its practical application. Taking actual imaging as an example, a 512×1048 data matrix is ​​used for phase compensation b...

Claims

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Application Information

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IPC IPC(8): G01S13/90G01S7/40
CPCG01S7/40
Inventor 许人灿
Owner 成都青程融创信息技术有限公司
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