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Low signal-to-noise ratio ISAR imaging motion compensation method

A low signal-to-noise ratio, motion compensation technology, applied in the direction of reflection/re-radiation of radio waves, use of re-radiation, measurement devices, etc. Good performance and accurate estimation of target motion parameters

Active Publication Date: 2019-05-03
NANJING COLLEGE OF INFORMATION TECH
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Problems solved by technology

However, in the case of low signal-to-noise ratio, this method cannot perform phase self-focusing, so a new method needs to be proposed to solve this problem

Method used

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  • Low signal-to-noise ratio ISAR imaging motion compensation method
  • Low signal-to-noise ratio ISAR imaging motion compensation method
  • Low signal-to-noise ratio ISAR imaging motion compensation method

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Embodiment Construction

[0038] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0039] figure 1 It is a method flowchart of a specific embodiment of the present invention;

[0040] figure 1 A specific embodiment of the present invention is shown, which provides a method for low signal-to-noise ratio ISAR imaging motion compensation, comprising the following steps:

[0041] Step 1. Perform keystone transformation on the first L rows of data in the baseband frequency domain signal matrix of the M*N dimension (wherein M is the number of echo pulses and N is the number of discrete sampling points of each echo pulse) of the target echo signal. Where L is a set integer value, and the value of L is recommended to be between 30 and 100. The main considerations for the value of ...

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Abstract

The invention provides a low signal-to-noise ratio ISAR imaging motion compensation method, and belongs to the field of radar signal processing. For an inverse synthetic aperture radar (ISAR), key problems such as envelope alignment, phase focusing and target motion parameter estimation cannot be solved under a condition of low signal-to-noise ratio. The method converts and uses keystone for signal coherent accumulation, and adopts maximum likelihood wavelet threshold denoising to perform denoising on radar distance images, so that accurate target motion parameter estimation can be achieved, and better motion compensation results can be obtained, and therefore, effective imaging under low signal-to-noise ratio can be realized, and the method has popularization and application values.

Description

technical field [0001] The invention relates to a low signal-to-noise ratio ISAR imaging motion compensation method, which can be applied to the engineering field of radar signal processing. Background technique [0002] With the application of new technologies such as stealth technology and drones, inverse synthetic aperture radar (ISAR) will inevitably need to image at low signal-to-noise ratios, which will greatly increase the difficulty of ISAR imaging. [0003] Under the condition of high signal-to-noise ratio, the motion compensation method for the stationary target has been very mature, and envelope alignment and phase self-focusing techniques are commonly used to realize it. For maneuvering targets, since the echo phase has a high-order term, the motion compensation is more complicated. The methods that can be used include: high-order phase parameter estimation to realize motion compensation, modified Keystone transform method to complete envelope alignment, and imag...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90
Inventor 罗文茂陈雪娇顾艳华姜敏敏闫之烨
Owner NANJING COLLEGE OF INFORMATION TECH
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