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A method for extracting radial length of radar target range image based on moving average

A technology of radar target and radial length, applied in the field of data processing, to achieve the effect of strong portability, accurate determination of rising and falling edges, and improvement of accuracy

Active Publication Date: 2017-11-17
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Description
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AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to make the length feature extraction of the high-resolution range image more accurate and reduce the impact of prominent noise

Method used

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  • A method for extracting radial length of radar target range image based on moving average
  • A method for extracting radial length of radar target range image based on moving average
  • A method for extracting radial length of radar target range image based on moving average

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Embodiment Construction

[0023] According to the above steps, the threshold method and this method are used respectively to conduct experiments with the measured data of 5 kinds of civil aircraft. The experimental process and results are as follows:

[0024] The first step: Find the mean value (mean) of the overall distance image after noise reduction and the maximum value (max1, max2) of the noise area on both sides;

[0025] Step 2: According to the actual length characteristics of the target, start from the position of the maximum point of the distance image, select 100 data on both sides as the target area, and the rest are noise areas;

[0026] Step 3: Compare the mean value and the maximum value of the noise area, and determine the larger one as the maximum value of the threshold value. At this time, the maximum value point of the threshold value (F left , F right ).

[0027] Step 4: Select a certain amount of data for average (this method uses 5 data for sliding average in the experiment), an...

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Abstract

The invention discloses a method for extracting the radial length of a radar target range image based on a moving average. The method belongs to the data processing technology, and specifically relates to the data characteristic extraction technology. The data used is the radar high-resolution range image, and the pre-data processing method used is differential noise reduction. The key to the extraction of length features lies in the determination of the start and end positions. Through the threshold selection method, it is inevitable that the error is relatively large because of the prominent points in the noise area. In order to solve such problems, a feature extraction method of radial length of radar target high-resolution range image based on moving average is proposed. Therefore, it has the effects of reducing the influence of outstanding noise, high accuracy, and strong portability.

Description

technical field [0001] The invention belongs to data processing technology, in particular to data feature extraction technology. Background technique [0002] In radar automatic identification system, feature extraction plays a vital role in target identification. Its function is to extract the features that are unique to the target and can reflect its characteristics, so that the later classifier can use these features to achieve a good classification effect. At present, there are more researches on transforming the original data to make it projected in the feature space, and identifying by extracting the projected feature vector in the feature space. The transformation includes linear and nonlinear transformation. In the transformation method, it is generally through mathematical methods to make the data more aggregated, and the characteristics of the target itself cannot be seen. [0003] The radar high-resolution distance is like the distribution of the scattering cen...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/41G01S13/89
CPCG01S7/41G01S13/89
Inventor 周云舒占军何荣江郝英杰于雪莲
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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