Backward projection imaging method based on random reference average cross-correlation information

A technology of back projection and imaging method, applied in the field of radar image processing and back projection imaging based on random reference average cross-correlation information, can solve the problems of high side lobes and interference, poor imaging performance, etc., to achieve the suppression of side lobes and Effects of interference, increased robustness, avoided performance differences

Active Publication Date: 2018-02-09
HARBIN INST OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problems of high side lobe and interference and poor imaging performance in the traditional backward projection imaging method, the present invention provides a backward projection imaging method based on random reference average cross-correlation information

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  • Backward projection imaging method based on random reference average cross-correlation information
  • Backward projection imaging method based on random reference average cross-correlation information
  • Backward projection imaging method based on random reference average cross-correlation information

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specific Embodiment approach 1

[0060] Specific implementation mode 1. Combination figure 1 This embodiment will be described. A back projection imaging method based on random reference average cross-correlation information, the specific process is as follows:

[0061] Step 1, the data collected by the radar is obtained by calculating the time delay of the target to be imaged relative to the position of the synthetic aperture and the center frequency of the transmitted pulse signal to obtain the echo data matrix of the point to be imaged;

[0062] Step 2, using the middle reference echo segment vector and the random reference echo segment vectors on the left and right sides to calculate three sets of cross-correlation coefficient vectors, and respectively calculate the average value of the cross-correlation coefficients of the three sets of cross-correlation coefficient vectors;

[0063] Step 3, select the average value of the optimal cross-correlation coefficient by setting the two-level threshold;

[006...

specific Embodiment approach 2

[0066] Specific implementation mode two, see figure 2 and 3 This embodiment will be described. This implementation mode is a further description of the specific implementation mode 1. Step 1 is specifically:

[0067] Step 11) The kth synthetic aperture transmitting antenna T k The position is (x k ,Δy / 2,0), the kth synthetic aperture receiving antenna R k The position is (x k ,-Δy / 2,0), the position of the target A to be imaged is (x A ,0,z A );

[0068] Step 12) The time delay τ of the target A to be imaged relative to the position of the kth synthetic aperture A,k for

[0069]

[0070] The number of synthetic apertures is N p , the time delay vector from the target to be imaged A to each synthetic aperture position:

[0071] Step 13) The center frequency of the transmitted signal of the target A to be imaged is f 0 , the equivalent sampling frequency is f s , take each delay position as the center, take the echo data of length S as the echo data to be proc...

specific Embodiment approach 3

[0078] Specific implementation mode three. This implementation mode is a further description of specific implementation mode one. Step 2 is specifically:

[0079] Step 21) is the middle reference echo band vector, and then randomly select a left reference echo band vector on the left side of the middle reference echo band Randomly select a right reference echo band vector on the right side of the middle reference echo band

[0080] Step 22) According to the correlation between the echo segment vector obtained at each synthetic aperture position and the middle reference echo segment vector, the left reference echo segment vector and the right reference echo segment vector, three sets of cross-correlation coefficient vectors are calculated and Among them, the cross-correlation coefficient ρ A,1k , ρ A,2k , ρ A,3k is calculated using the Pearson correlation coefficient:

[0081]

[0082]

[0083]

[0084] The Cov(i,j) function represents the covariance of vec...

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Abstract

The invention provides a backward projection imaging method based on random reference average cross-correlation information, belongs to the technical field of radar image processing, and solves the problems of high sidelobe and interference and poor imaging performance of the conventional backward projection imaging method. The concrete process of the backward projection imaging method comprises the following steps that step one, as for the radar acquisition data, the time delay of a target to be imaged relative to the synthetic aperture location and the transmitting pulse single center frequency are calculated so as to obtain the echo data matrix of points to be imaged; step two, three sets of cross-correlation coefficient vectors are calculated by using an intermediate reference echo vector and random reference echo vectors of the left and right sides, and the average value of the cross-correlation coefficients of the three sets of cross-correlation coefficient vectors is calculated;step three, two thresholds are set and the average value of the optimal cross-correlation coefficients is selected; and step four, the amplitude value of the points to be imaged is calculated by using the obtained average value of the optimal cross-correlation coefficients and the echo vectors; and the steps one to four are repeated and all the points to be imaged are scanned so as to obtain theimaging result. The backward projection imaging method can be used for the field of radar image processing.

Description

technical field [0001] The invention relates to a radar image processing technology, in particular to a back projection imaging method based on random reference average cross-correlation information, and belongs to the technical field of radar imaging. Background technique [0002] Radar imaging technology is used to visually display the targets in the scene in two or three dimensions, which is convenient for subsequent target detection and recognition, and to obtain the geometric and physical information of the objects in the scene. [0003] In terms of traditional backward projection imaging, the literature "Research on TRM-SAR Imaging Technology in Ultra-Wideband Ground Penetrating Radar" (Journal of University of Electronic Science and Technology of China, 2011-05-30) mainly through the combination of time-reversal mirror imaging technology and SAR imaging technology Combined, with its statistical self-averaging characteristics and space-time matched filtering characteri...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90G01S7/28
CPCG01S7/2813G01S13/904G01S13/9017
Inventor 毛兴鹏辛亮王亚梁赵春雷
Owner HARBIN INST OF TECH
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