Method and system for predicting energy on target
US-8957811-B2 · Feb 17, 2015 · US
US10096886B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10096886-B2 |
| Application number | US-201514950831-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 24, 2015 |
| Priority date | May 29, 2013 |
| Publication date | Oct 9, 2018 |
| Grant date | Oct 9, 2018 |
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The present disclosure provides an antenna alignment method and device. The method comprises: according to an antenna type of an antenna and a pre-selected image element type, acquiring a standard feature image corresponding to the antenna type and the image element type from a feature image library; according to the standard feature image, determining an actual feature image of the antenna to be adjusted, wherein there is a correlation between the position of a main lobe in the standard feature image and an alignment direction of a main lobe in the actual feature image; and according to the position of the main lobe, determining the alignment direction of the main lobe in the actual feature image, and adjusting the antenna to be adjusted to the alignment direction of the main lobe in the actual feature image.
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What is claimed is: 1. An antenna alignment method, comprising: acquiring, according to an antenna type of an antenna to be adjusted and a pre-selected image element type, a first feature image corresponding to the antenna type and the image element type from a feature image library, wherein the image element type is a feature attribute of data points in a Received Signal Level (RSL) curved surface or a radiation pattern of the antenna; acquiring the RSL curved surface of the antenna to be adjusted; determining an actual feature image of the antenna to be adjusted according to the first feature image, the RSL curved surface, and the image element type, wherein there is a correspondence between a position of a main lobe in the first feature image and an alignment direction of a main lobe in the actual feature image; and determining the alignment direction of the main lobe in the actual feature image according to the position of the main lobe in the first feature image and the correspondence between the position of the main lobe in the first feature image and the alignment direction of the main lobe in the actual feature image, and adjusting the antenna to the alignment direction of the main lobe in the actual feature image; wherein determining the actual feature image of the antenna to be adjusted according to the first feature image, the RSL curved surface, and the image element type comprises: determining a first starting image element point and a state transition matrix of the actual feature image according to the first feature image, wherein the state transition matrix predicts a trajectory of image element points of the actual feature image; and determining the actual feature image of the antenna to be adjusted according to image element points of the image element type in the RSL curved surface, the first starting image element point, and the state transition matrix. 2. The method according to claim 1 , wherein determining the actual feature image of the antenna to be adjusted according to the image element points of the image element type in the RSL curved surface, the first starting image element point, and the state transition matrix comprises: extracting initial image element points of the image element type in the RSL curved surface, and determining an actual starting image element point of the actual feature image according to the initial image element points and the first starting image element point; predicting a trajectory of first image element points of the actual feature image according to the state transition matrix, and extracting trajectory image element points of the image element type in the RSL curved surface according to the trajectory of the first image element points; determining a trajectory of actual image element points according to the trajectory image element points; and determining the actual feature image of the antenna to be adjusted according to the starting image element point and the trajectory of the actual image element points. 3. The method according to claim 2 , wherein determining the actual starting image element point of the actual feature image according to the initial image element points and the first starting image element points comprises: acquiring an initial point space between two neighboring initial image element points in a preset order; acquiring a first point space between two neighboring first starting image element points in the preset order; and using the two neighboring initial image element points as the actual starting image element point of the actual feature in a case that an absolute value of a difference between the initial point space and the first point space is less than a preset value. 4. The method according to claim 1 , wherein the alignment direction of the main lobe in the actual feature image is an intersecting point of two straight lines in the actual feature image in a case that the image element is a local maximum value and the antenna to be adjusted is a panel antenna; and the alignment direction of the main lobe in the actual feature image is a center of concentric circles in the actual feature image in a case that the image element is a local minimum value and the antenna to be adjusted is a parabolic antenna. 5. The method according to claim 1 , wherein, before acquiring the first feature image corresponding to the antenna type and the image element type from the feature image library according to the antenna type of the antenna to be adjusted and the pre-selected image element type, the method further comprises: acquiring a set of radiation patterns of antennas and a set of image elements, wherein the set of radiation patterns of the antennas comprises first radiation patterns of various types of antennas, and the set of image elements comprises various types of image elements; and traversing, based on the first radiation patterns in the set of the radiation patterns of the antenna, the image element types in the set of the image elements, extracting an image element point of a feature image corresponding to the image element type from the first radiation pattern, using an image comprising the image element point of the feature image as the first feature image corresponding to the antenna type of the antenna to which the first radiation pattern belongs and the image element type, and storing the first feature image to the feature image library. 6. An antenna alignment device, comprising: one or more processors; and a non-transitory memory storing a plurality of processor-executable instructions that, when executed by the one or more processors, cause the antenna alignment device to: acquire, according to an antenna type of an antenna to be adjusted and a pre-selected image element type, a first feature image corresponding to the antenna type and the image element type from a feature image library, wherein the image element type is a feature attribute of data points in a Received Signal Level (RSL) curved surface or a radiation pattern of the antenna; acquire the RSL curved surface of the antenna to be adjusted; determine an actual feature image of the antenna to be adjusted according to the first feature image, the RSL curved surface, and the image element type, wherein there is a correspondence between a position of a main lobe in the first feature image and an alignment direction of a main lobe in the actual feature image; and determine the alignment direction of the main lobe in the actual feature image according to the position of the main lobe in the first feature image and the correspondence between the position of the main lobe in the first feature image and the alignment direction of the main lobe in the actual feature image, and adjust the antenna to the alignment direction of the main lobe in the actual feature image; wherein determining the actual feature image of the antenna to be adjusted according to the first feature image, the RSL curved surface, and the image element type comprises: determining a first starting image element point and a state transition matrix of the actual feature image according to the first feature image, wherein the state transition matrix predicts a trajectory of image element points of the actual feature image; and determining the actual feature image of the antenna to be adjusted according to image element points of the image element type in the RSL curved surface, the first starting image element point, and the state transition matrix. 7. The device according to claim 6 , wherein determining the actual feature image of the antenna to be adjusted according to the image element points of the image element type in the RSL curved surface, the first starting image element point, and the state transition matrix comprises: extracting
using the received signal strength · CPC title
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