CN113435538B - Wireless communication equipment deployment method and device - Google Patents
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Abstract
The invention discloses a method and a device for deploying wireless communication equipment, which belong to the technical field of wireless communication equipment installation and comprise the following steps: acquiring a deployment site of the wireless communication equipment, and analyzing the installation environment of the deployment site; the method comprises the steps of obtaining a high-definition image and installation information of a deployment place, carrying out image preprocessing on the image, marking the image after the image preprocessing as a gray image, establishing an image gray value three-dimensional coordinate system by taking an image center as an original point, inputting an image gray value into the coordinate system, connecting adjacent gray value points of the same image by using a smooth curve to form a gray value curved surface, setting a wireless signal interference library, matching the obtained installation information with the wireless signal interference library, obtaining a simulation installation point, detecting the simulation installation point, and finally carrying out comprehensive evaluation to obtain the installation position of the wireless communication equipment.
Description
Technical Field
The invention belongs to the technical field of wireless communication equipment installation; in particular to a method and a device for deploying wireless communication equipment.
Background
Wireless communication is a communication method that does not require a physical connection line, and that exchanges information using the characteristic that an electromagnetic wave signal can propagate in a free space. The wireless communication equipment has the greatest advantages of environment, no need of being limited by wires, certain mobility, low construction difficulty and low cost, and can communicate through wireless connection in a mobile state; however, the wireless communication device has weak interference resistance, so that the installation position of the wireless communication device needs to be reasonably deployed in the installation process, and the influence of an interference source on the wireless communication device is reduced.
Disclosure of Invention
The invention aims to provide a wireless communication equipment deployment method and a wireless communication equipment deployment device, and solves the problems that wireless communication equipment is weak in anti-interference performance and needs to be deployed reasonably at the installation position of the wireless communication equipment.
The purpose of the invention can be realized by the following technical scheme:
a wireless communication device deployment method comprises the following steps: acquiring a deployment site of the wireless communication equipment, and analyzing the installation environment of the deployment site;
acquiring a high-definition image and installation information of a deployment site, preprocessing the image, marking the image after image preprocessing as a gray image, establishing an image gray value three-dimensional coordinate system by taking the center of the image as an origin, inputting the gray value of the image into the coordinate system, connecting adjacent gray value points of the same image by using a smooth curve to form a gray value curved surface, setting a wireless signal interference library, matching the acquired installation information with the wireless signal interference library to obtain interference article information of the deployment site, marking the gray value curved surface according to the interference article information, segmenting the marked gray value curved surface to obtain an interference article image and coordinates, and obtaining the interference capacity corresponding to the interference article;
step two: analyzing and simulating the interfering objects in the deployment site;
step three: carrying out signal test of a simulation installation point to a deployment site;
step four: and comprehensively evaluating the simulated installation point, and selecting the final installation point of the wireless communication equipment according to the comprehensive evaluation.
Further, the method for analyzing and simulating the interfering object in the deployment site in the second step comprises: acquiring a deployment location drawing and a wireless communication equipment model, and integrating and marking an interference article image, the wireless communication equipment model, the deployment location drawing, an interference article coordinate and the interference capability of an interference article as input data; obtaining a prediction model; inputting the input data into the prediction model to obtain N simulated installation points, and marking the N simulated installation points on the deployment site drawing.
Further, the signal testing method for simulating the installation point from the deployment site in the third step comprises the following steps: and arranging a detection device at the simulated installation point, acquiring the signal intensity of the deployment site at other positions except the position where the detection device is arranged, and scoring the signal of the corresponding simulated installation point according to the signal intensity of the other positions.
Further, the method for comprehensively evaluating the simulated installation point in the fourth step comprises the following steps: the simulated mounting points are labeled i, i =1, 2, \8230;, N; acquiring an installation difficulty score of a simulation installation point, marking the installation difficulty score of the simulation installation point as Pi, acquiring a signal score of the simulation installation point, marking the signal score of the simulation installation point as Li, acquiring an influence score of the simulation installation point on the periphery, and marking the influence score of the simulation installation point on the periphery as Ki; removing dimensions and taking numerical calculation of the simulated mounting points, the mounting difficulty scores of the simulated mounting points, the signal scores of the simulated mounting points and the influence scores of the simulated mounting points on the periphery; obtaining a comprehensive score Qi according to a formula Qi = lambda [ (b 1 Pi + b2 Li + b3 Ki)/(b 1+ b2+ b 3) ], wherein b1, b2, b3 and b4 are all proportional coefficients, the value range is 0-t b 1-t b2, 1-t b2 is less than or equal to 2, 1-t b3 is less than or equal to 2, lambda is a correction factor, and the value range is 0< lambda is less than or equal to 1.
A wireless communication equipment deployment device comprises an acquisition module, a simulation module, a test module and a grading module;
the acquisition module is used for acquiring the deployment site information of the wireless communication equipment and analyzing the installation environment of the deployment site;
the simulation module user analyzes and simulates the interference articles in the deployment site;
the test module is used for carrying out signal test on the simulation installation point; and the scoring module is used for comprehensively evaluating the simulated installation point and selecting the final installation point of the wireless communication equipment according to the comprehensive evaluation.
The invention has the beneficial effects that:
the method comprises the steps of carrying out image preprocessing on images by acquiring high-definition images and installation information of deployment sites, marking the images after the image preprocessing as gray images, establishing an image gray value three-dimensional coordinate system by taking the center of the images as an origin, inputting image gray values into the coordinate system, connecting adjacent gray value points of the same image by using a smooth curve to form a gray value curved surface, setting a wireless signal interference library, matching the acquired installation information with the wireless signal interference library to obtain interference object information of the deployment sites, marking the gray value curved surface according to the interference object information, segmenting the marked gray value curved surface to obtain interference object images and coordinates, and providing interference source position information for subsequent wireless communication equipment installation; according to the invention, the installation position of the wireless communication equipment is obtained by acquiring the simulation installation point, detecting the simulation installation point and finally carrying out comprehensive evaluation, so that the problems that the wireless communication equipment is weak in anti-interference and needs to be deployed reasonably are solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a method for deploying a wireless communication device includes:
the method comprises the following steps: acquiring a deployment site of the wireless communication equipment, and analyzing the installation environment of the deployment site;
acquiring a high-definition image and installation information of a deployment site, wherein the installation information is what type of building the installation site is, and is a factory building, a residential building or other types of buildings, what types of articles exist in the installation site, performing image preprocessing on the image, marking the image after the image preprocessing as a gray level image, wherein the image preprocessing comprises image segmentation, image denoising, image enhancement and gray level conversion, establishing an image gray level three-dimensional coordinate system by taking an image center as an origin, inputting an image gray level into the coordinate system, connecting adjacent gray level points of the same image by using a smooth curve to form a gray level, setting a wireless signal interference library, wherein the wireless signal interference library is used for storing article information capable of interfering a wireless signal, matching the acquired installation information with the wireless signal interference library to acquire interference article information of the deployment site, the interference article information comprises article size and color, marking the gray level according to the interference article information, segmenting the marked gray level curved surface to acquire an interference article image and coordinates, and acquiring interference capability corresponding to the interference article;
step two: analyzing and simulating the interference articles in the deployment site;
acquiring a deployment location drawing and a wireless communication equipment model, and integrating and marking an interference article image, the wireless communication equipment model, the deployment location drawing, interference article coordinates and interference capacity of an interference article as input data; obtaining a prediction model; inputting input data into a prediction model to obtain N simulated installation points, wherein the simulated installation points are installation coordinates of wireless communication equipment, and the N simulated installation points are marked on a deployment site drawing, wherein N is a preset coefficient, and N is more than or equal to 5 and is more than or equal to 1;
the acquisition of the prediction model specifically comprises the following steps: acquiring historical installation data of the wireless communication equipment; the historical installation data of the wireless communication equipment comprises interference object images, wireless communication equipment models, deployment location drawings, interference object coordinates and interference capacity of interference objects, and corresponding simulation installation points are set for the historical installation data of the wireless communication equipment; constructing an artificial intelligence model; the artificial intelligent model comprises an error reverse propagation neural network, an RBF neural network and a deep convolution neural network; dividing historical installation data of the wireless communication equipment and corresponding simulation installation points into a training set, a test set and a check set according to a set proportion; the set proportion comprises 2:1: 1. 3:2:1 and 3:2:2; training, testing and verifying the artificial intelligent model through a training set, a testing set and a verifying set; marking the trained artificial intelligence model as a prediction model;
step three: carrying out signal test of a simulation installation point at a deployment site;
setting a detection device at the simulated installation point, wherein the detection device is the same as a signal sent by the wireless communication equipment to be installed, or directly using the wireless communication equipment to be installed as the detection device to test, acquiring the signal intensity of the deployment site except the position where the detection device is set, and scoring the signal of the corresponding simulated installation point according to the signal intensity of other positions;
step four: comprehensively evaluating the simulated installation point, and selecting a final wireless communication equipment installation point according to the comprehensive evaluation;
the simulation installation points are marked as i, i =1, 2, \8230;, N; acquiring an installation difficulty score of a simulation installation point, wherein the installation difficulty score is evaluated by a wireless communication equipment installation engineer, the higher the difficulty is, the lower the score is, the installation difficulty score of the simulation installation point is marked as Pi, the signal score of the simulation installation point is acquired, the signal score of the simulation installation point is marked as Li, the influence score of the simulation installation point on the periphery is acquired, the influence of the simulation installation point on the periphery is the influence of the wireless communication equipment installed at the position on the periphery, for example, the wireless communication equipment is installed on a walkway, when the influence is passed, the influence on the periphery is large, the score is low, and the influence score of the simulation installation point on the periphery is marked as Ki; removing dimensions and taking numerical calculation of the simulated mounting points, the mounting difficulty scores of the simulated mounting points, the signal scores of the simulated mounting points and the influence scores of the simulated mounting points on the periphery; obtaining a comprehensive score Qi according to a formula Qi = lambda [ (b 1 Pi + b2 Li + b3 Ki)/(b 1+ b2+ b 3) ], wherein b1, b2, b3 and b4 are all proportional coefficients, the value range is 0-t b 1-t b2, 1-t b2 is less than or equal to 2, 1-t b3 is less than or equal to 2, lambda is a correction factor, and the value range is 0< lambda is less than or equal to 1.
A wireless communication equipment deployment device comprises an acquisition module, a simulation module, a test module and a grading module;
the acquisition module is used for acquiring the deployment site information of the wireless communication equipment and analyzing the installation environment of the deployment site;
the method comprises the steps of obtaining a high-definition image and installation information of a deployment site, carrying out image preprocessing, marking the image after the image preprocessing as a gray image, wherein the image preprocessing comprises image segmentation, image denoising, image enhancement and gray conversion, establishing an image gray value three-dimensional coordinate system by taking an image center as an original point, inputting image gray values into the coordinate system, connecting adjacent gray value points of the same image by using a smooth curve to form a gray value curved surface, setting a wireless signal interference library, matching the obtained installation information with the wireless signal interference library to obtain interference article information of the deployment site, marking the gray value curved surface according to the interference article information, segmenting the marked gray value curved surface to obtain an interference article image and coordinates, and obtaining the interference capacity of corresponding interference articles.
A simulation module user analyzes and simulates the interference articles in the deployment site;
acquiring a deployment location drawing and a wireless communication equipment model, and integrating and marking an interference article image, the wireless communication equipment model, the deployment location drawing, an interference article coordinate and the interference capability of an interference article as input data; obtaining a prediction model; inputting input data into a prediction model to obtain N simulation installation points, and marking the N simulation installation points on a deployment site drawing;
the acquisition of the prediction model specifically comprises the following steps: acquiring historical installation data of the wireless communication equipment; the historical installation data of the wireless communication equipment comprises interference object images, wireless communication equipment models, deployment location drawings, interference object coordinates and interference capacity of interference objects, and corresponding simulation installation points are set for the historical installation data of the wireless communication equipment; constructing an artificial intelligence model; the artificial intelligence model comprises an error reverse propagation neural network, an RBF neural network and a deep convolution neural network; dividing historical installation data of the wireless communication equipment and corresponding simulation installation points into a training set, a test set and a check set according to a set proportion; the set proportions include 2:1: 1. 3:2:1 and 3:2:2; training, testing and verifying the artificial intelligent model through a training set, a testing set and a verifying set; marking the trained artificial intelligence model as a prediction model;
the test module is used for carrying out signal test on the simulation installation point; arranging a detection device at the simulation installation point, acquiring the signal intensity of the deployment site at other positions except for the position where the detection device is arranged, and scoring the signal of the corresponding simulation installation point according to the signal intensity of the other positions;
the grading module is used for carrying out comprehensive evaluation on the simulated installation points and selecting the final installation point of the wireless communication equipment according to the comprehensive evaluation;
the simulated mounting points are labeled i, i =1, 2, \8230;, N; obtaining an installation difficulty score of a simulation installation point, wherein the installation difficulty score is evaluated by a wireless communication equipment installation engineer, the higher the difficulty is, the lower the score is, the installation difficulty score of the simulation installation point is marked as Pi, a signal score of the simulation installation point is obtained, the signal score of the simulation installation point is marked as Li, and the influence score of the simulation installation point on the periphery is obtained, wherein the influence of the simulation installation point on the periphery is the influence of the wireless communication equipment installed at the position on the periphery, for example, the wireless communication equipment is installed on a walkway, when the influence is passed, the influence on the periphery is large, the score is low, and the influence score of the simulation installation point on the periphery is marked as Ki; removing dimensions and taking numerical calculation of the simulated mounting points, the simulated mounting point mounting difficulty score, the simulated mounting point signal score and the simulated mounting point influence score on the periphery; obtaining a comprehensive score Qi according to a formula Qi = lambda [ (b 1 Pi + b2 Li + b3 Ki)/(b 1+ b2+ b 3) ], wherein b1, b2, b3 and b4 are all proportional coefficients, the value range is 0-t b 1-t b2, 1-t b2 is less than or equal to 2, 1-t b3 is less than or equal to 2, lambda is a correction factor, and the value range is 0< lambda is less than or equal to 1.
The above formulas are all calculated by removing dimensions and taking values thereof, the formula is one closest to the real situation obtained by collecting a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
When the wireless communication equipment deployment site is used, the deployment site of the wireless communication equipment is obtained, and the installation environment of the deployment site is analyzed; acquiring a high-definition image and installation information of a deployment site, performing image preprocessing on the image, marking the image after the image preprocessing as a gray image, wherein the image preprocessing comprises image segmentation, image denoising, image enhancement and gray conversion, establishing an image gray value three-dimensional coordinate system by taking an image center as an origin, inputting an image gray value into the coordinate system, connecting adjacent gray value points of the same image by using a smooth curve to form a gray value curved surface, setting a wireless signal interference library, matching the acquired installation information with the wireless signal interference library to obtain interference article information of the deployment site, marking the gray value curved surface according to the interference article information, segmenting the marked gray value curved surface to obtain an interference article image and coordinates, and obtaining the interference capacity of a corresponding interference article; analyzing and simulating the interfering objects in the deployment site; acquiring a deployment location drawing and a wireless communication equipment model, and integrating and marking an interference article image, the wireless communication equipment model, the deployment location drawing, an interference article coordinate and the interference capability of an interference article as input data; obtaining a prediction model; inputting input data into a prediction model to obtain N simulated installation points, wherein the simulated installation points are installation coordinates of the wireless communication equipment, and the N simulated installation points are marked on a deployment site drawing;
acquiring historical installation data of the wireless communication equipment; the historical installation data of the wireless communication equipment comprises interference object images, wireless communication equipment models, deployment location drawings, interference object coordinates and interference capacity of interference objects, and corresponding simulation installation points are set for the historical installation data of the wireless communication equipment; constructing an artificial intelligence model; dividing historical installation data of the wireless communication equipment and corresponding simulation installation points into a training set, a test set and a check set according to a set proportion; training, testing and verifying the artificial intelligent model through a training set, a testing set and a verifying set; marking the trained artificial intelligence model as a prediction model; carrying out signal test of a simulation installation point at a deployment site; arranging a detection device at the simulated installation point, acquiring the signal intensity of other positions of the deployment site except for the position where the detection device is arranged, and scoring the signal of the corresponding simulated installation point according to the signal intensity of the other positions;
carrying out comprehensive evaluation on the simulated installation point, selecting a final wireless communication equipment installation point according to the comprehensive evaluation, marking the simulated installation point as i, acquiring the installation difficulty score of the simulated installation point, marking the installation difficulty score of the simulated installation point as Pi, acquiring the signal score of the simulated installation point, marking the signal score of the simulated installation point as Li, acquiring the influence score of the simulated installation point on the periphery, and marking the influence score of the simulated installation point on the periphery as Ki; removing dimensions and taking numerical calculation of the simulated mounting points, the simulated mounting point mounting difficulty score, the simulated mounting point signal score and the simulated mounting point influence score on the periphery; obtaining a comprehensive score Qi according to a formula Qi = lambda [ (b 1 Pi + b2 Li + b3 Ki)/(b 1+ b2+ b 3) ], wherein b1, b2, b3 and b4 are all proportional coefficients, the value range is 0 and b1, 1 and b2 are less than or equal to 2,1 and b3 are less than or equal to 2, lambda is a correction factor, and the value range is 0 and lambda is less than or equal to 1.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (2)
1. A method for deploying a wireless communication device, comprising the steps of: acquiring a deployment site of the wireless communication equipment, and analyzing the installation environment of the deployment site;
acquiring a high-definition image and installation information of a deployment site, preprocessing the image, marking the image after image preprocessing as a gray image, establishing an image gray value three-dimensional coordinate system by taking the center of the image as an original point, inputting the gray value of the image into the coordinate system, connecting adjacent gray value points of the same image by using a smooth curve to form a gray value curved surface, setting a wireless signal interference library, matching the acquired installation information with the wireless signal interference library to obtain interference article information of the deployment site, marking the gray value curved surface according to the interference article information, segmenting the marked gray value curved surface, acquiring an interference article image and coordinates, and acquiring the interference capacity of a corresponding interference article;
step two: analyzing and simulating the interfering objects in the deployment site;
step three: carrying out signal test of a simulation installation point at a deployment site;
step four: comprehensively evaluating the simulated installation point, and selecting a final wireless communication equipment installation point according to the comprehensive evaluation;
the method for analyzing and simulating the interfering objects in the deployment site in the second step comprises the following steps: acquiring a deployment location drawing and a wireless communication equipment model, and integrating and marking an interference article image, the wireless communication equipment model, the deployment location drawing, an interference article coordinate and the interference capability of an interference article as input data; obtaining a prediction model; inputting input data into a prediction model to obtain N simulated installation points, and marking the N simulated installation points on a deployment site drawing;
the signal testing method for simulating the installation point from the deployment site in the third step comprises the following steps: arranging a detection device at the simulated installation point, acquiring the signal intensity of other positions of the deployment site except for the position where the detection device is arranged, and scoring the signal of the corresponding simulated installation point according to the signal intensity of the other positions;
the method for comprehensively evaluating the simulated installation point in the fourth step comprises the following steps: the simulation installation points are marked as i, i =1, 2, \8230;, N; acquiring an installation difficulty score of a simulated installation point, marking the installation difficulty score of the simulated installation point as Pi, acquiring a signal score of the simulated installation point, marking the signal score of the simulated installation point as Li, acquiring an influence score of the simulated installation point on the periphery, and marking the influence score of the simulated installation point on the periphery as Ki; removing dimensions and taking numerical calculation of the simulated mounting points, the simulated mounting point mounting difficulty score, the simulated mounting point signal score and the simulated mounting point influence score on the periphery; obtaining a comprehensive score Qi according to a formula Qi = lambda [ (b 1 Pi + b2 Li + b3 Ki)/(b 1+ b2+ b 3) ], wherein b1, b2 and b3 are proportional coefficients, the value range is 0-b 1, 1-b 2 is less than or equal to 2, 1-b 3 is less than or equal to 2, lambda is a correction factor, and the value range is 0< lambda is less than or equal to 1.
2. A wireless communication equipment deployment device is characterized by comprising an acquisition module, a simulation module, a test module and a grading module;
the acquisition module is used for acquiring the deployment site information of the wireless communication equipment and analyzing the installation environment of the deployment site;
the simulation module is used for analyzing and simulating the interference articles in the deployment site;
the test module is used for carrying out signal test on the simulation installation point; and the grading module is used for carrying out comprehensive evaluation on the simulated installation points and selecting the final installation point of the wireless communication equipment according to the comprehensive evaluation.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1466725A (en) * | 2000-09-22 | 2004-01-07 | ���˹���Ѷ��� | Method and system for automated selection of optimal communication network equipment model position and configuration in 3-D |
| CN101819609A (en) * | 2001-09-21 | 2010-09-01 | 无线谷通讯有限公司 | Be used to design, follow the tracks of, measure, predict and optimize the system and method for data communication network |
| CN103702336A (en) * | 2013-12-27 | 2014-04-02 | 中国科学院自动化研究所 | Method and device for testing deployment of vehicle road interactive wireless network |
| CN105828346A (en) * | 2016-06-07 | 2016-08-03 | 北京佰才邦技术有限公司 | Wireless device access method and device and network control unit |
| CN112396635A (en) * | 2020-11-30 | 2021-02-23 | 深圳职业技术学院 | Multi-target detection method based on multiple devices in complex environment |
| CN112839341A (en) * | 2020-12-15 | 2021-05-25 | 深圳智造谷工业互联网创新中心有限公司 | Deployment method of wireless communication network, electronic device and computer storage medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8929931B1 (en) * | 2011-10-25 | 2015-01-06 | Time Warner Cable Enterprises Llc | Resource installation management in a wireless network |
| CN107454605A (en) * | 2016-05-30 | 2017-12-08 | 富士通株式会社 | method, apparatus and terminal device for wireless network deployment |
-
2021
- 2021-07-19 CN CN202110815002.6A patent/CN113435538B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1466725A (en) * | 2000-09-22 | 2004-01-07 | ���˹���Ѷ��� | Method and system for automated selection of optimal communication network equipment model position and configuration in 3-D |
| CN101819609A (en) * | 2001-09-21 | 2010-09-01 | 无线谷通讯有限公司 | Be used to design, follow the tracks of, measure, predict and optimize the system and method for data communication network |
| CN103702336A (en) * | 2013-12-27 | 2014-04-02 | 中国科学院自动化研究所 | Method and device for testing deployment of vehicle road interactive wireless network |
| CN105828346A (en) * | 2016-06-07 | 2016-08-03 | 北京佰才邦技术有限公司 | Wireless device access method and device and network control unit |
| CN112396635A (en) * | 2020-11-30 | 2021-02-23 | 深圳职业技术学院 | Multi-target detection method based on multiple devices in complex environment |
| CN112839341A (en) * | 2020-12-15 | 2021-05-25 | 深圳智造谷工业互联网创新中心有限公司 | Deployment method of wireless communication network, electronic device and computer storage medium |
Non-Patent Citations (3)
| Title |
|---|
| BalloonNet: A Deploying Method for a Three-Dimensional Wireless Network Surrounding a Building;Shinya Matsuo et.al;《2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications》;20131223;第120-127页 * |
| 一种移动通信干扰效果评估方法;刘泽忠等;《通信技术》;20170910(第09期);第44-47页 * |
| 无线传感器网络移动干扰源位置预测;王胜;《中国优秀硕士学位论文全文数据库 信息科技辑》;20171115;第I140-64页 * |
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