A distributed cluster communication base station antenna dynamic adjustment method

Abstract

The application discloses a kind of distributed cluster communication base station antenna dynamic adjustment methods, belong to wireless communication technical field, method includes: to each base station is screened, obtains high-quality base station;With any one high-quality base station in each high-quality base station as main station, other high-quality base station is substation, obtains the position of main station and the position of each substation, and the signal reception time delay difference of each substation relative to main station;According to the position of main station and the position of each substation, and the signal reception time delay difference of each substation relative to main station, the position of target signal source is acquired;Continuously acquire the position of target signal source;According to the position of target signal source that is continuously acquired, the motion state of target signal source is acquired;According to the position and motion state of target signal source, the antenna direction of each base station is adjusted, so that the antenna direction of each base station is directly opposite target signal source.This method can capture the position and motion state of target signal source, realize base station antenna dynamic adjustment, to improve the energy efficiency of distributed cluster communication.

Description

TECHNICAL FIELD

[0001] The application relates to a distributed cluster communication base station antenna dynamic adjustment method and belongs to the technical field of wireless communication. BACKGROUND

[0002] With the rapid development of modern wireless communication technology, wireless communication networks play an increasingly important role in military, civilian and other fields. In complex application scenarios, point-to-multipoint and multipoint-to-multipoint distributed cluster communication has been widely practiced. Distributed cluster communication can cover a wider area and improve communication capacity to complete wide-area multi-entity collaboration. The efficiency of the current distributed communication is limited by the number of cluster nodes. When the number of cluster nodes is too large, the entire communication system has weakened anti-interference ability due to the increase in the number of links, and requires stronger radiation power and larger platform support to maintain communication effectiveness, which cannot meet the needs of more nodes and more extensive area communication. SUMMARY

[0003] The application aims to provide a distributed cluster communication base station antenna dynamic adjustment method which can capture the position and motion state of a target signal source and realize dynamic adjustment of the base station antenna to improve the energy efficiency of distributed cluster communication.

[0004] To achieve the above-mentioned purpose, the application provides the following technical scheme:

[0005] In a first aspect, the application provides a distributed cluster communication base station antenna dynamic adjustment method, comprising:

[0006] acquiring the position and motion state of a target signal source;

[0007] adjusting the antenna direction of each base station according to the position and motion state of the target signal source, so that the antenna direction of each base station is directly opposite to the target signal source;

[0008] wherein the acquisition of the position of the target signal source comprises:

[0009] selecting each base station to obtain high-quality base stations;

[0010] taking any one of the high-quality base stations as a master station and the other high-quality base stations as sub-stations, acquiring the position of the master station and the positions of the sub-stations, and the signal reception time delay difference of each sub-station relative to the master station;

[0011] acquiring the position of the target signal source according to the position of the master station and the positions of the sub-stations, and the signal reception time delay difference of each sub-station relative to the master station;

[0012] the acquisition of the motion state of the target signal source comprises:

[0013] continuously acquiring the position of the target signal source;

[0014] Based on the continuously acquired positions of the target signal sources, the motion state of the target signal sources is obtained.

[0015] In conjunction with the first aspect, further screening of each base station is conducted to identify high-quality base stations, including:

[0016] Obtain the frequency offset, signal-to-noise ratio, and fading amplitude of the received signals from each base station;

[0017] Based on the frequency offset, signal-to-noise ratio, and fading amplitude of the received signals of each base station, base stations whose received signals meet the preset quality standards are selected as high-quality base stations.

[0018] The preset quality standards are: frequency offset less than a preset frequency offset threshold, signal-to-noise ratio greater than a preset signal-to-noise ratio threshold, and fading amplitude less than a preset fading amplitude threshold.

[0019] In conjunction with the first aspect, further obtaining the frequency offset, signal-to-noise ratio, and fading amplitude of the received signals from each base station includes:

[0020] Perform a Fast Fourier Transform on the received signals from each base station to obtain the frequency offset of the received signals from each base station.

[0021] The signal-to-noise ratio (SNR) of the received signals from each base station is calculated to obtain the SNR of the received signals from each base station.

[0022] Envelope extraction is performed on the received signals from each base station to obtain the fading amplitude of the received signals from each base station.

[0023] In conjunction with the first aspect, further obtaining the signal reception delay difference between each substation and the main station includes:

[0024] Obtain the cross-correlation function between the received signal of the master station and the received signals of each substation;

[0025] Based on the cross-correlation function between the received signal of the master station and the received signals of each sub-station, calculate the signal reception delay difference of each sub-station relative to the master station;

[0026] The cross-correlation function between the received signal from the main station and the received signals from each substation is as follows:

[0027] ;

[0028] in, Indicates the main position The received signal at any time Indicates the first Standing The received signal at any time express and The cross-correlation function, denotes the autocorrelation function of , , denotes when , denotes the argument of , denotes the signal receiving time delay difference of the th substation relative to the main station, denotes the total number of high-quality base stations;

[0029] The calculation formula of the signal receiving time delay difference of each substation relative to the main station is:

[0030] .

[0031] In combination with the first aspect, further, according to the position of the main station and the positions of the substations, and the signal receiving time delay difference of each substation relative to the main station, the position of the target signal source is obtained, including:

[0032] According to the position of the main station and the positions of the substation, an expression of the signal transmission distance difference of each substation relative to the main station and the target signal source is constructed;

[0033] The expression of the signal transmission distance difference of each substation relative to the main station and the target signal source is Taylor expanded at the initial position of the target signal source, to obtain a Taylor expansion formula;

[0034] The Taylor expansion formula is converted into a matrix formula;

[0035] According to the signal receiving time delay difference of each substation relative to the main station, the signal transmission distance difference of each substation relative to the main station and the target signal source is calculated;

[0036] According to the signal transmission distance difference of each substation relative to the main station and the target signal source, the matrix formula is solved to obtain the position of the target signal source;

[0037] Wherein, the expression of the signal transmission distance difference of each substation relative to the main station and the target signal source is:

[0038] ;

[0039] Wherein, denotes the signal transmission distance difference of the th substation relative to the main station and the target signal source, denotes the position coordinates of the target signal source, denotes the position coordinates of the main station, denotes the position coordinates of the th substation, denotes the total number of high-quality base stations;

[0040] The Taylor expansion is:

[0041] ;

[0042] wherein, denotes the signal transmission distance of the main station and the target signal source, denotes the signal transmission distance of the first substation and the target signal source, denotes the initial position coordinate of the target signal source, denotes the measurement error corresponding to the first substation, obeys Gaussian distribution.

[0043] The matrix is:

[0044] ;

[0045] wherein, , …, denote the signal transmission distance difference of the second, …, the substation relative to the main station and the target signal source, , …, denote the signal transmission distance of the second, …, the substation and the target signal source, , …, denote the position coordinate of the second, …, the substation, , …, denote the measurement error corresponding to the second, …, the substation, , …, obeys Gaussian distribution.

[0046] The calculation formula of the signal transmission distance difference of each substation relative to the main station and the target signal source is:

[0047] ;

[0048] wherein, denotes the signal receiving time delay difference of the first substation relative to the main station, denotes the propagation speed of electromagnetic wave in vacuum, denotes the time difference measurement error corresponding to the first substation, obeys Gaussian distribution.

[0049] In combination with the first aspect, further, according to the signal transmission distance difference of each substation relative to the main station and the target signal source, the matrix is solved to obtain the position of the target signal source, which comprises:

[0050] Based on the signal transmission distance difference between each substation and the main station and the target signal source, the matrix expression is solved to obtain the solution of the matrix expression;

[0051] The solution to the matrix expression is evaluated. If the solution satisfies the evaluation condition, it is taken as the location of the target signal source; otherwise, let... , , The matrix expression is repeatedly solved until the solution satisfies the determination condition.

[0052] The determination criteria are as follows:

[0053] ;

[0054] in, This indicates the preset judgment threshold.

[0055] In conjunction with the first aspect, further, the motion state of the target signal source includes the vector velocity and vector acceleration of the target signal source. Based on the continuously acquired position of the target signal source, the motion state of the target signal source is obtained as follows:

[0056] Based on the continuously acquired positions of the target signal sources, obtain the vector velocity of the target signal sources;

[0057] Continuously acquire the vector velocity of the target signal source;

[0058] Based on the continuously acquired vector velocity of the target signal source, obtain the vector acceleration of the target signal source;

[0059] The formula for calculating the vector velocity of the target signal source is as follows:

[0060] ;

[0061] in, , , The vector velocity of the target signal source is represented in axis, axis, Components of the axis, , express , The position coordinates of the target signal source acquired at any time. express Time and The time difference between moments;

[0062] The formula for calculating the vector acceleration of the target signal source is:

[0063] ;

[0064] wherein, 、 、 denote components of the vector acceleration of the target signal source in the axis, axis, axis, 、 、 denote components of the vector velocity of the target signal source acquired at the axis, axis, axis, 、 、 denote components of the vector velocity of the target signal source acquired at the axis, axis, axis, denote components of the vector velocity of the target signal source acquired at the axis, denote a time difference between the time and the time.

[0065] In a second aspect, the present application provides a distributed cluster communication base station antenna dynamic adjustment device, comprising:

[0066] a data acquisition module, configured to acquire a position and a motion state of a target signal source;

[0067] a dynamic adjustment module, configured to adjust a direction of an antenna of each base station according to the position and the motion state of the target signal source, so that the direction of the antenna of each base station is directly opposite to the target signal source;

[0068] wherein, the position of the target signal source is acquired by:

[0069] selecting each base station to obtain high-quality base stations;

[0070] taking any one of the high-quality base stations as a master station, and taking other high-quality base stations as sub-stations, acquiring a position of the master station and positions of the sub-stations, and a signal receiving time delay difference of each sub-station relative to the master station;

[0071] acquiring the position of the target signal source according to the position of the master station and the positions of the sub-stations, and the signal receiving time delay difference of each sub-station relative to the master station;

[0072] the motion state of the target signal source is acquired by:

[0073] continuously acquiring the position of the target signal source;

[0074] According to the continuously acquired position of the target signal source, the motion state of the target signal source is acquired.

[0075] In a third aspect, the present application provides a computer device, comprising:

[0076] A storage medium for storing a computer program;

[0077] A processor for executing the computer program to implement the steps of the distributed cluster communication base station antenna dynamic adjustment method according to any one of the first aspect.

[0078] In a fourth aspect, the present application provides a computer readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the distributed cluster communication base station antenna dynamic adjustment method according to any one of the first aspect.

[0079] In a fifth aspect, the present application provides a computer program product comprising a computer program, wherein the computer program, when executed by a processor, implements the steps of the distributed cluster communication base station antenna dynamic adjustment method according to any one of the first aspect.

[0080] Compared with the prior art, the present application has the following beneficial effects:

[0081] The distributed cluster communication base station antenna dynamic adjustment method provided by the present application can capture the position and motion state of the target signal source, and adjust the antenna direction of each base station according to the position and motion state of the target signal source, so that the antenna direction of each base station is directly opposite to the target signal source, which can realize dynamic adjustment of the base station antenna, improve the radiation power of each node in the communication link, enhance the anti-interference ability of the communication system, widen the channel capacity of the distributed cluster communication, and further improve the energy efficiency of the distributed cluster communication.

[0082] The distributed cluster communication base station antenna dynamic adjustment method provided by the present application can evaluate and screen the signals on each communication link in the distributed cluster system, can timely monitor and feed back the channel quality of each communication link, can ensure that the link signals participating in the calculation are high-quality signals, and can further improve the calculation accuracy of the position and motion state of the target signal source.

[0083] The distributed cluster communication base station antenna dynamic adjustment method provided by the present application can accurately locate the position of the target signal source by using three-dimensional coordinates, and can obtain more accurate calculation results by using Taylor expansion iterative calculation.

[0084] The distributed cluster communication base station antenna dynamic adjustment method provided by the present application can monitor the motion trajectory of the target signal source in real time by calculating the motion state of the target signal source.

[0085] The distributed cluster communication base station antenna dynamic adjustment method provided by the application can concentrate the antenna signals of each base station, and can provide stronger communication efficiency under certain transmission power. BRIEF DESCRIPTION OF DRAWINGS

[0086] Figure 1 Figure is a flow chart of the distributed cluster communication base station antenna dynamic adjustment method provided by the embodiment of the application;

[0087] Figure 2 Figure is a distributed cluster communication scenario diagram provided by the embodiment of the application;

[0088] Figure 3 Figure is a flow chart of the high-quality signal screening method provided by the embodiment of the application;

[0089] Figure 4 Figure is a signal receiving time delay difference diagram of two base stations provided by the embodiment of the application, wherein (a) is a time domain display diagram of the signal receiving time delay difference of base station 1 and base station 2, and (b) is a diagram of the signal receiving time delay difference of base station 1 and base station 2 obtained by using the cross-correlation method;

[0090] Figure 5 Figure is a flow chart of the method for solving the position of the target signal source provided by the embodiment of the application;

[0091] Figure 6 Figure is a motion trajectory diagram of the target signal source provided by the embodiment of the application;

[0092] Figure 7 Figure is a diagram of the components of the vector velocity of the target signal source in each coordinate axis provided by the embodiment of the application. DETAILED DESCRIPTION

[0093] The technical solutions of the application will be further described in detail below with reference to the specific implementation modes.

[0094] The embodiments of the application will be described in detail below, and examples of the embodiments are shown in the drawings, wherein the same or similar reference signs represent the same or similar elements or elements with the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary and are only used to explain the application, and cannot be understood as a limitation on the application. The technical features in the embodiments of the application and the embodiments can be combined with each other without conflict.

[0095] Embodiment 1:

[0096] The embodiment provides a distributed cluster communication base station antenna dynamic adjustment method, and the distributed cluster communication base station antenna dynamic adjustment method can be applied to a terminal, and can be executed by a distributed cluster communication base station antenna dynamic adjustment device, the device can be realized by software and / or hardware, and the device can be integrated in the terminal, for example, any tablet computer or computer device with a communication function.

[0097] Figure 1 The embodiment provides a distributed cluster communication base station antenna dynamic adjustment method, and the distributed cluster communication base station antenna dynamic adjustment method can be applied to a terminal, and can be executed by a distributed cluster communication base station antenna dynamic adjustment device, the device can be realized by software and / or hardware, and the device can be integrated in the terminal, for example, any tablet computer or computer device with a communication function. Figure 1

[0098] As shown in Figure 1 The embodiment provides a distributed cluster communication base station antenna dynamic adjustment method, and the distributed cluster communication base station antenna dynamic adjustment method can be applied to a terminal, and can be executed by a distributed cluster communication base station antenna dynamic adjustment device, the device can be realized by software and / or hardware, and the device can be integrated in the terminal, for example, any tablet computer or computer device with a communication function.

[0099] Obtaining the position and the motion state of the target signal source;

[0100] Adjusting the antenna direction of each base station according to the position and the motion state of the target signal source, so that the antenna direction of each base station is opposite to the target signal source.

[0101] In the embodiment, the position of the target signal source is obtained by:

[0102] Screening each base station to obtain high-quality base stations;

[0103] Taking any one of the high-quality base stations as a master station and taking other high-quality base stations as sub stations, obtaining the position of the master station, the position of each sub station, and the signal receiving time delay difference of each sub station relative to the master station;

[0104] Obtaining the position of the target signal source according to the position of the master station, the position of each sub station, and the signal receiving time delay difference of each sub station relative to the master station.

[0105] In the embodiment, the motion state of the target signal source is obtained by:

[0106] Continuously obtaining the position of the target signal source;

[0107] Obtaining the motion state of the target signal source according to the continuously obtained position of the target signal source.

[0108] ​The distributed cluster communication base station antenna dynamic adjustment method provided in the embodiment can capture the position and motion state of the target signal source, adjust the antenna direction of each base station according to the position and motion state of the target signal source, and make the antenna direction of each base station face the target signal source, so that the base station antenna dynamic adjustment can be realized, the radiation power of each node in the communication link is improved, the anti-interference capability of the communication system is enhanced, the channel capacity of the distributed cluster communication is widened, and the energy efficiency of the distributed cluster communication is improved.

[0109] Embodiment 2

[0110] The distributed cluster communication base station antenna dynamic adjustment method provided in the embodiment, on the basis of Embodiment 1, specifically includes the following steps:

[0111] Step one: obtaining the position and motion state of the target signal source;

[0112] In the embodiment, the position of the target signal source is obtained specifically by the following steps:

[0113] Step 1: screening each base station to obtain a high-quality base station;

[0114] In the embodiment, the screening of each base station to obtain a high-quality base station specifically includes the following steps:

[0115] Step 1: obtaining the frequency offset, signal-to-noise ratio and fading amplitude of the received signal of each base station;

[0116] In the embodiment, the frequency offset, signal-to-noise ratio and fading amplitude of the received signal of each base station are obtained specifically by the following steps:

[0117] Step a: performing fast Fourier transform on the received signal of each base station to obtain the frequency offset of the received signal of each base station;

[0118] Step b: performing signal-to-noise ratio calculation on the received signal of each base station to obtain the signal-to-noise ratio of the received signal of each base station;

[0119] Step c: performing envelope extraction on the received signal of each base station to obtain the fading amplitude of the received signal of each base station.

[0120] Step 2: selecting the base station whose received signal meets the preset quality standard as a high-quality base station according to the frequency offset, signal-to-noise ratio and fading amplitude of the received signal of each base station.

[0121] In the embodiment, the preset quality standard is that the frequency offset is less than a preset frequency offset threshold, the signal-to-noise ratio is greater than a preset signal-to-noise ratio threshold, and the fading amplitude is less than a preset fading amplitude threshold.

[0122] For example, Figure 3As shown, the quality of each received signal is evaluated based on its frequency offset, signal-to-noise ratio, and fading amplitude, and the received signal that meets the preset quality standard is selected as a high-quality signal.

[0123] A received signal whose frequency offset is less than a preset frequency offset threshold, whose signal-to-noise ratio is greater than a preset signal-to-noise ratio threshold, and whose fading amplitude is less than a preset fading amplitude threshold is a received signal that meets the preset quality standard. A received signal that meets the preset quality standard is a high-quality signal, and the base station corresponding to a high-quality signal is a high-quality base station.

[0124] Specifically, such as Figure 2 As shown, the total number of base stations is... , No. One base station The received signal at time is ,right Perform a Fast Fourier Transform to obtain frequency offset ,right Perform signal-to-noise ratio calculation and obtain signal-to-noise ratio ,right Perform envelope extraction to obtain The magnitude of the decline .

[0125] Set the frequency offset threshold to The signal-to-noise ratio threshold is The fading amplitude threshold is .

[0126] like , , If both conditions are met, then the judgment is made. If it meets the quality standards, then the following judgment is made: These base stations are high-quality base stations.

[0127] In this embodiment, the frequency offset threshold Signal-to-noise ratio threshold and fading amplitude threshold All settings can be customized according to actual needs.

[0128] The distributed trunking communication base station antenna dynamic adjustment method provided in this embodiment performs quality assessment and screening of signals on each communication link within the distributed trunking system. It can monitor and provide timely feedback on the channel quality of each communication link, ensuring that the link signals involved in the calculation are high-quality signals, thereby improving the accuracy of the calculation of the position and motion state of the target signal source.

[0129] Step 2: Using any one of the high-quality base stations as the master station and the other high-quality base stations as sub-stations, obtain the location of the master station and the location of each sub-station, as well as the signal reception delay difference of each sub-station relative to the master station;

[0130] In this embodiment, obtaining the signal reception delay difference between each substation and the main station specifically includes the following steps:

[0131] Step ①: Obtain the cross-correlation function between the received signal of the master station and the received signals of each substation;

[0132] In this embodiment, the cross-correlation function between the received signal of the master station and the received signals of each sub-station is as follows:

[0133] ;

[0134] in, Indicates the main position The received signal at any time Indicates the first Standing The received signal at any time express and The cross-correlation function, Indicates and Equivalent autocorrelation function, , express hour The value of , express The independent variable, Indicates the first The signal reception delay difference between each substation and the main station This represents the total number of high-quality base stations.

[0135] Step 2: Calculate the signal reception delay difference of each substation relative to the master station based on the cross-correlation function of the received signal of the master station and the received signal of each substation.

[0136] In this embodiment, the formula for calculating the signal reception delay difference between each substation and the main station is as follows:

[0137] .

[0138] Specifically, the main site Received signal at any time for:

[0139] ;

[0140] No. Standing Received signal at any time for:

[0141] ;

[0142] in, Indicates the target signal source is in The transmission signal at any moment, This indicates the signal reception delay at the main station. Indicates the first Signal reception delay of each substation This represents the additive noise corresponding to the main station. Indicates the first The additive noise corresponding to each substation.

[0143] make , The equivalent expression is:

[0144] ;

[0145] but The equivalent expression is:

[0146] ;

[0147] and The cross-correlation function is:

[0148] ;

[0149] in, It is an autocorrelation function, and satisfies ,therefore, This can be obtained through the detected peak value, i.e.:

[0150] .

[0151] In one possible embodiment, the time-domain representation of the signal reception delay difference between base station 1 and base station 2 is as follows: Figure 4 As shown in (a), by Figure 4 As shown in (a), the signal reception time-domain delay difference between base station 1 and base station 2 is 0.1s. Cross-correlation is performed on the received signals of base station 1 and base station 2 to calculate the signal reception time delay difference between them. The signal reception time delay difference between base station 1 and base station 2 obtained using the cross-correlation method is as follows: Figure 4 As shown in (b), by Figure 4 As shown in (b), the signal reception delay difference between base station 1 and base station 2 obtained by using the cross-correlation method is 0.1s.

[0152] Step 3: obtaining the position of the target signal source according to the position of the master station and the positions of the sub-stations, and the signal receiving time delay difference of the sub-stations relative to the master station.

[0153] In this embodiment, the step of obtaining the position of the target signal source according to the position of the master station and the positions of the sub-stations, and the signal receiving time delay difference of the sub-stations relative to the master station specifically comprises the following steps:

[0154] Step 1: constructing an expression of the signal transmission distance difference of the sub-stations relative to the master station and the target signal source according to the position of the master station and the positions of the sub-stations;

[0155] In this embodiment, the expression of the signal transmission distance difference of the sub-stations relative to the master station and the target signal source is:

[0156]

[0157] wherein, represents the signal transmission distance difference of the i-th sub-station relative to the master station and the target signal source, represents the position coordinates of the target signal source, represents the position coordinates of the master station, represents the position coordinates of the i-th sub-station, represents the total number of high-quality base stations. Step 2: Taylor expanding the expression of the signal transmission distance difference of the sub-stations relative to the master station and the target signal source at the initial position of the target signal source to obtain a Taylor expansion;

[0158] In this embodiment, the Taylor expansion is:

[0159]

[0160]

[0161] wherein, represents the signal transmission distance of the master station and the target signal source, represents the signal transmission distance of the i-th sub-station and the target signal source, represents the initial position coordinates of the target signal source, represents the measurement error of the i-th sub-station, obeys Gaussian distribution. Step 3: converting the Taylor expansion into a matrix form;

[0162] In this embodiment, the matrix form is:

[0163]

[0164]

[0165] ​​​​​​​in, … Indicates the 2nd, ..., The signal transmission distance difference between each substation and the main station and the target signal source … Indicates the 2nd, ..., The signal transmission distance between each substation and the target signal source … Indicates the 2nd, ..., The location coordinates of each substation … Indicates the 2nd, ..., The measurement error corresponding to each substation … It follows a Gaussian distribution.

[0166] Step 4: Calculate the signal transmission distance difference between each substation and the target signal source relative to the main station, based on the signal reception delay difference between each substation and the main station.

[0167] In this embodiment, the formula for calculating the signal transmission distance difference between each substation and the main station and the target signal source is as follows:

[0168] ;

[0169] in, Indicates the first The signal reception delay difference between each substation and the main station This indicates the speed at which electromagnetic waves propagate in a vacuum. Indicates the first The time difference measurement error corresponding to each substation It follows a Gaussian distribution.

[0170] Step 5: Solve the matrix equation based on the signal transmission distance difference between each substation and the main station and the target signal source to obtain the position of the target signal source.

[0171] In this embodiment, as Figure 5 As shown, the matrix equation is solved based on the signal transmission distance difference between each substation and the main station and the target signal source to obtain the location of the target signal source. The specific steps include:

[0172] Step a: Solve the matrix equation based on the signal transmission distance difference between each substation and the main station and the target signal source to obtain the solution of the matrix equation;

[0173] Specifically, the matrix expression is solved based on the signal transmission distance difference between each substation and the main station and the target signal source. , , the specific value of , , the specific value of

[0174] Step b: judging the matrix solution, if the matrix solution meets the judging condition, taking the matrix solution as the position of the target signal source, otherwise, repeating the solution of the matrix until the matrix solution meets the judging condition. , ,

[0175] In this embodiment, the judging condition is:

[0176] ;

[0177] wherein, the preset judging threshold is represented by .

[0178] Specifically, if the specific value of , , meets , the position coordinates of the target signal source are directly obtained .

[0179] In this embodiment, the judging threshold can be set according to actual needs to obtain the accuracy and operation speed that meet the actual needs.

[0180] The distributed cluster communication base station antenna dynamic adjustment method provided in this embodiment can accurately locate the position of the target signal source by using three-dimensional coordinates, and can obtain more accurate calculation results by using Taylor expansion iterative calculation.

[0181] In this embodiment, obtaining the motion state of the target signal source specifically includes the following steps:

[0182] Step 1: continuously obtaining the position of the target signal source;

[0183] Step 2: obtaining the motion state of the target signal source according to the continuously obtained position of the target signal source.

[0184] In this embodiment, the motion state of the target signal source includes the vector velocity of the target signal source and the vector acceleration of the target signal source.

[0185] According to the continuously obtained position of the target signal source, obtaining the motion state of the target signal source specifically includes the following steps:

[0186] ​Step ①: Obtain the vector velocity of the target signal source based on the continuously acquired position of the target signal source;

[0187] In this embodiment, the formula for calculating the vector velocity of the target signal source is:

[0188] ;

[0189] in, , , The vector velocity of the target signal source is represented in axis, axis, Components of the axis, , express , The position coordinates of the target signal source acquired at any time. express Time and The time difference between moments.

[0190] In this embodiment, Specific settings can be made according to actual needs to meet the system's requirements for balancing time resolution and processing speed.

[0191] Step 2: Continuously acquire the vector velocity of the target signal source;

[0192] Step 3: Obtain the vector acceleration of the target signal source based on the continuously acquired vector velocity of the target signal source.

[0193] In this embodiment, the formula for calculating the vector acceleration of the target signal source is:

[0194] ;

[0195] in, , , The vector acceleration of the target signal source is represented in axis, axis, Components of the axis, , , express The vector velocity of the target signal source acquired at each moment is axis, axis, Components of the axis, , , express The vector velocity of the target signal source acquired at each moment is axis, axis, Components of the axis, express Time and The time difference between moments.

[0196] In this embodiment, Specific settings can be made according to actual needs to meet the system's requirements for balancing time resolution and processing speed.

[0197] The distributed trunking communication base station antenna dynamic adjustment method provided in this embodiment calculates the motion state of the target signal source and monitors the motion trajectory of the target signal source in real time.

[0198] In one possible embodiment, the motion trajectory of the target signal source is obtained based on its position and motion state, as follows: Figure 6 As shown, in the spatial coordinate system, the vector velocity of the target signal source is in axis, axis, The components of the axis are as follows Figure 7 As shown. Figure 7 middle, , , The vector velocity of the target signal source is represented in axis, axis, The components of the axis.

[0199] Step 2: Based on the location and motion state of the target signal source, adjust the antenna direction of each base station so that the antenna direction of each base station is directly facing the target signal source.

[0200] In this embodiment, the position and motion state of the target signal source are acquired in real time. Based on the position and motion state of the target signal source, the antenna direction of each base station is adjusted in real time so that the antenna direction of each base station is facing the target signal source, thereby realizing the dynamic adjustment of the antenna of the distributed trunking communication base station.

[0201] The distributed trunking communication base station antenna dynamic adjustment method provided in this embodiment includes screening high-quality channel signals, extracting time delay parameters based on the screened signals, calculating the time difference of arrival of the target source signal at each base station, calculating the position of the target signal source through geometric relationships, extracting the motion state of the target signal source, and using beamforming to aggregate multiple antenna signals based on the precise position and motion state of the target signal source, forming a beam pointing towards the target, thereby improving system communication reliability and channel capacity. This method can accurately locate the position of the target signal source and significantly improve the communication performance of the communication platform in motion through continuous directional energy aggregation.

[0202] Example 3:

[0203] The embodiment provides a distributed cluster communication base station antenna dynamic adjustment device, which comprises the following:

[0204] A data acquisition module is configured to acquire the position and motion state of the target signal source.

[0205] A dynamic adjustment module is configured to adjust the antenna direction of each base station according to the position and motion state of the target signal source, so that the antenna direction of each base station is directed to the target signal source.

[0206] The position of the target signal source is acquired in the following way:

[0207] Each base station is screened to obtain high-quality base stations.

[0208] Any one of the high-quality base stations is taken as a master station, and the other high-quality base stations are taken as sub stations, the position of the master station and the positions of the sub stations, and the signal receiving time delay difference of each sub station relative to the master station are acquired.

[0209] The position of the target signal source is acquired according to the position of the master station and the positions of the sub stations, and the signal receiving time delay difference of each sub station relative to the master station.

[0210] The motion state of the target signal source is acquired in the following way:

[0211] The position of the target signal source is continuously acquired.

[0212] The motion state of the target signal source is acquired according to the continuously acquired position of the target signal source.

[0213] The distributed cluster communication base station antenna dynamic adjustment device provided by the embodiment can execute the distributed cluster communication base station antenna dynamic adjustment method provided by the embodiment 1 or the embodiment 2, and has the function modules and beneficial effects corresponding to the execution method.

[0214] Embodiment 4:

[0215] The embodiment provides a computer device, which comprises the following:

[0216] A storage medium is configured to store a computer program.

[0217] A processor is configured to execute the computer program to realize the steps of the distributed cluster communication base station antenna dynamic adjustment method in the embodiment 1 or the embodiment 2.

[0218] Embodiment 5:

[0219] The embodiment provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the steps of the distributed cluster communication base station antenna dynamic adjustment method in the embodiment 1 or the embodiment 2.

[0220] Embodiment 6:

[0221] The embodiment provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the method for dynamically adjusting a distributed cluster communication base station antenna according to the embodiment 1 or the embodiment 2.

[0222] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. In addition, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0223] The present application is described with reference to the flowcharts and / or block diagrams of the method, device (system) and computer program product according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate a means for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus that implements the functions specified in the flowchart

[0224] These computer program instructions can also be stored in a computer-readable memory that can direct the computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including instruction apparatus, which implements the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus that implements the functions specified in the flowchart

[0225] These computer program instructions can also be loaded into a computer or other programmable data processing device, so that a series of operation steps are performed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide a means for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus that implements the functions specified in the flowchart

[0226] The above merely preferred embodiments of the present application, it should be noted that for those of ordinary skill in the art, without departing from the technical principles of the present application, can make several improvements and variations, these improvements and variations should also be considered as the protection scope of the present application.

Claims

1. A method for dynamically adjusting the antenna of a distributed trunking communication base station, characterized in that, include: Acquire the position and motion state of the target signal source; Adjust the antenna direction of each base station according to the position and movement state of the target signal source so that the antenna direction of each base station is directly facing the target signal source; The location of the target signal source includes: Each base station is screened to obtain high-quality base stations; Using any one of the high-quality base stations as the master station and the other high-quality base stations as substations, obtain the location of the master station and the location of each substation, as well as the signal reception delay difference of each substation relative to the master station; The location of the target signal source is obtained based on the location of the main station and the locations of each substation, as well as the signal reception delay difference between each substation and the main station. Acquiring the motion state of the target signal source includes: Continuously acquire the position of the target signal source; Based on the continuously acquired position of the target signal source, the motion state of the target signal source is obtained; Each base station was screened to identify high-quality base stations, including: Obtain the frequency offset, signal-to-noise ratio, and fading amplitude of the received signals from each base station; Based on the frequency offset, signal-to-noise ratio, and fading amplitude of the received signals of each base station, base stations whose received signals meet the preset quality standards are selected as high-quality base stations. The preset quality standards are: frequency offset less than a preset frequency offset threshold, signal-to-noise ratio greater than a preset signal-to-noise ratio threshold, and fading amplitude less than a preset fading amplitude threshold. Based on the location of the main station and the locations of each substation, as well as the signal reception delay difference between each substation and the main station, the location of the target signal source is obtained, including: Based on the location of the main station and the location of each substation, construct an expression for the signal transmission distance difference between each substation and the target signal source relative to the main station; The expression for the difference in signal transmission distance between each substation and the main station and the target signal source is expanded using Taylor expansion at the initial position of the target signal source to obtain the Taylor expansion formula. Convert the Taylor expansion into matrix form; Based on the signal reception delay difference between each substation and the main station, calculate the signal transmission distance difference between each substation and the target signal source relative to the main station; Based on the signal transmission distance difference between each substation and the main station and the target signal source, the matrix expression is solved to obtain the position of the target signal source; The expression for the signal transmission distance difference between each substation and the main station and the target signal source is as follows: ； in, Indicates the first The signal transmission distance difference between each substation and the main station and the target signal source Indicates the position coordinates of the target signal source. Indicates the location coordinates of the main station. Indicates the first The location coordinates of each substation This represents the total number of high-quality base stations; The Taylor expansion is: ； in, This indicates the signal transmission distance between the main station and the target signal source. Indicates the first The signal transmission distance between each substation and the target signal source Indicates the initial position coordinates of the target signal source. Indicates the first The measurement error corresponding to each substation It follows a Gaussian distribution; The matrix form is: ； in, … Indicates the 2nd, ..., The signal transmission distance difference between each substation and the main station and the target signal source … Indicates the 2nd, ..., The signal transmission distance between each substation and the target signal source … Indicates the 2nd, ..., The location coordinates of each substation … Indicates the 2nd, ..., The measurement error corresponding to each substation … It follows a Gaussian distribution; The formula for calculating the signal transmission distance difference between each substation and the main station and the target signal source is as follows: ； in, Indicates the first The signal reception delay difference between each substation and the main station This indicates the speed at which electromagnetic waves propagate in a vacuum. Indicates the first The time difference measurement error corresponding to each substation It follows a Gaussian distribution.

2. The method for dynamically adjusting the antenna of a distributed trunking communication base station according to claim 1, characterized in that, The frequency offset, signal-to-noise ratio, and fading amplitude of the received signals from each base station are obtained, including: Perform a Fast Fourier Transform on the received signals from each base station to obtain the frequency offset of the received signals from each base station. The signal-to-noise ratio (SNR) of the received signals from each base station is calculated to obtain the SNR of the received signals from each base station. Envelope extraction is performed on the received signals from each base station to obtain the fading amplitude of the received signals from each base station.

3. The method for dynamically adjusting the antenna of a distributed trunking communication base station according to claim 1, characterized in that, Obtaining the signal reception delay difference between each substation and the main station includes: Obtain the cross-correlation function between the received signal of the master station and the received signals of each substation; Based on the cross-correlation function between the received signal of the master station and the received signals of each sub-station, calculate the signal reception delay difference of each sub-station relative to the master station; The cross-correlation function between the received signal from the main station and the received signals from each substation is as follows: ； in, Indicates the main position The received signal at any time Indicates the first Standing The received signal at any time express and The cross-correlation function, Indicates and Equivalent autocorrelation function, , express hour The value of , express The independent variable, Indicates the first The signal reception delay difference between each substation and the main station This represents the total number of high-quality base stations; The formula for calculating the signal reception delay difference between each substation and the main station is as follows: 。 4. The method for dynamically adjusting the antenna of a distributed trunking communication base station according to claim 1, characterized in that, Based on the signal transmission distance difference between each substation and the main station and the target signal source, the matrix expression is solved to obtain the location of the target signal source, including: Based on the signal transmission distance difference between each substation and the main station and the target signal source, the matrix expression is solved to obtain the solution of the matrix expression; The solution to the matrix expression is evaluated. If the solution satisfies the evaluation criteria, then... As the location of the target signal source, otherwise, let , , The matrix expression is repeatedly solved until the solution satisfies the determination condition. The determination criteria are as follows: ； in, This indicates the preset judgment threshold.

5. The method for dynamically adjusting the antenna of a distributed trunking communication base station according to claim 1, characterized in that, The motion state of the target signal source includes its vector velocity and vector acceleration. Based on the continuously acquired position of the target signal source, the motion state of the target signal source is obtained as follows: Based on the continuously acquired positions of the target signal sources, obtain the vector velocity of the target signal sources; Continuously acquire the vector velocity of the target signal source; Based on the continuously acquired vector velocity of the target signal source, obtain the vector acceleration of the target signal source; The formula for calculating the vector velocity of the target signal source is as follows: ； in, , , The vector velocity of the target signal source is represented in axis, axis, Components of the axis, , express , The position coordinates of the target signal source acquired at any time. express Time and The time difference between moments; The formula for calculating the vector acceleration of the target signal source is: ； in, , , The vector acceleration of the target signal source is represented in axis, axis, Components of the axis, , , express The vector velocity of the target signal source acquired at any time is axis, axis, Components of the axis, , , express The vector velocity of the target signal source acquired at any time is axis, axis, Components of the axis, express Time and The time difference between moments.

6. A dynamic adjustment device for antennas of a distributed trunking communication base station, characterized in that, include: The data acquisition module is used to acquire the position and motion state of the target signal source; The dynamic adjustment module is used to adjust the antenna direction of each base station according to the position and motion state of the target signal source, so that the antenna direction of each base station is facing the target signal source. The location of the target signal source includes: Each base station is screened to obtain high-quality base stations; Using any one of the high-quality base stations as the master station and the other high-quality base stations as substations, obtain the location of the master station and the location of each substation, as well as the signal reception delay difference of each substation relative to the master station; The location of the target signal source is obtained based on the location of the main station and the locations of each substation, as well as the signal reception delay difference between each substation and the main station. Acquiring the motion state of the target signal source includes: Continuously acquire the position of the target signal source; Based on the continuously acquired position of the target signal source, the motion state of the target signal source is obtained; Each base station was screened to identify high-quality base stations, including: Obtain the frequency offset, signal-to-noise ratio, and fading amplitude of the received signals from each base station; Based on the frequency offset, signal-to-noise ratio, and fading amplitude of the received signals of each base station, base stations whose received signals meet the preset quality standards are selected as high-quality base stations. The preset quality standards are: frequency offset less than a preset frequency offset threshold, signal-to-noise ratio greater than a preset signal-to-noise ratio threshold, and fading amplitude less than a preset fading amplitude threshold. Based on the location of the main station and the locations of each substation, as well as the signal reception delay difference between each substation and the main station, the location of the target signal source is obtained, including: Based on the location of the main station and the location of each substation, construct an expression for the signal transmission distance difference between each substation and the target signal source relative to the main station; The expression for the difference in signal transmission distance between each substation and the main station and the target signal source is expanded using Taylor expansion at the initial position of the target signal source to obtain the Taylor expansion formula. Convert the Taylor expansion into matrix form; Based on the signal reception delay difference between each substation and the main station, calculate the signal transmission distance difference between each substation and the target signal source relative to the main station; Based on the signal transmission distance difference between each substation and the main station and the target signal source, the matrix expression is solved to obtain the position of the target signal source; The expression for the signal transmission distance difference between each substation and the main station and the target signal source is as follows: ； in, Indicates the first The signal transmission distance difference between each substation and the main station and the target signal source Indicates the position coordinates of the target signal source. Indicates the location coordinates of the main station. Indicates the first The location coordinates of each substation This represents the total number of high-quality base stations; The Taylor expansion is: ； in, This indicates the signal transmission distance between the main station and the target signal source. Indicates the first The signal transmission distance between each substation and the target signal source Indicates the initial position coordinates of the target signal source. Indicates the first The measurement error corresponding to each substation It follows a Gaussian distribution; The matrix form is: ； in, … Indicates the 2nd, ..., The signal transmission distance difference between each substation and the main station and the target signal source … Indicates the 2nd, ..., The signal transmission distance between each substation and the target signal source … Indicates the 2nd, ..., The location coordinates of each substation … Indicates the 2nd, ..., The measurement error corresponding to each substation … It follows a Gaussian distribution; The formula for calculating the signal transmission distance difference between each substation and the main station and the target signal source is as follows: ； in, Indicates the first The signal reception delay difference between each substation and the main station This indicates the speed at which electromagnetic waves propagate in a vacuum. Indicates the first The time difference measurement error corresponding to each substation It follows a Gaussian distribution.

7. A computer system, characterized in that, include: Storage medium used to store computer programs; A processor is configured to execute the computer program to implement the steps of the distributed trunking communication base station antenna dynamic adjustment method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the distributed cluster communication base station antenna dynamic adjustment method according to any one of claims 1 to 5.

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