CN110771064A - Estimation method, monitoring equipment and computer readable storage medium - Google Patents
Estimation method, monitoring equipment and computer readable storage medium Download PDFInfo
- Publication number
- CN110771064A CN110771064A CN201880037336.1A CN201880037336A CN110771064A CN 110771064 A CN110771064 A CN 110771064A CN 201880037336 A CN201880037336 A CN 201880037336A CN 110771064 A CN110771064 A CN 110771064A
- Authority
- CN
- China
- Prior art keywords
- signal
- strength
- indication information
- analytic
- monitoring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/18502—Airborne stations
- H04B7/18506—Communications with or from aircraft, i.e. aeronautical mobile service
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
- G01S13/06—Systems determining position data of a target
- G01S13/42—Simultaneous measurement of distance and other co-ordinates
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/318—Received signal strength
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
Abstract
An estimation method, a monitoring device and a computer storage medium. The method comprises the following steps: acquiring an analytic signal, wherein the analytic signal is obtained by processing a wireless signal received by an antenna device of monitoring equipment by a signal processing circuit of the monitoring equipment (S201); determining strength indication information of the analytic signal (S202); and estimating the signal strength of the wireless signal received by the antenna device according to the strength indication information of the analytic signal, wherein the signal strength of the wireless signal is used for evaluating the monitoring range of the monitoring device to the unmanned aerial vehicle (S203). The method comprises the steps of firstly obtaining analysis information obtained by analyzing a wireless signal received by monitoring equipment, then determining strength indication information of the analysis signal, and finally determining the signal strength of the wireless signal according to the strength information, so that a user can know the size of the monitoring range of the monitoring equipment to the unmanned aerial vehicle through the size of the wireless signal strength. Provided is a method for evaluating a detection range of a listening device.
Description
Technical Field
The present invention relates to the field of unmanned aerial vehicle technologies, and in particular, to an estimation method, a monitoring device, and a computer-readable storage medium.
Background
Technological advances have enabled the realization of the concept of unmanned aerial vehicles, an unmanned aerial vehicle that is operated by a radio remote control device and a program control device, which, because of its advantages of not requiring a person to drive himself, can be used to perform difficult or dangerous tasks, such as aerial photography, agriculture, plant protection, miniature self-timer, express delivery, disaster relief, wildlife observation, infectious disease monitoring, surveying and mapping, news reporting, power inspection, disaster relief, movie and television photography, and special manufacturing effects. Although unmanned aerial vehicles are highly distinctive in many areas, problems also follow, such as unmanned aerial vehicles entering no-fly areas such as airports, causing serious security accidents.
For the emergence that prevents the incident, can adopt monitoring equipment to monitor the unmanned aerial vehicle's in certain region flight condition, acquire unmanned aerial vehicle's state information, discover in the unmanned aerial vehicle monitoring application of reality, when monitoring unmanned aerial vehicle through monitoring equipment, the safety control user has the demand of confirming the monitoring range of monitoring equipment under current environment, consequently, how to evaluate monitoring equipment's monitoring range better becomes the focus problem of research.
Disclosure of Invention
The embodiment of the application provides an estimation method, a monitoring device and a computer readable storage medium, which can more accurately estimate the signal strength of a wireless signal received by the monitoring device so as to estimate the size of the monitoring range of the monitoring device.
In a first aspect, an embodiment of the present application provides an estimation method, where the method includes:
acquiring an analytic signal, wherein the analytic signal is obtained by processing a wireless signal received by an antenna device of the monitoring equipment by a signal processing circuit of the monitoring equipment;
determining strength indication information of the analytic signal;
and estimating the signal strength of the wireless signal received by the antenna device according to the strength indication information of the analytic signal, wherein the signal strength of the wireless signal is used for evaluating the monitoring range of the monitoring equipment to the unmanned aerial vehicle.
In a second aspect, another embodiment of the present application provides a listening device, including:
the monitoring equipment comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring an analytic signal, and the analytic signal is obtained by processing a wireless signal received by an antenna device of the monitoring equipment by a signal processing circuit of the monitoring equipment;
a determining unit, configured to determine strength indication information of the analytic signal;
and the estimating unit is used for estimating the signal strength of the wireless signal received by the antenna device according to the strength indication information of the analytic signal, wherein the signal strength of the wireless signal is used for evaluating the monitoring range of the monitoring equipment to the unmanned aerial vehicle.
In a third aspect, another embodiment of the present application provides a monitoring device, which includes an antenna apparatus, a signal processing circuit, and a parsing apparatus, where the antenna apparatus is configured to receive a wireless signal of an environment; the signal processing circuit is used for carrying out signal processing on the wireless signals received by the antenna device to obtain analytic signals; the analysis device is used for acquiring the analysis signal; determining strength indication information of the analytic signal; and estimating the signal strength of the wireless signal received by the antenna device according to the strength indication information of the analytic signal, wherein the signal strength of the wireless signal is used for evaluating the monitoring range of the monitoring equipment to the unmanned aerial vehicle.
In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer storage medium stores a computer program, and the computer program includes program instructions, which are executed by a processor, to perform the method of the first aspect.
This application embodiment is through confirming the signal strength indicating information of the radio signal that monitoring equipment received, comes the signal strength who assesses this radio signal for the user can learn the intensity of the signal interference that this monitoring equipment received according to monitoring equipment received radio signal's signal strength, thereby learns this monitoring equipment can monitor unmanned aerial vehicle's monitoring range.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
Fig. 1 is an application scenario diagram of an evaluation method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart diagram of an estimation method provided by an embodiment of the present application;
FIG. 3 is a schematic flow chart diagram of an estimation method provided by another embodiment of the present application;
fig. 4 is an exemplary graph of signal strength of a wireless signal at multiple frequency points according to an embodiment of the present application;
fig. 5 is a structural block diagram of a monitoring device according to an embodiment of the present application;
fig. 6A is a schematic block diagram of a monitoring device according to an embodiment of the present application;
fig. 6B is a schematic block diagram of another listening device provided in an embodiment of the present application;
fig. 6C is a schematic block diagram of another listening device provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application clearer, the technical solutions of the embodiments of the present application will be described below with reference to the accompanying drawings.
The embodiment of the application provides an estimation method applied to monitoring equipment of an Unmanned Aerial Vehicle (UAV), wherein the UAV is called as an Unmanned Aerial Vehicle (UAV), and the UAV can be a four-axis aircraft, a six-axis aircraft and the like; the listening device is used for scanning unmanned aerial vehicle in the environment, specifically, the listening device can scan the wireless data link between unmanned aerial vehicle and unmanned aerial vehicle's the controlgear, in order to control unmanned aerial vehicle, acquire the information that unmanned aerial vehicle sent or monitor unmanned aerial vehicle's status information etc., wherein, status information includes unmanned aerial vehicle's identification information, information such as position information and/or flight status parameter etc., in this application, the listening device still is used for the environment frequency sweep, a wireless signal for acquireing in the environment, and detect this wireless signal's signal strength, in order to assess the monitoring device can monitor unmanned aerial vehicle's monitoring range. In particular, the monitoring device comprises an antenna means, a signal processing circuit and an analysis means, the antenna means being adapted to acquire or transmit a wireless signal, after the monitoring device receives the wireless Signal through the antenna device, the Signal processing circuit is used to process the wireless Signal (such as amplification, filtering, a/D conversion, etc.), the analysis device can analyze the processed wireless Signal to obtain the Strength Indication information (RSSI) of the wireless Signal, then obtain this radio signal's signal strength according to this radio signal's intensity instruction information, radio signal's signal strength represents the actual value that listening device received above-mentioned radio signal's interference intensity, and then the user can learn through the intensity of the interference that this listening device received and listen device and can monitor unmanned aerial vehicle's monitoring range. The parsing means may be constituted by one or more processors.
In an embodiment, the obtaining of the signal strength of the wireless signal according to the strength indication information of the wireless signal means obtaining a preset mapping table between the strength indication information and the signal strength, and then obtaining the signal strength corresponding to the strength indication information according to the preset mapping table as the signal strength of the wireless signal; or, acquiring the signal strength corresponding to the strength indication information as a reference signal strength, and then acquiring an actual configuration parameter of the monitoring device to calibrate the reference signal strength, so as to obtain the signal strength of the wireless signal, where the reference signal strength represents an estimated value of the interference degree of the monitoring device on the wireless signal, and the actual configuration parameter is an actual gain of the wireless signal after the wireless signal passes through the signal processing circuit.
After the environment frequency sweeping function is started by the monitoring equipment of the unmanned aerial vehicle, the monitoring equipment can receive wireless signals of the environment and detect the signal intensity of the wireless signals on each frequency point, so that the detection range of the monitoring equipment, which can monitor the unmanned aerial vehicle, on different frequency points is evaluated, and the wireless signals can also include signals such as existence signals sent by the unmanned aerial vehicle. Further, fig. 1 shows a service scenario in which a listening device performs environmental frequency sweeping, where the service scenario includes the listening device and at least one interference source. The monitoring device is used for realizing the environment frequency sweeping function, the interference source can send out signals, the signals sent out by the interference source can influence the monitoring range of the monitoring device on the unmanned aerial vehicle, and the interference source can be any device capable of sending out signals, such as a mobile phone and/or a base station. When the monitoring device performs environment frequency sweeping, the monitoring device monitors wireless signals in the environment, wherein the wireless signals include signals sent by some interference sources and possibly signals sent by the unmanned aerial vehicle.
After the monitoring device receives the wireless signal in the environment through the antenna device, the signal processing circuit in the monitoring device is used to process the wireless signal received by the antenna device, the analyzing device can analyze the processed wireless signal to obtain the strength indication information, then, the signal strength of the wireless signal is obtained according to the strength indication information, specifically, a preset mapping table containing the corresponding relationship between the strength indication information and the signal strength is obtained, acquiring the signal strength corresponding to the strength indication information according to the preset mapping table, and using the signal strength corresponding to the strength indication information as the signal strength of the wireless signal, or using the signal strength corresponding to the strength indication information as the reference signal strength, correcting the reference signal strength, and then using the corrected reference signal strength as the signal strength of the wireless signal. Specifically, the calibration process includes acquiring, by the monitoring device, a serial number of a signal processing circuit of the monitoring device, then acquiring, from the server, an actual configuration parameter of the signal processing circuit corresponding to the serial number according to the serial number, and then calibrating the reference signal strength according to the actual configuration parameter.
In one embodiment, a service scenario in which a listening device performs an environmental sweep as shown in fig. 1 may further include a control device and the like. Wherein, controlgear is used for controlling unmanned aerial vehicle. When the control device is used for controlling the unmanned aerial vehicle, the user can control the unmanned aerial vehicle by manipulating the control device. The control device may be a smartphone, laptop, tablet, remote control, or wearable device (watch, bracelet), etc., or a combination thereof. And the control equipment and the unmanned aerial vehicle carry out data interaction by using a wireless data link. The wireless data link is divided into an uplink data link and a downlink data link. The uplink data link is used for transmitting data sent by the control equipment to the unmanned aerial vehicle, and the downlink data link is used for transmitting data sent by the unmanned aerial vehicle to the control equipment.
In one embodiment, as shown in fig. 5, the listening device further includes a communication interface for data interaction with other terminal devices and/or servers. Specifically, the monitoring device may transmit the data to the remote monitoring device through the communication interface in a wired or wireless manner (fourth generation mobile communication technology 4G, fifth generation mobile communication technology 5G, low frequency private network or ethernet), and the remote monitoring device may display the obtained data on the interactive interface. In addition, if additional information of the drone is required (e.g., identity information of the user of the drone, a purchase place of the drone, etc.), the remote control device may transmit the status information or a part of the status information (e.g., identification information of the drone) to the server after acquiring the status information transmitted by the listening device (e.g., identification information of the drone, location information, flight status parameters, etc.). The server can inquire the additional information of the unmanned aerial vehicle according to the received state information or a part of the state information, and sends the additional information of the unmanned aerial vehicle to the remote monitoring equipment, and the remote monitoring equipment can display the additional information of the unmanned aerial vehicle on an interactive interface of the remote monitoring equipment.
The monitoring equipment supports various power supply modes of commercial power and batteries, and supports various installation modes such as pole installation, wall-hung installation or ground installation.
Therefore, the environment frequency sweeping is carried out through the monitoring equipment, so that compared with the environment frequency sweeping carried out by a third-party device, the obtained result is more accurate, more functions are realized on the hardware of the original monitoring equipment under the condition that the hardware cost is not increased, the multifunctional multiplexing of the monitoring equipment is realized, and the monitoring of the unmanned aerial vehicle and the evaluation of the monitoring range are realized.
It is to be understood that the system architecture and the service scenario described in the embodiment of the present application are for more clearly illustrating the technical solution of the embodiment of the present application, and do not form a limitation on the technical solution provided in the embodiment of the present application, and it is known by a person skilled in the art that as the system architecture evolves and a new service scenario appears, the technical solution provided in the embodiment of the present application is also applicable to similar technical problems.
Based on the above description, the embodiment of the present invention proposes a more detailed evaluation method in fig. 2, which can be performed by the aforementioned listening device. As shown in fig. 5, the antenna device, the signal processing circuit and the analysis device included in the monitoring device are sequentially connected, the monitoring device obtains a wireless signal in an environment through the antenna device, then performs processing such as amplification, filtering and a/D conversion on the wireless signal through the signal processing circuit to obtain an analysis signal, and finally the analysis device analyzes the analysis signal to obtain signal strength indication information of the analysis signal, and the signal strength of the wireless signal is estimated and obtained through the signal strength indication information. The signal intensity of the wireless signal is the intensity of signal interference of the current environment, and the size of the wireless signal reflects the monitoring range of the monitoring device capable of monitoring the unmanned aerial vehicle. Specifically, the signal strength of the wireless signal in the environment is larger, the interference received by the monitoring device is larger, the monitoring range of the monitoring device for monitoring the unmanned aerial vehicle is smaller, otherwise, the wireless signal in the environment is smaller, the interference received by the monitoring device is smaller, and the monitoring range of the monitoring device for monitoring the unmanned aerial vehicle is larger.
In S201, the monitoring device obtains a wireless signal in an environment through the antenna apparatus, and then inputs the wireless signal to the signal processing circuit to process the wireless signal to obtain an analytic signal of the wireless signal. The processing of the wireless signal may include one or more of amplification, filtering, shaping, and a/D conversion, so as to obtain an analytic signal. In the embodiment of the invention, the signal processing circuit comprises a power amplifier, a filter, a low noise amplifier, an A/D converter and the like.
In an embodiment, the wireless signal further includes a presence signal sent by the drone, where the presence signal includes status information of the drone, where the status information of the drone includes identification information, location information, and/or flight status parameters of the drone. The unmanned aerial vehicle identification information is any combination of information such as characters and/or data and the like which can uniquely confirm the identity of the unmanned aerial vehicle, the position information is used for describing the position of the unmanned aerial vehicle such as coordinates and the like, and the flight state parameters describe the flight condition of the unmanned aerial vehicle such as the flight height of the unmanned aerial vehicle and/or the flight speed information of the unmanned aerial vehicle and the like.
In an embodiment, only when it is determined that the monitoring function of the unmanned aerial vehicle is in the on state, that is, when the monitoring device is in the monitoring mode, the presence signal of the unmanned aerial vehicle in the wireless signal is analyzed, so as to obtain the state information of the unmanned aerial vehicle in the presence signal.
The multiplexing of the monitoring link of the unmanned aerial vehicle monitoring equipment can be realized through the embodiment of the application, and the monitoring link can be used for monitoring of the unmanned aerial vehicle and can also be used for frequency sweep testing of a space wireless environment. Therefore, the embodiment of the application realizes the monitoring and the environmental frequency sweeping of the unmanned aerial vehicle at the same time under the condition that the hardware equipment of the monitoring equipment is not added.
In an embodiment, after the signal processing circuit is used to process the wireless signal to obtain an analysis signal, the analysis device obtains intensity indication information corresponding to each of a plurality of frequency points of the analysis signal, where the plurality of frequency points include a plurality of frequency points on a 2.4GHz frequency band and a 5.8GHz frequency band, respectively.
In S202, after obtaining the analysis Signal of the wireless Signal, directly reading the Strength Indication information (RSSI) of the analysis Signal in the processing chip of the monitoring device.
In an embodiment, the environmental frequency sweeping function of the monitoring device may be turned on or off, and the step S202 of acquiring the strength indication information of the analytic signal is performed only when the signal strength evaluation function corresponding to the frequency sweeping function of the monitoring device is turned on. Specifically, the analysis device acquires the signal strength evaluation function state before acquiring the strength indication information of the analysis signal, and acquires the strength indication information of the analysis signal when the signal strength evaluation function state is in the on state.
In this application embodiment, the function of the above-mentioned environment frequency sweep can be opened or closed by the manual work, thereby save the power consumption of the monitoring equipment, and improve the efficiency of the environment frequency sweep, this is because the user generally only can not search the signal of unmanned aerial vehicle at the monitoring equipment, or under the weak condition of unmanned aerial vehicle's signal, just carry out the environment frequency sweep, whether to detect because the too big reason of external interference signal leads to monitoring equipment's monitoring range reduces, then the user can be according to the result of environment frequency sweep, adjust the communication frequency point of the monitoring equipment, or shift the monitor to the less region of external signal interference, or shield nearby interference source.
In an embodiment, if the strength of interference of a wireless signal of an environment on a local monitoring device at different frequency points needs to be measured, after the wireless signal is processed by the signal processing circuit to obtain an analysis signal, an analysis device obtains strength indication information corresponding to the analysis signal at each of a plurality of frequency points.
In S203, the signal strength of the wireless signal is obtained based on the strength indication information of the wireless signal obtained in S202. Specifically, the strength indication information of the analytic signal obtained in S202 is obtained, a preset mapping table including strength indication information and signal strength is obtained, then, the signal strength corresponding to the strength indication information of the analytic information in the preset mapping table is directly queried as the signal strength of the wireless signal, or the signal strength corresponding to the strength indication information of the analytic information is used as a reference signal strength, and the reference signal strength is calibrated to obtain the signal strength of the wireless signal, where the signal strength of the wireless signal represents an actual value of the interference strength of the monitoring device with the wireless signal, and the reference signal strength represents an estimated value of the interference degree of the monitoring device with the wireless signal.
The process of calibrating the reference signal strength to obtain the signal strength of the wireless signal refers to obtaining a reference configuration parameter and an actual configuration parameter of the signal processing circuit, then calculating a difference between the reference configuration parameter and the actual configuration parameter, and calibrating the reference information strength by using the difference to obtain the post-signal strength of the wireless signal, wherein the reference configuration parameter refers to a default gain of the wireless signal after the wireless signal passes through the signal processing circuit, and the actual configuration parameter is an actual gain of the wireless signal after the wireless signal passes through the signal processing circuit. Specifically, a functional relationship exists between the reference configuration parameter, the actual configuration parameter, and the reference signal strength, and Pn ═ Prs- (S-X), where Pn, Prs, S, and X are the signal strength of the wireless signal, the reference signal strength, the actual configuration parameter, and the reference configuration parameter, respectively.
It should be noted that the signal processing circuit is integrated with a low noise amplifier, wherein the low noise amplifier is used for amplifying a weak signal. It can be seen that the noise of the signal is increased due to the low noise amplifier integrated with the signal processing circuit. Accordingly, the reference configuration parameter and the actual configuration parameter are actually the reference gain and the actual gain of the low noise amplifier in the signal processing circuit, respectively.
In one embodiment, as shown in fig. 5, the listening device further includes a communication interface for data interaction with other terminal devices and/or servers. Specifically, the actual reference configuration parameters are stored in the server, so that when the analyzing device of the monitoring apparatus obtains the actual reference configuration parameters, the monitoring apparatus sends request information to the server through the communication interface according to the serial number of the signal processing circuit to obtain the actual configuration parameters of the signal processing circuit.
It should be noted that the whole monitoring device includes two parts, an antenna part and a terminal part, the antenna part is an antenna device, the terminal part includes the signal processing circuit and the analysis device, the two parts are separately generated during production and integrated into two packaging modules, and the two parts are randomly combined during engineering installation. Due to different individual differences, the actual gains of different signal processing circuits are different, and after the complete machine is assembled, each complete machine cannot be calibrated independently. In the present application, before the whole device is assembled, the actual gain of each signal processing circuit is tested to obtain the actual configuration parameter of each signal processing circuit, then unique identification information is coded for each signal processing circuit, and finally the identification information and the actual configuration parameter are corresponded to obtain the corresponding relationship between the identification information of the signal processing circuit and the actual configuration parameter, and the corresponding relationship is uploaded to the server through the communication interface.
It should be noted that the preset mapping table is obtained after a plurality of monitoring device samples are subjected to complete machine calibration, and thus the preset mapping tables of all the monitoring devices are consistent. Specifically, a signal with known signal strength is accessed to the antenna device of the monitoring device, and the signal strength indication information obtained by the analysis of the analysis device is read at the same time, so that after multiple tests, a corresponding relation table between the signal strength and the signal strength indication information, that is, a preset mapping relation, can be established.
It should be noted that the reference configuration parameter is measured for a plurality of signal processing circuit samples, and thus the reference configuration parameter is the same for all signal processing circuits and is a default value. The actual configuration parameters are obtained by individually measuring each signal processing circuit in the production process of the single board, so that each signal processing circuit corresponds to an individual actual configuration parameter, each signal processing circuit is labeled, the label of each signal processing circuit is associated with the actual configuration parameter corresponding to the signal processing circuit, and then the label of each signal processing circuit is stored in the server, and the corresponding actual configuration parameter is obtained according to the number of the signal processing circuit when needed.
Above-mentioned radio signal's signal strength indicates that monitoring equipment receives the actual value of above-mentioned radio signal's interference intensity, then after obtaining above-mentioned radio signal's signal strength, the user alright learn the monitoring equipment can monitor unmanned aerial vehicle's monitoring range in order to the intensity of the interference that receives through this monitoring equipment, and this application numbers and acquires signal processing circuit's actual configuration parameter through the signal processing circuit to the difference, can carry out more accurate calibration to every monitoring equipment, further improved the degree of accuracy of the signal strength who assesses radio signal, also be the degree of accuracy that has improved the monitoring range who assesses monitoring equipment.
In an embodiment, after the signal processing circuit is used to process the wireless signal to obtain an analysis signal, the analysis device obtains intensity indication information corresponding to the analysis signal at each of the multiple frequency points, and then determines the signal intensity of the wireless signal of the environment received by the antenna device at each of the multiple frequency points according to the intensity indication information corresponding to each of the multiple frequency points.
In one embodiment, if the signal intensities of the wireless signals at the plurality of frequency points are obtained, the amplitude diagram of the signal intensities at different frequency points is displayed. For example, the signal intensities of the wireless signal at four frequency points in the 2.4G frequency band, 2.1GHZ, 2.2GHZ, 2.3GHZ, and 2.4GHZ, and at four frequency points in the 5.8G frequency band, 5.5GHZ, 5.6GHZ, 5.7GHZ, and 5.8GHZ, are obtained, and are plotted in a graph as shown in fig. 4, where the abscissa is frequency and the ordinate is signal intensity. Reading the figure, the signal intensity of the wireless signal at the frequency point of 5.5GHZ is 0, so that the interference to the monitoring equipment can be regarded as the minimum, and then the monitoring equipment can have the best monitoring effect on the unmanned aerial vehicle at the frequency point of 5.5GHZ, and the monitoring range is the widest.
The user can know which frequency point the external wireless signal has the minimum interference to the monitoring equipment by looking up the amplitude diagrams of the signal intensity on different frequency points, and manually or automatically adjust the communication frequency point (for example, the frequency point for receiving the wireless signal) of the monitoring equipment according to the amplitude diagrams of the signal intensity on different frequency points.
In an embodiment, the obtained signal intensity of the wireless signal or the amplitude diagram of the signal intensity of the wireless signal at different frequency points is sent to the remote monitoring device in a wired or wireless manner (fourth generation mobile communication technology 4G, fifth generation mobile communication technology 5G, low frequency private network or ethernet), and the remote monitoring device can send the monitoring information to the interactive interface.
This application is through confirming the signal strength indicating information of the radio signal that monitoring equipment received, assesses this radio signal's signal strength for the user can learn the intensity of the signal interference that this monitoring equipment received according to monitoring equipment received radio signal's signal strength, thereby learns this monitoring equipment can monitor unmanned aerial vehicle's monitoring range. Therefore, the environment is swept by directly utilizing the monitoring equipment, and compared with the third-party frequency sweeping, the intensity of interference on the monitoring equipment can be more accurately evaluated, so that the monitoring range of the monitoring equipment is better reflected.
As shown in fig. 3, the embodiment of the present invention further provides an estimation method for better estimating the listening range of the listening device in fig. 3, where the estimation method can be performed by the listening device of the drone.
In S301, the monitoring device obtains a wireless signal in an environment through the antenna apparatus, and then inputs the wireless signal to the signal processing circuit to process the wireless signal to obtain an analytic signal of the wireless signal. The processing of the wireless signal may include one or more of amplification, filtering, shaping, and a/D conversion, so as to obtain an analytic signal. In the embodiment of the invention, the signal processing circuit comprises a power amplifier, a filter, a low noise amplifier, an A/D converter and the like.
In S302, only when it is determined that the monitoring function of the drone is in the on state, the presence signal of the drone in the wireless signal is analyzed to obtain the status information of the drone in the presence signal, where the status information includes information such as identification information, location information, and/or flight status parameters of the drone. The unmanned aerial vehicle identification information is any combination of information such as characters and/or data and the like which can uniquely confirm the identity of the unmanned aerial vehicle, the position information is used for describing the position of the unmanned aerial vehicle such as coordinates and the like, and the flight state parameters describe the flight condition of the unmanned aerial vehicle such as the flight height of the unmanned aerial vehicle and/or the flight speed information of the unmanned aerial vehicle and the like.
The multiplexing of the monitoring link of the unmanned aerial vehicle monitoring equipment can be realized through the embodiment of the application, and the monitoring link can be used for monitoring of the unmanned aerial vehicle and can also be used for frequency sweep testing of a space wireless environment. Therefore, the embodiment of the application realizes the monitoring and the environmental frequency sweeping of the unmanned aerial vehicle at the same time under the condition that the hardware equipment of the monitoring equipment is not added.
In S303, a signal strength evaluation function state is obtained, and when the signal strength evaluation function state is an on state, it indicates that the environmental frequency sweeping function of the monitoring device is turned on, and when the signal strength evaluation function state is an off state, it indicates that the environmental frequency sweeping function of the monitoring device is turned off.
In this application embodiment, the function of the above-mentioned environment frequency sweep can be opened or closed by the manual work, thereby save the power consumption of the monitoring equipment, and improve the efficiency of the environment frequency sweep, this is because the user generally only can not search the signal of unmanned aerial vehicle at the monitoring equipment, or under the weak condition of unmanned aerial vehicle's signal, just carry out the environment frequency sweep, whether to detect because the too big reason of external interference signal leads to monitoring equipment's monitoring range reduces, then the user can be according to the result of environment frequency sweep, adjust the communication frequency point of the monitoring equipment, or shift the monitor to the less region of external signal interference, or shield nearby interference source.
In S304, if the signal strength evaluation function state is in an on state, the signal processing circuit processes the wireless signal to obtain an analysis signal, and then the analysis device obtains strength indication information corresponding to each of a plurality of frequency points of the analysis signal. When the signal strength evaluation function state is an on state, the analysis device of the monitoring device may obtain the strength indication information of the analysis information on each of the multiple frequency points.
In S305, the signal strength of the radio signal is obtained from the strength indication information of the analysis signal obtained in S304 for each of the plurality of frequency points. Specifically, the strength indication information of the analysis information obtained in S304 on each frequency point is obtained, a preset mapping table containing a corresponding relationship between the strength indication information and the signal strength is obtained, then, the signal strength corresponding to the strength indication information of the analysis signal on each frequency point in the preset mapping table is directly queried as the signal strength of the wireless signal on each frequency point, or the signal strength corresponding to the strength indication information of the wireless signal on each frequency point is used as the reference signal strength, and the reference signal strength of the wireless signal on each frequency point is calibrated to obtain the signal strength of the wireless signal on each frequency point, where the signal strength of the wireless signal on each frequency point represents an actual value of the interference strength of the wireless signal received by the monitoring device on the frequency point, and the reference signal strength of the wireless signal on each frequency point represents the interference range of the wireless signal received by the monitoring device on the frequency point An estimate of the degree.
It should be noted that, in the single board production process, the signal processing circuit needs to be calibrated separately, and the preset mapping table is generated when the whole monitoring device is calibrated. Specifically, a wireless signal with known signal strength is accessed to an antenna device of the monitoring device, and meanwhile, the signal strength indication information of the analysis device is read, so that after multiple tests, a corresponding relation table between the signal strength and the signal strength indication information, that is, a preset mapping relation, can be established.
The process of calibrating the reference signal strength to obtain the signal strength of the wireless signal refers to obtaining a reference configuration parameter and an actual configuration parameter of the signal processing circuit, then calculating a difference between the reference configuration parameter and the actual configuration parameter, and calibrating the reference information strength by using the difference to obtain the post-signal strength of the wireless signal, wherein the reference configuration parameter refers to a default gain of the wireless signal after the wireless signal passes through the signal processing circuit, and the actual configuration parameter is an actual gain of the wireless signal after the wireless signal passes through the signal processing circuit. Specifically, a functional relationship exists between the reference configuration parameter, the actual configuration parameter, and the reference signal strength, and Pn ═ Prs- (S-X), where Pn, Prs, S, and X are the signal strength of the wireless signal, the reference signal strength, the actual configuration parameter, and the reference configuration parameter, respectively.
It should be noted that the signal processing circuit is integrated with a low noise amplifier, wherein the low noise amplifier is used for amplifying a weak signal. It can be seen that the noise of the signal is increased due to the low noise amplifier integrated with the signal processing circuit. Accordingly, the reference configuration parameter and the actual configuration parameter are actually the reference gain and the actual gain of the low noise amplifier in the signal processing circuit, respectively.
Further, as shown in fig. 5, the monitoring device further includes a communication interface for performing data interaction with other terminal devices and/or the server. Specifically, the actual reference configuration parameters are stored in the server, so that when the analyzing device of the monitoring device acquires the actual reference configuration parameters, the communication interface of the monitoring device sends request information to the server according to the serial number of the signal processing circuit to acquire the actual configuration parameters of the signal processing circuit.
It should be noted that the preset mapping table is obtained after a plurality of monitoring device samples are subjected to complete machine calibration, and thus the preset mapping tables of all the monitoring devices are consistent. Specifically, a signal with known signal strength is accessed to the antenna device of the monitoring device, and the signal strength indication information obtained by the analysis of the analysis device is read at the same time, so that after multiple tests, a corresponding relation table between the signal strength and the signal strength indication information, that is, a preset mapping relation, can be established.
It should be noted that the reference configuration parameter is measured for a plurality of signal processing circuit samples, and thus the reference configuration parameter is the same for all signal processing circuits and is a default value. The actual configuration parameters are obtained by individually measuring each signal processing circuit in the production process of the single board, so that each signal processing circuit corresponds to an individual actual configuration parameter, each signal processing circuit is labeled, the label of each signal processing circuit is associated with the actual configuration parameter corresponding to the signal processing circuit, and then the label of each signal processing circuit is stored in the server, and the corresponding actual configuration parameter is obtained according to the number of the signal processing circuit when needed.
Above-mentioned radio signal represents the actual value that monitoring equipment received above-mentioned radio signal's interference intensity on this frequency point at the signal intensity on every frequency point, then after obtaining radio signal's signal intensity on every frequency point, the user alright learn monitoring equipment can monitor unmanned aerial vehicle's monitoring scope on every frequency point through the intensity of the interference that this monitoring equipment received on every frequency point, and this application numbers and acquires signal processing circuit's actual configuration parameter through the signal processing circuit to the difference, can carry out more accurate calibration to every monitoring equipment, further improved the degree of accuracy of the signal intensity who assesses radio signal, also be the degree of accuracy that has improved the monitoring scope of assessing monitoring equipment.
In one embodiment, if the signal intensities of the wireless signals at the plurality of frequency points are obtained, the amplitude diagram of the signal intensities at different frequency points is displayed. For example, the signal intensities of the wireless signal at four frequency points in the 2.4G frequency band, 2.1GHZ, 2.2GHZ, 2.3GHZ, and 2.4GHZ, and at four frequency points in the 5.8G frequency band, 5.5GHZ, 5.6GHZ, 5.7GHZ, and 5.8GHZ, are obtained, and are plotted in a graph as shown in fig. 4, where the abscissa is frequency and the ordinate is signal intensity. The image reading shows that the signal intensity of the wireless signal at the frequency point of 5.5GHZ is 0, so that the interference to the monitoring equipment is minimum, the monitoring effect of the monitoring equipment on the unmanned aerial vehicle at the frequency point of 5.5GHZ is the best, and the monitoring range is the widest.
The user can know which frequency point the external wireless signal has the minimum interference to the monitoring equipment by looking up the amplitude diagrams of the signal intensity on different frequency points, and manually or automatically adjust the communication frequency point (for example, the frequency point for receiving the wireless signal) of the monitoring equipment according to the amplitude diagrams of the signal intensity on different frequency points.
In 306, the signal strength of the wireless signal at each frequency point is sent to the remote monitoring device in a wired or wireless manner (fourth generation mobile communication technology 4G, fifth generation mobile communication technology 5G, low frequency private network or ethernet), and the remote monitoring device can send the monitoring information on the interactive interface.
In this application embodiment, can whether the function of environment frequency sweep is opened in artificial selection to and whether open the function of carrying out unmanned aerial vehicle control, thereby save the consumption of monitoring equipment, and improve monitoring equipment's work efficiency, and, under the condition that two functions are all opened, this application embodiment has still realized the multiplexing of unmanned aerial vehicle monitoring equipment's monitoring link, can be used for unmanned aerial vehicle to monitor, can be used for the frequency sweep test of space wireless environment again. Therefore, the embodiment of the application realizes the monitoring and the environmental frequency sweeping of the unmanned aerial vehicle at the same time under the condition that the hardware equipment of the monitoring equipment is not added. In addition, the embodiment of the application can calibrate the signal intensity of the wireless signal obtained by looking up the table of each monitoring device, so that the accuracy of evaluating the signal intensity of the wireless signal is further improved, namely the accuracy of evaluating the monitoring range of the monitoring device is improved. In addition, this application can also obtain the signal strength of radio signal on different frequency points again for the customer is according to the signal strength of radio signal on different frequency points, thereby can learn on which frequency point, external radio signal is minimum to the interference of monitoring equipment, and adjust the communication frequency point of monitoring equipment with this as the basis. In general, the efficiency of the evaluation method is further improved by the embodiment of the application.
It should be noted that the above description of the various embodiments is intended to emphasize the differences between the various embodiments, and the same or similar parts may be referred to each other, and therefore, for brevity, the description is not repeated herein.
Based on the description of the above method embodiment, an embodiment of the present invention further provides a structural block diagram of a monitoring device as shown in fig. 5, where an internal structure of the monitoring device may include at least an antenna apparatus 510, a signal processing circuit 520, and a parsing apparatus 530.
In the embodiment of the present invention, the parsing device 530 loads and executes one or more instructions stored in the computer storage medium to implement the corresponding steps of the method in the corresponding embodiment; in a specific implementation, at least one instruction in the computer storage medium is loaded and executed by the parsing device 530. Specifically, the method comprises the following steps:
an antenna device 510 for receiving a wireless signal; a signal processing circuit 520 for processing (for example, amplifying, filtering, and a/D converting) the radio signal received by the antenna device to obtain an analysis signal; the analyzing device 530 is configured to obtain the analysis signal, determine strength indication information of the analysis signal, and estimate signal strength of the wireless signal received by the antenna device according to the strength indication information of the analysis signal, where the signal strength of the wireless signal is used to evaluate a monitoring range of the monitoring device on the drone.
In an embodiment, the parsing means 530 is specifically configured to estimate the signal strength of the wireless signal received by the antenna apparatus according to the strength indication information of the parsed signal and a preset mapping table, where the preset mapping table is used to indicate a corresponding relationship between the signal strength of the wireless signal received by the antenna apparatus and the strength indication information of the parsed signal.
In an embodiment, the parsing device 530 is specifically configured to obtain a reference configuration parameter and an actual configuration parameter of the signal processing circuit; estimating the reference signal strength of the wireless signal received by the antenna device according to the strength indication information of the analytic signal and a preset mapping table; and calibrating the reference signal strength of the wireless signal according to the reference configuration parameter and the actual configuration parameter to determine the signal strength of the wireless signal received by the antenna device.
In one embodiment, signal processing circuit 520 includes a low noise amplifier, and the reference configuration parameters and actual configuration parameters of signal processing circuit 520 include a reference gain and an actual gain of the low noise amplifier.
In an embodiment, the above listening device further includes a communication interface 540, specifically configured to send request information to a server according to the serial number of the signal processing circuit 520 to obtain the actual configuration parameters of the signal processing circuit 520.
In an embodiment, the parsing device 530 is further configured to determine strength indication information of the parsed signal at each of the multiple frequency points; and estimating the signal strength of the wireless signal received by the antenna device 510 at each of the multiple frequency points according to the strength indication information of the analyzed signal at each of the multiple frequency points.
In one embodiment, the parsing means 530 is further configured to obtain a signal strength evaluation function status; and if the signal strength evaluation function state is the opening state, determining the strength indication information of the analytic signal.
In an embodiment, the presence signal of the drone is included in the above analysis signal, so the analysis device 530 obtains the state of the drone monitoring function, and the analysis device is further configured to obtain the state of the drone monitoring function, and analyze the presence signal of the drone in the analysis signal to obtain the state information of the drone included in the presence signal when the drone monitoring function is in the on state.
In an embodiment, the state information of the drone includes at least one of position information of the drone, position information of a terminal device connected to the drone, identification information of the drone, and flight parameters of the drone.
In one embodiment, the monitoring device further comprises a communication interface 540 for transmitting the signal strength of the wireless signal to the remote monitoring device.
Wherein, in some embodiments, the communication interface 540 may be a wired communication interface; in some embodiments, the communication interface 540 may be a wireless communication interface, the communication interface 540 may be electrically connected to the antenna device 510, and the communication interface 540 may transmit the signal strength of the wireless signal or the request message through the antenna device 510.
In one embodiment, the listening device further comprises a memory for storing a computer program comprising program instructions, and accordingly, the parsing means 530 may be configured to execute the program instructions stored in the memory. The memory may include read-only memory and random access memory, among other things, and provides instructions and data to the parsing device 530. Therefore, the analyzer 530 and the memory are not limited herein.
In one embodiment, the parsing device may be a Central Processing Unit (CPU), and the processor may be other general-purpose processors, i.e. a microprocessor or any conventional processor, such as: digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable gate arrays (FPGAs) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like.
It should be noted that, for the specific working process of the monitoring device described above, reference may be made to the relevant description in the foregoing embodiments, and details are not described here again.
Based on the description of the foregoing method embodiment, in an implementation manner, an embodiment of the present invention further provides a schematic structural diagram of a monitoring device as shown in fig. 6, where the monitoring device includes a first obtaining unit 610, configured to obtain an analytic signal, where the analytic signal is obtained by processing, by a signal processing circuit of the monitoring device, a wireless signal received by an antenna apparatus of the monitoring device; a determining unit 620 is further included for determining strength indication information of the analytic signal; the unmanned aerial vehicle monitoring system further comprises an estimating unit 630, configured to estimate, according to the strength indication information of the analytic signal, a signal strength of a wireless signal received by the antenna apparatus, where the signal strength of the wireless signal is used to evaluate a monitoring range of the monitoring device to the unmanned aerial vehicle.
In an embodiment, the estimating unit 630 is configured to estimate the signal strength Pn of the wireless signal received by the antenna apparatus according to the strength indication information of the analytic signal and a preset mapping table, where the preset mapping table is used to indicate a corresponding relationship between the signal strength of the wireless signal received by the antenna apparatus and the strength indication information of the analytic signal.
In one embodiment, the estimating unit 630 includes an acquiring subunit 631, an estimating subunit 632, and a calibrating subunit 633, where the acquiring subunit 631 is configured to acquire a reference configuration parameter and an actual configuration parameter of the signal processing circuit; an estimating subunit 632, configured to estimate, according to the strength indication information of the analytic signal and the preset mapping table, the reference signal strength of the wireless signal received by the antenna apparatus; a calibration subunit 633, configured to calibrate a reference signal strength of the wireless signal according to the reference configuration parameter and the actual configuration parameter, so as to determine a signal strength of the wireless signal received by the antenna apparatus.
It should be noted that the signal processing circuit includes a low noise amplifier, and the reference configuration parameter and the actual configuration parameter of the antenna apparatus include a reference gain and an actual gain of the low noise amplifier.
In one embodiment, the first obtaining unit 610 includes a sending subunit 611 and a receiving subunit 612, where the sending subunit 611 is configured to send request information to a server according to a serial number of the signal processing circuit; the receiving subunit 612 is configured to obtain actual configuration parameters of the signal processing circuit.
In an embodiment, the determining unit 620 is configured to determine the strength indication information of the analytic signal at each of a plurality of frequency points; the estimating unit 630 is configured to estimate the signal strength of the wireless signal received by the antenna apparatus at each of the multiple frequency points according to the strength indication information of the analytic signal at each of the multiple frequency points.
In an embodiment, the above monitoring device further includes a second obtaining unit 640, configured to obtain a signal strength evaluation function state; correspondingly, the determining unit 620 is further configured to determine the strength indication information of the analytic signal if the signal strength evaluation function state is an on state.
In one embodiment, the analytic signal includes a presence signal of the drone.
In an embodiment, the above monitoring apparatus further includes an analyzing unit 650, configured to, when the drone monitoring function is in an on state, analyze a presence signal of the drone in the analysis signal to obtain status information of the drone included in the presence signal.
It should be noted that the state information of the above-mentioned unmanned aerial vehicle includes at least one of the position information of the unmanned aerial vehicle, the position information of the terminal device connected to the unmanned aerial vehicle, the identification information of the unmanned aerial vehicle, and the flight parameters of the unmanned aerial vehicle.
In one embodiment, the monitoring device further includes a transmitting unit 660, configured to transmit the signal strength of the wireless signal to a remote monitoring device.
This application acquires wireless signal's analytic signal through first acquisition element to through and confirm the unit and confirm the signal strength indicating information of analytic signal, then come the signal strength who assesses this wireless signal through the estimation unit, make the user can learn the intensity of the signal interference that this monitoring equipment received according to the signal strength of the wireless signal that monitoring equipment received, thereby learn the monitoring range that this monitoring equipment can monitor unmanned aerial vehicle. Therefore, the environment is swept by directly utilizing the monitoring equipment, and compared with the third-party frequency sweeping, the intensity of the interference on the monitoring equipment can be more accurately evaluated, and the monitoring range of the monitoring equipment can be better reflected by the intensity of the interference on the monitoring equipment.
It should be noted that, for the specific working process of the monitoring device described above, reference may be made to the relevant description in the foregoing embodiments, and details are not described here again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
While the invention has been described with reference to a number of embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (22)
1. An estimation method is applied to a monitoring device of an unmanned aerial vehicle, and is characterized by comprising the following steps:
acquiring an analytic signal, wherein the analytic signal is obtained by processing a wireless signal received by an antenna device of the monitoring equipment by a signal processing circuit of the monitoring equipment;
determining strength indication information of the analytic signal;
and estimating the signal strength of the wireless signal received by the antenna device according to the strength indication information of the analytic signal, wherein the signal strength of the wireless signal is used for evaluating the monitoring range of the monitoring equipment to the unmanned aerial vehicle.
2. The method of claim 1, wherein estimating the signal strength of the wireless signal received by the antenna apparatus according to the strength indication information of the analytic signal comprises:
and estimating the signal strength of the wireless signal received by the antenna device according to the strength indication information of the analytic signal and a preset mapping table, wherein the preset mapping table is used for indicating the corresponding relation between the signal strength of the wireless signal received by the antenna device and the strength indication information of the analytic signal.
3. The method of claim 2, wherein estimating the signal strength of the wireless signal received by the antenna apparatus according to the strength indication information of the analytic signal and a preset mapping table comprises:
acquiring reference configuration parameters and actual configuration parameters of the signal processing circuit;
estimating the reference signal strength of the wireless signal received by the antenna device according to the strength indication information of the analytic signal and the preset mapping table;
and calibrating the reference signal strength of the wireless signal according to the reference configuration parameter and the actual configuration parameter to determine the signal strength of the wireless signal received by the antenna device.
4. The method of claim 3, wherein the signal processing circuit comprises a low noise amplifier, and wherein the reference configuration parameters and the actual configuration parameters of the signal processing circuit comprise a reference gain and an actual gain of the low noise amplifier.
5. The method of claim 3 or 4, wherein the obtaining of the actual configuration parameters of the signal processing circuit comprises:
and sending request information to a server according to the serial number of the signal processing circuit so as to acquire the actual configuration parameters of the signal processing circuit.
6. The method according to any one of claims 1 to 5,
the determining the strength indication information of the analytic signal includes:
determining the intensity indication information of the analytic signal at each frequency point in a plurality of frequency points;
the estimating the signal strength of the wireless signal received by the antenna device according to the strength indication information of the analytic signal includes:
and estimating the signal intensity of the wireless signal received by the antenna device at each of the multiple frequency points according to the intensity indication information of the analytic signal at each of the multiple frequency points.
7. The method according to any one of claims 1 to 6,
before determining the strength indication information of the analytic signal, the method further includes:
acquiring a signal intensity evaluation function state;
the determining the strength indication information of the analytic signal comprises:
and if the signal strength evaluation function state is an opening state, determining the strength indication information of the analysis signal.
8. The method of claim 7, wherein the analytic signal includes a presence signal of the drone, the method further comprising:
when the unmanned aerial vehicle monitoring function is in an open state, analyzing the existence signal of the unmanned aerial vehicle in the analysis signal so as to acquire the state information of the unmanned aerial vehicle contained in the existence signal.
9. The method of claim 8, wherein the status information of the drone includes at least one of location information of the drone, location information of a terminal device connected to the drone, identification information of the drone, flight parameters of the drone.
10. The method according to any one of claims 1 to 9, wherein after estimating the signal strength of the wireless signal received by the antenna apparatus according to the strength indication information of the analytic signal, the method further comprises:
and sending the signal strength of the wireless signal to remote monitoring equipment.
11. A listening device, comprising:
the monitoring equipment comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring an analytic signal, and the analytic signal is obtained by processing a wireless signal received by an antenna device of the monitoring equipment by a signal processing circuit of the monitoring equipment;
a determining unit, configured to determine strength indication information of the analytic signal;
and the estimating unit is used for estimating the signal strength of the wireless signal received by the antenna device according to the strength indication information of the analytic signal, wherein the signal strength of the wireless signal is used for evaluating the monitoring range of the monitoring equipment to the unmanned aerial vehicle.
12. A monitoring device is characterized by comprising an antenna device, a signal processing circuit and a resolving device;
the antenna device is used for receiving wireless signals of the environment;
the signal processing circuit is used for carrying out signal processing on the wireless signals received by the antenna device to obtain analytic signals;
the analysis device is used for acquiring the analysis signal; determining strength indication information of the analytic signal; and estimating the signal strength of the wireless signal received by the antenna device according to the strength indication information of the analytic signal, wherein the signal strength of the wireless signal is used for evaluating the monitoring range of the monitoring equipment to the unmanned aerial vehicle.
13. The monitoring device according to claim 12, wherein the parsing means is specifically configured to:
and estimating the signal strength of the wireless signal received by the antenna device according to the strength indication information of the analytic signal and a preset mapping table, wherein the preset mapping table is used for indicating the corresponding relation between the signal strength of the wireless signal received by the antenna device and the strength indication information of the analytic signal.
14. The monitoring device according to claim 13, wherein the parsing means is specifically configured to:
acquiring reference configuration parameters and actual configuration parameters of the signal processing circuit;
and calibrating the reference signal strength of the wireless signal according to the reference configuration parameter and the actual configuration parameter to determine the signal strength of the wireless signal received by the antenna device.
15. The listening device of claim 14, wherein the signal processing circuit comprises a low noise amplifier, and wherein the reference configuration parameters and the actual configuration parameters of the signal processing circuit comprise a reference gain and an actual gain of the low noise amplifier.
16. Listening device as claimed in claim 14 or 15, characterized in that the listening device further comprises a communication interface for sending a request message to a server for obtaining actual configuration parameters of the signal processing circuit based on the serial number of the signal processing circuit.
17. The listening device of any one of claims 12-16, wherein the parsing means is further configured to:
determining the intensity indication information of the analytic signal at each frequency point in a plurality of frequency points;
and estimating the signal intensity of the wireless signal received by the antenna device at each of the multiple frequency points according to the intensity indication information of the analytic signal at each of the multiple frequency points.
18. The listening device of any one of claims 12-17, wherein the parsing means is further configured to:
acquiring a signal intensity evaluation function state;
and if the signal strength evaluation function state is an opening state, determining the strength indication information of the analysis signal.
19. The listening device of claim 18, wherein the analytic signal comprises a presence signal of the drone, and wherein the analytic device is further configured to:
when the unmanned aerial vehicle monitoring function is in an open state, analyzing the existence signal of the unmanned aerial vehicle in the analysis signal so as to acquire the state information of the unmanned aerial vehicle contained in the existence signal.
20. The listening device of claim 19, wherein the status information of the drone comprises at least one of location information of the drone, location information of a terminal device connected to the drone, identification information of the drone, flight parameters of the drone.
21. A listening device as claimed in any one of claims 12 to 20 wherein the listening device further comprises a communications interface for transmitting the signal strength of the wireless signal to a remote monitoring device.
22. A computer-readable storage medium, characterized in that the computer storage medium stores a computer program comprising program instructions for execution by a processor for performing the method according to any one of claims 1-10.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2018/108431 WO2020062066A1 (en) | 2018-09-28 | 2018-09-28 | Estimation method, monitoring device and computer-readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110771064A true CN110771064A (en) | 2020-02-07 |
Family
ID=69328992
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201880037336.1A Pending CN110771064A (en) | 2018-09-28 | 2018-09-28 | Estimation method, monitoring equipment and computer readable storage medium |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN110771064A (en) |
| WO (1) | WO2020062066A1 (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111027525A (en) * | 2020-03-09 | 2020-04-17 | 中国民用航空总局第二研究所 | Method, device and system for tracking potential infected persons in public places during epidemic situation |
| CN112348137A (en) * | 2020-11-30 | 2021-02-09 | 北京世拓方舟科技有限公司 | Non-connection signal processing system and method |
| CN113708786A (en) * | 2021-09-27 | 2021-11-26 | 一飞智控(天津)科技有限公司 | Formation airplane radio station signal and data acquisition method, airplane radio station, medium and application |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112532300B (en) * | 2020-11-25 | 2021-12-03 | 北京邮电大学 | Trajectory optimization and resource allocation method for single unmanned aerial vehicle backscatter communication network |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016144808A1 (en) * | 2015-03-06 | 2016-09-15 | Just Timothy | Drone encroachment avoidance monitor |
| CN106405484A (en) * | 2016-08-31 | 2017-02-15 | 成都九华圆通科技发展有限公司 | Multifunctional radio monitoring and direction finding system based on manned craft |
| CN107357310A (en) * | 2017-07-17 | 2017-11-17 | 北京京东尚科信息技术有限公司 | UAV Flight Control equipment, system, method and unmanned aerial vehicle (UAV) control method |
| CN107403536A (en) * | 2017-05-24 | 2017-11-28 | 浙江大学 | A kind of civilian unmanned plane attack early warning method based on wireless signal strength analysis |
| US20180199210A1 (en) * | 2016-03-07 | 2018-07-12 | At&T Intellectual Property I, L.P. | Supplementing network coverage with a fleet of autonomous drones |
| CN108476221A (en) * | 2017-04-07 | 2018-08-31 | 深圳市大疆创新科技有限公司 | A kind of signal processing method of unmanned plane, equipment, audiomonitor |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011089895A (en) * | 2009-10-22 | 2011-05-06 | Arata Satori | Device and method of hyperspectral imaging |
| CN106597369B (en) * | 2016-12-07 | 2019-03-26 | 中国联合网络通信集团有限公司 | A kind of control method of unmanned plane, control platform, control system |
| CN107561525A (en) * | 2017-07-21 | 2018-01-09 | 成都中电锦江信息产业有限公司 | A kind of unmanned plane target monitoring system and method based on communication base station steel tower |
| CN107968692B (en) * | 2017-11-17 | 2021-10-22 | 深圳市道通智能航空技术股份有限公司 | Unmanned aerial vehicle communication method and communication device and unmanned aerial vehicle |
-
2018
- 2018-09-28 CN CN201880037336.1A patent/CN110771064A/en active Pending
- 2018-09-28 WO PCT/CN2018/108431 patent/WO2020062066A1/en active Application Filing
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016144808A1 (en) * | 2015-03-06 | 2016-09-15 | Just Timothy | Drone encroachment avoidance monitor |
| US20180199210A1 (en) * | 2016-03-07 | 2018-07-12 | At&T Intellectual Property I, L.P. | Supplementing network coverage with a fleet of autonomous drones |
| CN106405484A (en) * | 2016-08-31 | 2017-02-15 | 成都九华圆通科技发展有限公司 | Multifunctional radio monitoring and direction finding system based on manned craft |
| CN108476221A (en) * | 2017-04-07 | 2018-08-31 | 深圳市大疆创新科技有限公司 | A kind of signal processing method of unmanned plane, equipment, audiomonitor |
| CN107403536A (en) * | 2017-05-24 | 2017-11-28 | 浙江大学 | A kind of civilian unmanned plane attack early warning method based on wireless signal strength analysis |
| CN107357310A (en) * | 2017-07-17 | 2017-11-17 | 北京京东尚科信息技术有限公司 | UAV Flight Control equipment, system, method and unmanned aerial vehicle (UAV) control method |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111027525A (en) * | 2020-03-09 | 2020-04-17 | 中国民用航空总局第二研究所 | Method, device and system for tracking potential infected persons in public places during epidemic situation |
| CN112348137A (en) * | 2020-11-30 | 2021-02-09 | 北京世拓方舟科技有限公司 | Non-connection signal processing system and method |
| CN113708786A (en) * | 2021-09-27 | 2021-11-26 | 一飞智控(天津)科技有限公司 | Formation airplane radio station signal and data acquisition method, airplane radio station, medium and application |
| CN113708786B (en) * | 2021-09-27 | 2022-09-06 | 一飞智控(天津)科技有限公司 | Formation airplane radio station signal and data acquisition method, airplane radio station, medium and application |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020062066A1 (en) | 2020-04-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110771064A (en) | Estimation method, monitoring equipment and computer readable storage medium | |
| CN107566053B (en) | Method and system for testing radio frequency index and computer readable storage medium | |
| JP6690009B2 (en) | Motion detection based on iterative wireless transmission | |
| JP4416800B2 (en) | Antenna system telemetry monitoring apparatus and method using mobile communication terminal | |
| CN103906091B (en) | Wireless aps method for testing performance and detecting system in a kind of WIFI | |
| US9392479B2 (en) | Pocket-size PIM inspector | |
| CN104811524B (en) | A kind of terminal radio frequency performance test methods and its device | |
| US10567093B1 (en) | Combined parallel processing of spectral information for a radio frequency environment | |
| CN114521012A (en) | Positioning method, positioning device, terminal equipment, base station and position management server | |
| CN111008128B (en) | Automatic test system, method and storage medium | |
| CN112085748A (en) | Radio frequency interference automatic test method, system, equipment and storage medium | |
| CN111060752A (en) | Electromagnetic radiation detection method, control terminal, device and readable storage medium | |
| EP2876920B1 (en) | Wireless transmitter network analysis tool | |
| CN106546845A (en) | A kind of method of testing and test system of test transmitter unit | |
| CN114553331B (en) | Method, device and storage medium for realizing system self-checking for radio monitoring station | |
| CN114499570A (en) | Method for transmitting information, radio frequency device and control device | |
| CN214473751U (en) | Radio frequency signal detection device | |
| Vilakazi et al. | LCSM node based on geo location spectrum database for cooperative dynamic spectrum access | |
| CN111885623A (en) | Interference testing method and device, terminal and storage medium | |
| US20190260482A1 (en) | Test arrangement and test method | |
| CN114636913A (en) | Radio frequency signal detection apparatus, radio frequency signal detection method, computer apparatus, and storage medium | |
| CN117134840B (en) | Radio communication equipment control method and radio communication equipment | |
| Ghosh | The Importance of Spectrum Measurements | |
| CN117792526B (en) | System and method for testing radio frequency performance of antenna | |
| CN116436535A (en) | Method, device, equipment and medium for detecting radio frequency performance of whole car cellular antenna |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| AD01 | Patent right deemed abandoned | ||
| AD01 | Patent right deemed abandoned |
Effective date of abandoning: 20230228 |