CN117176292B - Wireless signal positioning detection method, device, equipment and storage medium - Google Patents
Wireless signal positioning detection method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a wireless signal positioning detection method, a device, equipment and a storage medium, wherein the method comprises the following steps: acquiring a detection instruction set; transmitting a detection instruction set to a plurality of signal detectors in the region to be detected, sequentially executing preliminary signal detection of each group of frequency bands to be detected, and judging whether suspicious signals exist in each frequency band to be detected; based on the frequency band information in the suspicious list, sequentially executing fine signal detection of each group of frequency bands to be detected; and judging whether communication signals exist in each group of frequency bands to be detected according to the fine signal detection result of each signal detector. According to the invention, the preliminary signal detection is performed by controlling the indoor signal detectors to generate the suspicious list, then the fine signal detection is performed according to the suspicious list, and the communication signals in the frequency band to be detected are accurately judged through the characteristics of the energy intensity area, so that the indoor wireless secret-stealing equipment detection is fast and effective, and the normal behaviors of indoor personnel are not influenced and interrupted.
Description
Technical Field
The present invention relates to the field of wireless signal positioning detection technologies, and in particular, to a wireless signal positioning detection method, device, equipment, and storage medium.
Background
For the purpose of steal or illegal communication in indoor environments, such as a secret meeting room, a private conversation room and an examination room, a wireless steal device often transmits wireless signals through specified frequency points and sends the stealed information to a steal secret receiving device outside a scene. Positioning of wireless eavesdropping devices within a scene is a primary and critical action to prevent and deter compromise.
Currently, aiming at the wireless secret-stealing equipment countermeasure in the above scene, a security gate, a metal detector and a wireless interference device are mainly adopted. The defects of the security gate and the metal detector are as follows: the detector can only detect prohibited articles with metal, cannot detect wireless secret-stealing equipment, and cannot detect the wireless secret-stealing equipment embedded in the scene; the principle of the wireless interference device is that the wireless signals of the appointed frequency point are suppressed by transmitting the wireless signals, and the disadvantage is that the wireless communication full frequency band cannot be covered; once the working frequency point of the jammer is mastered, the communication frequency point of the illegal communication equipment avoids the suppression frequency point of the jammer, so that illegal communication can be carried out by bypassing the jammer, and the work of the wireless jammer can also necessarily influence normal wireless communication outside a designated area. There is thus a need for a detection method that can effectively detect the presence of wireless eavesdropping devices in a room without affecting and interrupting the normal behavior of personnel in the room.
The common wireless signal detection method has the problem of determining the threshold for judging the wireless signal strength. Because the wireless environments are very different, the background noise of some local wireless signals is relatively large, and the background noise of some local wireless signals is relatively small, and the difference can be tens of db. Most communication systems, the transmit power of the device is boosted based on the background noise of the wireless signal. In a low noise environment, only a small wireless signal is required to communicate, while in a high noise environment, a larger wireless signal is required to communicate. Therefore, if the detection threshold is set low, a large number of false alarms and false alarms are caused in many scenes, otherwise, the threshold is set too high, and detection is omitted in many scenes. Manual setup is a very inefficient behavior and the background noise of the wireless environment may change over time, so it is less suitable to detect using manual setup. Therefore, how to realize the fast and effective detection of the indoor wireless secret-stealing equipment without affecting and interrupting the normal behaviors of indoor personnel is a technical problem to be solved urgently.
The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art.
Disclosure of Invention
The invention mainly aims to provide a wireless signal positioning detection method, a device, equipment and a storage medium, which aim to solve the technical problem of how to realize rapid and effective detection of indoor wireless secret-stealing equipment without influencing and interrupting normal behaviors of indoor personnel.
In order to achieve the above object, the present invention provides a wireless signal positioning detection method, which includes the following steps:
acquiring a detection instruction set; the detection instruction set comprises a plurality of detection instructions, and each detection instruction corresponds to a group of frequency bands to be detected;
the detection instruction set is sent to a plurality of signal detectors in the region to be detected, so that each signal detector sequentially executes preliminary signal detection of each group of frequency bands to be detected;
judging whether suspicious signals exist in each detection frequency band according to the preliminary signal detection result and the historical detection result of each signal detector, and adding the frequency band information of the suspicious signals to a suspicious list;
generating a fine detection instruction set based on the frequency band information in the suspicious list, and sending the fine detection instruction set to a plurality of signal detectors in a region to be detected, so that each signal detector sequentially executes fine signal detection of each group of frequency bands to be detected;
and judging whether communication signals exist in each group of frequency bands to be detected according to the fine signal detection result of each signal detector.
Optionally, the step of acquiring the detection instruction set specifically includes:
acquiring a detection starting signal; the detection starting signal comprises a frequency range to be detected;
dividing the frequency range to be detected according to the detection starting signal to generate a detection instruction set consisting of a plurality of detection instructions; each detection instruction corresponds to a group of frequency bands to be detected, and the frequency band range covered by all the frequency bands to be detected is larger than the frequency band range to be monitored.
Optionally, the plurality of signal detectors are uniformly disposed in the area to be detected, and each signal detector is connected to a detection controller for sending a detection instruction set.
Optionally, after each signal detector sequentially performs the step of preliminary signal detection of each group of frequency bands to be detected, the method further includes:
according to the preliminary signal detection results of each group of frequency bands to be detected, extracting actual interference noise in a region to be detected;
and adjusting the detection parameters of each signal detector according to the actual interference noise and the standard interference noise parameters, wherein the standard interference noise parameters comprise a standard interference noise average value and a standard interference noise variance value.
Optionally, the step of adjusting the detection parameter of each signal detector specifically includes:
when the actual interference noise average value is larger than the standard interference noise average value, the detection threshold parameter of each signal detector is improved; and
and when the actual interference noise variance value is larger than the standard interference noise variance value, increasing the detection window parameter of each signal detector.
Optionally, the step of determining whether a suspicious signal exists in each detection frequency band according to the preliminary signal detection result and the history detection result of each signal detector specifically includes:
taking the detection value of the history detection result as a parameter set of a smoothing algorithm, bringing the detection value of the preliminary signal detection result into the parameter set, and extracting statistical characteristic data of the preliminary signal detection result;
judging that the statistical characteristic data of the preliminary signal detection result can keep the same statistical characteristic as the noise interference on a time axis, and if yes, judging that suspicious signals exist in the detection frequency band; if not, judging that the detection frequency band does not have suspicious signals.
Optionally, the step of determining whether a communication signal exists in each group of frequency bands to be detected according to a fine signal detection result of each signal detector specifically includes:
generating an energy intensity graph of the region to be detected according to the fine signal detection result of each signal detector;
judging whether communication signals exist in each group of frequency bands to be detected or not based on the energy intensity diagram;
when an energy intensity region with the omnidirectional gradient characteristic decreasing from the center to the periphery appears in the energy intensity graph, the communication signal is determined to be in the current detection frequency band in the region to be detected, and the communication signal is positioned in the region surrounded by the energy intensity regions.
In addition, in order to achieve the above object, the present invention also provides a wireless signal positioning detection device, including:
the acquisition module is used for acquiring a detection instruction set; the detection instruction set comprises a plurality of detection instructions, and each detection instruction corresponds to a group of frequency bands to be detected;
the sending module is used for sending the detection instruction set to a plurality of signal detectors in the region to be detected, so that each signal detector sequentially executes preliminary signal detection of each group of frequency bands to be detected;
the adding module is used for judging whether suspicious signals exist in each detection frequency band according to the preliminary signal detection result and the historical detection result of each signal detector, and adding the frequency band information of the suspicious signals to a suspicious list;
the generation module is used for generating a fine detection instruction set based on the frequency band information in the suspicious list, and sending the fine detection instruction set to a plurality of signal detectors in a region to be detected so that each signal detector can sequentially execute fine signal detection of each group of frequency bands to be detected;
and the judging module is used for judging whether communication signals exist in each group of frequency bands to be detected according to the fine signal detection result of each signal detector.
In addition, in order to achieve the above object, the present invention also provides a wireless signal positioning detection apparatus, the apparatus comprising: the wireless signal positioning detection method comprises the steps of a memory, a processor and a wireless signal positioning detection program which is stored in the memory and can run on the processor, wherein the wireless signal positioning detection program is executed by the processor to realize the wireless signal positioning detection method.
In addition, in order to achieve the above object, the present invention also provides a storage medium having stored thereon a wireless signal positioning detection program which, when executed by a processor, implements the steps of the wireless signal positioning detection method described above.
The invention has the beneficial effects that: according to the wireless signal positioning detection method, the device, the equipment and the storage medium, a suspicious list is generated by performing preliminary signal detection through a plurality of signal detectors in a control room, then fine signal detection is performed according to the suspicious list, communication signals in a frequency band to be detected are accurately judged through the characteristics of an energy intensity area, and the detection of the indoor wireless secret-stealing equipment is fast and effective, and normal behaviors of indoor personnel are not influenced and interrupted.
Drawings
FIG. 1 is a schematic diagram of a device structure of a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a flow chart of an embodiment of a wireless signal positioning detection method according to the present invention;
fig. 3 is a schematic structural diagram of an embodiment of a wireless signal positioning detection device according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic diagram of an apparatus structure of a hardware running environment according to an embodiment of the present invention.
As shown in fig. 1, the apparatus may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the arrangement of the apparatus shown in fig. 1 is not limiting and may include more or fewer components than shown, or certain components may be combined, or a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a wireless signal positioning detection program may be included in a memory 1005 as one type of computer storage medium.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a background server and performing data communication with the background server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to invoke the wireless signal location detection program stored in the memory 1005 and perform the following operations:
acquiring a detection instruction set; the detection instruction set comprises a plurality of detection instructions, and each detection instruction corresponds to a group of frequency bands to be detected;
the detection instruction set is sent to a plurality of signal detectors in the region to be detected, so that each signal detector sequentially executes preliminary signal detection of each group of frequency bands to be detected;
judging whether suspicious signals exist in each detection frequency band according to the preliminary signal detection result and the historical detection result of each signal detector, and adding the frequency band information of the suspicious signals to a suspicious list;
generating a fine detection instruction set based on the frequency band information in the suspicious list, and sending the fine detection instruction set to a plurality of signal detectors in a region to be detected, so that each signal detector sequentially executes fine signal detection of each group of frequency bands to be detected;
and judging whether communication signals exist in each group of frequency bands to be detected according to the fine signal detection result of each signal detector.
The specific embodiment of the present invention applied to the device is basically the same as each embodiment of the following method for applying the wireless signal positioning detection, and will not be described herein.
The embodiment of the invention provides a wireless signal positioning detection method, referring to fig. 2, fig. 2 is a flow chart of an embodiment of the wireless signal positioning detection method of the invention.
In this embodiment, the wireless signal positioning detection method includes the following steps:
step S100, obtaining a detection instruction set; the detection instruction set comprises a plurality of detection instructions, and each detection instruction corresponds to a group of frequency bands to be detected;
step S200, the detection instruction set is sent to a plurality of signal detectors in a region to be detected, so that each signal detector sequentially executes preliminary signal detection of each group of frequency bands to be detected;
step S300, judging whether suspicious signals exist in each detection frequency band according to the preliminary signal detection result and the history detection result of each signal detector, and adding the frequency band information of the suspicious signals to a suspicious list;
step S400, generating a fine detection instruction set based on the frequency band information in the suspicious list, and sending the fine detection instruction set to a plurality of signal detectors in a to-be-detected area so that each signal detector sequentially executes fine signal detection of each group of to-be-detected frequency bands;
and step S500, judging whether communication signals exist in each group of frequency bands to be detected according to the fine signal detection result of each signal detector.
In a preferred embodiment, the step of obtaining a detection instruction set specifically includes: acquiring a detection starting signal; the detection starting signal comprises a frequency range to be detected; dividing the frequency range to be detected according to the detection starting signal to generate a detection instruction set consisting of a plurality of detection instructions; each detection instruction corresponds to a group of frequency bands to be detected, and the frequency band range covered by all the frequency bands to be detected is larger than the frequency band range to be monitored.
In a preferred embodiment, a plurality of signal detectors are uniformly disposed in the area to be detected, and each signal detector is connected to a detection controller for transmitting a detection instruction set.
In a preferred embodiment, after each of the signal detectors performs the preliminary signal detection step of each group of frequency bands to be detected in sequence, the method further includes: according to the preliminary signal detection results of each group of frequency bands to be detected, extracting actual interference noise in a region to be detected; and adjusting the detection parameters of each signal detector according to the actual interference noise and the standard interference noise parameters, wherein the standard interference noise parameters comprise a standard interference noise average value and a standard interference noise variance value.
In a preferred embodiment, the step of adjusting the detection parameter of each signal detector specifically includes: when the actual interference noise average value is larger than the standard interference noise average value, the detection threshold parameter of each signal detector is improved; and increasing a detection window parameter of each of the signal detectors when the actual interference noise variance value is greater than the standard interference noise variance value.
In a preferred embodiment, the step of determining whether there is a suspicious signal in each detection frequency band according to the preliminary signal detection result and the historical detection result of each signal detector specifically includes: taking the detection value of the history detection result as a parameter set of a smoothing algorithm, bringing the detection value of the preliminary signal detection result into the parameter set, and extracting statistical characteristic data of the preliminary signal detection result; judging that the statistical characteristic data of the preliminary signal detection result can keep the same statistical characteristic as the noise interference on a time axis, and if yes, judging that suspicious signals exist in the detection frequency band; if not, judging that the detection frequency band does not have suspicious signals.
In a preferred embodiment, the step of determining whether there is a communication signal in each group of frequency bands to be detected according to a fine signal detection result of each signal detector specifically includes: generating an energy intensity graph of the region to be detected according to the fine signal detection result of each signal detector; judging whether communication signals exist in each group of frequency bands to be detected or not based on the energy intensity diagram; when an energy intensity region with the omnidirectional gradient characteristic decreasing from the center to the periphery appears in the energy intensity graph, the communication signal is determined to be in the current detection frequency band in the region to be detected, and the communication signal is positioned in the region surrounded by the energy intensity regions.
Therefore, in this embodiment, a wireless signal positioning detection method is provided, in which a plurality of signal detectors in a control room perform preliminary signal detection to generate a suspicious list, then perform fine signal detection according to the suspicious list, accurately judge a communication signal in a frequency band to be detected through the characteristics of an energy intensity area, and quickly and effectively detect indoor wireless secret-stealing equipment without affecting and interrupting normal behaviors of indoor personnel.
For the purpose of more clear explanation of the present application, the following provides a specific example of the wireless signal positioning detection method in practical application, where the specific example includes the following specific implementation steps:
(1) A plurality of signal detectors are arranged in a target detection area, and are uniformly distributed and arranged in the target detection area, and each signal detector is connected with a detection controller;
(2) Dividing the signal detection range into a plurality of groups of detection frequency bands according to requirements;
(3) Using all the signal detectors and a detection controller to detect a plurality of groups of detection frequency bands in time-sharing sequence;
(4) When each detection frequency band is detected, all the signal detectors send sampling data of the detection frequency band to a detection controller;
(5) And the detection controller performs unified processing and analysis on the sampling data reported by all the signal detectors. Statistical information of inherent background noise and inherent interference existing in each detection frequency band is determined by carrying out algorithm analysis on all detection from all signal detectors in each frequency band and each period. The size of the frequency band and the length of the period can be customized, for example, the 10Mhz bandwidth is one frequency band, and the 100ms continuous time is one period. For each frequency band and the signals in the period, energy statistics of finer granularity, such as one sampling point per 1us, etc., are performed, so that a distribution diagram of the energy in each frequency band and each period with time is obtained. For energy distribution situations of a plurality of continuous periods, various mature algorithms can be adopted, such as statistical properties of average values, variance values and the like. These statistics include information of inherent background noise and inherent interference;
(6) The detection controller dynamically adjusts the detection algorithm parameters of each detection frequency band through the data measurement of the inherent background noise and the inherent interference. When the average value of the background noise and the inherent interference is large, the detection threshold related parameter needs to be correspondingly improved, otherwise, the detection threshold related parameter needs to be reduced. When the variance value of the background noise is large, the size of the detection window needs to be increased, and the like;
(7) The detection controller judges whether suspicious wireless signals possibly exist in each detection frequency band or not based on the detection algorithm, the current measurement value and the historical measurement value through the latest detection algorithm parameters, and adds suspicious frequency band information and time information into a suspicious list; because the detected signal is always continuous noise or continuous communication signal itself is difficult to accurately delimit, the algorithm requires a learning process, which is a long history of data. It is difficult for communication signals to maintain continuity and consistency of statistical properties over time, while noise and interference may exhibit significant statistical properties. Therefore, by taking the historical measured value as a parameter set of a typical smoothing algorithm and bringing the latest measured value in, more accurate detection judgment can be obtained.
(8) The detection controller coordinates each signal detector for a frequency band in the suspicious list, performs longer detection in the frequency band, and then performs secondary fine analysis by using longer detection data to determine whether the signal detector is a false alarm or indeed a suspicious signal.
(9) Since there are multiple sets of signal detectors detecting simultaneously, for noise signals, interference signals, and normal communication signals, there are also significant differences in statistical characteristics among the detected values of the multiple detection points. For a normal background noise signal, all detection points will detect a substantially uniform energy intensity. For external interference signals, since the interference source is external, all detection points will show a distinct unidirectional gradient characteristic, i.e. detection points close to the interference source will see higher energy and detection points far from the interference source will see lower energy. For a normal communication signal in the detection area, all detection points can obviously see the omnidirectional gradient characteristic that the center is reduced to the periphery. From these detection characteristics, the background noise, the intensity of the inherent interference, and the detection of the normal communication signal can be more accurately analyzed.
(10) Because the common communication signal has obvious omnidirectional gradient characteristics from the center to the periphery in energy, the suspicious signal can be accurately judged in which area through the characteristics. I.e. the area enclosed by the points where the detected energy is strongest.
The target detection area needs to be provided with a plurality of signal detectors, each signal detector can be provided with independent radio frequency and digital units, or can be just a radio frequency unit, and the digital units are uniformly arranged on the detection controller. And the signal detector needs to be deployed as uniformly as possible in the whole detection area; the frequency range requirement can be flexibly expanded for suspicious frequency range requirements. By dividing all detection frequency bands into a plurality of independent or intersection sub-frequency bands, detection is performed in a time-sharing manner. Therefore, the hardware cost is saved, and the detection precision can be improved;
when each sub-frequency band is detected, all signal detectors are used for collecting wireless signals of the same detection frequency band and converging the wireless signals to a detection controller in a unified way; and the detection controller is used for uniformly processing and analyzing the digital signals from all the signal detectors. Determining statistical information of inherent background noise and inherent interference existing in each detection frequency band in a detection area by carrying out algorithm analysis on all detection from all signal detectors in each frequency band and each period; in the detection controller, the detection algorithm parameters of each detection frequency band are dynamically adjusted through information such as data measurement of inherent background noise and inherent interference;
the detection controller judges whether suspicious wireless signals possibly exist in each detection frequency band or not based on the detection algorithm, the current measurement value and the historical measurement value through the latest detection algorithm parameters, and adds suspicious frequency band information and time information into a suspicious list; the detection controller coordinates each signal detector for a frequency band in the suspicious list, performs longer detection in the frequency band, then performs secondary fine analysis by using longer detection data, determines whether the signal is a false alarm or indeed a suspicious signal, and determines the approximate position of the suspicious signal in the target detection area.
Therefore, according to the method, whether wireless equipment which is not allowed to exist, namely the secret stealing equipment exists in a target protection area and a target protection frequency band or not can be judged in a self-adaptive mode for any scene, and various limitations of indoor wireless secret stealing equipment detection in the prior art are solved.
In addition, as shown in fig. 3, the present invention further provides a wireless signal positioning detection device, where the wireless signal positioning detection device includes:
an acquisition module 10 for acquiring a detection instruction set; the detection instruction set comprises a plurality of detection instructions, and each detection instruction corresponds to a group of frequency bands to be detected;
the sending module 20 is configured to send the detection instruction set to a plurality of signal detectors in a to-be-detected area, so that each signal detector sequentially performs preliminary signal detection of each group of to-be-detected frequency bands;
an adding module 30, configured to determine whether there is a suspicious signal in each detection frequency band according to the preliminary signal detection result and the history detection result of each signal detector, and add the frequency band information of the suspicious signal to a suspicious list;
a generating module 40, configured to generate a fine detection instruction set based on the frequency band information in the suspicious list, and send the fine detection instruction set to a plurality of signal detectors in a to-be-detected area, so that each signal detector sequentially performs fine signal detection of each group of to-be-detected frequency bands;
and the judging module 50 is configured to judge whether a communication signal exists in each group of frequency bands to be detected according to the fine signal detection result of each signal detector.
Other embodiments or specific implementation manners of the wireless signal positioning detection device of the present invention may refer to the above method embodiments, and are not described herein.
In addition, the invention also provides a wireless signal positioning detection device, which comprises a memory, a processor and a wireless signal positioning detection program stored on the memory and capable of running on the processor, wherein: the wireless signal positioning detection program realizes the wireless signal positioning detection method according to each embodiment of the invention when being executed by the processor.
The specific implementation manner of the wireless signal positioning detection device is basically the same as the above embodiments of the wireless signal positioning detection method, and will not be repeated here.
Furthermore, the invention also proposes a readable storage medium comprising a computer readable storage medium having stored thereon. The readable storage medium may be a Memory 1005 in the terminal of fig. 1, or may be at least one of a ROM (Read-Only Memory)/RAM (Random Access Memory ), a magnetic disk, and an optical disk, and the readable storage medium includes several instructions for causing a wireless signal location detecting apparatus having a processor to perform the wireless signal location detecting method according to the embodiments of the present invention.
The specific implementation manner of the wireless signal positioning detection program in the readable storage medium is basically the same as the above embodiments of the wireless signal positioning detection method, and will not be repeated here.
It is appreciated that in the description herein, reference to the terms "one embodiment," "another embodiment," "other embodiments," or "first through nth embodiments," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (8)
1. A method for detecting the positioning of a wireless signal, the method comprising the steps of:
acquiring a detection instruction set; the detection instruction set comprises a plurality of detection instructions, and each detection instruction corresponds to a group of frequency bands to be detected;
the detection instruction set is sent to a plurality of signal detectors in the region to be detected, so that each signal detector sequentially executes preliminary signal detection of each group of frequency bands to be detected;
judging whether suspicious signals exist in each detection frequency band according to the preliminary signal detection result and the historical detection result of each signal detector, and adding the frequency band information of the suspicious signals to a suspicious list; the step of judging whether suspicious signals exist in each detection frequency band according to the preliminary signal detection result and the historical detection result of each signal detector specifically comprises the following steps:
taking the detection value of the history detection result as a parameter set of a smoothing algorithm, bringing the detection value of the preliminary signal detection result into the parameter set, and extracting statistical characteristic data of the preliminary signal detection result;
judging that the statistical characteristic data of the preliminary signal detection result can keep the same statistical characteristic as the noise interference on a time axis, and if yes, judging that suspicious signals exist in the detection frequency band; if not, judging that the detection frequency band does not have suspicious signals;
generating a fine detection instruction set based on the frequency band information in the suspicious list, and sending the fine detection instruction set to a plurality of signal detectors in a region to be detected, so that each signal detector sequentially executes fine signal detection of each group of frequency bands to be detected;
judging whether communication signals exist in each group of frequency bands to be detected according to the fine signal detection result of each signal detector; the step of judging whether communication signals exist in each group of frequency bands to be detected according to the fine signal detection result of each signal detector specifically comprises the following steps:
generating an energy intensity graph of the region to be detected according to the fine signal detection result of each signal detector;
judging whether communication signals exist in each group of frequency bands to be detected or not based on the energy intensity diagram;
when an energy intensity region with the omnidirectional gradient characteristic decreasing from the center to the periphery appears in the energy intensity graph, the communication signal is determined to be in the current detection frequency band in the region to be detected, and the communication signal is positioned in the region surrounded by the energy intensity regions.
2. The method for detecting the positioning of a wireless signal according to claim 1, wherein the step of obtaining a detection instruction set comprises:
acquiring a detection starting signal; the detection starting signal comprises a frequency range to be detected;
dividing the frequency range to be detected according to the detection starting signal to generate a detection instruction set consisting of a plurality of detection instructions; each detection instruction corresponds to a group of frequency bands to be detected, and the frequency band range covered by all the frequency bands to be detected is larger than the frequency band range to be monitored.
3. The method of claim 1, wherein a plurality of signal detectors are uniformly disposed in the area to be detected, and each signal detector is connected to a detection controller for transmitting a detection instruction set.
4. The wireless signal location detection method of claim 1, wherein after each of said signal detectors performs the preliminary signal detection step of each set of frequency bands to be detected in sequence, said method further comprises:
according to the preliminary signal detection results of each group of frequency bands to be detected, extracting actual interference noise in a region to be detected;
and adjusting the detection parameters of each signal detector according to the actual interference noise and the standard interference noise parameters, wherein the standard interference noise parameters comprise a standard interference noise average value and a standard interference noise variance value.
5. The method for detecting the positioning of wireless signals as claimed in claim 4, wherein the step of adjusting the detection parameters of each signal detector comprises:
when the actual interference noise average value is larger than the standard interference noise average value, the detection threshold parameter of each signal detector is improved; and
and when the actual interference noise variance value is larger than the standard interference noise variance value, increasing the detection window parameter of each signal detector.
6. A wireless signal location detection apparatus, the wireless signal location detection apparatus comprising:
the acquisition module is used for acquiring a detection instruction set; the detection instruction set comprises a plurality of detection instructions, and each detection instruction corresponds to a group of frequency bands to be detected;
the sending module is used for sending the detection instruction set to a plurality of signal detectors in the region to be detected, so that each signal detector sequentially executes preliminary signal detection of each group of frequency bands to be detected;
the adding module is used for judging whether suspicious signals exist in each detection frequency band according to the preliminary signal detection result and the historical detection result of each signal detector, and adding the frequency band information of the suspicious signals to a suspicious list; judging whether suspicious signals exist in each detection frequency band according to the preliminary signal detection result and the historical detection result of each signal detector, and specifically comprising the following steps:
taking the detection value of the history detection result as a parameter set of a smoothing algorithm, bringing the detection value of the preliminary signal detection result into the parameter set, and extracting statistical characteristic data of the preliminary signal detection result;
judging that the statistical characteristic data of the preliminary signal detection result can keep the same statistical characteristic as the noise interference on a time axis, and if yes, judging that suspicious signals exist in the detection frequency band; if not, judging that the detection frequency band does not have suspicious signals;
the generation module is used for generating a fine detection instruction set based on the frequency band information in the suspicious list, and sending the fine detection instruction set to a plurality of signal detectors in a region to be detected so that each signal detector can sequentially execute fine signal detection of each group of frequency bands to be detected;
the judging module is used for judging whether communication signals exist in each group of frequency bands to be detected according to the fine signal detection result of each signal detector; according to the fine signal detection result of each signal detector, judging whether communication signals exist in each group of frequency bands to be detected or not, specifically including:
generating an energy intensity graph of the region to be detected according to the fine signal detection result of each signal detector;
judging whether communication signals exist in each group of frequency bands to be detected or not based on the energy intensity diagram;
when an energy intensity region with the omnidirectional gradient characteristic decreasing from the center to the periphery appears in the energy intensity graph, the communication signal is determined to be in the current detection frequency band in the region to be detected, and the communication signal is positioned in the region surrounded by the energy intensity regions.
7. A wireless signal positioning detection apparatus, characterized in that the wireless signal positioning detection apparatus comprises: a memory, a processor and a wireless signal location detection program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the wireless signal location detection method of any of claims 1 to 5.
8. A storage medium having stored thereon a wireless signal location detection program which, when executed by a processor, implements the steps of the wireless signal location detection method according to any one of claims 1 to 5.
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