Channel adaptive tracking tunnel antenna

Abstract

The invention discloses a channel adaptive tracking tunnel antenna, comprising: a multi-band signal processing system, which is used for automatically selecting an optimal signal band according to a propagation condition in a tunnel; the phased-array antenna unit is used for carrying out beam forming and direction adjustment on a selected frequency band; the environment monitoring module is used for collecting environment information in the tunnel in real time; and the control unit is used for adjusting the working states of the multi-band signal processing system and the phased-array antenna unit according to the data provided by the environment monitoring module. Through automatic selection of the optimal signal frequency band, the method can adapt to a complex propagation environment in a tunnel, improves the communication reliability and efficiency, carries out the precise beam forming and direction adjustment on a specific frequency band through the phased-array antenna unit, provides more stable and directional signal coverage, and improves the signal quality.

Description

Technical Field

[0001] The invention relates to the technical field of signal transmission, and in particular to a channel adaptive tracking tunnel antenna. Background Art

[0002] The channel adaptive tracking tunnel antenna is an antenna system that can automatically track the signal transmission path and make adaptive adjustments. The system is usually composed of multiple antenna elements, phase modulators, signal processors and controllers. During the signal transmission process, the channel adaptive tracking tunnel antenna can monitor the changes in the signal transmission path in real time, and automatically adjust the position and direction of the antenna according to the real-time feedback information to optimize the signal transmission path. This adaptive performance makes the signal transmission quality more stable and reliable, and can also improve the channel bandwidth and transmission speed. The channel adaptive tracking tunnel antenna is widely used in wireless communication systems in complex environments such as underground tunnels, underground mines, and submarine cables to improve the quality and reliability of signal transmission.

[0003] At present, the existing channel adaptive tracking tunnel antenna can only use a single signal frequency band separately, which makes it impossible to adapt to the complex propagation environment in the tunnel, resulting in unstable communication and low efficiency. In addition, since it is impossible to perform precise beamforming and direction adjustment on the frequency band, the signal coverage is not stable enough and the signal quality is poor. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a channel adaptive tracking tunnel antenna, which solves the problem that the existing channel adaptive tracking tunnel antenna can only use a single signal frequency band separately, making it impossible to adapt to the complex propagation environment in the tunnel, resulting in unstable communication and low efficiency. In addition, since it is impossible to perform precise beam forming and direction adjustment on the frequency band, the signal coverage is not stable enough and the signal quality is poor.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: A channel adaptive tracking tunnel antenna, comprising: A multi-band signal processing system, wherein the multi-band signal processing system is used to automatically select an optimal signal frequency band according to propagation conditions in the tunnel; A phased array antenna unit, wherein the phased array antenna unit is used to perform beam forming and direction adjustment on a selected frequency band; An environmental monitoring module, which is used to collect environmental information in the tunnel in real time; A control unit, wherein the control unit adjusts the working state of the multi-band signal processing system and the phased array antenna unit according to the data provided by the environment monitoring module to optimize the reception and transmission quality of the signal; The output end of the control unit is electrically connected to the input ends of the multi-band signal processing system, the phased array antenna unit and the environment monitoring module respectively, and the output end of the multi-band signal processing system is electrically connected to the input end of the phased array antenna unit.

[0006] Preferably, the multi-band signal processing system includes a broadband, multi-band support module, a reconstruction module, a radio frequency front end and link module, an intelligent wireless system compatible module and a multi-band collaborative deployment technology module. The broadband, multi-band support module can process and transmit high-frequency band and large-bandwidth signals to meet the needs of different frequency bands. The reconstruction module has a reconfigurable feature and can adjust the signal processing method according to different application requirements. The radio frequency front end and link module are responsible for signal reception, amplification, filtering and transmission. The intelligent wireless system compatible module can adapt to the requirements of a new generation of intelligent wireless systems, including large-bandwidth, multi-band signal processing and transmission. The multi-band collaborative deployment technology module can achieve full-scene coverage and efficiently coordinate multiple frequency bands.

[0007] Preferably, the environmental monitoring module includes a path loss monitoring unit, a channel impulse response monitoring unit, a root mean square delay spread monitoring unit, an angle monitoring unit, a MIMO amplitude matrix monitoring unit, a channel matrix singular value monitoring unit and a channel capacity monitoring unit. The path loss monitoring unit monitors the energy attenuation of the signal during propagation in the tunnel. The channel impulse response monitoring unit can understand the propagation characteristics of the signal in the tunnel environment, including multipath effect and delay diffusion, by analyzing the impulse response of the channel. The root mean square delay spread monitoring unit is used to evaluate the degree of delay diffusion caused by multipath propagation of the signal in the tunnel. The angle monitoring unit includes the monitoring of the arrival angle and the departure angle, which is used to locate and track mobile users. The MIMO amplitude matrix monitoring unit is used to optimize signal transmission and reception. The channel matrix singular value monitoring unit can understand the transmission characteristics of the channel, optimize the signal processing algorithm and improve the communication efficiency by analyzing the singular values ​​of the channel matrix. The channel capacity monitoring unit evaluates the maximum data transmission rate of the wireless channel in the tunnel environment, providing a theoretical upper limit reference for system design.

[0008] Preferably, the multi-band signal processing system further comprises a bandpass filter group, and the bandpass filter group is used to select different signal frequency bands according to the instruction of the control unit.

[0009] Preferably, the phased array antenna unit comprises a plurality of electronically controllable radiating elements, and the plurality of electronically controllable radiating elements can independently adjust phases to form directional or omnidirectional beams.

[0010] Preferably, the control unit includes an adaptive algorithm, which predicts future changes in signal propagation conditions based on historical data and real-time monitoring data, and adjusts signal processing parameters and antenna pointing accordingly.

[0011] Preferably, the adaptive algorithm is one or more of a minimum mean square error algorithm, a recursive least squares algorithm, a Kalman filter, a ray tracing method, an incident and bounce ray method, a machine learning algorithm, deep learning, and a multiple-input multiple-output technology.

[0012] Preferably, the channel adaptive tracking tunnel antenna further comprises a power management module, and the power management module optimizes energy consumption according to the working state of the antenna and the output of the environment monitoring module.

[0013] The present invention provides a channel adaptive tracking tunnel antenna. It has the following beneficial effects: The present invention automatically selects the optimal signal frequency band, and the system can adapt to the complex propagation environment in the tunnel and improve the reliability and efficiency of communication.

[0014] The present invention can perform precise beam forming and direction adjustment in a specific frequency band through a phased array antenna unit, thereby providing more stable and directional signal coverage and enhancing signal quality.

[0015] The present invention collects environmental information in the tunnel in real time through the environmental monitoring module, such as path loss, channel impulse response, etc., to provide key data for system adjustment.

[0016] The present invention optimizes the reception and transmission of signals by combining the control unit with environmental monitoring data and adjusting the signal processing system and the phased array antenna unit, thereby enhancing the system's adaptability to a changing environment.

[0017] The present invention can achieve full-scenario coverage through multi-band collaborative deployment of technical modules, and maintain efficient communication connections even in the presence of multiple propagation effects in a tunnel environment.

[0018] The present invention optimizes energy consumption according to working status and environmental data through a power management module, thereby improving the energy efficiency of the system, and is particularly suitable for remote or difficult-to-maintain tunnel environments.

[0019] The present invention embeds advanced adaptive algorithms such as minimum mean square error, Kalman filter and machine learning algorithm in the control unit, which can predict changes in signal propagation conditions and make adjustments in advance to maintain communication quality.

[0020] The present invention provides monitoring of the arrival angle and the departure angle through the angle monitoring unit, which is helpful for locating and tracking the mobile users in the tunnel, and is particularly important for positioning and rescue in emergency situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 is a flow chart of the present invention; Figure 2 It is a schematic diagram of the structure of the multi-band signal processing system of the present invention; Figure 3 It is a schematic diagram of the structure of the environment monitoring module of the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. Example

[0023] Please see attached Figure 1 - Attachment Figure 3 , an embodiment of the present invention provides a channel adaptive tracking tunnel antenna, comprising: Multi-band signal processing system, which is used to automatically select the optimal signal frequency band according to the propagation conditions in the tunnel; A phased array antenna unit, the phased array antenna unit is used to perform beam forming and direction adjustment on a selected frequency band; Environmental monitoring module, which is used to collect environmental information in the tunnel in real time; A control unit, which adjusts the working state of the multi-band signal processing system and the phased array antenna unit according to the data provided by the environment monitoring module to optimize the reception and transmission quality of the signal; The output end of the control unit is electrically connected to the input ends of the multi-band signal processing system, the phased array antenna unit and the environment monitoring module respectively, and the output end of the multi-band signal processing system is electrically connected to the input end of the phased array antenna unit.

[0024] The multi-band signal processing system includes broadband, multi-band support module, reconstruction module, RF front-end and link module, intelligent wireless system compatibility module and multi-band collaborative deployment technology module. The broadband, multi-band support module can process and transmit high-frequency band and large-band signals to meet the needs of different frequency bands. The reconstruction module is reconfigurable and can adjust the signal processing method according to different application requirements. The RF front-end and link module is responsible for signal reception, amplification, filtering and transmission. The intelligent wireless system compatibility module can adapt to the requirements of the new generation of intelligent wireless systems, including large-bandwidth, multi-band signal processing and transmission. The multi-band collaborative deployment technology module can achieve full-scene coverage and efficiently coordinate multiple frequency bands. Specifically, as an important part of modern communication technology, the improvement of the function and performance of the multi-band signal processing system is of vital significance to improving the efficiency and stability of the entire communication system. The system is mainly composed of the following six modules: broadband, multi-band support module, reconstruction module, RF front-end and link module, intelligent wireless system compatibility module and multi-band collaborative deployment technology module. The broadband, multi-band support module is the basic part of the system, and its main function is to process and transmit high-frequency and large-bandwidth signals. This module can meet the needs of different frequency bands and provide stable signal support for the entire communication system. Through this module, the system can achieve efficient information transmission and adapt to various complex communication environments. The reconstruction module has the characteristics of reconfigurability, and can adjust the signal processing method according to different application requirements. The flexibility of this module enables the system to show good adaptability in different scenarios, further improving the performance of the communication system. The RF front-end and link module is responsible for signal reception, amplification, filtering and transmission. This module effectively processes the signal to ensure that the loss and distortion of the signal during transmission are minimized, thereby improving the communication quality. The intelligent wireless system compatibility module is designed to meet the requirements of the new generation of intelligent wireless systems. It can realize large bandwidth, multi-band signal processing and transmission, meeting the high-speed, efficient and intelligent development trend of modern communication technology. The multi-band collaborative deployment technology module is the key to achieving full-scenario coverage. It can efficiently coordinate multiple frequency bands, so that the system can achieve high-quality signal coverage in various environments, further improving the overall performance of the communication system. In summary, the multi-band signal processing system realizes efficient, stable and intelligent signal processing and transmission through the collaborative work of these six modules.

[0025] The environment monitoring module includes a path loss monitoring unit, a channel impulse response monitoring unit, a root mean square delay spread monitoring unit, an angle monitoring unit, a MIMO amplitude matrix monitoring unit, a channel matrix singular value monitoring unit and a channel capacity monitoring unit. The path loss monitoring unit monitors the energy attenuation of the signal during propagation in the tunnel. The channel impulse response monitoring unit can understand the propagation characteristics of the signal in the tunnel environment, including multipath effect and delay spread, by analyzing the impulse response of the channel. The root mean square delay spread monitoring unit is used to evaluate the delay spread caused by the multipath propagation of the signal in the tunnel. The angle monitoring unit includes the monitoring of the arrival angle and the departure angle, which is used to locate and track mobile users. The MIMO amplitude matrix monitoring unit is used to optimize signal transmission and reception. The channel matrix singular value monitoring unit can understand the transmission characteristics of the channel, optimize the signal processing algorithm and improve the communication efficiency by analyzing the singular values ​​of the channel matrix. The channel capacity monitoring unit is used to evaluate the maximum data transmission rate of the wireless channel in the tunnel environment, providing a theoretical upper limit reference for system design. Specifically, the environment monitoring module is an important part of the wireless communication system, which mainly includes a path loss monitoring unit, a channel impulse response monitoring unit, a root mean square delay spread monitoring unit, an angle monitoring unit, a MIMO amplitude matrix monitoring unit, a channel matrix singular value monitoring unit and a channel capacity monitoring unit. These monitoring units each have different functions and jointly ensure the stable operation of the wireless communication system. The path loss monitoring unit is mainly responsible for monitoring the energy attenuation of the signal during propagation in the tunnel. In wireless communication, the signal will be attenuated during the propagation process, affecting the communication quality. Through the path loss monitoring unit, the attenuation of the signal can be timely understood, providing a reference for subsequent signal processing and transmission. The channel impulse response monitoring unit can understand the propagation characteristics of the signal in the tunnel environment, including multipath effect and delay spread, by analyzing the impulse response of the channel. The multipath effect will cause the fading of the signal, while the delay spread will increase the transmission delay of the signal. Understanding these characteristics helps to optimize the performance of the wireless communication system. The root mean square delay spread monitoring unit is used to evaluate the degree of delay spread caused by the multipath propagation of the signal in the tunnel. By monitoring the delay spread, we can better understand the propagation status of the signal in the tunnel, thereby providing a more accurate delay estimation for the communication system and improving the communication quality. The angle monitoring unit mainly includes the monitoring of the arrival angle and the departure angle, which is used to locate and track mobile users. In wireless communication systems, the positioning and tracking of mobile users are of great significance to improving communication quality and ensuring network security. The MIMO amplitude matrix monitoring unit is mainly used to optimize signal transmission and reception. In a multi-antenna system, by monitoring the amplitude matrix, the reasonable distribution of multi-antenna signals can be achieved, thereby improving the transmission rate and communication quality of the system. The channel matrix singular value monitoring unit can understand the transmission characteristics of the channel by analyzing the singular values ​​of the channel matrix. This helps to optimize the signal processing algorithm and improve communication efficiency, thereby achieving higher communication quality under limited spectrum resources. The channel capacity monitoring unit evaluates the maximum data transmission rate of the wireless channel in the tunnel environment. Understanding the channel capacity helps to provide a theoretical upper limit reference for system design and ensure that the communication system can achieve a high performance level during actual operation. In short, the various monitoring units in the environmental monitoring module cooperate with each other to jointly ensure the stable operation of the wireless communication system. By monitoring path loss, channel impulse response, delay spread, angle, MIMO amplitude matrix, channel matrix singular values ​​and channel capacity, the communication system can achieve efficient and stable communication under complex environmental conditions.

[0026] The multi-band signal processing system further comprises a bandpass filter group, which is used for selecting different signal frequency bands according to the instruction of the control unit.

[0027] The phased array antenna unit includes a plurality of electronically steerable radiating elements, the phases of which can be independently adjusted to form a directional or omnidirectional beam.

[0028] The control unit includes an adaptive algorithm that predicts future changes in signal propagation conditions based on historical data and real-time monitoring data, and adjusts signal processing parameters and antenna pointing accordingly.

[0029] The adaptive algorithm is one or more of a minimum mean square error algorithm, a recursive least squares algorithm, a Kalman filter, a ray tracing method, an incident and bounce ray method, a machine learning algorithm, deep learning, and a multiple-input multiple-output technology.

[0030] The channel adaptive tracking tunnel antenna also includes a power management module, which optimizes energy consumption according to the working status of the antenna and the output of the environment monitoring module.

[0031] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A channel adaptive tracking tunnel antenna, characterized in that: include: A multi-band signal processing system, wherein the multi-band signal processing system is used to automatically select an optimal signal frequency band according to propagation conditions in the tunnel; A phased array antenna unit, wherein the phased array antenna unit is used to perform beam forming and direction adjustment on a selected frequency band; An environmental monitoring module, which is used to collect environmental information in the tunnel in real time; A control unit, wherein the control unit adjusts the working state of the multi-band signal processing system and the phased array antenna unit according to the data provided by the environment monitoring module to optimize the reception and transmission quality of the signal; The output end of the control unit is electrically connected to the input ends of the multi-band signal processing system, the phased array antenna unit and the environment monitoring module respectively, and the output end of the multi-band signal processing system is electrically connected to the input end of the phased array antenna unit.

2. The channel adaptive tracking tunnel antenna according to claim 1, characterized in that: The multi-band signal processing system includes a broadband, multi-band support module, a reconstruction module, a radio frequency front-end and link module, an intelligent wireless system compatible module and a multi-band collaborative deployment technology module. The broadband, multi-band support module is used to process and transmit high-frequency band and large-band signals. The reconstruction module is used to adjust the signal processing method according to different application requirements. The radio frequency front-end and link module are used for signal reception, amplification, filtering and transmission. The intelligent wireless system compatible module is used for large-bandwidth, multi-band signal processing and transmission. The multi-band collaborative deployment technology module is used for full-scene coverage and coordination of multiple frequency bands.

3. The channel adaptive tracking tunnel antenna according to claim 1, characterized in that: The environment monitoring module includes a path loss monitoring unit, a channel impulse response monitoring unit, a root mean square delay spread monitoring unit, an angle monitoring unit, a MIMO amplitude matrix monitoring unit, a channel matrix singular value monitoring unit and a channel capacity monitoring unit. The path loss monitoring unit is used to monitor the energy attenuation of the signal during tunnel propagation. The channel impulse response monitoring unit is used to understand the propagation characteristics of the signal in the tunnel environment by analyzing the impulse response of the channel. The root mean square delay spread monitoring unit is used to evaluate the delay diffusion degree caused by the multipath propagation of the signal in the tunnel. The angle monitoring unit includes the monitoring of the arrival angle and the departure angle, which is used to locate and track mobile users. The MIMO amplitude matrix monitoring unit is used to optimize signal transmission and reception. The channel matrix singular value monitoring unit is used to understand the transmission characteristics of the channel by analyzing the singular values ​​of the channel matrix, optimize the signal processing algorithm and improve the communication efficiency. The channel capacity monitoring unit is used to evaluate the maximum data transmission rate of the wireless channel in the tunnel environment.

4. The channel adaptive tracking tunnel antenna according to claim 1, characterized in that: The multi-band signal processing system further comprises a bandpass filter group, and the bandpass filter group is used to select different signal frequency bands according to the instruction of the control unit.

5. The channel adaptive tracking tunnel antenna according to claim 1, characterized in that: The phased array antenna unit includes a plurality of electronically controllable radiating elements, and the plurality of electronically controllable radiating elements are used to independently adjust phases to form directional or omnidirectional beams.

6. The channel adaptive tracking tunnel antenna according to claim 1, characterized in that: The control unit includes an adaptive algorithm that predicts future changes in signal propagation conditions based on historical data and real-time monitoring data, and adjusts signal processing parameters and antenna pointing accordingly.

7. The channel adaptive tracking tunnel antenna according to claim 6, characterized in that: The adaptive algorithm is one or more of a minimum mean square error algorithm, a recursive least squares algorithm, a Kalman filter, a ray tracing method, an incident and bounce ray method, a machine learning algorithm, deep learning, and a multiple-input multiple-output technology.

8. The channel adaptive tracking tunnel antenna according to claim 6, characterized in that: The channel adaptive tracking tunnel antenna also includes a power management module, which optimizes energy consumption according to the working state of the antenna and the output of the environment monitoring module.

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