CN117395691B - Vehicle-mounted terminal communication optimization method under weak signal environment - Google Patents

Vehicle-mounted terminal communication optimization method under weak signal environment Download PDF

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CN117395691B
CN117395691B CN202311693174.6A CN202311693174A CN117395691B CN 117395691 B CN117395691 B CN 117395691B CN 202311693174 A CN202311693174 A CN 202311693174A CN 117395691 B CN117395691 B CN 117395691B
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CN117395691A (en
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黄三陆
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Quanzhou Sanchuan Communication Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/40Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • H04W4/48Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for in-vehicle communication
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04TPC
    • H04W52/18TPC being performed according to specific parameters
    • H04W52/24TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
    • H04W52/245TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account received signal strength
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04TPC
    • H04W52/18TPC being performed according to specific parameters
    • H04W52/28TPC being performed according to specific parameters using user profile, e.g. mobile speed, priority or network state, e.g. standby, idle or non transmission
    • H04W52/282TPC being performed according to specific parameters using user profile, e.g. mobile speed, priority or network state, e.g. standby, idle or non transmission taking into account the speed of the mobile
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses a vehicle-mounted terminal communication optimization method under a weak signal environment, which is characterized in that vehicle traveling state information is acquired through corresponding sensors, a traveling state curve of a wireless communication vehicle is realized according to the acquired traveling state information, state difference values under different determination points are acquired through comparison of different state curves, whether signal compensation is needed to be carried out at the current determination point or not is determined according to a preset compensation range, intelligent detection and autonomous compensation of a compensation line are realized, an adaptive signal transmission power adjustment strategy is adopted, the transmission power of wireless communication is automatically adjusted according to the vehicle traveling environment and the signal quality, so that the stability and the reliability of communication are improved, stable communication connection can be maintained, and the problem that communication signal transmission delay between vehicles is caused due to abrupt change of signal speed once the vehicles suddenly accelerate or decelerate when the communication interconnection is realized by the existing vehicle-mounted communication method is solved.

Description

Vehicle-mounted terminal communication optimization method under weak signal environment
Technical Field
The invention relates to the technical field of vehicle-mounted communication optimization, in particular to a vehicle-mounted terminal communication optimization method in a weak signal environment.
Background
The existing vehicle-mounted terminals generally adopt a wireless communication interconnection mode, such as Bluetooth, wi-Fi, mobile network and the like. However, in an actual driving environment, the vehicle may face various interference problems during driving, which results in a serious influence on the communication quality between the vehicle-mounted terminals, and may cause communication jamming and interruption.
In particular, the following are: when a vehicle is in a weak signal environment, and once the vehicle suddenly accelerates or decelerates suddenly in the communication interconnection process, the signal speed suddenly changes due to the sudden change of the motion state of the vehicle, and the signal transmission delay between the vehicle-mounted terminals is caused by the transient change, so that communication is blocked.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description summary and in the title of the application, to avoid obscuring the purpose of this section, the description summary and the title of the invention, which should not be used to limit the scope of the invention.
The present invention has been made in view of the above-described problems with the conventional vehicle-mounted communication method.
Therefore, the technical problems solved by the invention are as follows: when the vehicles are in a weak signal environment and the communication interconnection is realized by using the existing vehicle-mounted communication method, once the vehicles suddenly accelerate or decelerate suddenly, the problem of communication signal transmission delay between the vehicles is caused due to the sudden change of the signal speed.
In order to solve the technical problems, the invention provides the following technical scheme: a vehicle-mounted terminal communication optimization method under weak signal environment is provided, wherein a network signal compensator is embedded in the vehicle-mounted terminal;
the vehicle-mounted terminal communication optimization method specifically comprises the following steps: s1: different vehicle-mounted terminals are connected into the same satellite network to realize interconnection communication, and network signal intensity alpha in the current communication state is obtained in real time through a network signal analyzer configured in the vehicle-mounted terminals; s2: the state sensor is embedded in the vehicle-mounted terminal, and the running state information of the current state of the vehicle is obtained in real time through the corresponding sensor, so that running state curves of different vehicles are generated; s3: the data integrator is embedded in the vehicle-mounted terminal, is in data connection with the state sensor, acquires the running state curves of different vehicles in real time, compares the running state curves, acquires running state difference values at different determined points, and starts the network signal compensator when the running state difference values reach a preset compensation range; s4: the network signal compensator is in data connection with the data integrator, and acquires vehicles and compensation information to be compensated according to the corresponding travel state curves and the acquired travel state difference values; s5: and in the process of vehicle interconnection communication, signal compensation is completed in real time through the embedded network signal compensator according to the compensation information.
As a preferable scheme of the vehicle-mounted terminal communication optimization method under the weak signal environment, the invention comprises the following steps: when the network signal analyzer acquires the network signal strength alpha in the current communication state in real time, carrying out strength description through the equilibrium value of the network signal variation curve in the current state;
namely, the network signal strength alpha is obtained by the following formula:
wherein, alpha is the network signal intensity, t is the statistical analysis time of the network signal analyzer, P is the curve composed of the independent variable network signal intensity of continuous different time periods, and the integral constant is defined as 0.
As a preferable scheme of the vehicle-mounted terminal communication optimization method under the weak signal environment, the invention comprises the following steps: the travel state information acquired in real time is specifically: a speed change value and an acceleration change value.
As a preferable scheme of the vehicle-mounted terminal communication optimization method under the weak signal environment, the invention comprises the following steps: the running state curves of different vehicles are specifically generated by: q1: acquiring a time point when the vehicle acceleration change degree exceeds 5 m/s; q2: acquiring the vehicle speed at each time point; q3: acquiring a change value of the vehicle speed of each time point relative to the front point of the time point; q4: when a plane coordinate system is established to generate the travelling state curve, each time point is taken as an X-axis determination point, and a Y-axis value is acquired through the following formula:
wherein Y is the Y-axis value of the coordinate system, T is the time value of the acquired time point, a is the acceleration change value at the time point, V Difference of difference The integral constant is defined as 0 for the vehicle speed variation value acquired at the time point; q5: and after each determined point is obtained, connecting each point by a smooth curve, and generating the travelling state curve.
As a preferable scheme of the vehicle-mounted terminal communication optimization method under the weak signal environment, the invention comprises the following steps: when the travel state difference value is obtained, corresponding each determination on different travel state curves is usedAnd (3) carrying out fixed-point comparison:wherein Y is Difference of difference For each determined point travel state difference value, Y 1 Y and Y 2 For the Y-axis value at the currently determined point in the different travel state curves.
As a preferable scheme of the vehicle-mounted terminal communication optimization method under the weak signal environment, the invention comprises the following steps: the preset compensation range is defined as any value in (25, 50);
the compensation range is obtained by the following formula:
as a preferable scheme of the vehicle-mounted terminal communication optimization method under the weak signal environment, the invention comprises the following steps: when the network signal compensator acquires the compensation vehicle, when the acceleration at the determined point is positive, signal compensation is carried out on the running state curve vehicle where the current determined point is located, and when the acceleration at the determined point is negative, signal compensation is carried out on another vehicle of the running state curve vehicle where the current determined point is located.
As a preferable scheme of the vehicle-mounted terminal communication optimization method under the weak signal environment, the invention comprises the following steps: when the network signal compensator completes signal compensation, the compensated signal strength is determined by the following formula:
wherein alpha is Tonifying device For the compensated signal strength, a is the acceleration change value at the time point, Y Difference of difference Travel state differences under each determination point.
The invention has the beneficial effects that: the invention provides a vehicle-mounted terminal communication optimization method under a weak signal environment, which is characterized in that vehicle traveling state information is acquired through corresponding sensors, a traveling state curve of a wireless communication vehicle is realized according to the acquired traveling state information, state difference values under different determination points are acquired through comparison of different state curves, whether signal compensation is needed to be carried out at the current determination points or not is determined according to a preset compensation range, intelligent detection and autonomous compensation of a compensation line are realized, an adaptive signal transmission power adjustment strategy is adopted, the transmission power of wireless communication is automatically adjusted according to the vehicle traveling environment and the signal quality, so that the stability and the reliability of communication are improved, stable communication connection can be maintained, and the problem that when the vehicle is in the weak signal environment and the communication interconnection is realized by using the existing vehicle-mounted communication method, the communication signal transmission delay between vehicles is caused due to sudden rapid acceleration or rapid deceleration of the signal speed is solved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
fig. 1 is a flowchart of an overall method of the vehicle-mounted terminal communication method provided by the invention.
Fig. 2 is a flowchart of a method for generating a travel state curve of different vehicles according to the present invention.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
When a vehicle is in a weak signal environment, and once the vehicle suddenly accelerates or decelerates suddenly in the communication interconnection process, the signal speed suddenly changes due to the sudden change of the motion state of the vehicle, and the signal transmission delay between the vehicle-mounted terminals is caused by the transient change, so that communication is blocked.
Therefore, referring to fig. 1, the present invention provides a vehicle-mounted terminal communication optimization method in a weak signal environment, in which a network signal compensator is embedded in a vehicle-mounted terminal;
the vehicle-mounted terminal communication optimization method specifically comprises the following steps:
s1: different vehicle-mounted terminals are connected into the same satellite network to realize interconnection communication, and network signal intensity alpha in the current communication state is obtained in real time through a network signal analyzer configured in the vehicle-mounted terminals;
in the method, the vehicle-mounted terminal communicates with the radio frequency module and other devices through the built-in signal processor. When the vehicle-mounted terminal is started, the signal processor and the radio frequency module are initialized to ensure normal communication functions.
The initialization process generally includes the steps of:
powering up and starting up: the vehicle-mounted terminal completes the power-on and starting operation by switching on a power supply and a starting switch.
Initializing a system: the communication system of the vehicle-mounted terminal is initialized, and the initialization comprises loading of an operating system, communication software and the like. In the process, various self-checking programs are executed, so that the normal operation of the system is ensured.
Loading configuration parameters: the vehicle-mounted terminal loads preset communication parameters such as communication frequency, coding mode, protocol type and the like. These parameters will determine the manner and nature of the communication.
The signal processor initializes: the signal processor is a core component of the vehicle-mounted terminal and is responsible for demodulation, decoding, encoding, modulation and other operations of signals. In the initialization process, the signal processor is calibrated and configured to ensure that the signal processor can work normally.
Initializing a radio frequency module: the radio frequency module is responsible for converting digital signals into radio frequency signals and transmitting and receiving. In the initialization process, the radio frequency module is calibrated and configured, so that the radio frequency module can be ensured to normally communicate with other vehicle-mounted terminals.
And (3) connection establishment: after the initialization of the signal processor and the radio frequency module is completed, the vehicle-mounted terminal tries to establish communication connection with other vehicle-mounted terminals. A stable communication link is established by scanning available communication frequencies, sending connection requests, and the like.
Through the initialization steps, the signal processor and the radio frequency module of the vehicle-mounted terminal can be correctly configured and initialized, so that the vehicle-mounted terminal can work normally, and a reliable basis is provided for communication of the vehicle-mounted terminal.
Further, when the network signal analyzer acquires the network signal strength alpha in the current communication state in real time, the strength description is carried out through the equilibrium value of the network signal variation curve in the current state;
namely, the network signal intensity alpha is obtained through the following formula:
wherein, alpha is the network signal intensity (dBm), t is the statistical analysis time(s) of the network signal analyzer, P is the curve composed of the independent variable network signal intensity of continuous different time periods, and the integral constant is defined as 0.
Considering that the network signal strength α is actually a continuously variable value in the current communication state, when the network state is relatively stable, α is in a constant range, but it is not easy to understand that the α value is a continuously variable value, and considering that the equalization value is actually a good idea if the α is to be obtained by using a relatively accurate expression. Therefore, the method obtains the integral of the curve formed by the intensity alpha in the time (0, t), then obtains the time equilibrium value, and can obtain the relatively accurate intensity value without being easily understood from the definition of the integral science.
S2: the state sensor is embedded in the vehicle-mounted terminal, and the running state information of the current state of the vehicle is obtained in real time through the corresponding sensor, so that running state curves of different vehicles are generated;
specifically, the travel state information acquired in real time is specifically: a speed change value and an acceleration change value.
It is easy to understand that when the vehicle is rapidly accelerated or rapidly decelerated, the visual value reflecting the state change is the speed difference value, the essence reflecting the speed change is the acceleration actually, and the method can accurately reflect the change information of the travelling state by acquiring the parameters of the two.
Further, referring to fig. 2, the generation of the travel state curves of different vehicles is specifically:
q1: acquiring a time point when the vehicle acceleration change degree exceeds 5 m/s;
the method and the device have the advantages that the change degree of the acceleration is set to be 5m/s, and the acceleration is set to be conventional, so that when the change amount of the acceleration exceeds the value, the large speed change can be obviously perceived from simulation model data or directly from actual experience, the network simulation intensity value can be obviously attenuated, and the method and the device are suitable for being defined.
Q2: acquiring the vehicle speed at each time point;
q3: acquiring a change value of the vehicle speed of each time point relative to the front point of the time point;
this step obtains a difference in speed change between the time point and the adjacent normal point.
Q4: when a plane coordinate system is established to generate a travel state curve, each time point is taken as an X-axis determination point, and a Y-axis value is acquired through the following formula:
wherein Y is the Y-axis value of the coordinate system, T is the time value of the acquired time point, a is the acceleration variation value (m/s 2 ),V Difference of difference The integral constant is defined as 0 for the vehicle speed variation value (m/s) acquired at the time point;
it should be emphasized here that the acceleration times the speed reflects the power of the object at a certain moment, and in fact, from an analog value, corresponds to another network intensity change value.
Q5: and after each determined point is obtained, connecting each point by using a smooth curve to generate a traveling state curve.
The travel state curve calculated according to the steps and the model formula is reflected by each point on the travel state curve, namely the change parameter basis of the network signal.
S3: the data integrator is embedded in the vehicle-mounted terminal, is in data connection with the state sensor, acquires the running state curves of different vehicles in real time, compares the running state curves, acquires the running state difference values at different determined points, and starts the network signal compensator when the running state difference values reach a preset compensation range;
further, when the travel state difference value is obtained, comparison is performed according to corresponding determination points on different travel state curves:
wherein Y is Difference of difference For each determined point travel state difference value, Y 1 Y and Y 2 For the Y-axis value at the currently determined point in the different travel state curves.
Specifically, the preset compensation range is defined as any one value of (25, 50);
the compensation range is obtained by the following formula:
it should be noted that, in analogy to the above description, the acceleration 5 and the velocity difference are set to be in accordance with the reality.
S4: the network signal compensator is in data connection with the data integrator, and acquires vehicles and compensation information to be compensated according to the corresponding travel state curves and the acquired travel state difference values;
it should be noted that: when the network signal compensator acquires the compensation vehicle, when the acceleration at the determined point is positive, the signal compensation is carried out on the traveling state curve vehicle at the current determined point, and when the acceleration at the determined point is negative, the signal compensation is carried out on the other vehicle of the traveling state curve vehicle at the current determined point.
Namely: based on the vehicle's status information, the vehicle terminal may select an appropriate signal optimization strategy, including adjustment of transmission power, based on the vehicle speed. The specific strategy is as follows:
signal optimization strategy at higher vehicle speed:
when the vehicle speed is higher, the vehicle-mounted terminal can select to increase the signal transmission power so as to improve the communication distance and stability. In a high-speed driving state, the signal attenuation is faster, and the problems of signal attenuation or signal interference can be faced. By increasing the transmission power, the propagation capability of signals can be enhanced, the communication distance can be enlarged, and a more stable communication connection can be provided.
Signal optimization strategy at low vehicle speed:
when the vehicle speed is low, the vehicle-mounted terminal may choose to reduce the transmission power to save energy. In low speed driving conditions, the signal propagation distance is short and serious signal attenuation or interference problems may not be encountered. By reducing the transmission power, the power consumption and the battery consumption can be reduced, and the service time of the vehicle-mounted terminal can be prolonged.
Specifically, when the network signal compensator completes signal compensation, the compensated signal strength is determined by the following formula:wherein alpha is Tonifying device For the compensated signal strength, a is the acceleration change value at the time point, Y Difference of difference Travel state differences under each determination point.
S5: and in the process of vehicle interconnection communication, signal compensation is completed in real time through an embedded network signal compensator according to compensation information.
In order to verify the technical effect of the present invention, the following partial data are acquired for reference by adopting vehicle driving simulation, please refer to the following table 1 (simulation data table):
table 1:
vehicle state Signal compensation (dB) Transmission power procedure adjustment data (dBm) Communication stuck times
a=5 6.4 33 0
a=-8 9.7 41 0
a=10 14.8 66 0
a=-12 16.1 69 0
When the method is adopted, a user needs to set simulation parameters in advance to perform model simulation, obtain simulation data under the corresponding set simulation parameters, and perform parameter adjustment according to actual conditions and the essence of the invention.
The invention provides a vehicle-mounted terminal communication optimization method under a weak signal environment, which is characterized in that vehicle traveling state information is acquired through corresponding sensors, a traveling state curve of a wireless communication vehicle is realized according to the acquired traveling state information, state difference values under different determination points are acquired through comparison of different state curves, whether signal compensation is needed to be carried out at the current determination points or not is determined according to a preset compensation range, intelligent detection and autonomous compensation of a compensation line are realized, an adaptive signal transmission power adjustment strategy is adopted, the transmission power of wireless communication is automatically adjusted according to the vehicle traveling environment and the signal quality, so that the stability and the reliability of communication are improved, stable communication connection can be maintained, and the problem that when the vehicle is in the weak signal environment and the communication interconnection is realized by using the existing vehicle-mounted communication method, the communication signal transmission delay between vehicles is caused due to sudden rapid acceleration or rapid deceleration of the signal speed is solved.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.

Claims (4)

1. A vehicle-mounted terminal communication optimization method under a weak signal environment is characterized in that: a network signal compensator is embedded in the vehicle-mounted terminal;
the vehicle-mounted terminal communication optimization method specifically comprises the following steps:
s1: different vehicle-mounted terminals are connected into the same satellite network to realize interconnection communication, and network signal intensity alpha in the current communication state is obtained in real time through a network signal analyzer configured in the vehicle-mounted terminals;
s2: the state sensor is embedded in the vehicle-mounted terminal, and the running state information of the current state of the vehicle is obtained in real time through the corresponding sensor, so that running state curves of different vehicles are generated;
s3: the data integrator is embedded in the vehicle-mounted terminal, is in data connection with the state sensor, acquires the running state curves of different vehicles in real time, compares the running state curves, acquires running state difference values at different determined points, and starts the network signal compensator when the running state difference values reach a preset compensation range;
s4: the network signal compensator is in data connection with the data integrator, and acquires vehicles and compensation information to be compensated according to the corresponding travel state curves and the acquired travel state difference values;
s5: in the process of vehicle interconnection communication, signal compensation is completed in real time through the embedded network signal compensator according to the compensation information;
the travel state information acquired in real time is specifically: a speed change value and an acceleration change value;
the running state curves of different vehicles are specifically generated by the following steps:
q1: acquiring a time point when the vehicle acceleration change degree exceeds 5 m/s;
q2: acquiring the vehicle speed at each time point;
q3: acquiring a change value of the vehicle speed of each time point relative to the front point of the time point;
q4: when a plane coordinate system is established to generate the travelling state curve, each time point is taken as an X-axis determination point, and a Y-axis value is acquired through the following formula:
wherein Y is the Y-axis value of the coordinate system, T is the time value of the acquired time point, a is the acceleration change value at the time point, V Difference of difference The integral constant is defined as 0 for the vehicle speed variation value acquired at the time point;
q5: after each determined point is obtained, each point is connected with a smooth curve, and the travelling state curve is generated;
when the travel state difference value is obtained, comparing according to corresponding determination points on different travel state curves:
wherein Y is Difference of difference Down going for each determined pointState of advance difference, Y 1 Y and Y 2 The Y-axis value under the current determined point in the curve of different running states is determined;
wherein the preset compensation range is defined as (25, 50), and the compensation range is obtained by the following formula:
where acceleration is defined as 5 and speed difference is defined as (5, 10).
2. The vehicle-mounted terminal communication optimization method in a weak signal environment according to claim 1, wherein: when the network signal analyzer acquires the network signal strength alpha in the current communication state in real time, carrying out strength description through the equilibrium value of the network signal variation curve in the current state;
namely, the network signal strength alpha is obtained by the following formula:
wherein, alpha is the network signal intensity, t is the statistical analysis time of the network signal analyzer, P is the curve composed of the independent variable network signal intensity of continuous different time periods, and the integral constant is defined as 0.
3. The vehicle-mounted terminal communication optimization method in the weak signal environment according to claim 2, wherein: when the network signal compensator acquires the compensation vehicle, when the acceleration at the determined point is positive, signal compensation is carried out on the running state curve vehicle where the current determined point is located, and when the acceleration at the determined point is negative, signal compensation is carried out on another vehicle of the running state curve vehicle where the current determined point is located.
4. The method for optimizing communication of an on-vehicle terminal in a weak signal environment according to claim 3, wherein when the network signal compensator completes signal compensation, the compensated signal strength is determined by the following formula:
wherein alpha is Tonifying device For the compensated signal strength, a is the acceleration change value at the time point, Y Difference of difference Travel state differences under each determination point.
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