A multi-channel information transmission method and device for vehicle-mounted platforms

Abstract

The present invention discloses a multi-path information transmission method and device for a vehicle-mounted platform. The method is implemented by using a proximity end, a relay end and a command end, and includes: obtaining a transmission task information set; the transmission task information set includes transmission task information; the transmission task information includes information of a target to be detected, priority, service type and bandwidth requirement information; performing comprehensive evaluation processing on the transmission task information set to obtain transmission task sorting information; and according to the transmission task sorting information, using the proximity end, the relay end and the command end to complete the transmission tasks in the transmission task information set.

Description

Technical Field

[0001] The present invention relates to the fields of communication and information security, and in particular to a multi-path information transmission method and device for a vehicle-mounted platform. Background Art

[0002] At present, in the process of information reconnaissance of near-field target networks, the effective return of reconnaissance information is an urgent problem to be solved. Information reconnaissance of near-field target networks is usually achieved through portable proximity devices. After the portable proximity devices obtain the target information, they need to return the information to the control end. Due to the size and power consumption limitations of portable proximity devices, long-distance transmission cannot be achieved. When the power is increased to increase the transmission distance, the safe detection distance of people approaching the target area is limited.

[0003] At the same time, due to the diversity of near-field target network reconnaissance tasks and the variability of feedback channels, the effective feedback of reconnaissance information also poses great challenges.

[0004] How to overcome the constraints of the location distance factors of the near-field target network, while considering the diversity of near-field target network reconnaissance tasks and the variability of the return channel, to achieve effective return of near-field target network reconnaissance information is a problem that needs to be solved urgently. Summary of the invention

[0005] The present invention mainly solves the problem of how to overcome the constraints of the location distance factor of the near-field target network, while considering the diversification of the near-field target network reconnaissance tasks and the variability of the return channel, to achieve the effective return of the near-field target network reconnaissance information.

[0006] In a first aspect of an embodiment of the present invention, a multi-channel information transmission method for a vehicle-mounted platform is disclosed, which is implemented by using a proximity end, a relay end, and a command end, and includes:

[0007] S1, obtaining a transmission task information set; the transmission task information set includes transmission task information; the transmission task information includes information of a target to be detected, priority, service type and bandwidth requirement information;

[0008] S2, performing comprehensive evaluation processing on the transmission task information set to obtain transmission task sorting information;

[0009] S3, according to the transmission task sorting information, using the approaching end, the relay end and the command end to complete the transmission tasks in the transmission task information set.

[0010] The comprehensive evaluation of the transmission task information set to obtain transmission task sorting information includes:

[0011] S201, obtaining priorities, service types and bandwidth requirement information of N transmission tasks from the transmission task information set; the priority of the i-th transmission task is represented by P i , the business type is represented by T i , bandwidth requirement information is represented as B i ; N is the number of transmission task information included in the transmission task information set;

[0012] S202, normalize the priority value of each transmission task. i , and its normalized priority is denoted as ρ i =P i / (P max -P min ), where P max and P min Respectively represent the upper limit and lower limit of the preset priority value range;

[0013] S203, classify all the business types of the transmission tasks into N t Each business type has a corresponding business type coefficient. t The business type coefficient of each business type is recorded as Among them, n t =1,2,…,N t , According to the service type T of the i-th transmission task i , from N t Select the matching business type coefficient from the business types, denoted as τ i ;

[0014] S204, dividing the bandwidth requirements of the transmission task into N b Each level has a corresponding bandwidth requirement coefficient. b The bandwidth requirement coefficient of each level is recorded as Where n b =1,2,…,N b , According to the bandwidth requirement B of the i-th transmission task i , determine the grade corresponding to the bandwidth demand, and obtain the bandwidth demand coefficient ω corresponding to the grade according to the grade i ;

[0015] S205, calculating the importance factor η of the i-th transmission task i , the calculation expression of the importance factor is:

[0016] η i =w 1 ρ i +w2 τ i +w 3 ω i ,

[0017] Among them, w 1 、w 2 、w 3 They are respectively the weight factors of the preset priority, service type and bandwidth requirement.

[0018] S206, sorting all transmission tasks according to the values ​​of the importance factors of all transmission tasks from high to low, and obtaining transmission task sorting information.

[0019] The method of completing all transmission tasks in the transmission task information set by using the approaching end, the relay end and the command end according to the transmission task sorting information includes:

[0020] S31, according to the transmission task sorting information, the near end sequentially obtains the corresponding transmission task information in the transmission task information set;

[0021] S32, based on the transmission task information, the near end completes the information collection of the target to be detected in the transmission task information to obtain the information to be transmitted;

[0022] S33, using the relay end and the near end to perform pre-transmission processing on the information to be transmitted to obtain interconnection mode information and distortion correction information; the relay end and the near end store an estimated sequence;

[0023] S34, based on the interconnection mode information and the distortion correction information, the near end sends the information to be transmitted to the relay end and the accusation end;

[0024] S35, based on the transmission task sorting information, execute S32 to S34 for each transmission task information in the transmission task information set to complete all transmission tasks in the transmission task information set.

[0025] The using the relay end and the near end to perform pre-transmission processing on the information to be transmitted to obtain interconnection mode information and distortion correction information includes:

[0026] Extracting a preset proportion of information from the information to be transmitted as a detection sequence by using the approaching end;

[0027] Using the approaching end, the detection sequence and the estimation training are sent to the relay end respectively;

[0028] Using the relay end, performing signal-to-noise ratio discrimination processing on the received detection sequence to obtain interconnection mode information;

[0029] Using the relay end, performing dimension estimation processing on the received estimation sequence to obtain dimension information of the distortion correction matrix;

[0030] Using the relay end, performing correction calculation processing on the received estimated sequence to obtain a distortion correction matrix;

[0031] The distortion correction information is constructed using the distortion correction matrix dimension information and the distortion correction matrix.

[0032] The method of using the relay end to perform signal-to-noise ratio determination processing on the received detection sequence to obtain interconnection mode information includes:

[0033] Utilizing the relay end, calculating the signal power and noise power of the received detection sequence;

[0034] Calculating the ratio of the signal power to the noise power, and determining the ratio as a signal-to-noise ratio;

[0035] Determine whether the signal-to-noise ratio is greater than a preset first threshold, and obtain a first determination result;

[0036] If the first judgment result is greater than, confirming that the interconnection mode information is a direct interconnection mode; the direct interconnection mode means that the near end directly sends the information to be transmitted to the accusation end;

[0037] If the first judgment result is not greater than, confirm that the interconnection mode information is a relay interconnection mode; the relay interconnection mode means that the approaching end sends the information to be transmitted to the relay end, and the relay end sends the received information to be transmitted to the accusation end.

[0038] The using the relay end to perform dimension estimation processing on the received estimation sequence to obtain the dimension information of the distortion correction matrix includes:

[0039] The estimated sequence is represented as s, s = [s(1), s(2), ..., s(I)], s(i) represents the i-th element in the sequence s, i = 1, 2, ..., I; the estimated sequence received by the relay end after channel transmission is represented as r, r = [r(1), r(2), ..., r(I)], r(i) represents the i-th element in the sequence r, i = 1, 2, ..., I;

[0040] Determine the range of the number of segments of the sequence to be [2, I / 2];

[0041] The segmented variance difference values ​​of the sequence s and the sequence r are calculated to obtain the segmented variance difference values ​​under all segment numbers; the calculation expression of the segmented variance difference value is:

[0042]

[0043] Where D(Nf) represents the difference in variance of the segment under the segment number Nf, σr i is the variance value of the ith segmented subsequence of sequence r, and the ith segmented subsequence of sequence r is expressed as Nf is the number of segments, and the value of Nf should satisfy I / Nf is an integer, 2≤Nf≤I / 2; σs i is the variance value of the ith segmented subsequence of sequence s, and the ith segmented subsequence of sequence s is expressed as

[0044] Determine the number of segments Ns when the segment variance difference value is the smallest, which is the row dimension value of the distortion correction matrix; determine I / Ns, which is the column dimension value of the distortion correction matrix;

[0045] The distortion correction matrix dimension information is constructed by using the distortion correction matrix row dimension value and the distortion correction matrix column dimension value.

[0046] The method of using the relay end to perform correction calculation processing on the received estimated sequence to obtain a distortion correction matrix includes:

[0047] Using the distortion correction matrix dimension information, the sequence s and sequence r are matrixed to obtain the transmission matrix S 0 and the receiving matrix R 0 ;

[0048] Initialize the encoding matrix A 0 ; The encoding matrix A 0 The number of rows is the column dimension value of the distortion correction matrix; the encoding matrix A 0 The number of columns is the row dimension value of the distortion correction matrix;

[0049] Using the sending matrix S 0 and the receiving matrix R 0 , construct the coding matrix optimization model;

[0050] Solving the coding matrix optimization model to obtain a calculation result A of the coding matrix;

[0051] The calculation result A of the encoding matrix is ​​determined to be a distortion correction matrix.

[0052] The encoding matrix optimization model is expressed as follows:

[0053]

[0054] subject to AA T =I A ,

[0055] Among them, IA represents the identity matrix with the row dimension of matrix A as the dimension, P is the encoding difference matrix, P ij represents the element of the i-th row and j-th column of the encoding difference matrix, and its expression is:

[0056] P=W(S 0 AR 0 ),

[0057] Where W is the weighted transformation matrix, which is in the form of a two-dimensional angle discrete matrix with a dimension of Nr×Ns. The element in the i-th row and j-th column is represented by W ij =cos(2πi / Nr+θ 1 )sin(2πj / Ns+θ 2 ), where θ 1 and θ 2 is the starting angle of the preset weighted transformation matrix;

[0058] In a second aspect of the embodiment of the present application, a multi-channel information transmission device for a vehicle-mounted platform is disclosed, the device comprising:

[0059] A memory storing executable program code;

[0060] a processor coupled to the memory;

[0061] The processor calls the executable program code stored in the memory to execute the multi-channel information transmission method for the vehicle-mounted platform.

[0062] In a third aspect of an embodiment of the present application, a computer storable medium is disclosed, wherein the computer storable medium stores computer instructions, and when the computer instructions are called, they are used to execute the multi-channel information transmission method for the vehicle-mounted platform.

[0063] The beneficial effects of the present invention are:

[0064] Taking into account the time-varying nature of the channel during different transmission tasks, the present invention performs distortion correction on the transmission channel before sending each transmission task, thereby ensuring the accuracy of information transmission.

[0065] The present invention realizes effective transmission of various transmission tasks by evaluating and processing transmission tasks, achieves optimal matching with channel transmission bandwidth, and improves transmission efficiency.

[0066] The present invention utilizes the interconnection mode information and the distortion correction information to send the information to be transmitted to the relay end and the command end at the near end, thereby overcoming the location distance factor restriction of the near-field target network. Meanwhile, the diversification of the near-field target network reconnaissance tasks and the variability of the return channel are taken into consideration, thereby realizing the effective return of the near-field target network reconnaissance information. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 1 is a flow chart for implementing the method of the present invention;

[0068] Figure 2 It is the information transmission flow chart of the present invention. DETAILED DESCRIPTION

[0069] In order to better understand the content of the present invention, an embodiment is given here.

[0070] Figure 1 1 is a flow chart for implementing the method of the present invention; Figure 2 It is the information transmission flow chart of the present invention.

[0071] In a first aspect of the embodiment of the present application, a multi-channel information transmission method for a vehicle-mounted platform is disclosed, which is implemented by using a proximity end, a relay end, and a command end, including:

[0072] S1, obtaining a transmission task information set; the transmission task information set includes transmission task information; the transmission task information includes information of a target to be detected, priority, service type and bandwidth requirement information;

[0073] The target information to be detected includes the target IP, file type and content information, etc.

[0074] S2, performing comprehensive evaluation processing on the transmission task information set to obtain transmission task sorting information;

[0075] S3, according to the transmission task sorting information, using the approaching end, the relay end and the command end to complete the transmission tasks in the transmission task information set.

[0076] The method of completing all transmission tasks in the transmission task information set by using the approaching end, the relay end and the command end according to the transmission task sorting information includes:

[0077] S31, according to the transmission task sorting information, the near end sequentially obtains the corresponding transmission task information in the transmission task information set;

[0078] S32, based on the transmission task information, the near end completes the information collection of the target to be detected in the transmission task information to obtain information to be transmitted; the information to be transmitted is a data sequence;

[0079] S34, using the relay end and the near end to perform pre-transmission processing on the information to be transmitted to obtain interconnection mode information and distortion correction information; the relay end and the near end store an estimated sequence;

[0080] S34, based on the interconnection mode information and the distortion correction information, the near end sends the information to be transmitted to the relay end and the accusation end;

[0081] S35, based on the transmission task sorting information, execute S32 to S34 for each transmission task information in the transmission task information set to complete all transmission tasks in the transmission task information set.

[0082] The method of using the near end to complete the information collection of the target to be detected and obtain the information to be transmitted is to obtain the corresponding file type and content information on the computer corresponding to the target IP to be detected according to the target IP and the file type and content information.

[0083] The comprehensive evaluation of the transmission task information set to obtain transmission task sorting information includes:

[0084] S201, obtaining priorities, service types and bandwidth requirement information of N transmission tasks from the transmission task information set; the priority of the i-th transmission task is represented by P i , the business type is represented by T i , bandwidth requirement information is represented as B i ; N is the number of transmission task information included in the transmission task information set;

[0085] S202, normalize the priority value of each transmission task. i , and its normalized priority is denoted as ρ i =P i / (P max -P min ), where P max and P min Respectively represent the upper and lower limits of the preset priority value range;

[0086] S203, classify all the business types of the transmission tasks into N t Each business type has a corresponding business type coefficient. t The business type coefficient of each business type is recorded as Among them, n t =1,2,…,N t , According to the service type T of the i-th transmission task i , from N t Select the matching business type coefficient from the business types, denoted as τ i ;Business types include text, video, audio, etc.;

[0087] S204, dividing the bandwidth requirements of the transmission task into N bEach level has a corresponding bandwidth requirement coefficient. b The bandwidth requirement coefficient of each level is recorded as Where n b =1,2,…,N b , According to the bandwidth requirement B of the i-th transmission task i , determine the grade corresponding to the bandwidth demand, and obtain the bandwidth demand coefficient ω corresponding to the grade according to the grade i ;

[0088] S205, calculating the importance factor η of the i-th transmission task i , the calculation expression of the importance factor is:

[0089] η i =w 1 ρ i +w 2 τ i +w 3 ω i ,

[0090] Among them, w 1 、w 2 、w 3 They are respectively the weight factors of the preset priority, service type and bandwidth requirement.

[0091] S206, sorting all transmission tasks according to the values ​​of the importance factors of all transmission tasks from high to low, and obtaining transmission task sorting information.

[0092] The using the relay end and the near end to perform pre-transmission processing on the information to be transmitted to obtain interconnection mode information and distortion correction information includes:

[0093] Extracting a preset proportion of information from the information to be transmitted as a detection sequence by using the approaching end;

[0094] Using the approaching end, the detection sequence and the estimation training are sent to the relay end respectively;

[0095] Using the relay end, performing signal-to-noise ratio discrimination processing on the received detection sequence to obtain interconnection mode information;

[0096] Extracting a preset proportion of information from the information to be transmitted may be extracting the first 10% of information from the information to be transmitted as a detection sequence;

[0097] Using the relay end, performing dimension estimation processing on the received estimation sequence to obtain dimension information of the distortion correction matrix;

[0098] Using the relay end, performing correction calculation processing on the received estimated sequence to obtain a distortion correction matrix;

[0099] The distortion correction information is constructed using the distortion correction matrix dimension information and the distortion correction matrix.

[0100] The method of using the relay end to perform signal-to-noise ratio determination processing on the received detection sequence to obtain interconnection mode information includes:

[0101] Utilizing the relay end, calculating the signal power and noise power of the received detection sequence;

[0102] Calculating the ratio of the signal power to the noise power, and determining the ratio as a signal-to-noise ratio;

[0103] Determine whether the signal-to-noise ratio is greater than a preset first threshold, and obtain a first determination result;

[0104] If the first judgment result is greater than, confirming that the interconnection mode information is a direct interconnection mode; the direct interconnection mode means that the near end directly sends the information to be transmitted to the accusation end;

[0105] If the first judgment result is not greater than, confirm that the interconnection mode information is a relay interconnection mode; the relay interconnection mode means that the approaching end sends the information to be transmitted to the relay end, and the relay end sends the received information to be transmitted to the accusation end.

[0106] The received detection sequence includes a signal segment and a non-signal segment; the power of the signal segment is the signal power; the power of the non-signal segment is the noise power.

[0107] The using the relay end to perform dimension estimation processing on the received estimation sequence to obtain the dimension information of the distortion correction matrix includes:

[0108] The estimated sequence is represented as s, s = [s(1), s(2), ..., s(I)], s(i) represents the i-th element in the sequence s, i = 1, 2, ..., I; the estimated sequence received by the relay end after channel transmission is represented as r, r = [r(1), r(2), ..., r(I)], r(i) represents the i-th element in the sequence r, i = 1, 2, ..., I;

[0109] Determine the range of the number of segments of the sequence to be [2, I / 2];

[0110] The segmented variance difference values ​​of the sequence s and the sequence r are calculated to obtain the segmented variance difference values ​​under all segment numbers; the calculation expression of the segmented variance difference value is:

[0111]

[0112] Where D(Nf) represents the difference in variance of the segment under the segment number Nf, σr i is the variance value of the ith segmented subsequence of sequence r, and the ith segmented subsequence of sequence r is expressed as Nf is the number of segments, and the value of Nf should satisfy I / Nf is an integer, 2≤Nf≤I / 2; σs i is the variance value of the ith segmented subsequence of sequence s, and the ith segmented subsequence of sequence s is expressed as

[0113] Determine the number of segments Ns when the segment variance difference value is the smallest, which is the row dimension value of the distortion correction matrix; determine I / Ns, which is the column dimension value of the distortion correction matrix;

[0114] The distortion correction matrix dimension information is constructed by using the distortion correction matrix row dimension value and the distortion correction matrix column dimension value.

[0115] The method of using the relay end to perform correction calculation processing on the received estimated sequence to obtain a distortion correction matrix includes:

[0116] Using the distortion correction matrix dimension information, the sequence s and sequence r are matrixed to obtain the transmission matrix S 0 and the receiving matrix R 0 ;

[0117] Initialize the encoding matrix A 0 ; The encoding matrix A 0 The number of rows is the column dimension value of the distortion correction matrix; the encoding matrix A 0 The number of columns is the row dimension value of the distortion correction matrix;

[0118] Using the sending matrix S 0 and the receiving matrix R 0 , construct the coding matrix optimization model;

[0119] Solving the coding matrix optimization model to obtain a calculation result A of the coding matrix;

[0120] Determine a calculation result A of the encoding matrix as a distortion correction matrix;

[0121] The encoding matrix optimization model is expressed as follows:

[0122]

[0123] subject to AA T =I A ,

[0124] Among them, IA represents the identity matrix with the row dimension of matrix A as the dimension, P is the encoding difference matrix, P ij represents the element of the i-th row and j-th column of the encoding difference matrix, and its expression is:

[0125] P=W(S 0 AR 0 ),

[0126] Where W is the weighted transformation matrix. Considering that each item in the transmitted sequence needs to be supplemented, W can be in the form of a two-dimensional angle discrete matrix with a dimension of Nr×Ns. The element in the i-th row and j-th column is represented by W ij =cos(2πi / Nr+θ 1 )sin(2πj / Ns+θ 2 ), where θ 1 and θ 2 is the starting angle of the preset weighted transformation matrix;

[0127] The encoding matrix optimization model can also be expressed as:

[0128] min|S 0 AR 0 |,

[0129] subject to AA T =I A ,

[0130] Among them, I A represents the identity matrix with the row dimension of matrix A as its dimension;

[0131] The calculation expression of the solution process is:

[0132]

[0133] Among them, S 0 The singular value decomposition expression of U s ,Δ,V s Respectively represent S 0 The left matrix, middle matrix and right matrix of the singular value decomposition of ;

[0134] The coding matrix optimization model is solved to obtain a calculation result A of the coding matrix, including:

[0135] S101, using the initialization encoding matrix A 0 As the initial solution, determine the increment matrix ΔA;

[0136] S102, the objective function It is represented as a function f(A) of the matrix A;

[0137] S103, taking the elements of matrix A as independent variables, find the effect of f(A) on the independent variables at the value A. 0 The first-order partial derivative matrix at

[0138] S104, constructing an iterative increase matrix ΔA 0 First solve the equation:

[0139]

[0140] S105, solving the first solution equation to obtain an iterative increment matrix ΔA 0 Value; judgment |ΔA 0 | Is it less than the set discrimination threshold? If so, determine A 0 +ΔA 0 is the calculation result of the encoding matrix A; otherwise, A 0 +ΔA 0 A 0 Perform replacement and execute S103;

[0141] The method of sending the information to be transmitted by the near end to the relay end and the command end based on the interconnection mode information and the distortion correction information includes:

[0142] Using the proximity end, the relay end and the command end, the corresponding information transmission link is determined according to the interconnection mode information;

[0143] The near end evenly divides the information to be transmitted into a plurality of subsequences of length ab according to the row dimension value a of the distortion correction matrix and the column dimension value b of the distortion correction matrix;

[0144] Using each subsequence, a data matrix of dimension a×b is constructed. The first row of the matrix is ​​the 1st to bth elements of the subsequence, and so on. The ath row is the ab-b+1th to abth elements of the subsequence.

[0145] The data matrix is ​​multiplied by the distortion correction matrix to obtain the data matrix to be sent;

[0146] All row vectors of the data matrix to be sent are concatenated to obtain a sequence to be sent corresponding to the subsequence;

[0147] The sequences to be sent corresponding to all subsequences are concatenated to obtain the total sequence to be sent;

[0148] The approaching end sends the total sequence to be sent to the relay end or the accusation end based on the corresponding information transmission link determined by the interconnection mode information;

[0149] After receiving the total sequence to be sent, the relay end sends it to the accusation end.

[0150] The relay end and the control end provide three communication modes: WiFi, mobile communication (3G, 4G), and shortwave communication; the proximity end provides two communication modes: WiFi and mobile communication (3G, 4G).

[0151] Figure 2 The information transmission flow chart of the present invention is given, and the data return end in the figure is the approach end. In the present invention, firstly, by selecting two-to-two interconnection (portable approach device, relay vehicle and data receiving vehicle) or three-in-one connection according to the target network status, task requirements, deployment mode, etc., select the communication mode of connection (WiFi, mobile communication, shortwave communication mode), establish a communication channel, arrive at the target area, and check the communication effect, and then send the command data according to the task requirements, and return the execution results.

[0152] The two-end interconnection mode refers to selecting appropriate equipment to achieve two-to-two interconnection between portable proximity equipment, relay vehicles and command vehicles based on requirements such as communication distance and communication rate. The vehicle-mounted command terminal and data return terminal of one of the communication modes, such as WiFi, mobile communication (3G, 4G), and shortwave communication, can be used to achieve data interconnection.

[0153] The three-terminal series mode refers to selecting appropriate equipment to achieve the series connection of the portable proximity device, relay vehicle and data receiving vehicle according to the requirements of communication distance, communication rate, etc., and the vehicle-mounted command terminal, vehicle-mounted relay terminal and data return terminal in one of the WiFi and shortwave communication modes can be selected to achieve data interconnection.

[0154] In a second aspect of the embodiment of the present application, a multi-channel information transmission device for a vehicle-mounted platform is disclosed, the device comprising:

[0155] A memory storing executable program code;

[0156] a processor coupled to the memory;

[0157] The processor calls the executable program code stored in the memory to execute the multi-channel information transmission method for the vehicle-mounted platform.

[0158] In a third aspect of an embodiment of the present application, a computer storable medium is disclosed, wherein the computer storable medium stores computer instructions, and when the computer instructions are called, they are used to execute the multi-channel information transmission method for the vehicle-mounted platform.

[0159] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A multi-channel information transmission method for a vehicle-mounted platform, characterized in that: It is realized by using the proximity terminal, relay terminal and control terminal, including: S1, obtaining a transmission task information set; the transmission task information set includes transmission task information; the transmission task information includes information of a target to be detected, priority, service type and bandwidth requirement information; S2, performing comprehensive evaluation processing on the transmission task information set to obtain transmission task sorting information; S3, according to the transmission task sorting information, using the approaching end, the relay end and the command end to complete the transmission tasks in the transmission task information set; The method of completing all transmission tasks in the transmission task information set by using the approaching end, the relay end and the command end according to the transmission task sorting information includes: S31, according to the transmission task sorting information, the near end sequentially obtains the corresponding transmission task information in the transmission task information set; S32, based on the transmission task information, the near end completes the information collection of the target to be detected in the transmission task information to obtain the information to be transmitted; S33, using the relay end and the near end to perform pre-transmission processing on the information to be transmitted to obtain interconnection mode information and distortion correction information; the relay end and the near end store an estimated sequence; S34, based on the interconnection mode information and the distortion correction information, the near end sends the information to be transmitted to the relay end and the accusation end; S35, based on the transmission task sorting information, executing S32 to S34 for each transmission task information in the transmission task information set, to complete all transmission tasks in the transmission task information set; The using the relay end and the near end to perform pre-transmission processing on the information to be transmitted to obtain interconnection mode information and distortion correction information includes: Extracting a preset proportion of information from the information to be transmitted as a detection sequence by using the approaching end; Using the approaching end, the detection sequence and the estimation training are sent to the relay end respectively; Using the relay end, performing signal-to-noise ratio discrimination processing on the received detection sequence to obtain interconnection mode information; Using the relay end, performing dimension estimation processing on the received estimation sequence to obtain dimension information of the distortion correction matrix; Using the relay end, performing correction calculation processing on the received estimated sequence to obtain a distortion correction matrix; The distortion correction information is constructed using the distortion correction matrix dimension information and the distortion correction matrix.

2. The multi-channel information transmission method for the vehicle-mounted platform as claimed in claim 1, characterized in that: The comprehensive evaluation of the transmission task information set to obtain transmission task sorting information includes: S201, obtaining priorities, service types and bandwidth requirement information of N transmission tasks from the transmission task information set; the priority of the i-th transmission task is represented by P i , the business type is represented by T i , bandwidth requirement information is represented as B i ; N is the number of transmission task information included in the transmission task information set; S202, normalize the priority value of each transmission task. i , and its normalized priority is denoted as ρ i =P i / (P max -P min ), where P max and P min Respectively represent the upper limit and lower limit of the preset priority value range; S203, classify all the business types of the transmission tasks into N t Each business type has a corresponding business type coefficient. t The business type coefficient of each business type is recorded as Among them, n t =1,2,...,N t , According to the service type T of the i-th transmission task i , from N t Select the matching business type coefficient from the business types, denoted as τ i ; S204, dividing the bandwidth requirements of the transmission task into N b Each level has a corresponding bandwidth requirement coefficient. b The bandwidth requirement coefficient of each level is recorded as Where n b =1,2,...,N b , According to the bandwidth requirement B of the i-th transmission task i , determine the grade corresponding to the bandwidth demand, and obtain the bandwidth demand coefficient ω corresponding to the grade according to the grade i ; S205, calculating the importance factor η of the i-th transmission task i , the calculation expression of the importance factor is: or i =w1ρ i +w2τ i +w3ω i , Among them, w1, w2, and w3 are the weight factors of the preset priority, service type, and bandwidth requirement respectively; S206, sorting all transmission tasks according to the values ​​of the importance factors of all transmission tasks from high to low, and obtaining transmission task sorting information.

3. The multi-channel information transmission method for the vehicle-mounted platform as claimed in claim 1, characterized in that: The method of using the relay end to perform signal-to-noise ratio determination processing on the received detection sequence to obtain interconnection mode information includes: Utilizing the relay end, calculating the signal power and noise power of the received detection sequence; Calculating the ratio of the signal power to the noise power, and determining the ratio as a signal-to-noise ratio; Determine whether the signal-to-noise ratio is greater than a preset first threshold, and obtain a first determination result; If the first judgment result is greater than, confirming that the interconnection mode information is a direct interconnection mode; the direct interconnection mode means that the near end directly sends the information to be transmitted to the accusation end; If the first judgment result is not greater than, confirm that the interconnection mode information is a relay interconnection mode; the relay interconnection mode means that the approaching end sends the information to be transmitted to the relay end, and the relay end sends the received information to be transmitted to the accusation end.

4. The multi-channel information transmission method for the vehicle-mounted platform as claimed in claim 1, characterized in that: The step of using the relay end to perform dimension estimation processing on the received estimation sequence to obtain dimension information of the distortion correction matrix includes: The estimated sequence is represented as s, s = [s(1), s(2), ..., s(I)], s(i) represents the i-th element in the sequence s, i = 1, 2, ..., I; the estimated sequence received by the relay end after channel transmission is represented as r, r = [r(1), r(2), ..., r(I)], r(i) represents the i-th element in the sequence r, i = 1, 2, ..., I; Determine the range of the number of segments of the sequence to be [2, I / 2]; The segmented variance difference values ​​of the sequence s and the sequence r are calculated to obtain the segmented variance difference values ​​under all segment numbers; the calculation expression of the segmented variance difference value is: Where D(Nf) represents the difference in variance of the segment under the segment number Nf, σr i is the variance value of the ith segmented subsequence of sequence r, and the ith segmented subsequence of sequence r is expressed as Nf is the number of segments, and the value of Nf should satisfy I / Nf is an integer, 2≤Nf≤I / 2; σs i is the variance value of the ith segmented subsequence of sequence s, and the ith segmented subsequence of sequence s is expressed as Determine the number of segments Ns when the segment variance difference value is the smallest, which is the row dimension value of the distortion correction matrix; determine I / Ns, which is the column dimension value of the distortion correction matrix; The distortion correction matrix dimension information is constructed by using the distortion correction matrix row dimension value and the distortion correction matrix column dimension value.

5. The multi-channel information transmission method for the vehicle-mounted platform as claimed in claim 1, characterized in that: The method of using the relay end to perform correction calculation processing on the received estimated sequence to obtain a distortion correction matrix includes: Using the dimension information of the distortion correction matrix, the sequence s and sequence r are matrixed to obtain the sending matrix S0 and the receiving matrix R0; Initialize the encoding matrix A0; the number of rows of the encoding matrix A0 is the column dimension value of the distortion correction matrix; the number of columns of the encoding matrix A0 is the row dimension value of the distortion correction matrix; Using the sending matrix S0 and the receiving matrix R0, a coding matrix optimization model is constructed; Solving the coding matrix optimization model to obtain a calculation result A of the coding matrix; A calculation result A of the encoding matrix is ​​determined to be a distortion correction matrix.

6. The multi-channel information transmission method for the vehicle-mounted platform as claimed in claim 5, characterized in that: The encoding matrix optimization model is expressed as follows: subject to AA T =I A , Among them, I A represents the identity matrix with the row dimension of matrix A as the dimension, P is the encoding difference matrix, P ij represents the element of the i-th row and j-th column of the encoding difference matrix, and its expression is: P=W(S0A-R0), Where W is the weighted transformation matrix, which is in the form of a two-dimensional angle discrete matrix with a dimension of Nr×Ns. The element in the i-th row and j-th column is represented by W ij =cos(2πi / Nr+θ1)sin(2πj / Ns+θ2), where θ1 and θ2 are the starting angles of the preset weighted transformation matrix.

7. A multi-channel information transmission device for a vehicle-mounted platform, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the multi-channel information transmission method for the vehicle-mounted platform as described in any one of claims 1 to 6.

8. A computer storable medium, characterized in that: The computer storable medium stores computer instructions, and when the computer instructions are called, they are used to execute the multi-channel information transmission method for the vehicle-mounted platform as described in any one of claims 1 to 6.

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