Anti-attack interleaving method and device for communication information

Abstract

The invention discloses an anti-attack interleaving method and device for communication information. The method comprises the following steps: acquiring an information sequence to be transmitted; performing statistical analysis processing on the to-be-transmitted information sequence to obtain a statistical information set; carrying out detection modeling processing on the communication channel of the information sequence to be transmitted to obtain channel dimension information; and performing interleaving parameter calculation processing on the statistical information set and the channel dimension information to obtain an interleaving parameter information set. According to the invention, the problems of anti-interference effect and influence on the security of the communication system caused by fixed parameters of the interleaving method in the current communication system are solved.

Description

Technical Field

[0001] The present invention relates to the fields of communications and artificial intelligence, and particularly to an anti-attack interleaving method and apparatus for communication information. Background Art

[0002] Currently, wireless communication systems are widely deployed to provide various types of communication services such as telephony, video, data, messaging, and broadcasting. To achieve multi-user transmission, various multiple access technologies have also been developed, including Code Division Multiple Access (CDMA) systems, Time Division Multiple Access (TDMA) systems, Frequency Division Multiple Access (FDMA) systems, Orthogonal Frequency Division Multiple Access (OFDMA) systems, Single Carrier Frequency Division Multiple Access (SC-FDMA) systems, and Time Division Synchronous Code Division Multiple Access (TD-SCDMA) systems. With the diversity of service types and multiple access methods, the channel environment has become diverse.

[0003] To suppress the influence of multipath effects in the channel environment, time interleaving technology has been introduced. Time interleaving technology can disperse the errors that occur suddenly and are relatively concentrated during the channel transmission process to the greatest extent in time, effectively increasing the length of the Forward Error Correction (FEC) against consecutive errors, and further improving the performance of the communication system.

[0004] The general interleaving methods in digital communication are block interleaving and convolutional interleaving. Block interleaving is also called the matrix row-column transposition method, which is implemented using a two-dimensional memory array. During block interleaving, data is written column by column and read row by row; during deinterleaving, data is written row by row and read column by column. The number of shift register groups used in convolutional interleaving is the number of channels of the convolutional interleaver, and the delays on each channel are usually data periods that are not the same. The output end of the interleaver synchronously outputs the data delayed on each delay channel in turn according to the working rhythm of the input end. The deinterleaver has the same number of channels as the interleaver, and the delay periods on each channel are opposite to those of the interleaver, so as to ensure a fixed end-to-end delay.

[0005] In the current interleaving methods in communication systems, whether it is block interleaving or convolutional interleaving, the interleaving parameters used are fixed, without considering the statistical characteristics of the information source and the influence of channel time-varying characteristics, which affects the anti-interference effect of interleaving; at the same time, the interleaving method with fixed parameters causes the transmitted signal of the communication system to exhibit fixed statistical characteristics, resulting in the communication signal being easily intercepted, and also affecting the security of the communication system. Summary of the Invention

[0006] The present invention mainly solves the problems of the anti-interference effect and the security of the communication system caused by the fixed parameters of the interleaving method in the current communication system, and discloses an anti-attack interleaving method and apparatus for communication information.

[0007] In the first aspect of the embodiments of the present application, an anti-attack interleaving method for communication information is disclosed, including: S1, obtaining an information sequence to be transmitted; S2, performing statistical analysis processing on the information sequence to be transmitted to obtain a statistical information set; S3, performing detection and modeling processing on the communication channel of the information sequence to be transmitted to obtain channel dimension information; S4, performing interleaving parameter calculation processing on the statistical information set and the channel dimension information to obtain an interleaving parameter information set; S5, using the interleaving parameter information set to perform interleaving encoding processing on the information sequence to be transmitted to obtain an information sequence to be sent.

[0008] The performing statistical analysis processing on the information sequence to be transmitted to obtain a statistical information set includes: Performing statistical value calculation processing on the information sequence to be transmitted to obtain a time-domain statistical information subset; the time-domain statistical information subset includes the mean value, median value, mode value, range value, and variance value of the information sequence to be transmitted; Performing frequency-domain transformation on the information sequence to be transmitted to obtain a frequency-domain sequence; Performing statistical processing on the frequency-domain sequence to obtain a frequency-domain statistical information subset; the frequency-domain statistical information subset includes frequency-domain mean, frequency-domain variance, average rise time, harmonic mean, liquidity value, average derivative; Combining the time-domain statistical information subset and the frequency-domain statistical information subset to obtain a statistical information set.

[0009] The performing detection and modeling processing on the communication channel of the information sequence to be transmitted to obtain channel dimension information includes: S31, using a transmitting end to generate a channel detection sequence and sending the channel detection sequence to a receiving end via a communication channel; S32, using the receiving end to receive a received sequence corresponding to the channel detection sequence; S33, performing calculation processing on the received sequence and the channel detection sequence to obtain channel dimension information.

[0010] The performing calculation processing on the received sequence and the channel detection sequence to obtain channel dimension information includes: S331, equally dividing both the channel detection sequence and the received sequence into N segments to respectively obtain corresponding N sub-sequences; S332, using all sub-sequences of the channel detection sequence to construct a detection matrix; using all sub-sequences of the received sequence to construct a received matrix; S333. Construct a channel estimation model by using the detection matrix and the reception matrix; S334. Solve the channel estimation model to obtain a channel feature matrix; S335. Determine the rank of the channel feature matrix as the channel dimension information.

[0011] The expression of the channel estimation model is: where represents an identity matrix with the row dimension of the channel feature matrix as the dimension, is a singular representation matrix, represents the element in the i-th row and j-th column of the singular representation matrix, is a singular transformation matrix with the dimension of M×N, and the element in its i-th row and j-th column is expressed as , where and are the starting angles of the singular transformation matrix, and represent the detection matrix and the reception matrix respectively, both with the dimension of N×M, represents the mean value of the i-th row of the matrix , represents the variance of the j-th column of the matrix .

[0012] The calculation and processing of the interleaving parameters for the statistical information set and the channel dimension information to obtain an interleaving parameter information set include: Perform time-domain dimension calculation and processing on the time-domain statistical information subset in the statistical information set to obtain a time-domain dimension value; Perform frequency-domain dimension calculation and processing on the frequency-domain statistical information subset in the statistical information set to obtain a frequency-domain dimension value; Determine the least common multiple of the time-domain dimension value and the frequency-domain dimension value as the row dimension value of the interleaving matrix; Determine the least common multiple of the time-domain dimension value, the frequency-domain dimension value, and the channel dimension information as the column dimension value of the interleaving matrix; Construct an interleaving parameter information set by using the row dimension value and the column dimension value of the interleaving matrix.

[0013] The expression of the time-domain dimension calculation and processing is: , where is the median value, is the mode value, is the variance value, is the range value, is the mean value, N is the row dimension of the detection matrix, represents rounding up, represents the time domain dimension value; The expression for the frequency domain dimension calculation and processing is: , where, , , respectively represent the first-order Laguerre polynomial, the second-order Laguerre polynomial, and the third-order Laguerre polynomial, respectively represent the frequency domain mean, the frequency domain variance, the average rise time, the harmonic mean, the liquidity value, and the average derivative, represents rounding down, represents the frequency domain dimension value.

[0014] In the second aspect of the embodiments of the present application, an anti-attack interleaving device for communication information is disclosed. The device includes: A memory storing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory and executes the anti-attack interleaving method for communication information.

[0015] In the third aspect of the embodiments of the present application, a computer-readable storage medium is disclosed. The computer-readable storage medium stores computer instructions, and when the computer instructions are called by a computer, they are used to execute the anti-attack interleaving method for communication information.

[0016] In the fourth aspect of the embodiments of the present application, an information data processing terminal is disclosed. The information data processing terminal is used to implement the anti-attack interleaving method for communication information.

[0017] The beneficial effects of the present invention are: The present invention discloses an anti-attack interleaving method and device for communication information, which solves the problems of the fixed parameters of the interleaving method in the current communication system, resulting in poor anti-interference effect and affecting the security of the communication system.

[0018] The present invention analyzes the information sequence to be transmitted in multiple dimensions in the time domain and frequency domain to obtain a statistical information set; detects and models the communication channel of the information sequence to be transmitted to obtain channel dimension information; and performs fusion calculation on the statistical information set and the channel dimension information to obtain an interleaving parameter information set. In the process of determining the interleaving parameters, the present invention repeatedly considers the characteristics of the communication channel of the information sequence to be transmitted, ensuring the effectiveness of the interleaving parameters and the performance of anti-channel non-ideal characteristics.

[0019] In the process of channel estimation of the present invention, a channel estimation model for interleaving parameters is specifically established. By solving this model, the correlation and coupling of channel parameters and interleaving parameters are ensured, laying a foundation for correctly obtaining interleaving parameters. Description of the Drawings

[0020] Figure 1 It is a flowchart of the implementation of the method of the present invention. Detailed Embodiment

[0021] To better understand the content of the present invention, an embodiment is given here.

[0022] Figure 1 It is a flowchart of the implementation of the method of the present invention.

[0023] In the first aspect of the embodiment of the present application, an anti-attack interleaving method for communication information is disclosed, including: S1, obtaining an information sequence to be transmitted; S2, performing statistical analysis processing on the information sequence to be transmitted to obtain a statistical information set; S3, performing detection and modeling processing on the communication channel of the information sequence to be transmitted to obtain channel dimension information; S4, performing interleaving parameter calculation processing on the statistical information set and the channel dimension information to obtain an interleaving parameter information set; S5, using the interleaving parameter information set to perform interleaving encoding processing on the information sequence to be transmitted to obtain an information sequence to be sent; The performing statistical analysis processing on the information sequence to be transmitted to obtain a statistical information set includes: Performing statistical value calculation processing on the information sequence to be transmitted to obtain a time-domain statistical information subset; the time-domain statistical information subset includes the mean value, median value, mode value, range value, and variance value of the information sequence to be transmitted; Performing frequency-domain transformation on the information sequence to be transmitted to obtain a frequency-domain sequence; Performing statistical processing on the frequency-domain sequence to obtain a frequency-domain statistical information subset; the frequency-domain statistical information subset includes frequency-domain mean, frequency-domain variance, average rise time, harmonic mean, liquidity value, average derivative; Merging the time-domain statistical information subset and the frequency-domain statistical information subset to obtain a statistical information set; The performing detection and modeling processing on the communication channel of the information sequence to be transmitted to obtain channel dimension information includes: S31, using a transmitting end to generate a channel detection sequence and sending the channel detection sequence to a receiving end via a communication channel; S32. Use the receiving end to receive a received sequence corresponding to the channel sounding sequence; S33. Perform calculation processing on the received sequence and the channel sounding sequence to obtain channel dimension information.

[0024] The performing calculation processing on the received sequence and the channel sounding sequence to obtain channel dimension information includes: S331. Divide both the channel sounding sequence and the received sequence into N segments equally to obtain corresponding N sub-sequences respectively; number the sub-sequences of the channel sounding sequence and the received sequence according to their appearance order to obtain the sequence number values of the sub-sequences; S332. Use all the sub-sequences of the channel sounding sequence to construct a sounding matrix; use all the sub-sequences of the received sequence to construct a received matrix; S333. Construct a channel estimation model for the sounding matrix and the received matrix; S334. Solve the channel estimation model to obtain a channel feature matrix; S335. Determine the rank of the channel feature matrix as the channel dimension information.

[0025] The using all the sub-sequences of the channel sounding sequence to construct a sounding matrix includes: Use all the sub-sequences of the channel sounding sequence as row vectors and arrange them according to the corresponding sequence number values to obtain a sounding matrix; For the received matrix, it can be done in the above manner.

[0026] The expression of the channel estimation model is: , where, represents an identity matrix with the row dimension of the channel feature matrix as the dimension, is a singular representation matrix, represents the element in the i-th row and j-th column of the singular representation matrix, is a singular transformation matrix with the dimension of M×N, and the element in its i-th row and j-th column is expressed as , where, and are the starting angles of the singular transformation matrix, and respectively represent the sounding matrix and the received matrix, both of which have the dimension of N×M, represents the mean value of the i-th row of the matrix , represents the matrix The variance of the j-th column.

[0027] The channel estimation model constructs an objective function to minimize the weighted sum of squares of the elements of the singular representation matrix P, comprehensively considering the relationship between the singular transformation matrix W, the detection matrix, and the reception matrix K. It can extract the accurate channel feature matrix C from complex channel detection and reception data. This modeling method effectively captures the time-varying characteristics and multipath effects of the channel and can more realistically reflect the actual situation of the channel compared with traditional simple models.

[0028] The constraint conditions force the row vectors of the channel feature matrix C to satisfy the orthonormalization condition, ensuring that the solution results of the model have physical significance and mathematical stability. It avoids the occurrence of ill-conditioned matrices or unreasonable solutions during the solution process, making the channel estimation results reliable in different communication environments.

[0029] Utilizing the special structure of the singular transformation matrix W (based on a combination of trigonometric functions), it has a certain inhibitory effect on channel noise and interference. In actual communication, it can more accurately estimate channel parameters from the received signals containing noise, improving the anti-interference performance of channel estimation.

[0030] The calculation and processing of the interleaving parameters for the statistical information set and the channel dimension information to obtain the interleaving parameter information set include: S41, performing time-domain dimension calculation and processing on the time-domain statistical information subset in the statistical information set to obtain the time-domain dimension value; S42, performing frequency-domain dimension calculation and processing on the frequency-domain statistical information subset in the statistical information set to obtain the frequency-domain dimension value; S43, determining the least common multiple of the time-domain dimension value and the frequency-domain dimension value as the row dimension value of the interleaving matrix; S44, determining the least common multiple of the time-domain dimension value, the frequency-domain dimension value, and the channel dimension information as the column dimension value of the interleaving matrix; S45, constructing the interleaving parameter information set using the row dimension value and the column dimension value of the interleaving matrix; The expression for the time-domain dimension calculation and processing is: , where is the median value, is the mode value, is the variance value, is the range value, is the mean value, N is the row dimension of the detection matrix, represents rounding up, represents the time-domain dimension value; The expression for calculating and processing the time domain dimension non-linearly combines key features such as the median value, mode value, variance value, range value, and mean value in the time domain statistics of the information source through trigonometric functions, exponential functions, and arctangent functions, comprehensively and meticulously depicting the distribution characteristics and variation laws of the information source in the time domain. Compared with single-statistic calculation, it can more deeply reflect the complex characteristics of the information source. By adjusting the parameters in the expression, it can flexibly adapt to the time domain characteristics of different types of information sources. Whether it is a stationary information source or a non-stationary information source, this expression can dynamically calculate reasonable time domain dimension values according to the changes in statistical characteristics, providing accurate time domain parameters for the construction of the interleaving matrix; the introduction of non-linear functions makes the expression insensitive to small fluctuations in the statistical characteristics of the information source and has a certain anti-noise ability. In actual communication, even if the information source data is slightly interfered or the statistical characteristics have slight changes, it can still stably calculate reliable time domain dimension values.

[0031] The expression for calculating and processing the frequency domain dimension is: , where, , , respectively represent the first-order Laguerre polynomial, second-order Laguerre polynomial, and third-order Laguerre polynomial, respectively represent the frequency domain mean, frequency domain variance, average rise time, harmonic mean, liquidity value, and average derivative, represents floor function, represents the frequency domain dimension value; The expression for calculating and processing the frequency domain dimension utilizes various frequency domain statistics such as the first-order, second-order, and third-order Laguerre polynomials, as well as the frequency domain mean, frequency domain variance, average rise time, harmonic mean, liquidity value, and average derivative, to comprehensively extract information such as the energy distribution, frequency characteristics, and variation trends of the information source in the frequency domain. Compared with simple frequency domain parameter calculation, it can more meticulously describe the frequency domain characteristics of the information source. The introduction of the time domain dimension value as one of the calculation factors in the expression reflects the correlation between time domain and frequency domain characteristics. Considering the characteristics of the information source in the time domain when calculating the frequency domain dimension enables the interleaving parameters to better balance the anti-interference requirements in the time domain and frequency domain, improving the overall interleaving performance. By adjusting the coefficients of the Laguerre polynomials and the weight relationships of various statistics, the frequency domain dimension calculation can be optimized for different communication scenarios and information source types. In a complex and changeable communication environment, it can quickly adapt to changes in frequency domain characteristics and ensure the effectiveness of interleaving coding.

[0032] Using the set of interleaving parameter information to perform interleaving coding processing on the information sequence to be transmitted to obtain the information sequence to be sent, including: Using the row dimension value and column dimension value of the interleaving matrix in the set of interleaving parameter information as the row dimension and column dimension respectively, an information matrix is constructed using the information sequence to be transmitted; Using the encoding matrix, the information matrix is encoded to obtain an encoded information matrix; All column vectors of the encoded information matrix are concatenated to obtain the information sequence to be sent, thus completing the information interleaving process.

[0033] Using the row dimension value and column dimension value of the interleaving matrix in the set of interleaving parameter information as the row dimension and column dimension respectively, an information matrix is constructed using the information sequence to be transmitted, including: Taking the row dimension number of elements of the information sequence to be transmitted as row vectors, and using the column dimension number of row vectors to arrange them in the column direction to obtain an information matrix; The encoding matrix is the matrix form of the encoding vector; the encoding vector can be a Turbo code encoding vector or an LDPC code encoding vector; The element in the i-th row and j-th column of the encoding matrix has the following expression: , where is the Gaussian function, and are the time-domain transformation length and frequency-domain transformation length respectively, and A is the information matrix.

[0034] Solving the channel estimation model to obtain the channel feature matrix includes: S101, using the initialized channel feature matrix as the initial solution to determine the increment matrix ; S102, expressing the objective function as a function of the matrix ; ; S103, taking the elements of the matrix as independent variables, and obtaining the first-order partial derivative matrix of the independent variables at the value ; S104, constructing the first solution equation of the iterative increment matrix : , S105, solving the first solution equation to obtain the value of the iterative increment matrix ; judging whether it is less than the set discrimination threshold. If it is less than the set discrimination threshold, determine For the calculation result ; Otherwise, use to replace and execute S103; For the channel sounding sequence, it includes the 1st subsequence to the N1th subsequence; for the received sequence, it includes the 1st subsequence to the N1th subsequence.

[0035] The value of N1 should ensure that A1 / N1 is an integer.

[0036] The average rise time is the average rise time of all amplitudes of the frequency-domain sequence; The harmonic mean is the mean of all harmonic frequencies of the frequency-domain sequence; The liquidity value is the square root of the variance of the first derivative of the frequency-domain sequence divided by the variance value of the information sequence to be transmitted; The average derivative is the average of the derivatives of each point of the frequency-domain sequence; In the second aspect of the embodiments of the present application, an anti-attack interleaving device for communication information is disclosed. The device includes: A memory storing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory and executes the anti-attack interleaving method for the communication information.

[0037] In the third aspect of the embodiments of the present application, a computer-readable storage medium is disclosed. The computer-readable storage medium stores computer instructions, and when the computer instructions are called by the computer, they are used to execute the anti-attack interleaving method for the communication information.

[0038] In the fourth aspect of the embodiments of the present application, an information data processing terminal is disclosed. The information data processing terminal is used to implement the anti-attack interleaving method for the communication information.

[0039] The above are only the embodiments of the present application and are not used to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. An anti-attack interleaving method for communication information, characterized in that Including: S1. Obtain the information sequence to be transmitted; S2. Perform statistical analysis processing on the information sequence to be transmitted to obtain a statistical information set; S3. Perform detection and modeling processing on the communication channel of the information sequence to be transmitted to obtain channel dimension information; S4. Perform interleaving parameter calculation processing on the statistical information set and the channel dimension information to obtain an interleaving parameter information set; S5. Use the interleaving parameter information set to perform interleaving encoding processing on the information sequence to be transmitted to obtain the information sequence to be sent.

2. The anti-attack interleaving method for communication information according to claim 1, characterized in that The performing statistical analysis processing on the information sequence to be transmitted to obtain a statistical information set includes: Perform statistical value calculation processing on the information sequence to be transmitted to obtain a time-domain statistical information subset; the time-domain statistical information subset includes the mean value, median value, mode value, range value, and variance value of the information sequence to be transmitted; Perform frequency-domain transformation on the information sequence to be transmitted to obtain a frequency-domain sequence; Perform statistical processing on the frequency-domain sequence to obtain a frequency-domain statistical information subset; the frequency-domain statistical information subset includes frequency-domain mean, frequency-domain variance, average rise time, harmonic mean, liquidity value, and average derivative; Merge the time-domain statistical information subset and the frequency-domain statistical information subset to obtain a statistical information set.

3. The anti-attack interleaving method for communication information according to claim 2, characterized in that, The performing detection and modeling processing on the communication channel of the information sequence to be transmitted to obtain channel dimension information includes: S31. Use the sending end to generate a channel detection sequence and send the channel detection sequence to the receiving end via the communication channel; S32. Use the receiving end to receive a received sequence corresponding to the channel detection sequence; S33. Perform calculation processing on the received sequence and the channel detection sequence to obtain channel dimension information.

4. The anti-attack interleaving method for communication information according to claim 3, characterized in that The performing calculation processing on the received sequence and the channel detection sequence to obtain channel dimension information includes: S331. Divide both the channel detection sequence and the received sequence into N segments equally to obtain corresponding N sub-sequences respectively; S332. Use all the sub-sequences of the channel detection sequence to construct a detection matrix; use all the sub-sequences of the received sequence to construct a received matrix; S333. Use the detection matrix and the received matrix to construct a channel estimation model; S334. Solve the channel estimation model to obtain a channel feature matrix; S335. Determine the rank of the channel feature matrix as the channel dimension information.

5. The anti-attack interleaving method for communication information according to claim 4, wherein The expression of the channel estimation model is: , Among them, represents an identity matrix with the row dimension of the channel feature matrix as the dimension, is the singular representation matrix, represents the element in the i-th row and j-th column of the singular representation matrix, is the singular transformation matrix, and its dimension is M×N, and respectively represent the sensing matrix and the receiving matrix, and their dimensions are both N×M, represents the mean value of the i-th row of the matrix , represents the variance of the j-th column of the matrix .

6. The anti-attack interleaving method for communication information according to claim 4, wherein The performing interleaving parameter calculation processing on the statistical information set and the channel dimension information to obtain an interleaving parameter information set includes: Perform time-domain dimension calculation processing on the time-domain statistical information subset in the statistical information set to obtain a time-domain dimension value; Perform frequency-domain dimension calculation processing on the frequency-domain statistical information subset in the statistical information set to obtain a frequency-domain dimension value; Determine the least common multiple of the time-domain dimension value and the frequency-domain dimension value as the row dimension value of the interleaving matrix; Determine the least common multiple of the time-domain dimension value, the frequency-domain dimension value, and the channel dimension information as the column dimension value of the interleaving matrix; An interleaving parameter information set is constructed by using the row dimension value of the interleaving matrix and the column dimension value of the interleaving matrix.

7. The anti-attack interleaving method for communication information according to claim 6, characterized in that, The expression for the time domain dimension calculation and processing is: ， Among them, is the median value, is the mode value, is the variance value, is the range value, is the mean value, N is the row dimension of the detection matrix, represents rounding up, represents the time domain dimension value; The expression for the frequency domain dimension calculation and processing is: ， Among them, , , represent the first-order Laguerre polynomial, the second-order Laguerre polynomial, and the third-order Laguerre polynomial respectively, represent the frequency-domain mean, the frequency-domain variance, the average rise time, the harmonic mean, the liquidity value, and the average derivative respectively, represents rounding down, represents the frequency-domain dimension value.

8. An anti-attack interleaving device for communication information, characterized in that, The device includes: 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 anti-attack interleaving method for communication information according to any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions, which are used to execute the anti-attack interleaving method for communication information according to any one of claims 1 to 7 when called by a computer.

10. An information data processing terminal, characterized in that, The information data processing terminal is used to implement the anti-attack interleaving method for communication information according to any one of claims 1 to 7.

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