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CN-122001527-A - Intelligent analysis method for tactical communication waveform simulation and interference effect evaluation

CN122001527ACN 122001527 ACN122001527 ACN 122001527ACN-122001527-A

Abstract

The invention relates to the technical field of communication countermeasure simulation, and discloses an intelligent analysis method for tactical communication waveform simulation and interference effect evaluation, which comprises the steps of constructing a simulation environment, loading waveform parameters and an interleaving matrix; the method comprises the steps of generating a transmitting signal and an interference signal to be overlapped and input into a receiver, monitoring a synchronous state to calculate the confidence coefficient loss of a logic domain, constructing a reverse mapping function by using an interleaving matrix inverse matrix, generating physical layer confidence coefficient loss distribution by backtracking mapping of the logic loss, generating physical layer semantic weight distribution based on a protocol frame structure, carrying out time domain weighted aggregation on the physical layer confidence coefficient loss distribution and the semantic weight distribution, and outputting an interference evaluation result. According to the invention, through a reverse mapping and semantic weighting mechanism, accurate backtracking of a physical layer at the interference damaged moment is realized, the difficult problem of evaluation interruption in the out-of-step state is solved, and the accuracy and completeness of tactical communication waveform simulation and interference effect evaluation intelligent analysis are remarkably improved.

Inventors

  • Liu Lieshuang
  • HUANG RUFEN

Assignees

  • 成都星海图灵科技有限公司

Dates

Publication Date
20260508
Application Date
20260204

Claims (10)

  1. 1. An intelligent analysis method for tactical communication waveform simulation and interference effect evaluation is characterized by comprising the following steps: Constructing a tactical communication countermeasure simulation environment, performing gridding treatment on a simulation time axis and a frequency axis, and loading physical layer parameters, link layer parameters and a protocol frame structure of a target tactical communication waveform, wherein the link layer parameters at least comprise an interleaving matrix; generating a transmitting signal based on the physical layer parameter and the link layer parameter, generating an interference signal based on a preset interference strategy, and inputting the transmitting signal, the interference signal and channel noise after superposition to a receiver model; monitoring the synchronous locking state of the receiver model in real time, and calculating a logic domain confidence loss sequence of a logic bit layer according to the synchronous locking state; Constructing a reverse mapping function by using an inverse matrix of the interleaving matrix, and retrospectively mapping the logic domain confidence loss sequence to a physical layer time axis by using the reverse mapping function to generate physical layer confidence loss distribution; identifying semantic importance of different types of bits based on the protocol frame structure, and generating physical layer semantic weight distribution; And carrying out time domain weighted aggregation on the physical layer confidence coefficient loss distribution and the physical layer semantic weight distribution, calculating a weighted interference efficiency index, and outputting an interference effect evaluation intelligent analysis result containing the weighted interference efficiency index.
  2. 2. The intelligent analysis method according to claim 1, wherein the physical layer parameters include a carrier frequency set, frequency hopping pattern logic, modulation scheme, symbol rate, and transmit power level, and the link layer parameters further include a forward error correction coding type and coding rate.
  3. 3. The intelligent analysis method for tactical communications waveform simulation and interference effect assessment of claim 1, wherein the step of generating a transmit signal based on the physical layer parameters and the link layer parameters comprises: Generating an original business data bit stream, executing channel coding operation on the original business data bit stream according to a forward error correction coding generating polynomial in the link layer parameter, and outputting a coded bit stream; Invoking the interleaving matrix to execute time domain interleaving processing on the coded bit stream to generate a physical layer bit stream; And converting the physical layer bit stream into a baseband complex symbol sequence by utilizing a modulation mode appointed in the physical layer parameters, and generating the transmitting signal by combining a shaping filter function and a carrier frequency.
  4. 4. The intelligent analysis method for tactical communications waveform simulation and interference effect assessment of claim 1, wherein the step of calculating a logic domain confidence loss sequence for a logic bit level based on the synchronization lock status comprises: Extracting a measured soft decision log likelihood ratio sequence from a decoder input of the receiver model when the synchronization lock state indicates that the receiver model is in a lock mode; Calculating the difference value between the absolute value of the actually measured soft decision log-likelihood ratio sequence and the absolute value of the reference log-likelihood ratio in the interference-free ideal state to obtain the logic domain confidence coefficient loss sequence; And if the difference value is smaller than zero, setting the corresponding value in the logic domain confidence coefficient loss sequence to zero.
  5. 5. The intelligent analysis method for tactical communications waveform modeling and interference effect assessment of claim 1, wherein the step of calculating a logic domain confidence loss sequence for a logic bit level based on the synchronization lock status further comprises: When the synchronous locking state indicates that the receiver model is in a step-out mode, starting a simulation time sequence deduction mechanism, and calculating a logic bit index corresponding to the current moment by utilizing an absolute reference clock of the tactical communication countermeasure simulation environment; And calculating the physical interference signal ratio at the current moment, and when the physical interference signal ratio exceeds a preset demodulation threshold, forcedly setting a value corresponding to the logic bit index in the logic domain confidence coefficient loss sequence as a reference log likelihood ratio absolute value in an ideal interference-free state.
  6. 6. The intelligent analysis method for tactical communications waveform simulation and interference effect assessment of claim 1, wherein the step of generating a physical layer confidence loss profile comprises: Initializing a physical layer confidence loss distribution array, an index of the physical layer confidence loss distribution array corresponding to the physical layer time grid cell; obtaining a logic index value of each logic bit in the logic domain confidence loss sequence, inputting the logic index value into the reverse mapping function, and calculating to obtain a physical layer symbol time index corresponding to each logic bit at a transmitting end; And filling loss values in the logic domain confidence loss sequence into the physical layer confidence loss distribution array corresponding to the physical layer symbol time index to obtain the physical layer confidence loss distribution.
  7. 7. The intelligent analysis method for tactical communications waveform modeling and interference effect assessment of claim 6, wherein the step of populating the physical layer confidence loss distribution array corresponding to the physical layer symbol time index with loss values in the logical domain confidence loss sequence further comprises: when the same physical layer symbol time index corresponds to a plurality of logic bit indexes, accumulating loss values of all logic bits mapped to the same physical layer symbol time index and calculating an arithmetic average value; And taking the arithmetic average value as a loss value corresponding to the physical layer symbol time index in the physical layer confidence coefficient loss distribution array.
  8. 8. The intelligent analysis method for tactical communications waveform simulation and interference effect assessment of claim 1, wherein the step of identifying semantic importance of different types of bits based on the protocol frame structure comprises: defining a logic domain semantic mask according to the protocol frame structure; Setting a first weight value for the synchronization header bit, a second weight value for the control signaling bit, and a third weight value for the traffic payload bit; The first weight value is greater than the second weight value, and the second weight value is greater than the third weight value.
  9. 9. The intelligent analysis method for tactical communications waveform simulation and interference effect assessment of claim 8, wherein the step of generating a physical layer semantic weight distribution comprises: Performing reverse interleaving processing on the logic domain semantic mask by using an inverse matrix of the interleaving matrix, and mapping the weight value of the logic domain to the physical layer transmitting moment; Searching weight values corresponding to all logic bits carried by each physical layer symbol moment in the logic domain semantic mask, calculating an arithmetic average value, and generating the physical layer semantic weight distribution; And directly assigning the weight value of the symbol time of the corresponding physical layer as the first weight value aiming at the synchronization head bit which is specified in the protocol and is not subjected to interleaving.
  10. 10. The intelligent analysis method for tactical communications waveform simulation and interference effect assessment of claim 1, wherein the step of calculating a weighted interference performance index comprises: Multiplying the value of the confidence coefficient loss distribution of the physical layer and the value of the semantic weight distribution of the physical layer at the same physical moment to obtain an instantaneous interference efficiency spectrum; Accumulating and summing the instantaneous interference efficiency spectrum in the whole simulation period, and dividing the accumulated and summed result by a normalization factor to obtain the weighted interference efficiency index; the normalization factor is formed by the product of the absolute value of the reference log likelihood ratio and the sum of the semantic weight distribution of the physical layer under the interference-free ideal state.

Description

Intelligent analysis method for tactical communication waveform simulation and interference effect evaluation Technical Field The invention relates to the technical field of communication countermeasure simulation, in particular to an intelligent analysis method for tactical communication waveform simulation and interference effect evaluation. Background Tactical communication waveform simulation and interference effect evaluation are key technical means in the field of communication countermeasure. The technology is characterized in that a physical layer transmitting and receiving whole flow of tactical communication waveforms is constructed through digital simulation, interference signals are superposed in a transmission channel, and the damage degree of a communication link in a complex electromagnetic environment is quantified by utilizing an intelligent analysis algorithm, so that data support is provided for waveform design optimization and anti-interference strategy formulation. In the prior art, in practical application, the statistical indexes such as the multi-dependence error rate, the frame error rate or the average signal to noise ratio are evaluated. The conventional practice is to count the number of logic bit errors after demodulation or calculate the signal energy contrast before demodulation at the receiving end. The analysis method based on the end-to-end statistical result can macroscopically characterize the overall communication probability of the communication system in a specific interference environment, and is widely applied to general link quality detection and qualitative efficiency grading. However, it is difficult to deeply reveal the microscopic mechanism of action of the interfering energy and the wave structure in the prior art. Because the tactical waveform widely adopts the channel interleaving technology, the concentrated interference in the time domain is discretized in the logic domain, so that the analysis result is difficult to trace back to locate the specific time when the physical layer is damaged. Meanwhile, the traditional statistical indexes treat all bits equally, the weight difference between key semantic information such as synchronous heads and common service data is not distinguished, and the actual blocking efficiency of interference to communication service is difficult to be reflected truly. In addition, when the receiver is out of step due to strong interference, the demodulation module usually stops outputting valid data, which causes simulation evaluation to appear data blank during link interruption, and it is difficult to maintain the continuity of all-time domain intelligent analysis. Therefore, the invention provides an intelligent analysis method for tactical communication waveform simulation and interference effect evaluation, which solves the defects of the prior art. Disclosure of Invention Aiming at the defects of the prior art, the invention provides an intelligent analysis method for tactical communication waveform simulation and interference effect evaluation, which solves the problems that the prior art is difficult to map logic error code backtracking to physical layer damaged time, ignores semantic weight differences of different types of bits and evaluates data deletion in a strong interference step-out state. In order to achieve the purpose, the intelligent analysis method for tactical communication waveform simulation and interference effect evaluation comprises the following steps: The method comprises the steps of constructing a tactical communication anti-simulation environment, performing gridding processing on a simulation time axis and a frequency axis, loading physical layer parameters, link layer parameters and a protocol frame structure of a target tactical communication waveform, wherein the link layer parameters at least comprise an interleaving matrix, generating transmitting signals based on the physical layer parameters and the link layer parameters, generating interference signals based on a preset interference strategy, superposing the transmitting signals, the interference signals and channel noise and inputting the superposed signals to a receiver model, monitoring a synchronous locking state of the receiver model in real time, calculating a logic domain confidence coefficient loss sequence of a logic bit layer according to the synchronous locking state, constructing a reverse mapping function by utilizing an inverse matrix of the interleaving matrix, backmapping the logic domain confidence coefficient loss sequence to the physical layer time axis to generate a physical layer confidence coefficient loss distribution, identifying semantic importance of different types of bits based on the protocol frame structure, generating a physical layer semantic weight distribution, performing time domain weighting aggregation on the physical layer confidence coefficient distribution and the physical layer semantic weight distri