CN110912626B - Method for evaluating communication anti-interference performance of measurement and control system - Google Patents
Method for evaluating communication anti-interference performance of measurement and control system Download PDFInfo
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Abstract
The invention discloses a method for evaluating the anti-interference performance of communication of a communication control system, and aims to provide a method for evaluating the anti-interference performance more comprehensively. The invention is realized by the following technical scheme: firstly, according to the received measured link synchronization probability, the measured link bit error rate, the measured link frame error rate, the telemetering link synchronization probability and the telemetering link frame error rate, link parameters are obtained through an anti-interference decision module; measuring the information rate and the spread spectrum code rate of the link, and calculating the transmission reliability of the measured link; and judging whether the performance evaluation period is longer than the duration of the telemetry frame, if so, calculating the transmission reliability of the communication link of the measurement and control system according to the synchronization probability of the telemetry link and the frame error rate of the telemetry link to obtain an evaluation value and an evaluation grade of a link transmission reliability index, otherwise, taking the measured link transmission reliability as the evaluation value and the evaluation grade of the transmission reliability of the communication link of the measurement and control system, and finally, weighting and summing the evaluation results to obtain the total anti-interference performance of the link.
Description
Technical Field
The invention relates to the technical field of signal processing and communication, in particular to a communication anti-interference performance evaluation method adopted in a measurement and control system.
Background
The evaluation of the anti-interference performance of the measurement and control system is an important link of the evaluation of the anti-interference efficiency of the aerospace measurement and control system. With the increasingly complex electromagnetic environment, the aerospace measurement and control system faces the test of how to implement effective measurement and control in the severe electromagnetic environment to ensure the normal operation of the space information system, so that the measurement and control system is required to have strong anti-interference capability, and performance improvement and paid cost caused by adopting an anti-interference means are required to perform performance evaluation. Meanwhile, with the development of cognitive anti-interference communication, an anti-interference decision module serving as a core of a cognitive anti-interference engine needs to perform performance evaluation on a decision result and adjust communication system parameters according to a real-time anti-interference performance evaluation result. However, due to the complexity and the particularity of the measurement and control communication system, research on a communication anti-interference performance evaluation method of the measurement and control communication system is relatively deficient at home and abroad, so that how to objectively and scientifically evaluate the communication anti-interference performance of the measurement and control communication system becomes a difficult problem to be solved urgently. For the measurement and control communication system, if performance evaluation is performed from various aspects of the operation complexity, the equipment cost, the equipment size, the transmission reliability and the like of the measurement and control communication system, the number of indexes to be considered is large, although the indexes all affect the transmission performance of the measurement and control communication system to different degrees, if each index is examined one by one, the evaluation complexity is large, and the evaluation period is long and complex. Therefore, the evaluation of the communication anti-interference performance of the measurement and control communication system should be selected reasonably from a huge number of indexes in a targeted manner according to the main requirements of current communication. Generally, the measurement and control communication system needs to ensure transmission reliability, so the system transmission reliability is a necessary index in communication anti-interference performance evaluation. The system performance also comprises power efficiency, spectrum efficiency, interference suppression performance and the like, so how to construct an evaluation index, how to calculate a system transmission reliability index and how to scientifically and quantitatively evaluate the anti-interference performance of the measurement and control system becomes a difficult problem. With the continuous development of the aerospace measurement and control technology, the aerospace measurement and control system goes through the development process from a separation system to a unified system, from a non-spread spectrum system to a spread spectrum system, and from a foundation to a space-based integrated measurement and control network and then to a space-based integrated measurement and control network. Due to the importance of the measurement and control system, the interference and anti-interference technology is always in the development process of the measurement and control system. The evaluation of the anti-interference performance of the measurement and control system is a complex problem, and the comprehensive and scientific evaluation of the anti-interference performance of the measurement and control system needs to comprehensively analyze and evaluate a plurality of factors influencing the anti-interference performance. The anti-interference performance of the measurement and control system is improved mainly through three aspects, namely, the basic parameters are improved, and the anti-interference performance is improved, such as the power of a transmitter, the gain of an antenna, the working frequency and the like is improved; improving working systems to improve anti-interference performance, such as direct spread spectrum, frequency hopping spread spectrum, mixed spread spectrum and other working systems; the anti-interference performance is improved by applying various technologies, such as adaptive zeroing, adaptive coding, pulse compression and the like. Spread spectrum communication systems are widely used at present. Direct sequence spread spectrum communication systems spread the information to be transmitted over a wide frequency band with a pseudorandom sequence. At the receiving end, the same pseudo-random sequence as that used by the transmitting end is used to de-spread the received spread spectrum signal and recover the original information. The interference of the interference technology of the direct sequence spread spectrum system at home and abroad can be roughly divided into two types, one type is suppression type interference, and the other type comprises narrow-band noise interference, single-tone and multi-tone interference, pulse interference, comb spectrum interference and the like; the second is deceptive jamming, which means transmitting or forwarding pulse wave or continuous wave signals modulated in amplitude, frequency or phase to disturb or deceive an enemy receiver to obtain false information and make an erroneous judgment. It is characterized in that the interfering signal and the target signal have some similar characteristics. Spoofing type interference can be divided into emulated spoofing and simulated spoofing. Analog spoofing includes various voice modulations (AM, FM, SSB), digital modulations (2ASK, 2PSK, QPSK, etc.) and spread spectrum modulations (BPSK-DS). Deceptive jamming is targeted in the frequency domain, with its center frequency coinciding with the communication signal, and is divided in the time domain into transponder and transponder. The simulated deception jamming is also called related deception jamming, and two methods for realizing the simulated deception jamming are provided, wherein one method is answer-type deception jamming, and the other method is forwarding-type deception jamming. Generating a corresponding deception jamming pattern by answering deception according to the guiding parameters of the reconnaissance guiding system; the forwarding spoofing interference is transmitted after the received target signal is properly processed. In summary, it is necessary to analyze and evaluate the effect of interference in direct spread spectrum communication. In a direct sequence spread spectrum communication system, the following modulation schemes are generally adopted: (1) binary Phase Shift Keying (BPSK): it is the most common modulation scheme in spread spectrum systems. (2) Quadrature Phase Shift Keying (QPSK): it is the most common modulation mode for satellite digital signals at present. (3) QPSK (offset quadrature phase shift keying) is an improvement over QPSK. Spreading code type in direct spread communication systems the selection of the spreading code is of crucial importance. The method relates to the multipath interference resistance and the interference resistance of the system, the confidentiality and the concealment of information data and the realization of a capturing and synchronizing system. Pseudo-random (or pseudo-Noise, PN) code sequences are a common spreading code. A pseudorandom sequence has the fundamental characteristic of being similar to a random sequence, being a periodic binary sequence that appears random but is in fact regular. If the transmitted sequence is completely randomly scrambled, the receiver cannot recover the original sequence. The performance of the spread spectrum measurement and control system for resisting different forms of interference is greatly different, and the interference forms are various, such as single-frequency interference, narrow-band interference, broadband interference, white noise interference and the like. The interference effect of spread spectrum uniform random binary code phase modulation noise on a direct spread signal modulated by BPSK presents obvious switching characteristics: when the interference signal power is greater than the signal power, the signal is severely interfered; for the detection and interference of direct spread spectrum signals, digital modulation is usually adopted in spread spectrum communication, and the interference is implemented on a spread spectrum system, namely, the spread spectrum communication has higher bit error rate, so that the communication cannot be normally carried out. Because of the wide bandwidth of the direct-spread signal, its power spectral density is lower than the noise level, and therefore, such a signal is difficult to detect. When the communication system adopts the technologies of spread spectrum, error correction coding, complex modulation and the like, the performance evaluation of the system under the complex interference environment and the imperfect propagation condition is very difficult. The traditional analytic hierarchy process has partial defects, such as easy occurrence of reverse order of evaluation results, disjointed judgment matrix consistency and thinking consistency and the like.
Because different indexes may have different orders of magnitude and have different dimensions, performance evaluation can be performed only after parameter processing is performed on the indexes, so the communication anti-interference performance evaluation of the measurement and control communication system is performed by the following method:
1) the selected index is subjected to amplitude limitation, namely the index is limited in a specific value interval;
2) firstly, the selected index needs to be subjected to dimensionless normalization, the normalization can be divided into linear normalization and nonlinear normalization, the linear normalization is carried out on the index with uniform distribution such as dB value of transmitting power and smaller value range, and the nonlinear normalization is carried out on the index with non-uniform distribution such as error rate or larger value range;
3) and finally, distributing weights to different indexes according to the current requirement of the measurement and control communication system, carrying out weighted summation on all selected indexes to obtain a total communication anti-interference performance index, and generally distributing higher weight values to important indexes such as system transmission reliability and the like. The indexes after dimension removal normalization usually cannot intuitively reflect the performance of the indexes, and the total anti-interference performance indexes after weighted summation also perform performance evaluation according to the relative magnitude of the quantity, so that the indexes after dimension removal normalization and the total anti-interference performance indexes cannot intuitively reflect the current performance of the system, and how to enable the evaluation indexes to more intuitively reflect the current performance of the system is a problem of performance parameter processing.
Disclosure of Invention
Aiming at solving the defects of the prior art, the invention aims to provide a communication anti-interference performance evaluation method which can realize more comprehensive evaluation of the communication anti-interference performance of a measurement and control communication system and has strong application value and is mainly used for the measurement and control communication system.
The above object of the present invention can be achieved by the following technical solutions: a method for evaluating communication anti-interference performance of a control communication system is characterized by comprising the following steps of firstly, obtaining the synchronization probability, the bit error rate and the frame error rate of a measured link and the synchronization probability and the frame error rate of a telemetering link through the anti-interference receiving of a measurement and control link; acquiring measurement and control link parameters through an anti-interference decision module: the method comprises an interference processing mode, an interference suppression degree, power, information rates and spread spectrum code rates of a telemetering link and a measuring link; calculating the transmission reliability of the measured link according to the synchronization probability, the bit error rate and the frame error rate of the measured link; calculating the transmission reliability of the telemetry link according to the synchronization probability and the frame error rate of the telemetry link; obtaining an evaluation value and an evaluation grade of a transmission reliability index of the measurement and control link according to the transmission reliability of the measurement link and the telemetry link; then calculating an evaluation value and an evaluation grade of the power efficiency index according to the transmitting power; calculating according to the information source rate and the spread spectrum code rate to obtain an evaluation value and an evaluation grade of the spectrum efficiency index; then, calculating an evaluation value and an evaluation grade of the interference suppression performance index according to the interference processing mode and the interference suppression degree; finally, weighting and summing the evaluation results of the transmission reliability index, the power efficiency index, the spectrum efficiency index and the interference suppression performance index of the measurement and control link obtained by calculation to obtain the total anti-interference performance of the measurement and control link, and evaluating the communication anti-interference performance of the measurement and control communication system; the evaluation value of each performance index is obtained by normalizing the evaluation function of the performance index and compressing the evaluation function by a mu-law logarithmic compression method.
Compared with the prior art, the invention has the following beneficial effects:
firstly, obtaining link reliability indexes such as measured link synchronization probability, measured link bit error rate, measured link frame error rate, telemetered link synchronization probability, telemetered link frame error rate and the like through link anti-interference receiving, then obtaining a power efficiency index according to transmitting power, obtaining a spectrum efficiency index according to an information source rate and a spread spectrum code rate, and then obtaining an interference suppression performance index according to an interference processing mode and an interference suppression degree to obtain an interference suppression performance index; the method can obtain larger processing gain, greatly improve the anti-interference capability of communication, not only exert the advantages of low interception and high concealment of direct-sequence spread spectrum signals, but also exert all the advantages of frequency hopping, and better solve the problems of near-far effect, multipath effect, same station interference and synchronization.
The link reliability index, the power efficiency index, the spectrum efficiency index and the interference suppression performance index which are obtained by calculation are subjected to weighted summation to obtain the total anti-interference performance of the link; the communication anti-interference performance of the measurement link and the telemetry link of the measurement and control system can be evaluated. Compared with the traditional single evaluation method, the method comprehensively considers indexes such as transmission reliability, power efficiency, frequency spectrum efficiency and interference suppression performance, and obtains a comprehensive evaluation result after each performance is evaluated independently, so that the communication anti-interference performance of the measurement and control communication system can be evaluated more comprehensively, and the method has high application value. Compared with the traditional performance evaluation method, the method comprehensively considers indexes such as transmission reliability, power efficiency, spectrum efficiency, interference suppression performance and the like, generates each index performance and comprehensive performance evaluation value based on the law logarithm compression method on the basis of carrying out standardized processing on each index, obtains the performance evaluation grade corresponding to the performance evaluation value according to the table 1, and can evaluate the communication anti-interference performance of the measurement and control communication system more comprehensively and intuitively.
TABLE 1 grade division
The invention can obtain evaluation values of different performance indexes by carrying out standardization processing and mu-law logarithmic compression processing on the selected performance evaluation indexes, can obtain a total performance evaluation value by weighting and summing the evaluation values of the performance indexes, can intuitively reflect the grade of the anti-dry performance by mapping the performance evaluation value into the evaluation grade, and has good application value. The communication performance can be evaluated according to the current system transmission performance and parameter configuration.
Table 1 the present invention can evaluate communication performance according to current system transmission performance and parameter configuration.
Drawings
Fig. 1 is a schematic view of an implementation flow of the evaluation of the communication anti-interference performance of the measurement and control communication system of the present invention.
Fig. 2 is a schematic diagram of a calculation flow of fig. 1 for measuring link transmission reliability.
Fig. 3 is a schematic diagram of a calculation flow of transmission reliability of a telemetry link of the measurement and control communication system.
Fig. 4 is a schematic diagram of a calculation flow of an evaluation value and an evaluation level of a link transmission reliability index of the measurement and control communication system.
Fig. 5 is a schematic diagram of a calculation flow of evaluation values and evaluation levels of power efficiency indicators of the measurement and control communication system.
Fig. 6 is a schematic diagram of a calculation flow of an evaluation value and an evaluation level of a spectral efficiency indicator of a measurement and control communication system.
Fig. 7 is a schematic diagram of a calculation flow of evaluation values and evaluation levels of interference suppression performance indexes of the measurement and control communication system.
FIG. 8 is a flowchart illustrating a process for normalizing an index based on a minimization parameter log normalization criterion.
FIG. 9 is a schematic diagram of a process flow for normalizing an index based on a maximization parameter log normalization criterion.
FIG. 10 is a schematic diagram of a process flow for normalizing an index based on a maximization parameter normalization criterion.
The technical solution of the present invention is described in detail below with reference to examples and the accompanying drawings.
Detailed Description
See fig. 1. According to the invention, firstly, the synchronization probability, the bit error rate and the frame error rate of a measured link and the synchronization probability and the frame error rate of a telemetering link are obtained through the anti-interference receiving of a measuring and controlling link; acquiring measurement and control link parameters through an anti-interference decision module: the method comprises an interference processing mode, an interference suppression degree, power, information rates and spread spectrum code rates of a telemetering link and a measuring link; calculating the transmission reliability of the measured link according to the synchronization probability, the bit error rate and the frame error rate of the measured link; calculating the transmission reliability of the telemetry link according to the synchronization probability and the frame error rate of the telemetry link; obtaining an evaluation value and an evaluation grade of a transmission reliability index of the measurement and control link according to the transmission reliability of the measurement link and the telemetry link; then calculating an evaluation value and an evaluation grade of the power efficiency index according to the transmitting power; calculating according to the information source rate and the spread spectrum code rate to obtain an evaluation value and an evaluation grade of the spectrum efficiency index; then, calculating an evaluation value and an evaluation grade of the interference suppression performance index according to the interference processing mode and the interference suppression degree; finally, weighting and summing the evaluation results of the transmission reliability index, the power efficiency index, the spectrum efficiency index and the interference suppression performance index of the measurement and control link obtained by calculation to obtain the total anti-interference performance of the measurement and control link, and evaluating the communication anti-interference performance of the measurement and control communication system; the evaluation value of each performance index is obtained by normalizing the evaluation function of the performance index and compressing the evaluation function by a mu-law logarithmic compression method.
The method comprises the following specific steps:
s1, obtaining the synchronization probability, bit error rate, frame error rate and the like of a measurement link and a remote measurement link through link anti-interference receiving; obtaining link parameters through an anti-interference decision module: interference processing mode, interference suppression degree, power, information rate and spread spectrum code rate of a telemetering link and a measuring link;
s2, calculating the transmission reliability of the measured link according to the measured link synchronization probability, the measured link bit error rate and the measured link frame error rate;
s3, judging whether the performance evaluation period is longer than the duration of the telemetry frame, if so, jumping to S4, and if not, switching to S5;
s4, calculating the transmission reliability of the telemetry link according to the synchronization probability of the telemetry link and the frame error rate of the telemetry link;
s5, calculating an evaluation value E of the link transmission reliability index according to the measured link transmission reliability and the telemetering link transmission reliabilityTRXAnd evaluating the grade;
s6, calculating an evaluation value of the power efficiency index according to the transmitting power
And evaluating the grade;
s7, calculating evaluation value of spectral efficiency index according to information source rate and spread spectrum code rate
And evaluating the grade;
s8, calculating an evaluation value of the interference suppression performance index according to the interference processing mode and the interference suppression degree
And evaluating the grade;
s9, according to link transmission reliabilityCalculating evaluation value E of total anti-interference performance of link according to indexes of power efficiency, spectrum efficiency and interference suppression performanceDLAnd rating, i.e.:
wherein wTRX、
And
respectively weights for transmission reliability, power efficiency, spectral efficiency and interference rejection performance indicators.
Referring to fig. 2, the step of measuring the link transmission reliability in S2 is as follows:
s21, within a single evaluation period, N should be receivedmSub-synchronization, if synchronization succeeds AmProbability of minor synchronization
S22, if the bit test field exists, the bit error rate of the t bit test field in each measurement frame obtained by the received measurement frame is
If CRC check of c bit feedback parameter passes, bit error rate of ith frame
Weighting results for feedback parameters and bit error rate of test data
Or else the bit error rate
For testing larger values of field bit error rate and t/c + t, i.e.
If a plurality of measurement frames are received in one evaluation period, the bit error rate is adjusted
Taking the mean as the bit error rate of the link
S23, for measuring the error bit rate of the link
Normalizing based on the logarithm normalization criterion of minimized parameter to obtain the normalization value of bit error rate of measured link
S24, obtaining an evaluation function for measuring the performance of the bit error rate of the link based on mu-law logarithmic compression processing
Wherein
Setting parameters in the mu-law logarithmic compression process;
s25, calculating an evaluation function for measuring the transmission reliability of the link according to the evaluation function for measuring the bit error rate of the link and the synchronization probability, and taking the product of the bit error rate of the link and the synchronization probability as the evaluation function for measuring the transmission reliability of the link, namely
Referring to fig. 3, the telemetry link transmission reliability step of S4 is as follows:
s41, setting a telemetering link to send continuously, and receiving N at most in each evaluation periodtmSubsynchronous, successful synchronization AtmSynchronization probability for sub-synchronization performance
Indicating that the synchronization probability is the ratio of the number of successful synchronizations to the maximum number of synchronizations received, i.e.
If the complete telemetry frame cannot be received in the evaluation period, the synchronization probability is not calculated;
s42, calculating the frame error rate of the telemetering link, and if A is received in the evaluation period TtmFrame error rate of a telemetry frame in a synchronous state
To evaluate the number of check errors Err within a period TtmAnd checking the total frame number AtmAdding the lost frame number into the frame error rate in the synchronous state to obtain a corrected frame error rate
Namely, it is
S43, correcting the error frame rate of the telemetering link
Based on the minimized parameter logarithm normalization criterion, the normalization value of the frame error rate of the telemetering link is obtained
S44, obtaining a telemetry link transmission reliability evaluation function based on mu-law logarithm compression processing
Wherein
Is a settable parameter in the process of mu-law logarithmic compression.
See fig. 4. S5, the steps of calculating the evaluation value and the evaluation level of the link transmission reliability index are as follows:
s51, judging whether the information source rate of the telemetering link is greater than the ratio of the frame length of the telemetering link to the evaluation period, if so, turning to S52, otherwise, turning to S53;
s52, weighting and summing the transmission reliability indexes of the measurement link and the remote measurement link to be used as a link transmission reliability index, namely, the transmission reliability evaluation function is
Wherein
Evaluating function for measuring link reliability
Turning to S54;
s53, taking the transmission reliability index of the measured link as the link transmission reliability index, namely, the transmission reliability evaluation function is
S54, obtaining a current link transmission reliability evaluation function E according to the table 1TRXAnd evaluating the link transmission reliability performance corresponding to the value.
Referring to fig. 5, the evaluation value and evaluation level calculation step of the power efficiency index at S6 is as follows:
s61, total transmitting power P for remote measurement and measurementtxBased on the minimized parameter logarithm normalization criterion, the normalization processing is carried out to obtain the total transmission power normalization value of telemetering measurement and measurement
S62, obtaining a power efficiency evaluation function based on mu-law logarithm compression processing
Wherein
Setting parameters in the mu-law logarithmic compression process;
s63, obtaining a current link power efficiency evaluation function according to the table 1
The value corresponds to a power efficiency performance evaluation level.
See fig. 6. S7, the steps of calculating the evaluation value and the evaluation level of the spectral efficiency index are as follows:
s71, respectively calculating to obtain the spectral efficiency of the measuring link and the telemetering link according to the information source rate and the spread spectrum code rate of the measuring link and the telemetering link, in the system, BPSK modulation and no forming filtering are adopted, the spread spectrum bandwidth is at least 2 times of the spread spectrum code rate, the spectral efficiency is the ratio of the information source rate to the 2 times of the spread spectrum code rate, and the spectral efficiency of the measuring link and the telemetering link is respectively obtained
And
s72. Spectrum efficiency for measuring link and remote measuring link
And
respectively carrying out normalization processing on the logarithm normalization criterion based on the maximization parameters to obtain the spectrum efficiency normalization values of the measurement link and the telemetering link
And
s73, obtaining a measurement link and a remote based on mu-law logarithm compression processingSpectral efficiency evaluation function of link measurement
And
wherein
And
setting parameters in the mu-law logarithmic compression process;
s74, weighting and summing the spectrum efficiency of the measuring link and the telemetering link to obtain a spectrum efficiency evaluation function
Namely, it is
Wherein the content of the first and second substances,
weights for measuring the spectral efficiency of the link;
s75, obtaining a current link spectrum efficiency evaluation function according to the table 1
And the corresponding link spectrum efficiency performance evaluation level is obtained.
See fig. 7. S8, the step of calculating the evaluation value and evaluation level of the interference suppression performance index is as follows:
s81, calculating the complexity of interference suppression implementation according to the selected interference suppression mode, wherein the complexity is 0 if no interference suppression mode is adopted, the complexity of time domain interference suppression is 0.2, the complexity of frequency domain interference suppression is 0.25, the complexity of space domain interference suppression is 0.55, and the complexity is the sum of the processing complexity of each interference suppression if a combination of different interference suppression modes is adopted
S82, taking the ratio of the receiving input signal-to-noise ratio and the despreading output signal-to-noise ratio of the measuring link and the telemetering link as the interference suppression degree of the measuring link and the telemetering link, namely Jrej＝SJNRo/SJNRI；
S83, respectively carrying out standardization processing on the interference suppression degrees of the measurement link and the telemetering link based on a maximization parameter normalization criterion to obtain a normalization value of the interference suppression degrees of the measurement link
Interference rejection normalization for telemetry link
And interference rejection processing complexity normalization value
S84, obtaining interference suppression degree evaluation functions of the measurement link and the remote measurement link based on mu-law logarithm compression processing
And interference suppression processing complexity evaluation function
Wherein
Setting parameters in the mu-law logarithmic compression process;
s85, carrying out weighted summation on the interference suppression degree indexes and the interference suppression processing complexity indexes of the measurement link and the telemetering link to obtain an interference suppression performance function, namely:
wherein
And
weights for interference suppression degree index and interference suppression processing complexity index of measurement link and remote measurement link respectively and
s86, obtaining a current link frequency spectrum efficiency evaluation function according to the table 1
And the corresponding link spectrum efficiency performance evaluation level is obtained.
See fig. 8. The index normalization processing steps based on the minimization parameter logarithmic normalization criterion of S23 are as follows:
s231, limiting the index, setting the index as P, and respectively setting the maximum value and the minimum value of the index P as PmaxAnd PminIf P > PmaxLet P be PmaxIf P < PminThen P is equal to Pmin；
S232, normalizing the limited index P based on a minimized parameter logarithm normalization criterion, namely using log10PmaxAnd log10The difference of P divided by log10PmaxAnd log10PminTo obtain a normalized parameter NP＝(log10Pmax-log10P)/(log10Pmax-log10Pmin)。
See fig. 9. The index normalization processing steps based on the maximization parameter logarithm normalization criterion at S72 are as follows:
s721, limiting the index, setting the index as P, and respectively setting the maximum value and the minimum value of the index P as PmaxAnd PminIf P > PmaxLet P be PmaxIf P < PminThen P is equal to Pmin；
S722, normalizing the limited index P based on a minimized parameter logarithm normalization criterion, namely using log10P and log10PminIs divided by log10PmaxAnd log10PminTo obtain a normalized parameter NP＝(log10P-log10Pmin)/(log10Pmax-log10Pmin)。
See fig. 10. The index normalization processing based on the maximization parameter normalization criterion at S83 comprises the following steps:
s831, limiting the index, setting the index as P, and respectively setting the maximum value and the minimum value of the index P as PmaxAnd PminIf P > PmaxLet P be PmaxIf P < PminThen P is equal to Pmin；
S832, normalizing the limited index P based on a minimized parameter logarithm normalization criterion, namely using P and PminIs divided by PmaxAnd PminTo obtain a normalized parameter NP＝(P-Pmin)/(Pmax-Pmin)。
Using BPSK modulated measurement and control communication system and AWGN channel, single tone interference environment with 10dB interference-signal ratio, transmitting power of-35 dBm and measuring link Eb/N0Taking 10dB as an example, the communication anti-interference performance of the measurement and control communication system is evaluated, and the information rate of the measurement link is
Frame length L(m)500bit, where the length of the test field in the measurement frame t is 100bit, the length of the feedback parameter c is 140bit, and the information rate of the telemetry link
Frame length L(tm)The spreading code rate of the system is R respectively as 1024 bitsc1.023Mbps and Rc2.046Mbps, the performance evaluation period T is 1 s.
The method for evaluating the anti-interference performance of communication adopted by the embodiment specifically comprises the following steps:
s1, obtaining the synchronization probability, bit error rate, frame error rate and the like of a measurement link and a remote measurement link through link anti-interference receiving; obtaining link parameters through an anti-interference decision module: interference processing mode, interference suppression degree, power, information rate and spread spectrum code rate of a telemetering link and a measuring link;
s2, calculating and measuring the transmission reliability of the link according to the measured link synchronization probability, the measured link bit error rate and the measured link frame error rate, and specifically, the steps are as follows:
s21, in each evaluation period, N should be receivedmIf the synchronization is successful, AmProbability of minor synchronization
S22, if the bit test field exists, obtaining the bit error rate of the t bit test field in each measurement frame according to the received measurement frame as
Bit error rate if CRC check of c bit feedback parameter passes
Weighting results for feedback parameters and bit error rate of test data
Or else the bit error rate
Taking the maximum value of the bit error rate of the test field and t/c + t, i.e.
If a plurality of measurement frames are received in one evaluation period, the bit error rate is measured
Is taken as the link bit error rate
S23, carrying out index normalization processing on the measured link bit error rate based on a minimized parameter logarithm normalization criterion, and specifically carrying out the following steps of:
s231, amplitude limiting is carried out on the measured link bit error rate, and the measured link bit error rate is subjected to amplitude limiting
If it is
Exceed
Maximum value of
Then order
Is composed of
Maximum value of
If it is
Is lower than
Minimum value of
Then order
Is composed of
Minimum value of (2)
S232, measuring the error bit rate of the link after amplitude limiting
Normalization based on a minimization parameter log normalization criterion, i.e. use
And
is divided by the difference of
And
to obtain the normalized evaluation function
S24, adopting parameters
To the indexes after the normalization processing
Evaluation function for measuring link bit error rate obtained based on mu-law logarithmic compression processing
Wherein
S25, calculating an evaluation function for measuring the transmission reliability of the link according to the evaluation function for measuring the bit error rate of the link and the synchronization probability, and taking the product of the bit error rate of the link and the synchronization probability as the evaluation function for measuring the transmission reliability of the link, namely
S3, judging whether the performance evaluation period is longer than the duration of the telemetry frame, if so, jumping to S4, and if not, switching to S5;
s4, calculating the transmission reliability of the telemetry link according to the synchronization probability of the telemetry link and the frame error rate of the telemetry link, and specifically referring to the steps of FIG. 3:
s41, setting a telemetering link to send continuously, and receiving N at most in each evaluation periodtmSubsynchronous, successful synchronization AtmSynchronization probability for sub-synchronization performance
Indicating that the synchronization probability is the ratio of the number of successful synchronizations to the maximum number of synchronizations received, i.e.
If the complete telemetry frame cannot be received in the evaluation period, the synchronization probability is not calculated;
s42, calculating the frame error rate of the telemetering link, and if A is received in the evaluation period TtmFrame error rate of a telemetry frame in a synchronous state
To evaluate the number of check errors Err within a period TtmAnd checking the total frame number AtmAdding the lost frame number into the frame error rate in the synchronous state to obtain a corrected frame error rate
Namely, it is
S43, correcting error frame rate
The method is obtained by carrying out index normalization processing based on the minimized parameter logarithm normalization criterion
The calculation method of (3) is the same as that of S23;
s44, adopting parameters
The index is normalized and processed to obtain
Telemetry link transmission reliability evaluation function obtained based on mu-law logarithm compression processing
S5, calculating the evaluation value and the evaluation grade of the link transmission reliability index according to the measured link transmission reliability and the telemetering link transmission reliability, and specifically referring to the steps of FIG. 4:
s51, judging whether the information source rate of the telemetering link is greater than the ratio of the frame length of the telemetering link to the evaluation period, if so, turning to S52, otherwise, turning to S53;
s52, weighting and summing the transmission reliability evaluation functions of the measurement link and the remote measurement link to obtain a link transmission reliability evaluation function ETRXI.e. by
Wherein
Evaluating function for measuring link reliability
Turning to S54;
s53, using the transmission reliability index of the measured link as the link transmission reliability index, namely
S54, obtaining a current link transmission reliability evaluation function E according to the table 1TRXAnd evaluating the link transmission reliability performance corresponding to the value.
S6, calculating an evaluation value and an evaluation grade of the power efficiency index according to the transmitting power, and specifically, referring to the figure 5:
s61, total transmitting power P for remote measurement and measurementtxThe method is obtained by carrying out index normalization processing based on the minimized parameter logarithm normalization criterion
The calculation method of (3) is the same as that of S23;
s62, adopting parameters
The index is normalized and processed to obtain
Power efficiency evaluation function obtained based on mu-law logarithmic compression processing
S63, obtaining a current link power efficiency evaluation function according to the table 1
The value corresponds to a power efficiency performance evaluation level.
S7, calculating an evaluation value and an evaluation grade of the spectrum efficiency index according to the information source rate and the spread spectrum code rate, and specifically referring to the following steps of FIG. 6:
s71, according to the information source rate and the spread spectrum code rate of the measurement and remote measurement linkIn the system, BPSK modulation is adopted to modulate non-forming filtering, the spread spectrum bandwidth is at least 2 times of the spread spectrum code rate, the frequency spectrum efficiency is the ratio of the information source rate to the 2 times of the spread spectrum code rate, and the frequency spectrum efficiency of the measuring link and the telemetering link is respectively obtained
And
s72. Spectrum efficiency for measuring link and remote measuring link
And
respectively carrying out index normalization processing based on the logarithm normalization criterion of the maximized parameters to obtain
And
and
the calculation method comprises the following specific steps:
s721. Spectrum efficiency for measurement link and telemetry link
And
the amplitude limiting is respectively carried out, and the amplitude limiting is carried out,
and
for measuring the maximum and minimum values of the spectral efficiency of the link, if
Then
If it is
Then
And
maximum and minimum values of the spectral efficiency of the telemetry link, if
Then
If it is
Then
S722. Spectrum efficiency for limited telemetry link
And
normalization based on a maximum parameter logarithmic normalization criterion, i.e. use
And
is divided by the difference of
And
to obtain the normalized evaluation function
By using
And
is divided by the difference of
And
to obtain a normalized evaluation function
S73, adopting parameters
And
normalizing the indexTo do without theory
And
obtaining a spectrum efficiency evaluation function of a measurement link and a telemetry link based on mu-law logarithmic compression processing
And
s74, weighting and summing the spectrum efficiency of the measuring link and the telemetering link to obtain a spectrum efficiency evaluation function
Namely, it is
Wherein the content of the first and second substances,
weights for measuring the spectral efficiency of the link;
s75, obtaining a current link spectrum efficiency evaluation function according to the table 1
And the corresponding link spectrum efficiency performance evaluation level is obtained.
S8, calculating an evaluation value and an evaluation grade of the interference suppression performance index according to the interference processing mode and the interference suppression degree, and specifically referring to the following steps:
s81, calculating the complexity of interference suppression processing according to the selected interference suppression mode, wherein if no interference suppression mode is adopted, the complexity is 0, the complexity of time domain interference suppression is 0.2, the complexity of frequency domain interference suppression is 0.25, the complexity of space domain interference suppression is 0.55, and if a combination of different interference suppression modes is adopted, the complexity is the sum of the complexity of each interference suppression processing
S82, taking the ratio of the receiving input signal-to-noise ratio and the despreading output signal-to-noise ratio of the measuring link and the telemetering link as the interference suppression degree of the measuring link and the telemetering link, namely Jrej＝SJNRo/SJNRI；
S83. degree of interference suppression on measurement link
And telemetry link interference rejection
Respectively carrying out index normalization processing on the interference suppression degrees of the measurement link and the telemetering link based on a maximum parameter normalization criterion to obtain
And
the degree of interference suppression of (a) is,
and
the calculation process of (a) is as follows, and the specific steps are shown in fig. 10:
s831. degree of interference suppression on measurement link
And telemetry link interference rejection
Respectively perform amplitude limiting if
Then
If it is
Then
If it is
Then
If it is
Then
S832, after amplitude limiting
And
normalization based on a maximization parameter normalization criterion, i.e. use
And
is divided by the difference of
And
to obtain the evaluation index after the normalization processing
By using
And
is divided by the difference of
And
to obtain the evaluation index after the normalization processing
S84. use
Interference suppression degree of measurement link and remote measurement link after index normalization processing
And interference rejection processing complexity
Interference suppression degree evaluation function of measurement link and telemetering link obtained based on mu-law logarithmic compression processing
And interference suppression processing complexity evaluation function
S85, interference suppression degree index and interference suppression processing complexity index of the measurement link and the remote measurement linkThe row weighted summation yields an interference rejection performance function, namely:
wherein
And
weights for interference suppression degree index and interference suppression processing complexity index of measurement link and remote measurement link respectively and
s86, obtaining a current link frequency spectrum efficiency evaluation function according to the table 1
And the corresponding link spectrum efficiency performance evaluation level is obtained.
S9, calculating an evaluation value and an evaluation grade of the total anti-interference performance of the link according to the transmission reliability, the power efficiency, the spectrum efficiency and the interference suppression performance indexes of the link, namely:
wherein wTRX、
And
respectively weights for transmission reliability, power efficiency, spectral efficiency and interference rejection performance indicators.
By adopting the evaluation method, the joint evaluation result of the anti-interference performance of the measurement link and the telemetry link under single-tone interference is shown in table 2.
TABLE 2 evaluation results of Performance
Under single-tone interference, when the spread spectrum code rate is 1.023Mcps, in an evaluation period, the frame error rate of the telemetry link is 1(2 frames are all wrong), the bit error rate of the measurement link is 0, because the data transmission rate of the telemetry link is higher than that of the measurement link, and the spread spectrum gain is lower than that of the measurement link, the performance of the measurement link is superior to that of the telemetry link, and the anti-interference performance of the system is comprehensively evaluated to be good according to the weight of each evaluation index and a total evaluation function; when the spreading code rate is 2.046Mcps, the spreading gain of the telemetry link is increased by 3dB, the frame error rate is changed to 0, the measured link still has no error code, the link transmission reliability is changed from good to excellent, and the comprehensive evaluation is excellent. In a measurement and control communication system, the invention can obtain evaluation values of different performance indexes by carrying out standardization processing and mu-law logarithmic compression processing on the selected performance evaluation indexes, can obtain a total performance evaluation value by weighting and summing the evaluation values of the performance indexes, can intuitively reflect the level of anti-interference performance by mapping the performance evaluation value to the evaluation level, and has good application value.
The foregoing is directed to the preferred embodiment of the present invention and it is noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.
Claims (9)
1. A method for evaluating communication anti-interference performance of a measurement and control communication system is characterized by comprising the following steps of firstly, obtaining the synchronization probability, the bit error rate and the frame error rate of a measurement link and the synchronization probability and the frame error rate of a telemetering link through the anti-interference receiving of the measurement and control link; acquiring measurement and control link parameters through an anti-interference decision module: the method comprises an interference processing mode, an interference suppression degree, power, information rates and spread spectrum code rates of a telemetering link and a measuring link; calculating the transmission reliability of the measured link according to the synchronization probability, the bit error rate and the frame error rate of the measured link; calculating the transmission reliability of the telemetry link according to the synchronization probability and the frame error rate of the telemetry link; obtaining an evaluation value and an evaluation grade of a transmission reliability index of the measurement and control link according to the transmission reliability of the measurement link and the telemetry link; then calculating an evaluation value and an evaluation grade of the power efficiency index according to the transmitting power; calculating according to the information source rate and the spread spectrum code rate to obtain an evaluation value and an evaluation grade of the spectrum efficiency index; then, calculating an evaluation value and an evaluation grade of the interference suppression performance index according to the interference processing mode and the interference suppression degree; finally, weighting and summing the evaluation results of the transmission reliability index, the power efficiency index, the spectrum efficiency index and the interference suppression performance index of the measurement and control link obtained by calculation to obtain the total anti-interference performance of the measurement and control link, and evaluating the communication anti-interference performance of the measurement and control communication system; the evaluation value of each performance index is obtained by normalizing the evaluation function of the performance index and compressing the evaluation function by a mu-law logarithmic compression method.
2. The method for evaluating the communication interference immunity of the measurement and control communication system according to claim 1, wherein: obtaining evaluation value E of transmission reliability index of measurement and control link according to transmission reliability of measurement link and telemetry linkTRXAnd evaluating the grade; calculating an evaluation function Ep of a power efficiency indicator from a transmit powertxAnd evaluating the grade; evaluation function for calculating spectrum efficiency index according to information source rate and spread spectrum code rate
And evaluating the grade; evaluation function for calculating interference suppression performance index according to interference processing mode and interference suppression degree
And evaluating the grade; according to link transmission reliability, power efficiency, spectrum efficiencyAnd calculating an evaluation function E of the total anti-interference performance of the link according to the interference suppression performance indexDLAnd rating, i.e.:
3. The method for evaluating the communication interference immunity of the measurement and control communication system according to claim 1, wherein: in measuring link transmission reliability: within a single evaluation period, N is receivedmSub-synchronization, if synchronization succeeds AmProbability of minor synchronization
If there is bit test field, the bit error rate of t bit test field in each measurement frame is obtained by the received measurement frame
If CRC check of c bit feedback parameter passes, bit error rate of ith frame
Weighting results for feedback parameters and bit error rate of test data
Or else the bit error rate
For testing field errorsThe larger of the bit rate and t/c + t, i.e.
If a plurality of measurement frames are received in one evaluation period, the bit error rate is adjusted
Taking the mean as the bit error rate of the measured link
Then measuring the error bit rate of the link
Normalizing based on the logarithm normalization criterion of minimized parameter to obtain the normalization value of bit error rate of measured link
Evaluation function for measuring link bit error rate performance based on mu-law logarithmic compression processing
Then, the evaluation function of the transmission reliability of the measured link is calculated according to the evaluation function of the bit error rate of the measured link and the synchronization probability, and the product of the bit error rate of the measured link and the synchronization probability is used as the evaluation function of the transmission reliability of the measured link, namely
4. The method for evaluating the communication interference immunity of the measurement and control communication system according to claim 1, wherein: in the transmission reliability of the telemetering link, the telemetering link is designed to transmit continuously, and at most N can be received in each evaluation periodtmSubsynchronous, successful synchronization AtmSynchronization probability for sub-synchronization performance
Indicating that the synchronization probability is the ratio of the number of successful synchronizations to the maximum number of synchronizations received, i.e.
If the complete telemetry frame cannot be received in the evaluation period, the synchronization probability is not calculated; calculating the frame error rate of the telemetry link, and if A is received in the evaluation period TtmFrame error rate of a telemetry frame in a synchronous state
To evaluate the number of check errors Err within a period TtmAnd checking the total frame number AtmAdding the lost frame number into the frame error rate in the synchronous state to obtain a corrected frame error rate
Namely, it is
And then correcting the frame error rate of the telemetry link
Based on the minimized parameter logarithm normalization criterion, the normalization value of the frame error rate of the telemetering link is obtained
Telemetry link transmission reliability evaluation function obtained based on mu-law logarithm compression processing
5. The method for evaluating the communication interference immunity of the measurement and control communication system according to claim 1, wherein: the calculation steps of the evaluation value and the evaluation grade of the link transmission reliability index are as follows: determining telemetry linkWhether the information source rate is greater than the ratio of the frame length of the telemetering link to the evaluation period is true or not, and if true, the evaluation function of the link transmission reliability is measured
And telemetry link transmission reliability evaluation function
The weighted sum is used as the transmission reliability index of the measurement and control link, namely the transmission reliability evaluation function of the measurement and control link is
Wherein
Evaluating function for measuring link reliability
The weight of (2); if the measured link reliability is not the same as the measured link reliability, the transmission reliability of the measured link is used as the transmission reliability index of the measured link, namely the transmission reliability evaluation function of the measured link is
Obtaining the transmission reliability evaluation function E of the current measurement and control link according to the following tableTRXAnd the evaluation level of the link transmission reliability performance corresponding to the value is as follows:
。
6. The method for evaluating the communication interference immunity of the measurement and control communication system according to claim 1, wherein: in the calculation of the evaluation value and the evaluation grade of the spectral efficiency index, the spectral efficiency of the measuring link and the telemetering link is respectively calculated according to the information source rate and the spread spectrum code rate of the measuring link and the telemetering link, in the system, BPSK modulation is adopted, no forming filtering is adopted, the spread spectrum bandwidth is at least 2 times of the spread spectrum code rate, the spectral efficiency is the ratio of the information source rate to the 2 times of the spread spectrum code rate, and the spectral efficiency of the measuring link and the telemetering link is respectively obtained
And
spectral efficiency for the measurement link and telemetry link
And
respectively carrying out normalization processing on the logarithm normalization criterion based on the maximization parameters to obtain the spectrum efficiency normalization values of the measurement link and the telemetering link
And
obtaining a spectrum efficiency evaluation function of a measurement link and a telemetry link based on mu-law logarithmic compression processing
And
then weighting and summing the spectrum efficiency of the measuring link and the telemetering link to obtain a spectrum efficiency evaluation function
Namely, it is
Wherein the content of the first and second substances,
weights for measuring the spectral efficiency of the link; obtaining the evaluation function of the spectral efficiency of the current link according to the following table
And the evaluation level of the link spectral efficiency performance corresponding to the value is as follows:
。
7. The method for evaluating the communication interference immunity of the measurement and control communication system according to claim 1, wherein: in the evaluation value and evaluation grade calculation of the interference suppression performance index, the complexity of realizing interference suppression is calculated according to the selected interference suppression mode, if no interference suppression mode is adopted, the complexity is 0, the complexity of time domain interference suppression is 0.2, the complexity of frequency domain interference suppression is 0.25, the complexity of space domain interference suppression is 0.55, and if a combination of different interference suppression modes is adopted, the complexity is the sum of the complexity of each interference suppression processing
The ratio of the receiving input signal-to-noise ratio and the despreading output signal-to-noise ratio of the measuring link and the telemetry link is used as the interference suppression degree of the measuring link and the telemetry link, namely Jrej＝SJNRo/SJNRI(ii) a Then for the measurement linkAnd the interference suppression degrees of the telemetering link are respectively standardized based on a maximization parameter normalization criterion to obtain a normalization value of the interference suppression degrees of the measuring link
Interference rejection normalization for telemetry link
And interference rejection processing complexity normalization value
Interference suppression degree evaluation function of measurement link and telemetering link obtained based on mu-law logarithmic compression processing
And interference suppression processing complexity evaluation function
Weighting and summing the interference suppression degree index and the interference suppression processing complexity index of the measurement link and the telemetering link to obtain an interference suppression performance function, namely:
wherein
And
weights for interference suppression degree index and interference suppression processing complexity index of measurement link and remote measurement link respectively and
obtaining the evaluation function of the spectral efficiency of the current link according to the following table
And the evaluation level of the link spectral efficiency performance corresponding to the value is as follows:
。
8. The method for evaluating the communication interference immunity of the measurement and control communication system according to claim 1, wherein: in the index normalization processing based on the minimized parameter logarithm normalization criterion, the index is limited, the index is set to be P, and the maximum value and the minimum value of the index P are respectively PmaxAnd PminIf P > PmaxLet P be PmaxIf P < PminThen P is equal to Pmin(ii) a Normalizing the limited index P based on the minimized parameter logarithm normalization criterion, i.e. using log10PmaxAnd log10The difference of P divided by log10PmaxAnd log10PminTo obtain normalized parameters
NP＝(log10Pmax-log10P)/(log10Pmax-log10Pmin)。
9. The method for evaluating the communication interference immunity of the measurement and control communication system according to claim 1, wherein: in the index normalization processing based on the maximization parameter normalization criterion: limiting the index, setting the index as P, and setting the maximum value and the minimum value of the index P as PmaxAnd PminIf P > PmaxLet P be PmaxIf P < PminThen P is equal to Pmin(ii) a Normalizing the limited index P based on the minimized parameter logarithm normalization criterion, namely P and PminIs divided by PmaxAnd PminTo obtain a normalized parameter NP＝(P-Pmin)/(Pmax-Pmin)。
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