CN114598375A - Non-signal-level satellite anti-interference simulation system supporting interference source access - Google Patents
Non-signal-level satellite anti-interference simulation system supporting interference source access Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/1851—Systems using a satellite or space-based relay
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/345—Interference values
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/391—Modelling the propagation channel
- H04B17/3912—Simulation models, e.g. distribution of spectral power density or received signal strength indicator [RSSI] for a given geographic region
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
A non-signal level satellite anti-interference simulation system supporting interference source access realizes anti-interference simulation full-flow work content of simulation evaluation from interference acquisition and detection, and comprises an interference acquisition unit, an interference detection unit and a simulation evaluation unit; the interference acquisition unit finishes the acquisition work of interference signals, including frequency conversion, sampling and storage of the signals; the interference detection unit reads in the interference signal that the interference acquisition unit stored to through the detection of multidimension characteristic obtain continuous complete interference parameter, include: interference power, interference frequency, interference bandwidth; the simulation evaluation unit supports various simulation modes, error rate calculation or data linked list establishment and query in different modes are realized by using the interference parameters acquired by the interference detection unit, and the evaluation of the anti-interference capability is completed. According to the invention, the interference signal is collected, the actual interference parameter is obtained based on the multi-dimensional characteristic detection, and then the model is constructed, so that the simulation result is more fit with the actual scene.
Description
Technical Field
The invention relates to a satellite anti-interference simulation technology, in particular to a non-signal-level satellite anti-interference simulation system supporting interference source access.
Background
In the design and development of satellite systems, the anti-interference capability is an important design index, and anti-interference methods generally include methods in a signal system level such as frequency hopping, and methods in a signal processing level such as zeroing and filtering. The complete satellite anti-interference simulation system can help researchers to evaluate the anti-interference capability of the system and feed back and improve the system design. Simulation systems can be generally classified into signal-level simulation and non-signal-level simulation. The advantage of signal level simulation is that the transmission and reception process of uplink and downlink signals and interference can be simulated as completely as possible, which is very close to the actual communication processing process. The defects are that the difficulty and the workload for writing the simulation program are relatively huge, and especially for a relatively complex communication system, the running efficiency and the real-time performance of the program on a computer platform are not high. The advantage of non-signal level simulation is that based on communication principle and signal parameter, the corresponding mathematical model is established and induced to operate directly to obtain simulation result, and the complexity and operation efficiency of the simulation system are improved obviously. The disadvantage is that the accuracy of the simulation result has a direct relation with the selection of the signal parameters and the construction of the mathematical model.
Disclosure of Invention
The technical problem solved by the invention is as follows: the system and the method overcome the defects of the prior art, provide a non-signal level satellite anti-interference simulation system and method capable of accessing an interference source, acquire actual interference parameters by acquiring interference signals and detecting based on multi-dimensional characteristics, and then construct a model to enable a simulation result to be more fit with an actual scene. Meanwhile, the invention supports the performance simulation evaluation of two anti-interference modes of frequency hopping and adaptive zeroing.
The technical scheme of the invention is as follows: a non-signal level satellite anti-interference simulation system supporting interference source access realizes anti-interference simulation full-flow work content of simulation evaluation from interference acquisition and detection, and comprises an interference acquisition unit, an interference detection unit and a simulation evaluation unit;
the interference acquisition unit finishes the acquisition work of interference signals, including frequency conversion, sampling and storage of the signals;
the interference detection unit reads in the interference signal stored by the interference acquisition unit and obtains continuous and complete interference parameters through multi-dimensional feature detection, and the method comprises the following steps: interference power, interference frequency, interference bandwidth;
the simulation evaluation unit supports various simulation modes, error rate calculation or data linked list establishment and query in different modes are achieved by using the interference parameters acquired by the interference detection unit, and evaluation of the anti-interference capability is completed.
The multi-dimensional domain feature detection comprises time domain feature detection and frequency domain feature detection.
The time domain characteristic detection specifically obtains interference power by counting sampling values; the frequency domain feature detection specifically obtains the interference frequency and the bandwidth through FFT analysis.
In the simulation evaluation unit, under the scene of not starting an anti-interference method, an equivalent signal-to-noise ratio calculation model is established based on interference parameters and basic signal parameters set by simulation, and a final error rate result is calculated according to different modulation modes to finish evaluation.
The equivalent signal-to-noise ratio calculation model established under the scene without starting the anti-interference method specifically comprises the following steps:
wherein f issRepresenting the basic signal by the frequency of the non-addition speech signal, BsRepresenting basic signals by using a non-additive bandwidth, PsThe power of the basic signal without the addition of the definite language is represented; n is a radical of0Representing the noise power spectral density, and ξ representing the coverage of the interference bandwidth, i.e. the overlap ratio of the interference bandwidth to the useful signal bandwidth.
The method for determining the coverage rate xi of the interference bandwidth comprises the following steps:
ξ=0
ξ=1
Wherein, BjRepresenting the interference bandwidth, fjRepresenting the interfering frequency.
In the simulation evaluation unit, under the scene of a frequency hopping system, an error rate change model is directly established, and the influence of interference on the frequency hopping system is evaluated, namely the larger the ratio of the interference bandwidth to the signal bandwidth is, the higher the error rate is.
The error rate variation model under the scene of the frequency hopping system is as follows:
wherein BER represents the bit error rate after adding interference, PeFor error rate without interference, BsRepresenting the system bandwidth; b isjRepresenting the interference bandwidth.
Under the self-adaptive zeroing mode of the simulation evaluation unit, three parameters of an initial signal-to-noise ratio, an interference arrival direction and a spot beam direction included angle are externally established through offline signal level simulation, a data relation linked list between the three parameters and an equivalent signal-to-noise ratio after interference resistance is loaded into the simulation evaluation unit for query, a corresponding value is obtained through query matching according to interference parameters and signal basic parameters, an error rate result is obtained according to a standard error rate calculation formula, and evaluation is completed.
The three-dimensional data linked list established in the adaptive zeroing mode is in a key-value form, the key comprises an x-dimension interference-signal ratio, a y-dimension interference direction and spot beam direction included angle and a z-dimension signal-to-noise ratio, and the value is an equivalent signal-to-noise ratio.
Compared with the prior art, the invention has the advantages that:
1. the current satellite simulation system generally comprises signal-level simulation and non-signal-level simulation, the signal-level simulation has the advantages of being close to the actual communication processing process, but the difficulty and the workload of programming are high, the operation efficiency and the real-time performance are not high, the complexity and the operation efficiency of the non-signal-level simulation are obviously improved, and the accuracy of the simulation result is not high. The method makes up the defects of the traditional non-signal-level simulation, supports the access of interference source signals, obtains actual interference parameters based on multi-dimensional characteristic detection, and then constructs a model, so that the simulation is closer to the actual interference scene to the maximum extent while the non-signal-level simulation operation efficiency is ensured.
2. Most of the current satellite anti-interference simulation aims at a single anti-interference means, and the method can support various simulation modes such as a frequency hopping system, adaptive zeroing and the like for different satellite anti-interference scenes, and is wider in application range.
3. The invention supports the loading of the data linked list from the outside through the standardization of the data linked list interface, and can expand and support the performance simulation evaluation of various self-adaptive zeroing algorithms.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic diagram of a three-dimensional data link table.
Detailed Description
The technical solution of the present invention is further explained with reference to the drawings and the embodiments.
As shown in fig. 1, a non-signal level satellite anti-interference simulation system supporting interference source access comprises: the system comprises an interference acquisition unit, an interference detection unit and a simulation evaluation unit.
The interference acquisition unit mainly completes acquisition work of interference signals, including frequency conversion, sampling and storage of the signals.
The interference detection unit reads in signals stored by the interference acquisition unit and acquires continuous interference parameters through multi-dimensional feature detection, and the interference detection unit comprises: interference power, interference frequency, interference bandwidth, etc.; the multi-dimensional domain feature detection comprises time domain feature detection and frequency domain feature detection. The time domain characteristics are mainly based on statistical sampling values to obtain interference power Pj(unit: dBm), the frequency domain characteristics are mainly analyzed by FFT to obtain the interference frequency fj(unit: Hz) and interference bandwidth Bj(unit: Hz).
The simulation evaluation unit mainly completes the interference simulation evaluation process in different modes:
mode 1: no anti-interference scenario is enabled. The simulation evaluation unit establishes an equivalent signal-to-noise ratio calculation model based on the interference parameters and the basic signal parameters set by simulation, and then calculates according to different modulation modes and a standard formula to obtain a final error rate result so as to finish evaluation. Wherein the basic signal parameter comprises a signal frequency fs(unit: Hz), bandwidth Bs(unit: Hz), power Ps(unit: dBm), and the like. The equivalent signal-to-noise ratio is calculated as follows:
wherein N is0Representing the noise power spectral density (unit: dBm/Hz) and ξ the coverage of the interference bandwidth, i.e. the ratio of the interference bandwidth to the useful signal bandwidth overlap.
ξ=0
ξ=1
Wherein, BjRepresenting the interference bandwidth, fjRepresenting the interfering frequency.
After the SNR is obtained, the bit error rate can be calculated according to the modulation scheme. Without enabling interference rejection, the main purpose of the simulation is to evaluate the tolerance of the system itself to interference of different intensities.
Mode 2: a frequency hopping regime scenario. The satellite resists interference through frequency hopping in a signal bandwidth, and the error rate result is greatly influenced by the interference bandwidth. Because the frequency hopping rate is usually high, and the significance of calculating the equivalent signal-to-noise ratio is not large, a bit error rate change model can be directly established, and the influence of interference on a frequency hopping system is evaluated. When the ratio of the interference bandwidth to the signal bandwidth is larger, the error rate is higher, and when the interference bandwidth is far smaller than the signal bandwidth, the influence on the frequency hopping system is very weak. The bit error rate variation model is as follows:
wherein, PeFor error rate without interference, BsRepresenting the system bandwidth; b isjRepresenting the interference bandwidth.
Mode 3: and (4) self-adaptive zeroing mode. Nulling is based primarily on array antennas filtering out interference from the spatial domain. The invention establishes a three-dimensional data linked list between three parameters of an initial signal-to-noise ratio, an interference-to-signal ratio, an interference arrival direction and a spot beam direction included angle and an equivalent signal-to-noise ratio after interference resistance through offline signal level simulation, loads the three-dimensional data linked list into a simulation evaluation unit for query, and then obtains a corresponding equivalent signal-to-noise ratio result. Wherein, the data linked list is in a key-value form, as shown in fig. 2. The key comprises an interference-to-signal ratio of an x dimension, an included angle between an interference direction of a y dimension and a spot beam direction, and a signal-to-noise ratio of a z dimension; value is the equivalent signal-to-noise ratio. According to the interference parameters and the signal basic parameters, the corresponding value can be obtained through inquiring and matching, and then the error rate result is obtained according to a standard error rate calculation formula, so that the evaluation is completed.
Although the present invention has been described with reference to the preferred embodiments, it is not intended to limit the present invention, and those skilled in the art can make modifications and variations of the present invention without departing from the spirit and scope of the present invention.
Claims (10)
1. A non-signal level satellite anti-interference simulation system supporting interference source access is characterized in that: the system comprises an interference acquisition unit, an interference detection unit and a simulation evaluation unit;
the interference acquisition unit finishes the acquisition work of interference signals, including frequency conversion, sampling and storage of the signals;
the interference detection unit reads in the interference signal stored by the interference acquisition unit and obtains continuous and complete interference parameters through multi-dimensional feature detection, and the method comprises the following steps: interference power, interference frequency, interference bandwidth;
the simulation evaluation unit supports multiple simulation modes, error rate calculation or data linked list establishment and query in different modes are achieved by using the interference parameters obtained by the interference detection unit, and evaluation of the anti-interference capability is completed.
2. The system of claim 1, wherein the simulation system supports interference source access and is characterized in that: the multi-dimensional domain feature detection comprises time domain feature detection and frequency domain feature detection.
3. The non-signal-level satellite anti-interference simulation system supporting access to an interference source according to claim 2, wherein: the time domain characteristic detection specifically obtains interference power by counting sampling values; the frequency domain feature detection specifically obtains the interference frequency and the bandwidth through FFT analysis.
4. The non-signal-level satellite anti-interference simulation system supporting interference source access according to claim 1, wherein: in the simulation evaluation unit, under the scene of not starting an anti-interference method, an equivalent signal-to-noise ratio calculation model is established based on interference parameters and basic signal parameters set by simulation, and a final error rate result is calculated according to different modulation modes to finish evaluation.
5. The non-signal-level satellite anti-interference simulation system supporting interference source access according to claim 4, wherein: the equivalent signal-to-noise ratio calculation model established under the scene without starting the anti-interference method specifically comprises the following steps:
wherein f issRepresenting the basic signal by the frequency of the non-addition speech signal, BsRepresenting elementary signals by using a fixed-length bandwidth, PsIndicating the basic signal power without addition; n is a radical of0Representing the noise power spectral density, and ξ representing the coverage of the interference bandwidth, i.e. the overlap ratio of the interference bandwidth to the useful signal bandwidth.
6. The non-signal-level satellite anti-interference simulation system supporting access to an interference source according to claim 5, wherein: the method for determining the coverage rate xi of the interference bandwidth comprises the following steps:
when the temperature is higher than the set temperatureWhen the temperature of the water is higher than the set temperature,
ξ=0
ξ=1
Wherein, BjRepresenting the interference bandwidth, fjRepresenting the interfering frequency.
7. The non-signal-level satellite anti-interference simulation system supporting interference source access according to claim 1, wherein: in the simulation evaluation unit, under the scene of a frequency hopping system, an error rate change model is directly established, and the influence of interference on the frequency hopping system is evaluated, namely the larger the ratio of the interference bandwidth to the signal bandwidth is, the higher the error rate is.
8. The non-signal-level satellite anti-interference emulation system supporting access to an interferer according to claim 7, wherein: the error rate variation model under the frequency hopping system scene is as follows:
wherein BER represents the bit error rate after adding interference, PeFor error rate without interference, BsRepresents the system bandwidth; b isjRepresenting the interference bandwidth.
9. The non-signal-level satellite anti-interference simulation system supporting interference source access according to claim 1, wherein: in the simulation evaluation unit, under an adaptive zeroing mode, three parameters of an initial signal-to-noise ratio, an interference-to-signal ratio, an interference arrival direction and a spot beam direction included angle are externally established through offline signal level simulation, a data relation linked list between the three parameters and an equivalent signal-to-noise ratio after interference resistance is loaded into the simulation evaluation unit for query, a corresponding value is obtained through query matching according to interference parameters and signal basic parameters, a bit error rate result is obtained according to a standard bit error rate calculation formula, and evaluation is completed.
10. The non-signal level satellite anti-interference emulation system supporting access to an interferer of claim 9, wherein: the three-dimensional data linked list established in the adaptive zeroing mode is in a key-value form, the key comprises an x-dimension interference-signal ratio, a y-dimension interference direction and spot beam direction included angle and a z-dimension signal-to-noise ratio, and the value is an equivalent signal-to-noise ratio.
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