CN105430682B - Mobile communication signal interference prevention appraisal procedure and system - Google Patents
Mobile communication signal interference prevention appraisal procedure and system Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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Abstract
The present invention discloses a kind of mobile communication signal interference prevention appraisal procedure and system measures actual value using professional measuring instrument after rationally layouting under given scenario.Signal strength is predicted respectively using Finite Difference Time Domain and non parametric regression algorithm, then analysis correction is carried out to result by the parameter in Optimization Prediction algorithm, jamming-to-signal ratio is calculated, compare the interference prevention evaluation index system obtained by actual interference effect, comprehensive prediction and assessment are carried out, therefore, it is determined that mobile communication signal interference prevention effect.
Description
Technical field
The present invention relates to mobile communication interference assessment technologies, and in particular to a kind of mobile communication signal interference prevention assessment side
Method and system.
Background technique
Mobile communication interference unit is to guarantee government, financial institution, prison, hospital, examination hall, gas station, momentous conference
Etc. the order and security for being forbidden to use mobile phone place, thus a kind of mancarried device shielded to mobile device.Shielding is former
Reason is to carry out signal network effectively to block, and is allowed to that link connection can not be obtained with the most strong or nearest base station of signal, destroys
The contact of mobile phone and base station, so that mobile phone, which is detached from, cannot play its function in base station.Interference effect is to measure a disturber
The important performance indexes of formula or perturbation technique.Due to the otherness and complexity of communication environment and the difference of recipient, even if
It is that receiving device can also have different receptions to same signal during the collection of letters.Therefore, the assessment pair of interference prevention
The process for implementing interference is of great significance.
Summary of the invention
Technical problem to be solved by the invention is to provide a kind of mobile communication signal interference prevention appraisal procedure and system,
It can assess the interference effect of Mobile communication interference unit.
To solve the above problems, the invention is realized by the following technical scheme:
A kind of mobile communication signal interference prevention appraisal procedure, includes the following steps:
Step 1, measurement point is set in actual scene, and it is each before and after opening to measure interference unit under preset frequency f respectively
Signal strength at actual spot of measurement, the preceding measured signal strength type measured before wherein interference unit is opened are peak power
PActual measurement _ before, the rear measured signal strength type that interference unit measures after opening is minimum value power PActual measurement _ after；
Step 2, to preceding measured signal intensity PActual measurement _ beforeWith rear measured signal intensity PActual measurement _ afterNonparametric is respectively adopted to return
Method is returned to be predicted, non parametric regression signal strength P before calculatingNon- ginseng recurrence _ beforeWith rear non parametric regression signal strength
PNon- ginseng recurrence _ after；
Step 3, to actual scene carry out Geometric Modeling, and using Finite-Difference Time-Domain Method to each analogue measurement point at
Signal strength is predicted, the rear Fdtd Method prediction signal intensity P after interference unit is opened is calculatedFDTD_after；
Step 4, by rear non parametric regression signal strength PNon- ginseng recurrence _ afterWith rear Fdtd Method prediction signal intensity
PFDTD_afterIt is weighted processing, obtains post-equalization signal strength Pm_after；
Step 5, by post-equalization signal strength Pm_afterAs interference signal intensity, preceding non parametric regression signal strength
PNon- ginseng recurrence _ beforeAs original signal intensity, jamming-to-signal ratio JSR is calculated；
Step 6, gained jamming-to-signal ratio JSR will be calculated and scheduled interference prevention jamming-to-signal ratio grading standard compares point
Analysis carries out qualitative evaluation to interference effect.
In above-mentioned steps 1, preset frequency f is in the band downlink of selected test standard.
In above scheme, selected test standard be CDMA, GSM, DCS, TD-SCDMA, TD-SCDMA, CDMA2000,
WCDMA or WIFI.
In above-mentioned steps 3, when carrying out Geometric Modeling to actual scene, need imitative to Fdtd Method in actual scene
True parameter measures.
In above-mentioned steps 4, post-equalization signal strength Pm_afterAre as follows:
Pm_after=aPFDTD_after+(1-a)·PNon- ginseng recurrence _ after
Wherein, Pm_afterFor post-equalization signal strength, a is the weighting coefficient of setting, PNon- ginseng recurrence _ afterFor rear non parametric regression
Signal strength, PFDTD_afterFor rear Fdtd Method prediction signal intensity.
In above-mentioned steps 5, jamming-to-signal ratio JSR are as follows:
Wherein, Pm_afterFor post-equalization signal strength, PNon- ginseng recurrence _ beforeFor preceding non parametric regression signal strength.
The mobile communication signal interference prevention assessment system designed based on the method, including actual measurement module,
FDTD prediction module, non parametric regression prediction module, database module, model correction module and analysis and result display module；
Wherein
Measurement point is arranged in actual measurement module in actual scene, and is measured under preset frequency f respectively before interference unit unlatching
Signal strength at each actual spot of measurement afterwards, the preceding measured signal strength type measured before wherein interference unit is opened are peak work
Rate PActual measurement _ before, the rear measured signal strength type that interference unit measures after opening is minimum value power PActual measurement _ after；
Non parametric regression prediction module, to preceding measured signal intensity PActual measurement _ beforeWith rear measured signal intensity PActual measurement _ afterPoint
Not Cai Yong Nonparametric Regression Method predicted, non parametric regression signal strength P before calculatingNon- ginseng recurrence _ beforeWith rear non parametric regression
Signal strength PNon- ginseng recurrence _ after；
FDTD prediction module is carried out Geometric Modeling to actual scene, and is surveyed using Finite-Difference Time-Domain Method to each simulation
Signal strength at amount point is predicted, the rear Fdtd Method prediction signal intensity after interference unit is opened is calculated
PFDTD_after；
Database module, for storing the measured data of actual measurement module, the prediction number of non parametric regression prediction module
According to the prediction data with FDTD prediction module；
Model correction module, by rear non parametric regression signal strength PNon- ginseng recurrence _ afterWith rear Fdtd Method prediction signal
Intensity PFDTD_afterIt is weighted processing, obtains post-equalization signal strength Pm_after；
Analysis and result display module, by post-equalization signal strength Pm_afterAs interference signal intensity, preceding nonparametric is returned
Return signal strength PNon- ginseng recurrence _ beforeAs original signal intensity, jamming-to-signal ratio JSR is calculated；Will calculate gained jamming-to-signal ratio JSR with it is scheduled
Interference prevention jamming-to-signal ratio grading standard compares and analyzes, and carries out qualitative evaluation to interference effect.
Compared with prior art, the present invention provides a kind of full frequency band mobile communication signal interference prevention appraisal procedure, application
It is assessed in multiple types mobile communication signal interference prevention.Under given scenario, professional measuring instrument pair is utilized after rationally layouting
Actual value measures.Using Finite Difference Time Domain (abbreviation FDTD) and non parametric regression algorithm respectively to signal strength into
Then row prediction carries out analysis correction to result by the parameter in Optimization Prediction algorithm, jamming-to-signal ratio is calculated, compares by reality
The interference prevention evaluation index system that border interference effect obtains, carries out comprehensive prediction and assessment, therefore, it is determined that mobile communication is believed
Number interference prevention effect.
Detailed description of the invention
Fig. 1 is the flow chart that a kind of indoor mobile communication signal interference protects appraisal procedure.
Fig. 2 is that a kind of indoor mobile communication signal interference protects assessment system functional block diagram.
Specific embodiment
With reference to the accompanying drawing, specific embodiment is as follows:
A kind of mobile communication signal interference prevention appraisal procedure, as shown in Figure 1, including the following steps:
Step 1, measurement point is set in actual scene, and it is each before and after opening to measure interference unit under preset frequency f respectively
Signal strength at actual spot of measurement, the preceding measured signal strength type measured before wherein interference unit is opened are peak power
PActual measurement _ before, the rear measured signal strength type that interference unit measures after opening is minimum value power PActual measurement _ after。
Mainly include following two part for actual scene, that is, target scene DATA REASONING:
(1) measurement of signal strength.
Measurement point selected first.During actual measurement, the selection of measurement point is unlikely to be infinite multiple, so wanting
Select representative measurement point.When target area is smaller, or when indoor object distribution uniform, can be directly used it is several where
Method layouts according to certain regular uniform and carries out equidistant layout.When target area is larger, or indoor object distribution is more complex
When, the selection of measurement point must consider that the factors such as room unit, instrument parameter, the required accuracy layout by seat.Measurement height
Usually 1.3 meters or 1.7 meters.
Then test standard is selected.Due to directly contributing mobile base station system signal-to-noise ratio to the interference of mobile communication uplink band
Deteriorate, communication quality decline, so the present invention is tested using the interference unit only interfered mobile communication signal band downlink.
The band downlink that different systems are blocked specifically: CDMA (870MHz~880MHz), GSM (935MHz~960MHz), DCS
(1805MHz~1850MHz), TD-SCDMA (PHS) (1880MHz~1920MHz), TD-SCDMA (2010MHz~
2025MHz), CDMA2000 (WCDMA) (2110MHz~2145MHz), WIFI (2400MHz, 2483.5MHz) etc..
Then in the band downlink of selected standard, specific frequency is determined.According to effective interference radius of interference unit, rationally
Select interference unit quantity and placement location.By the way of hand-held radio frequency analyzer and the combination of portable wideband omnidirectional antenna,
It is selected a bit in opposite opening, measurement obtains the frequency f where signal strength peak value.
Finally carry out signal strength measurement.The side combined using hand-held radio frequency analyzer and portable wideband omnidirectional antenna
Formula measures the signal strength indication that interference unit under frequency f opens each measurement point in front and back respectively.Measurement Value Types are before interference unit is opened
Peak power is denoted as PActual measurement _ before；Measurement Value Types are minimum value power after interference unit is opened, and are denoted as PActual measurement _ after。
It is right to surveying by the way of hand-held radio frequency analyzer and the combination of portable wideband omnidirectional antenna for signal strength
The measurement of interference unit maximum transmission power uses real time spectral analysis system.The present invention is using special instrument to the number of actual environment
According to measuring.Wherein, frequency spectrograph is N9912A Agilent hand-held radio frequency analyzer.Compared to mobile phone test, special instrument
It is more accurate to test obtained data, more accurate theoretical foundation can be provided after calculating for shield ranges etc..Measurement
In the process, have following points for attention: measurement should select to carry out in fine day, avoid measuring in wet condition；It is required that measurement height
It is fixed；Measurement observing time should be greater than being equal to 10 seconds；The measurement of signal strength is minimized function after Mobile communication interference unit is opened
Extreme case of the rate as disturbance suppression.
(2) measurement of Fdtd Method emulation relevant parameter.In order to carry out Geometric Modeling to actual scene, need in reality
Fdtd Method simulation parameter is measured in the scene of border, wherein Fdtd Method emulation relevant parameter includes target field
The position of primary objects (including interference unit), shape, geometric dimension in scape.The material of primary objects is obtained by literature survey method
And its permittivity ε, conductivityσ and magnetic permeability μ.
Step 2, to preceding measured signal intensity PActual measurement _ beforeWith rear measured signal intensity PActual measurement _ afterNonparametric is respectively adopted to return
Method is returned to be predicted, non parametric regression signal strength P before calculatingNon- ginseng recurrence _ beforeWith rear non parametric regression signal strength
PNon- ginseng recurrence _ after。
Regression analysis is to determine a kind of statistical with quantitative relationship between two or more complementary variable
Analysis method, it is based on observation data and establishes dependence appropriate between variable, to analyze data inherent law, and can be used for pre-
The problems such as surveying, controlling is using one of extremely extensive data analysing method.
If (X1,Y1),(X2,Y2),…,(Xn,Yn) it is that independent identically distributed two-dimensional random becomes in known given sample space
Amount, Z is in given x=Xi, y=YiConditional expectation m (Xi,Yi) estimated with following formula:
Wherein, hnFor window width, kernel function K is a bounded symmetric density function appropriate in R × R.Window-shaped of the present invention
Shape has round and rectangular, and window width value is 3, can adjust window shape and window width size according to the actual situation.The choosing of kernel function
It takes there are many forms, optional kernel function and its expression formula are as follows in the present invention:
(1) Uniform:
(2) Epanechnikov:
(3) Gaussian:
(4) Tricube:
K (x, y)=and (1- | x |) (1- | y |) I (x, y)
Wherein, I (x, y) is indicative function, and function expression is as follows:
(1) when window type is square region:
(2) when window type is border circular areas:
Different kernel function K, window shape and window width h are selected as neededn, m (X is calculatedi,Yi), i.e. point (Xi,
Yi) at signal strength indication.
Step 3, to actual scene carry out Geometric Modeling, and using Finite-Difference Time-Domain Method to each analogue measurement point at
Signal strength is predicted, the rear Fdtd Method prediction signal intensity P after interference unit is opened is calculatedFDTD_after。
Finite Difference Time Domain be first directly replaced with finite difference fraction it is micro- in the vorticity equation of Maxwell's time domain field
Fraction obtains the finite difference fraction about field component, chooses the initial value and boundary condition of field appropriate, then passes through computer
Program calculation finally obtains a kind of numerical computation method of the numerical solution of the Maxwell equation including time variable.
Signal strength is predicted using Finite Difference Time Domain, including Geometric Modeling, cellular divide, parameter setting
With four parts of iterative calculation.
(1) Geometric Modeling.
The position of primary objects in target scene, shape as obtained by the measurement of Fdtd Method emulation relevant parameter,
Geometric dimension on computers restores actual scene, obtains simulated scenario.
(2) cellular divides.
Cellular division is carried out to simulated scenario, the step-length in x, y, z direction is set, is denoted as Δ x, Δ y and Δ z respectively.
(3) parameter setting.
Sine wave source, frequency f are set；To material each in simulated scenario and its permittivity ε, conductivityσ and magnetic
Conductance μ is configured；Setting absorbing boundary is PML；The height of output plane is set, must be consistent with actual measurement height；Setting
Time step Δ t and time step number n, wherein Δ t should meet following formula:
(4) it iterates to calculate.
The iterative process of E component and H component is as follows on each cellular in space:
The field intensity value E of set plane after interference unit is opened is calculated accordinglyFDTD_after。
In order to carry out processing analysis to data, unified dimension is needed, the field intensity value as unit of V/m is converted to dBm
For the signal strength indication of unit:
First by field intensity value EFDTD_after(V/m) power density S is converted toFDTD_after(W/m2):
Then by power density SFDTD_after(W/m2) be converted to signal strength PFDTD_after(dBm):
In formula, c is the light velocity, and f is signal frequency.
Step 4, by rear non parametric regression signal strength PNon- ginseng recurrence _ afterWith rear Fdtd Method prediction signal intensity
PFDTD_afterIt is weighted processing, obtains post-equalization signal strength Pm_after。
According to compatible principle of electromagnetism, the present invention claims errors in ± 4dB.In order to reduce error, the two is weighted
Processing:
Pm_after=aPFDTD_after+(1-a)·PNon- ginseng recurrence _ after
In formula, Pm_afterFor post-equalization signal strength, a is the weighting coefficient of setting, PNon- ginseng recurrence _ afterFor rear non parametric regression
Signal strength, PFDTD_afterFor rear Fdtd Method prediction signal intensity.By optimization processing, the value of a is set as in the present invention
0.5。
Step 5, by post-equalization signal strength Pm_afterAs interference signal intensity N, preceding non parametric regression signal strength
PNon- ginseng recurrence _ beforeAs original signal intensity S, jamming-to-signal ratio JSR is calculated.The present invention using jamming-to-signal ratio (Jam to Signal Ratio,
Abbreviation JSR) measure the interference effect of interference unit:
In formula, Pm_afterFor post-equalization signal strength, PNon- ginseng recurrence _ beforeFor preceding non parametric regression signal strength.
Step 6, gained jamming-to-signal ratio JSR will be calculated and scheduled interference prevention jamming-to-signal ratio grading standard compares point
Analysis carries out qualitative evaluation to interference effect and exports result.
By comprehensively considering to measured data and existing interference signal grade scale, interference prevention of the present invention
Jamming-to-signal ratio grading standard is as shown in table 1:
1 interference prevention jamming-to-signal ratio grading standard of table
Interference prevention jamming-to-signal ratio grading standard based on table 1, when the value of jamming-to-signal ratio JSR is between " -67 " to " -42 "
It indicates " can work normally "；When jamming-to-signal ratio JSR value " -42 " to indicated between " -4 " " be difficult to dial in dial-out, dropped calls,
Voice quality degradation "；" being detached from service area " is then indicated when the value of jamming-to-signal ratio JSR is greater than " -4 ".
Based on mobile communication signal interference prevention assessment system designed by the above method, as shown in Fig. 2, including practical survey
It measures module, FDTD prediction module, non parametric regression prediction module, database module, model correction module and analysis and result is aobvious
Show module.
Actual measurement module, on the one hand, rationally layout and select measurement height, select mobile communication standard and measurement frequency
Rate is measured interfered under preset frequency f respectively by the way of hand-held radio frequency analyzer and the combination of portable wideband omnidirectional antenna
Device opens the signal strength at each actual spot of measurement in front and back, the preceding measured signal strength type measured before wherein interference unit is opened
For peak power PActual measurement _ before, the rear measured signal strength type that interference unit measures after opening is minimum value power PActual measurement _ after；Separately
On the one hand, position, the shape, geometric dimension, material of primary objects (including interference unit) are obtained by actual test and literature survey
Matter and its permittivity ε, conductivityσ and magnetic permeability μ.
Non parametric regression prediction module, to preceding measured signal intensity PActual measurement _ beforeWith rear measured signal intensity PActual measurement _ afterPoint
Not Cai Yong Nonparametric Regression Method predicted, pass through different kernel function K, window shape and the window width h of selectionn, before calculating
Non parametric regression signal strength PNon- ginseng recurrence _ beforeWith rear non parametric regression signal strength PNon- ginseng recurrence _ after。
FDTD prediction module, after being opened for interference unit, using Finite-Difference Time-Domain Method to each analogue measurement point
The signal strength at place is predicted, Geometric Modeling and setting x, y, z direction step-length (Δ x, Δ y and Δ z), dielectric constant are passed through
The parameters such as ε, conductivityσ, magnetic permeability μ, time step Δ t and time step number n, iterative calculation operation obtain EFDTD_after, then
Unified dimension, by the field intensity value E as unit of V/mFDTD_afterBe converted to the signal strength indication P as unit of dBmFDTD_after, meter
Calculate the rear Fdtd Method prediction signal intensity P after interference unit is openedFDTD_after。
Database module, for storing the measured data P of actual measurement moduleActual measurement _ beforeAnd PActual measurement _ after, non parametric regression
The prediction data P of prediction moduleNon- ginseng recurrence _ beforeAnd PNon- ginseng recurrence _ afterAnd the prediction data P of FDTD prediction moduleFDTD_after。
Model correction module, by rear non parametric regression signal strength PNon- ginseng recurrence _ afterWith rear Fdtd Method prediction signal
Intensity PFDTD_afterIt is weighted processing, obtains post-equalization signal strength Pm_after。
Analysis and result display module, for extracting the data in database module, i.e., by correction signal intensity Pm_after
As interference signal intensity, preceding non parametric regression signal strength PNon- ginseng recurrence _ beforeAs original signal intensity, jamming-to-signal ratio JSR is calculated；
Gained jamming-to-signal ratio JSR will be calculated to compare and analyze with scheduled interference prevention jamming-to-signal ratio grading standard, to interference effect
Carry out qualitative evaluation.
The present invention is directed to complex scene, is measured using special instrument to actual signal intensity, using FDTD algorithm and
Non parametric regression algorithm respectively predicts signal strength, analyzes simultaneously correction data, refers in conjunction with the interference prevention assessment of formulation
Mark system, therefore, it is determined that mobile communication signal interference prevention effect.The measurement of data includes surveying and predicting two parts.First
To under complex environment signal strength and the relevant parameters such as geometric dimension carry out field survey.Signal strength for return calculate and
It is compared and analyzed with theoretical expectation values, the parameters such as geometric dimension are set for the relevant parameters such as Geometric Modeling in theoretical calculation
It sets.On the basis of surveying measurement, on the one hand, predicted using FDTD algorithm the signal strength under complex scene；It is another
Aspect predicts signal strength using regression technique and correlation analysis scheduling algorithm.By the comparison of measured value and predicted value
Signal strength indication after analysis and error correction are corrected is formulated interference prevention and is commented in conjunction with the actual interference effect that it is generated
Estimate index.Then the parameter being arranged in prediction algorithm corrects interpretation of result, and jamming-to-signal ratio is calculated, by comparing interference prevention
Evaluation index system carries out comprehensive prediction and assessment, therefore, it is determined that mobile communication signal interference prevention effect.
Claims (7)
1. mobile communication signal interference prevention appraisal procedure, characterized in that include the following steps:
Step 1, measurement point is set in actual scene, and measures interference unit under preset frequency f respectively and opens each reality in front and back
The signal strength of measurement point, the preceding measured signal strength type measured before wherein interference unit is opened are peak power
PActual measurement _ before, the rear measured signal strength type that interference unit measures after opening is minimum value power PActual measurement _ after；
Step 2, to preceding measured signal intensity PActual measurement _ beforeWith rear measured signal intensity PActual measurement _ afterNonparametric Regression Method is respectively adopted
It is predicted, non parametric regression signal strength P before calculatingNon- ginseng recurrence _ beforeWith rear non parametric regression signal strength PNon- ginseng recurrence _ after；
Step 3, Geometric Modeling is carried out to actual scene, and using Finite-Difference Time-Domain Method to the signal at each analogue measurement point
Intensity is predicted, the rear Fdtd Method prediction signal intensity P after interference unit is opened is calculatedFDTD_after；
Step 4, by rear non parametric regression signal strength PNon- ginseng recurrence _ afterWith rear Fdtd Method prediction signal intensity PFDTD_after
It is weighted processing, obtains post-equalization signal strength Pm_after；
Step 5, by post-equalization signal strength Pm_afterAs interference signal intensity, preceding non parametric regression signal strength
PNon- ginseng recurrence _ beforeAs original signal intensity, jamming-to-signal ratio JSR is calculated；
Step 6, gained jamming-to-signal ratio JSR will be calculated to compare and analyze with scheduled interference prevention jamming-to-signal ratio grading standard,
Qualitative evaluation is carried out to interference effect.
2. mobile communication signal interference prevention appraisal procedure according to claim 1, characterized in that in step 1, make a reservation for frequency
Rate f is in the band downlink of selected test standard.
3. mobile communication signal interference prevention appraisal procedure according to claim 2, characterized in that selected test system
Formula is CDMA, GSM, DCS, TD-SCDMA, CDMA2000, WCDMA or WIFI.
4. mobile communication signal interference prevention appraisal procedure according to claim 1, characterized in that in step 3, to reality
When scene carries out Geometric Modeling, need to measure Fdtd Method simulation parameter in actual scene.
5. mobile communication signal interference prevention appraisal procedure according to claim 1, characterized in that in step 4, post-equalization
Signal strength Pm_afterAre as follows:
Pm_after=aPFDTD_after+(1-a)·PNon- ginseng recurrence _ after
Wherein, Pm_afterFor post-equalization signal strength, a is the weighting coefficient of setting, PNon- ginseng recurrence _ afterFor rear non parametric regression signal
Intensity, PFDTD_afterFor rear Fdtd Method prediction signal intensity.
6. mobile communication signal interference prevention appraisal procedure according to claim 1, characterized in that in step 5, jamming-to-signal ratio
JSR are as follows:
Wherein, Pm_afterFor post-equalization signal strength, PNon- ginseng recurrence _ beforeFor preceding non parametric regression signal strength.
7. the mobile communication signal interference prevention assessment system designed based on claim 1 the method, characterized in that including
Actual measurement module, FDTD prediction module, non parametric regression prediction module, database module, model correction module and analysis and
Result display module；Wherein
Measurement point is arranged in actual measurement module in actual scene, and measures interference unit under preset frequency f respectively and open front and back respectively
Signal strength at a actual spot of measurement, the preceding measured signal strength type measured before wherein interference unit is opened are peak power
PActual measurement _ before, the rear measured signal strength type that interference unit measures after opening is minimum value power PActual measurement _ after；
Non parametric regression prediction module, to preceding measured signal intensity PActual measurement _ beforeWith rear measured signal intensity PActual measurement _ afterIt is respectively adopted
Nonparametric Regression Method is predicted, preceding non parametric regression signal strength P is calculatedNon- ginseng recurrence _ beforeIt is strong with rear non parametric regression signal
Spend PNon- ginseng recurrence _ after；
FDTD prediction module carries out Geometric Modeling to actual scene, and using Finite-Difference Time-Domain Method to each analogue measurement point
The signal strength at place is predicted, the rear Fdtd Method prediction signal intensity P after interference unit is opened is calculatedFDTD_after；
Database module, for store the measured data of actual measurement module, the prediction data of non parametric regression prediction module and
The prediction data of FDTD prediction module；
Model correction module, by rear non parametric regression signal strength PNon- ginseng recurrence _ afterWith rear Fdtd Method prediction signal intensity
PFDTD_afterIt is weighted processing, obtains post-equalization signal strength Pm_after；
Analysis and result display module, by post-equalization signal strength Pm_afterAs interference signal intensity, preceding non parametric regression signal
Intensity PNon- ginseng recurrence _ beforeAs original signal intensity, jamming-to-signal ratio JSR is calculated；Gained jamming-to-signal ratio JSR will be calculated and scheduled interference is anti-
Shield jamming-to-signal ratio grading standard compares and analyzes, and carries out qualitative evaluation to interference effect.
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| CN108460241B (en) * | 2018-05-28 | 2022-08-02 | 中国民用航空中南地区空中交通管理局 | Disturbance simulation method for instrument landing system |
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| CN2717055Y (en) * | 2004-05-10 | 2005-08-10 | 宣得股份有限公司 | Shield assembly of connector |
| CN101373985A (en) * | 2007-08-23 | 2009-02-25 | 大唐移动通信设备有限公司 | Method and apparatus for evaluating multi-user detection interference elimination performance |
| CN103444092A (en) * | 2010-11-16 | 2013-12-11 | 金雅拓M2M有限责任公司 | Method of detecting and jamming transmitter effecting a communication user equipment, user equipment and evaluation unit with interfaces to the user equipment |
| EP2595324A1 (en) * | 2011-11-18 | 2013-05-22 | Cinterion Wireless Modules GmbH | Method of detecting a jamming transmitter affecting a communication user equipment, device and user equipment and system with the user equipment |
| CN103248595A (en) * | 2013-05-08 | 2013-08-14 | 桂林电子科技大学 | Method and device for self-adaptive in-place interference offset |
| CN204086525U (en) * | 2014-09-25 | 2015-01-07 | 南京长峰航天电子科技有限公司 | 3G sampling general small-size target and interference simulator |
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