CN105991356B - Measurement result dynamic filtering method and system in a kind of LTE system - Google Patents
Measurement result dynamic filtering method and system in a kind of LTE system Download PDFInfo
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Abstract
The present invention relates to measurement result dynamic filtering method and systems in a kind of LTE system, which comprises step S101 is filtered measurement result according to following formula: F for the RSRP measurement result in LTE systemn=(1-a) × Fn‑1+a×Mn, wherein K ∈ [0,19], " < < " it is integer left shift operator；FnFor this filtered measurement result, Fn‑1For last time filtered measurement result, MnTo be currently measuring as a result, a is adjusting parameter, v is corrected parameter；Step S102, when measurement period is 200ms, v=1；Step S103 becomes larger v value according to becoming smaller for measurement period when measurement period is less than 200ms；Step S104 becomes smaller v value according to becoming larger for measurement period when measurement period is greater than 200ms.The present invention is by the parameter in dynamic adjustment filtering formula, so that through measurement after a period of time under different measurement periods, filter result is close as far as possible.
Description
Technical field
The present invention relates to the RRC (wireless heterogeneous networks, Radio Resource Control) in 3GPP LTE to measure skill
Art.
Background technique
According to the definition of 3GPP LTE protocol, the measurement result carried out under RRC connected state (RSRP/RSRQ) need by
The assessment of measurement report could be used for after L3 filtering.Wherein, RSRP (Reference Signal Received Power, Reference Signal
Receiving Power) be can be represented in LTE network wireless signal strength key parameter and physical layer measurement demand it
One, it is all RE (Resource of carrying reference signal (Reference Signal) in some symbol (Symbol)
Element, resource particle) on the average value of signal power that receives.RSRP is defined as: held in the measurement frequency bandwidth of consideration
Carry reference signal RE on reception power (by watt as unit of) linear average, unit dBm.(reference signal connects RSRQ
Receive quality, Reference Signal Receiving Quality) different LTE candidate cells are carried out according to signal quality
Sequence.The input that this measurement is used as switching and cell reselection determines.RSRQ be defined as N*RSRP/ (LTE carrier wave RSSI) it
Than wherein N is the resource block of LTE carrier wave RSSI (, Received Signal Strength Indicator) Measurement bandwidth
(RB, Resource Block) number.RSRQ realizes a kind of effect that effective mode reported signal strength is combined with interference
Fruit.
In simple terms, RSRP (Reference Signal Receiving Power) is that reference is carried in some symbol
The average value of the signal power received on all RE of signal.RSSI is then all signals received in this symbol
The average value of (including pilot signal and data-signal, adjacent area interference signal, noise signal etc.) power.And RSRQ be then RSRP and
The ratio of RSSI can be adjusted, that is, RSRQ certainly because the bandwidth that the two measurement is based on may be different with a coefficient
=N*RSRP/RSSI.
This filtration treatment is especially significant to the measurement report configuration based on event.According to the rule of 3GPP LTE protocol
It is fixed, the event mode of a certain measurement report is configured, the measurement of continuous a period of time is needed to be all satisfied some entry condition,
The measurement report of this event can be triggered, which may be triggering switching, or modification different-frequency measure etc..And work as
The measurement of continuous a period of time is all satisfied some and leaves condition, then needs to stop the measurement report of related cell.
In real network, due to environment complexity, measurement result usually has mutation, and this mutation may be such that in assessment
It is disconnected, such as configure and continuous 640ms is needed to be all satisfied certain condition, and the measurement result of preceding 500ms is all satisfied, and is surveyed suddenly after 500ms
Magnitude has a single decaying, this, which will lead to assessment process, cannot continuously be all satisfied for a period of time this condition and to assess
Timing is reset.But in fact, decaying this time may be an exception, needs conditionally to be neglected, otherwise have
May cause can not trigger switching or lead to handover failure since measurement report triggering is too late.
In order to filter this abnormal influence, 3GPP proposes a kind of method, this method in assessment of the measurement result, respectively from
It is calculated in measurement filter result and current measurement result before with a certain amount of proportion composite, filtering knot calculated in this way
Fruit just can be used for assessing.The amplitude meeting of this mutation if producing a mutation is measured in sequence when normal in this way
Become smaller.If mutation amplitude is not natively very greatly, to be just not to have an impact evaluation process.
Measurement result filter result calculation formula is as follows:
Formula (1)
Wherein:
FnFor this filtered measurement result；
Fn-1For last filtered measurement result；
MnFor the result currently measured；
A is adjusting parameter, and the value of a is related to k, and k is the L3 filtration parameter of network configuration (in ReportConfig
FilterCoefficent), the value range of k is determined by 3GPP agreement, and value range is 0~19.Due to k be 0 when, a 1,
FnAs Mn, that is to say, that without filtering.When k is 1, a=100%, previous measurement (after filtering) does not have this measurement filtering
It influences.When k is 19, a=3.7% is considered as this measurement substantially and has little effect.So only considering k value hereinafter
The case where range is 1~19.In reality, default value 4 is generally used, at this time a=50%, that is, previous filter result when filtering
With the mean value of this measurement result, or use 6, a=35%, that is, part of previous filter result Zhan Yuesan/bis- at this time
Volume, this measures the share for accounting for one third.
Defined according to 3GPP LTE protocol, it is the primary measurement of 200ms which, which is suitable for frequency, when measuring between be not
When 200ms, need to carry out adaptive correction to formula.But how filtering formula is corrected according to measurement period, be reality urgently
Problem to be solved.
Summary of the invention
Aiming at the problems existing in the prior art, the present invention proposes measurement result dynamic filtering method in a kind of LTE system,
The described method includes:
Step S101 carried out the measurement result according to following formula for the RSRP measurement result in LTE system
Filter:
FN=(1-a)×Fn-1+a×Mn,
Wherein,k∈[0,19]
" < < " is computer integer left shift operator；
Wherein: FnFor this filtered measurement result, Fn-1For last filtered measurement result, MnCurrently to measure
It is arriving as a result, a be adjusting parameter, k be network configuration filtration parameter, v is corrected parameter；
Step S102, when measurement period is 200ms, v=1 is not modified filter result；
Step S103 becomes larger v value according to becoming smaller for measurement period when measurement period is less than 200ms, correspondingly, a value
Reduce, that is, weakens the influence of this measurement result；
Step S104 becomes smaller v value according to becoming larger for measurement period when measurement period is greater than 200ms, correspondingly, a value
Increase, that is, enhances the influence of this measurement result.
The present invention also proposes measurement result dynamic filtration system in a kind of LTE system, the system comprises:
Filter element: the filter element is for the RSRP measurement result in LTE system, according to following formula to the survey
Amount result is filtered:
For the RSRP measurement result in LTE system, the measurement result is filtered according to following formula:
Fn=(1-a) × Fn-1+a×Mn,
Wherein,k∈[0,19]
" < < " is computer integer left shift operator；
Wherein: FnFor this filtered measurement result, Fn-1For last filtered measurement result, MnCurrently to measure
It is arriving as a result, a be adjusting parameter, k be network configuration filtration parameter, v is corrected parameter
Amending unit, the amending unit are configured as: when measurement period be 200ms when, v=1, not to filter result into
Row amendment；When measurement period is less than 200ms, v value is become larger according to becoming smaller for measurement period, correspondingly, a value reduces, that is, cuts
The influence of this weak measurement result；When measurement period is greater than 200ms, v value is become smaller according to becoming larger for measurement period, accordingly
Ground, a value increase, that is, enhance the influence of this measurement result.
The parameter that the filter element is determined based on amending unit is filtered measurement result.
The present invention adjusts the parameter in filtering formula by measurement period come dynamic, so that using different measurement weeks
Phase, through measurement after a period of time, filtered result approaches as best one can.
Detailed description of the invention
Fig. 1 shows the flow chart of an embodiment of measurement result dynamic filtering method in LTE system of the invention；
Fig. 2 shows the flow chart of an embodiment of measurement result dynamic filtration system in LTE system of the invention.
Specific embodiment
In practice process, since the ability and measurement target of UE (user equipment, User Equipment) are (i.e. to be measured small
Area) property (such as: with frequency or alien frequencies, with band or different band) and quantity difference, be difficult the measurement for accomplishing that 200ms is primary
The time of frequency or even a wheel measurement can be constantly in variation, if also adopting the formula (1) and network configuration that 3GPP is defined
Filtration parameter it is obviously improper.
A kind of network scenarios is first simulated, UE is at the uniform velocity mobile to base station, ideally, the RSRP value Uniform attenuation measured,
Every 100ms decaying 3dBm.Ideal RSRP value is -96dBm under original state, and when using k=4 (a=0.5), measurement period is distinguished
When for 200ms and 100ms, filter result such as the following table 1.
So-called perfect condition refers to, in this state, when UE is at the uniform velocity mobile to base station, if measurement period is certain, then
Measurement result is also at the uniform velocity to change.But due to there is various interference in reality, so this perfect condition is difficult to exist.Due to
The uncertainty of interference, so the present invention is set as in the ideal situation, the influence for different measurement periods to filter result
It is studied.
This perfect condition setting are as follows: from initial time (0ms), arrive end time (such as 600ms), UE measurement
RSRP is even variation (such as: every 100ms improves 3dBm), it is assumed that the RSRP value that initial time UE is measured is -96dBm, that
It is -96+3=-93dBm in the RSRP that 100ms is measured, the RSRP that 200ms is measured is -93+3=-90dBm, and so on.
If UE measurement period is 200ms, the measurement moment should be just 0ms, 200ms, 400ms, and 600ms (measures 4 altogether
It is secondary), the RSRP measured should be -96, -90, -84, -78 (dBm).
If UE measurement period be 100ms, measurement the moment be 0ms, 100ms, 200ms, 300ms, 400ms, 500ms,
600ms (is measured 7 times) altogether, and the RSRP measured is -96, -93, -90, -87, -84, -81, -78 (dBm).
If measurement all applies formula (1) every time, and the k=4 (a=0.5) of network configuration, then in 200ms and
Under the 100ms period, the filter value after measurement is as follows: every time
The filter result contrast table for ignoring measurement period when 1 k=4 of table when influencing
It obviously, can be than the filter result of 200ms measurement period using the measurement period of 100ms when it is 600ms that measurement, which is carved,
High 2.3dBm.The event evaluation that will lead to measurement result in this way generates error (being advanced or delayed).
The object of the invention is to which the parameter of filtering formula (1) is adjusted come dynamic by measurement period, so that using
Different measurement periods, through measurement after a period of time, filtered result approaches as best one can.
First embodiment
The first embodiment of method of the invention includes:
Step S101 carried out the measurement result according to following formula for the RSRP measurement result in LTE system
Filter:
Fn=(1-a) × Fn-1+a×MnFormula (2)
Wherein,k∈[0,19]
Wherein:
FnFor this filtered measurement result；
Fn-1For last filtered measurement result；
MnFor the result currently measured；
" < < " is computer integer left shift operator；
A is adjusting parameter, and the value of a is related to k, and k is the L3 filtration parameter of network configuration, and k is hash integer, and v is to repair
Positive parameter.
Step S102, when measurement period is 200ms, v=1 is not modified filter result.
Step S103 becomes larger v value according to becoming smaller for measurement period when measurement period is less than 200ms, correspondingly, a value
Reduce, that is, weakens the influence of this measurement result；
Step S104 becomes smaller v value according to becoming larger for measurement period when measurement period is greater than 200ms, correspondingly, a value
Increase, that is, enhances the influence of this measurement result.
A value is smaller, and filter effect is bigger, and single measurement is mutated amplitude can be smaller, but same, for fast-changing ring
Also more sluggish (it is possible that generating the case where UE crosses switching point but do not trigger) is reacted in border.A value is bigger, filter effect
Smaller, single measurement influences also bigger caused by being mutated, and such UE will be more sensitive to environment, in the fewer ring of noise
Environmental change can be rapidly adapted in border, trigger measurement of correlation report in time, but measurement caused by environmental disturbances is prominent simultaneously
Change may also interrupt ongoing measurement assessment, so that measurement report can not trigger in time.
Measurement period is longer, then illustrates that the time interval of last measurement and this measurement is longer, then last mistake
The validity for filtering result is also just smaller, then when calculating the filter result of this measurement, ratio shared by last filter result
Example also should be smaller, that is, (1-a) reduces, and a increases.Conversely, a then reduces.
Ideally, no matter the k value of network configuration is how many, through measurement after a period of time, when UE is using different
Measurement period (pendulous frequency is different), last filter result is consistent.Performance in table 1 is exactly in 600ms, using 100ms
It should be consistent with the filter value of 200ms measurement period.
But in real network application, due to the presence of various interference, so that can not meet using a kind of method ideal
The demand of state, so what the present invention studied is using a kind of Regulation mechanism, so that under different cycles, through survey after a period of time
After amount, filter result as close possible to.In the difference that the performance of table 1 is exactly using the filter value of 100ms and 200ms measurement period
As close possible to 0.
Second embodiment
In the first embodiment, in step S103 and S104, the adjustment side of filtration parameter is determined with measurement period
Formula.It in the present embodiment, is further improved to the step S103 and S104 of first embodiment.
In practice, it is preferable that it is further contemplated that the beginning and end of measurement period.
(1) definition of starting point
I.e. minimum measurement period, general practical related to engineering, in actual implementation, UE can generally define a minimum survey
Measure the period, though need the cell that measures only one, do not allow measurement period to be less than this value yet.No matter the number of measurement object
Amount is how many, what type is, measurement period cannot be less than minimum measurement period.
(2) determination of starting point
3GPP TS 36.133 defines the maximum to various measurement objects (cell of wireless network) in measurement process
Cycle T3GPP, in actual implementation, can generally define measurement period T one the smallestmin, so that Tmin≤T3GPP.Measurement period is got over
Small, measuring more frequent, spent MIPS, (Million Instructions Per Second, computer each second execute
Million instruction numbers) it is more.UE should be according to the number of frequency bands, wireless standard, system architecture, CPU speed, protocol stack that it is supported
Scheduling strategy even economizes on electricity with power consumption requirements and determines starting point.On the basis of meeting above-mentioned condition, one is defined reasonably
Minimum measurement period.
(3) definition of terminal
Terminal is so that the invalid separation of a preceding measurement result, that is to say, that from measurement moment last time to this
The duration at measurement moment is more than that the result that filters before this time span can think is no longer valid, this measurement should be by
It is considered to measure for the first time.
The meaning of this terminal and measurement period is different, and unexpected is happened due to various
(such as switching, reconstruction or different-frequency measure configuration change, etc.), causes measurement to be interrupted a period of time, therefore need
Restart to measure.
This is also the factor that an engineering should be considered in practice.In practice process, UE is not always to all small
Area measures, and when measurement is interrupted, needs to consider when the result that front measures fails, instantly one-shot measurement result
When arrival, if measurement period has exceeded this separation, it is believed that last measurement result is invalid.
Obviously, the definition of this terminal and filtration parameter are unrelated, can regard the lifetime of one-shot measurement result as, generally
For the lifetime be more than network configuration measurement event triggering duration be reasonable set.It is filtered being adjusted according to measurement period
When parameter, need in view of this factor.
(4) determination of terminal
If to given filtration parameter k, a > 1, then can be regarded as by making the measurement period length of a=1 by one
Terminal.A is 1, FnAs Mn, that is to say, that without filtering.
Specifically, according to formula (2), in k when [0,19] interior value, a≤1.But if certain meter is carried out to a value
It calculates, it is possible to super to go beyond the scope.For example, when measurement period is 200ms, k=1, a=0.84, that is to say, that last
Filter result no longer valid 84%.So when measurement period is greater than 200ms, if according to such as first embodiment step
S3 " when measurement period be greater than 200ms when, a is increased " mode a is adjusted, possible measurement period when less than 300ms,
A has been over 1.So make the measurement period of a=1 that can regard a terminal as.
The beginning and end of measurement period has been determined, has also determined that independent variable (measurement when we improve for formula (2)
Period) value range, it should be noted that the range is variable.
Here independent variable refers to that measurement period, beginning and end are the minimum and maximum values of measurement period.According to survey
Period t is measured to adjust a, measurement period t is independent variable here, and a is dependent variable, i.e. v is dependent variable.
Based on first embodiment, present target is when measurement period is less than 200ms, and a moderately reduces, when measurement week
When phase is greater than 200ms, a moderately increases.It needs exist for considering:
1) variation tendency of the measurement period t in two sections larger and smaller than 200ms
Time interval within obvious 200ms is smaller, so the variation of measurement period will as far as possible uniformly, and amplitude cannot be too
Greatly, it is otherwise easy to so that this measures the effect very little played, so measurement period takes more gentle variation.
And when measurement period is greater than 200ms, since constant interval is big, it is possible to suitably make the variation of measurement period
Aggravation, but when the period is excessive, since measurement influence early period is smaller and smaller, so variation will tend towards stability and restrain.
2) amplitude that measurement period t changes in two sections larger and smaller than 200ms
The entire effectively range of measurement period is divided equally, it is each be segmented into T millisecond, and each adjacent two is segmented
Amplitude of variation be it is determining, then T bigger (divide thicker), amplitude of variation is smaller, and T smaller (dividing thinner), amplitude of variation
Also bigger.
In this way under given measurement period, so that it may control amplitude of variation with T.When T can regard actual measurement as
Between time interval aliquot with the canonical measure time (200ms).Aliquot is bigger, then time interval is divided the timeslice of going out
Fewer, the variation of v is gentler.
3) object that measurement period t changes in two sections larger and smaller than 200ms
In the formula (1) that 3GPP is provided, the variable of most original is k, and k is a hash set of integers, and corresponding calculating is more
It is complicated, it is not easy to carry out Linear Control.Notice that the denominator of a can regard 2 askEvolution twice is carried out again, if to 2kBecome
Change, then evolution can play the role of contraction change amplitude twice, and calculates simple and convenient.
Comprehensive considering above, in the present embodiment:
In step s 103, when measurement period is less than 200ms, using the time difference of measurement period and 200ms as linearly
Coefficient is modified v.Negative power index variation is carried out to the linear coefficient with section length T, variation coefficient depends on segmentation
Length T, T is bigger, and amplitude of variation is smaller, and T is smaller, and amplitude of variation is also bigger, and wherein section length T is entirely effectively to measure
The range at moment carry out respectively after each segmentation duration.
In step S104, when measurement period is greater than 200ms, referred to using the time difference of measurement period and 200ms as negative power
Several couples of v are modified.Negative power index variation is carried out to the negative power index with section length T, equally, variation coefficient depends on dividing
Segment length T, T is bigger, and amplitude of variation is smaller, and T is smaller, and amplitude of variation is also bigger.
Third embodiment
V is adjusted in the following way when measurement period is less than 200ms in step S103:
V is adjusted in the following way when measurement period is greater than 200ms in step S104:
Wherein, t is this measurement period, and T is each segmentation after carrying out the range of entire effectively measurement period respectively
Duration, c be experience constant.
T is this measurement period (expression input sampling rate), and the meaning of T is identical as second embodiment, will be entirely effective
The range at measurement moment is divided equally, and each setting stepwise is T milliseconds.T can regard actual measurement period and canonical measure as
The time interval aliquot in period (200ms).Aliquot is bigger, then the divided timeslice out of time interval is fewer, the variation of v
It is gentler.
N is the standard sample rate relative to 200ms, is variable.T is the empirical coefficient for adjusting n.
C is experience constant, the amplitude of variation of Constant control n, such as the amplitude of variation of n is enlarged into 1.5 times, i.e. c=
1.5.In practice, a c value can be first assumed, the calculating of a is then carried out to each value of T, is determined according to the value of a most suitable
T, constantly c is adjusted, then observes a being calculated again, the value of c is determined according to the value of a.So c is kind of a basis
Experimental result is constantly approached so that it is determined that value.
In conclusion filtering model proposed by the present invention are as follows:
Fn=(1-a) × Fn-1+a×Mn
Wherein,k∈[0,19]
Wherein: " < < " it is computer integer left shift operator,
FnFor this filtered measurement result, Fn-1For last filtered measurement result, MnCurrently measure
As a result, a is adjusting parameter, k is network configuration filtration parameter, and v is corrected parameter；
Present embodiment is further described referring to Fig. 1.
Firstly, setting measurement period t, network configuration filtration parameter k, regulation coefficient T in step S401.
In step S402, the shift left operation of computer integer is carried out to b.
In step S403, compare measurement period t and 200ms, if it is greater than 200ms, step S404 is jumped to, if t is small
In 200ms, step S405 is jumped to.
It is greater than 200ms in step S404, measurement period t, b is adjusted by formula b=b*n*c, is then branched to
Step S407.Wherein,
In step S405, measurement period is less than 200ms, is adjusted, is then branched to b by formula b=b/ (n*c)
Step S407.Wherein,
In step S406, b is adjusted by formula b=sqrt (sqrt (b)), radical sign is opened in wherein sqrt expression.
Optionally, in step S407, a is obtained by formula a=1/b, to tie according to revised formula to measurement
Fruit is filtered.
Interpretation of result
It is as a result better when T is 30 by the analysis to calculated result.
The interpretation of result of contrast table 1, or by taking k=4 (200ms measurement period when a=0.5) as an example, as T=30, a=
0.334, filtering comparing result is as shown in table 2 below:
Filter result table when table 2 T=30, K=4
Obviously, in 600ms, the filter value difference in 200ms and 100ms period only has 0.21dB, hence it is evident that reduces because surveying
Measure period and bring error.
4th embodiment
The physical meaning of parameter or symbol in present embodiment is with first to identical described in third embodiment.At this
In embodiment, the present invention provides measurement result dynamic filtration system in a kind of LTE system, as shown in Fig. 2, the system packet
It includes:
Filter element: the filter element is for the RSRP measurement result in LTE system, according to following formula to the survey
Amount result is filtered:
Fn=(1-a) × Fn-1+a×Mn,
Wherein,k∈[0,19]
" < < " is computer integer left shift operator；
Wherein: FnFor this filtered measurement result, Fn-1For last filtered measurement result, MnCurrently to measure
It is arriving as a result, a be adjusting parameter, k be network configuration filtration parameter, v is corrected parameter.
Amending unit, the amending unit are configured as: when measurement period be 200ms when, v=1, not to filter result into
Row amendment；When measurement period is less than 200ms, v value is become larger according to becoming smaller for measurement period, correspondingly, a value reduces, that is, cuts
The influence of this weak measurement result；When measurement period is greater than 200ms, v value is become smaller according to becoming larger for measurement period, accordingly
Ground, a value increase, that is, enhance the influence of this measurement result
The parameter that the filter element is determined based on amending unit is filtered measurement result.
In a preferred embodiment, the amending unit is configured as: when measurement period is less than 200ms, to survey
Amount period and the time difference of 200ms are modified v as linear coefficient；In step S104, when measurement period is greater than 200ms
When, it is modified using the time difference of measurement period and 200ms as negative power exponent pair v.
Further, the amending unit can be configured as: with section length T to the linear coefficient and negative power index into
Row negative power index variation, T are the duration of each segmentation after carrying out the range of entire effectively measurement period respectively.
In yet another preferred embodiment, the amending unit is configured as:
When measurement period is less than 200ms, v is adjusted in the following way:
When measurement period is greater than 200ms, v is adjusted in the following way:
Wherein, t is this measurement period, and T is each segmentation after carrying out the range of entire effectively measurement period respectively
Duration, c be experience constant.
Further, the system further includes parameter determination unit, and the parameter determination unit is configured as by such as under type
Determine experience constant c:
First assume a c value, the calculating of a is then carried out according to the value of T, determines closest to suitable T, then c is carried out
Adjustment, determines c value according to a being calculated.
The present invention is described although having been combined and being presently considered to feasible illustrative embodiments, it will be understood that, this
Invention is not limited to disclosed illustrative embodiments, but on the contrary, the embodiments of the present invention can be combined with each other, originally
Invention is intended to cover the various modifications and equivalent arrangements being included in the spirit and scope of claims.
Claims (2)
1. measurement result dynamic filtering method in a kind of LTE system characterized by comprising
Step S101 is filtered the measurement result according to following formula for the RSRP measurement result in LTE system:
Fn=(1-a) × Fn-1+a×Mn,
Wherein,K ∈ [0,19],
Wherein: " < < " it is computer integer left shift operator, FnFor this filtered measurement result, Fn-1After last time filtering
Measurement result, MnTo be currently measuring as a result, a is adjusting parameter, k is network configuration filtration parameter, and v is corrected parameter；
Step S102, when measurement period is 200ms, v=1 is not modified filter result；
Step S103 becomes larger v value according to becoming smaller for measurement period, correspondingly, a value subtracts when measurement period is less than 200ms
It is small, that is, weaken the influence of this measurement result, when measurement period is less than 200ms, with the time difference of measurement period and 200ms work
V is modified for linear coefficient；
Step S104 becomes smaller v value according to becoming larger for measurement period when measurement period is greater than 200ms, and correspondingly, a value increases
Greatly, that is, the influence for enhancing this measurement result, when measurement period is greater than 200ms, with the time difference of measurement period and 200ms work
The inverse that is negative is modified v；
In step S103 and step S104, negative variation reciprocal, T are carried out to the linear coefficient and negative inverse with section length T
For by it is entire effectively measurement period range carry out respectively after each segmentation duration,
V is modified in the following way when measurement period is less than 200ms in step S103:
V=n × c,
V is modified in the following way when measurement period is greater than 200ms in step S104:
Wherein, t is this measurement period, T be each segmentation after carrying out the range of entire effective measurement period respectively when
Long, c is experience constant,
It is determined as follows c: first assuming a c value, the calculating of a is then carried out according to the value of T, determine closest to suitable
Then T is adjusted c, determine c value according to a being calculated.
2. measurement result dynamic filtration system in a kind of LTE system characterized by comprising
Filter element: the filter element ties the measurement according to following formula for the RSRP measurement result in LTE system
Fruit is filtered:
Fn=(1-a) × Fn-1+a×Mn,
Wherein,k∈[0,19]
" < < " is computer integer left shift operator；
Wherein: FnFor this filtered measurement result, Fn-1For last filtered measurement result, MnCurrently measure
As a result, a is adjusting parameter, k is network configuration filtration parameter, and v is corrected parameter；
Amending unit, the amending unit are configured as: when measurement period is 200ms, v=1 is not repaired filter result
Just；When measurement period is less than 200ms, v value is become larger according to becoming smaller for measurement period, correspondingly, a value reduces, that is, weakens this
The influence of secondary measurement result；When measurement period is greater than 200ms, v value is become smaller according to becoming larger for measurement period, correspondingly, a value
Increase, that is, enhances the influence of this measurement result；
The parameter that the filter element is determined based on amending unit is filtered measurement result；
The amending unit is configured as: when measurement period be less than 200ms when, using the time difference of measurement period and 200ms as
Linear coefficient is modified v；In step S104, when measurement period is greater than 200ms, with measurement period and 200ms when
Between difference v is modified as negative inverse；
The amending unit is configured as: carrying out negative variation reciprocal to the linear coefficient and negative inverse with section length T, T is
The duration of each segmentation after the range of entire effectively measurement period is carried out respectively, the amending unit are configured as:
When measurement period is less than 200ms, v is modified in the following way:
V=n × c,
When measurement period is greater than 200ms, v is modified in the following way:
Wherein, t is this measurement period, T be each segmentation after carrying out the range of entire effective measurement period respectively when
Long, c is experience constant；It further include parameter determination unit, the parameter determination unit is configured as determining experience by such as under type
Constant c: first assuming a c value, and the calculating of a is then carried out according to the value of T, suitable T is determined, is then adjusted to c, according to
The a being calculated determines c value.
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