CN103906149B - A kind of signal fluctuation analysis method, apparatus and system - Google Patents
A kind of signal fluctuation analysis method, apparatus and system Download PDFInfo
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- CN103906149B CN103906149B CN201210587680.2A CN201210587680A CN103906149B CN 103906149 B CN103906149 B CN 103906149B CN 201210587680 A CN201210587680 A CN 201210587680A CN 103906149 B CN103906149 B CN 103906149B
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Abstract
The invention discloses a kind of signal fluctuation analysis method and device, filter window adjusting module, base station power control method and system.According to the fluctuation of signal, dynamic adjustment calculates the filter window size that average value is used next time, so that the average value for calculating can more accurately reflect current demand signal situation next time.For the different user under same cell, the rational filter window of choice of dynamical is distinguished by the different wireless environment according to residing for terminal, reflect that the average value of each user's current radio environment participates in Power Control or base station switch decision to be accurately obtained in time, the problem of user's request under different radio environment under cell cannot be met so as to the filter window size of evading static configuration.
Description
Technical field
Adjusted the present invention relates to wireless technical field, more particularly to a kind of signal fluctuation analysis method and device, filter window
Mould preparation block, base station power control method and system.
Background technology
In mobile communication technology, switching and Power Control are the most basic functions for ensureing network communication services.Regardless of whether
It is switching or Power Control, is required for up-downgoing Radio Link being measured to obtain link shape respectively by MS and BTS
Condition, and Power Control judgement or switch decision are made accordingly.It is in itself fluctuation due to wireless signal, if often measuring a value
Just accordingly enter a judgement, be just easy to maloperation occur.To reduce the fluctuation influence of wireless signal, it is typically necessary on MS
The out-hole run value that the measurement report and BTS of report are measured is filtered treatment, also will multiple measured values carry out arithmetic average or
Weighted average, obtains an average value.Prior art, for the different types of switching/power control of each cell, can all set corresponding
Filter window parameter, the parameter define carries out averagely obtaining an average value to how many measured values.The parameter setting
Afterwards, all MS under cell act in accordance with it.
In the prior art, when being pre-processed to measured value, determine what is be averaged by this parameter of filter window
Number of measurement values.The parameter is cell-level parameter, i.e., once setting（It is assumed that being set to W）, all MS under the cell are required for
After it have collected W measurement, this W measured value is averaging processing, obtained during an average value participates in judging process.
If this parameter setting is excessive, can well overcome the fluctuation of signal, but process time can be caused long, it is impossible in time with
The change of upper signal；If setting is too small, the change of signal can be timely responded to, but be highly susceptible to the shadow of signal fluctuation
Ring, be easily caused misjudgement.Even same MS, because the wireless environment residing for it is also, in change, therefore once to lead to
All carried out using single W during words averagely, the average value for obtaining can not reflect the wireless actual conditions at each moment.
In the diverse location of cell, residing wireless environment is all different, signal fluctuation to user distribution under cell
Situation is had nothing in common with each other, therefore no matter why the parameter setting is worth, and all can only be in specific wireless to the certain customers under the cell
Best results under environment, as long as and pair wireless environment is slightly changed, will exist can not overcome signal fluctuation or process time
Long problem.
After average value is obtained, recycle N/P criterions to be judged, namely there is P to exceed appointed threshold in N number of average value
Th, just triggers corresponding power control/switching flow.
The technical issues that need to address are at present：For the call of the different user under same cell and same user
During, how the rational filter window of choice of dynamical is distinguished according to themselves different wireless environment being presently in,
Reflect the average value of each user radio environment to be accurately obtained in time to participate in power control or switch decision, so as to evade static state
The filter window size of configuration cannot meet user's request under different radio environment under cell.
The content of the invention
In order to solve technical problem in the prior art to signal fluctuation erroneous judgement, the present invention proposes a kind of signal fluctuation analysis
Method, device and filter window adjusting module.
In order to solve the technical problem of maloperation occur to base station power control and base station switching in the prior art, the present invention
Propose a kind of base station power control method and system, base station switching control method and system.
A kind of one aspect of the present invention, there is provided signal fluctuation analysis method, including：
With the first filter window value W1Collection W1Individual level intensity measured value, calculates W1The first of individual level intensity measured value
Average value AVE1, standard variance coefficient V is calculated according to the level intensity measured valueσ1；
According to the standard variance coefficient Vσ1, signal fluctuation Upper threshold TH set in advanceupAnd signal fluctuation Lower Threshold
THloThe second filter window value W that calculating is analyzed next time2；
According to the second filter window value W2Collection W2Individual level intensity measured value, calculates W2Individual level intensity measured value
The second average value AVE2, and calculate the 3rd filter window value W for analyzing next time again3；
The filter window value analyzed next time is recalculated while analysis each time, by that analogy.
A kind of another aspect of the present invention, there is provided signal fluctuation analytical equipment, including：
Acquisition module, for according to the first filter window value W1Collection W1Individual level intensity measured value；
Fluction analysis module, for calculating W1First average value AVE of individual level intensity measured value1；
Filter window adjusting module, for the first filter window value W1Collection W1Individual level intensity measured value, calculates W1It is individual
First average value AVE of level intensity measured value1, standard variance coefficient V is calculated according to the level intensity measured valueσ1；According to
The standard variance coefficient Vσ1, signal fluctuation Upper threshold TH set in advanceupAnd signal fluctuation Lower Threshold THloCalculate next time
Second filter window value W of analysis2。
A kind of another aspect of the present invention, there is provided filter window adjusting module, including：
First calculating sub module, for calculating standard variance coefficient V according to the level intensity measured valueσ1；
Second calculating sub module, for according to the standard variance coefficient Vσ1, signal fluctuation Upper threshold set in advance
THupAnd signal fluctuation Lower Threshold THloThe filter window value W that calculating is analyzed next time2。
Signal fluctuation analysis method of the invention, device and filter window adjusting module, according to the fluctuation of signal, dynamic
Adjustment calculates the filter window size that average value is used next time, so that the average value for calculating can be more next time
Accurately reflect current demand signal situation.
A kind of another aspect of the present invention, there is provided base station power control method, including：According to the first filter window value W1
Acquisition terminal measures the W of downstream signal1Individual level intensity measured value, calculates W1First average value of individual level intensity measured value
AVE1, and calculate the second filter window value W for analyzing next time2；According to the second filter window value W2Calculate W2Individual level is strong
Spend the first average value AVE of measured value1, and calculate the second filter window value W for analyzing next time3, by that analogy；According to gained
First power adjustment of each average value for arriving and default power control threshold value calculation base station, and by first power adjustment
It is sent to the base station.
A kind of another aspect of the present invention, there is provided base station power control system, including：Signal fluctuation analytical equipment, uses
According to the first filter window value W1Acquisition terminal measures the W of downstream signal1Individual level intensity measured value, calculates W1Individual level is strong
Spend the first average value AVE of measured value1, and calculate the second filter window value W for analyzing next time2；According to second spectral window
Mouth value W2Calculate W2First average value AVE of individual level intensity measured value1, and calculate the second filter window value analyzed next time
W3, by that analogy；Output computation device, for basis obtained by each average value and default power control threshold value calculation base station
First power adjustment, and first power adjustment is sent to the base station.
Base station power control method of the invention and system, for the different user under same cell, by according to terminal
The residing different wireless environment difference rational filter window of choice of dynamical, reflects that each user works as to be accurately obtained in time
The average value of preceding wireless environment come participate in Power Control judgement, so as to the filter window size for evading static configuration cannot meet small
Under area under different radio environment user's request problem.
A kind of another aspect of the present invention, there is provided base station switching control method, including：According to the first filter window value W1
Acquisition terminal measures the W of downstream signal1Individual level intensity measured value, calculates W1First average value of individual level intensity measured value
AVE1, and calculate the second filter window value W for analyzing next time2；According to the second filter window value W2Calculate W2Individual level is strong
Spend the second average value AVE of measured value2And the 3rd filter window value W for analyzing next time again3, by that analogy；It is flat according to what is obtained
Average judges whether to need to carry out base station switching with default handoff threshold value；When needing to carry out base station switching, must switch
The base station arrived notifies the terminal.
A kind of another aspect of the present invention, there is provided base station handover control system, including：Signal fluctuation analytical equipment, uses
According to the first filter window value W1Acquisition terminal measures the W of downstream signal1Individual level intensity measured value, calculates W1Individual level is strong
Spend the first average value AVE of measured value1, and calculate the second filter window value W for analyzing next time2；According to second spectral window
Mouth value W2Calculate W2Second average value AVE of individual level intensity measured value2And the 3rd filter window value W for analyzing next time again3,
By that analogy；Switching control, for judging whether that needs are carried out with default handoff threshold value according to the average value for obtaining
Base station switches；When needing to carry out base station switching, the base station that must be switched to is notified into the terminal.
Method for handover control of the invention and system, for the different user under same cell, by according to residing for terminal
The different wireless environment difference rational filter windows of choice of dynamical, be accurately obtained in time each user of reflection currently without
The average value of thread environment participates in switch decision, so as to the filter window size of evading static configuration cannot meet different under cell
The problem of user's request under wireless environment.
Brief description of the drawings
Fig. 1 is the flow chart of signal fluctuation analysis method embodiment of the present invention；
Fig. 2 is the structure chart of signal fluctuation analytical equipment embodiment of the present invention；
Fig. 3 is the structure chart of filter window adjusting module embodiment of the present invention；
Fig. 4 is the flow chart of base station power control method embodiment of the present invention；
Fig. 5 is the structure chart of base station power control system embodiment of the present invention；
Fig. 6 is the flow chart of base station power changing method embodiment of the present invention；
Fig. 7 is the structure chart of switching system embodiment in base station of the present invention.
Specific embodiment
Relation between filter window size and signal averaging is as shown in table 1 below, wherein being obtained according to arithmetic average
Arrive（In addition to arithmetic average, there can also be a variety of others average algorithms, such as weighted average gives each measured value one
Each measured value, is then multiplied by weighted value and adds up it again by fixed weight, the usually newest measured value weight highest for receiving
It is averaging again afterwards, the average value for so obtaining is more focused on newest wireless conditions.Specifically how setting weight can have difference
Method.Average value either is obtained for arithmetic average, or average value is obtained for various weighted averages, can applied
The method of the present invention）.
Table 1
Measured value this line is the downlink signal levels value that mobile phone is reported, and mobile phone has altogether and reported 15 measured values in upper table.
Average value（W=8）This line explanation filter window is fixed and is set to 8, now after it have collected 8 measured values,
Can be by this 8 measured values（Sequence number 1~8）An average value -70dBm is generated, at next moment, then by 8 nearest surveys
Value（Sequence number 2~9）An average value -71dBm is generated, by that analogy, it can be seen that when filter window is set to 8, there is two
Individual problem：One is to have gathered 8 measured values just to obtain the 1st average value, therefore obtains the speed of start average value slowly, and this will
Directly affect follow-up judgement speed；Two be the average value that obtains because the historical measurements for considering are too many, therefore can not be accurate
The current signal intensity of reflection, it can be seen that the average value for obtaining is all very stable in this, is maintained at more than -70, with measured value
Actual conditions（It is distributed between -54 to -90）Difference is larger；
Following several rows are respectively the mean conditions obtained when filter window is 6,4,2, it can be seen that filter window is got over
Small, the time for obtaining the 1st average value is shorter, while the average value for obtaining gets over the situation that can reflect current measurement value, but also just
Because of that, if filter window is too small, the effect of filtering is not just had in fact yet, once signal is undergone mutation, obtain
Average value is also just mutated, so as to erroneous judgement can be caused.For example, when W=2, if power control interval is set as -85~-75, P/N
It is set as 2/3（I.e. when have in 3 nearest average value 2 exceed Upper threshold -75, then it is assumed that current demand signal is too strong, it should drop work(
Rate；When having 2 in 3 nearest average value less than Lower Threshold -85, then it is assumed that current demand signal is too weak, it should power per liter）, can
To see, when serial number 4, due to preceding 3 average value（- 55, -72, -89）In have 2 more than Upper threshold -75, therefore
Now it is determined that needing to drop power, and then when serial number 5, due to preceding 3 average value（-72、-89、-88）In have
2 be less than Lower Threshold -85, it is determined that needing power per liter, therefore occurred as soon as the situation of frequent operation, do not overcome sequence number 3,
4th, the mutation that 5 abnormal measures bring, loses the meaning of filtering.
The present invention adjusts follow-up filter window size by considering the signal fluctuation situation of several measured values recently come dynamic,
Difference according to signal fluctuation degree is corresponding using the filter window for being adapted to size, and average value is quick and precisely obtained so as to reach
Purpose.Below in conjunction with accompanying drawing, the present invention is described in detail.
Embodiment of the method one
As shown in figure 1, signal fluctuation analysis method embodiment of the invention is comprised the following steps：
Step 102, with the first filter window value W1Collection W1Individual level intensity measured value；
Step 104, calculates W1First average value AVE of individual level intensity measured value1；
Step 106, default selection parameter N is compared with the total number of the level intensity measured value for collecting, and works as N
Less than level intensity measured value total number when, select N number of newest level intensity measured value to calculate standard variance coefficient Vσ1；When
When N is more than the total number of level intensity measured value, all of level intensity measured value is selected to calculate standard variance coefficient Vσ1；
Standard variance coefficient is called relative standard deviation（relative standard deviation,RSD）, it is selection
The ratio between standard variance and its arithmetic mean of instantaneous value of level intensity measured value, be also called the coefficient of variation（Coefficient of
variation,C.V.）, generally represented with percentage：
Wherein, s is the standard variance of N number of level intensity measured value,xiIt is i ＆ lt measured value,It is the calculation of N number of level intensity measured value
Art average value；
Because the level for measuring all is negative value, therefore, added individual absolute value for the average value of denominator, that is, use standard
Variance divided by average value absolute value,
Step 108, compares the first standard variance coefficient Vσ1With signal fluctuation Upper threshold TH set in advanceup, work as Vσ1＞
THupWhen, step 112 is performed, work as Vσ1≤THupWhen, perform step 110；
Step 110, compares the first standard variance coefficient Vσ1With signal fluctuation Lower Threshold TH set in advancelo, work as Vσ1＜
THloWhen, step 114 is performed, work as Vσ1≥THloWhen, perform step 116；
Step 112, calculates the second filter window value W2=min (W1+INC,Wmax), wherein, INC is each increase spectral window
The step-length of mouth value, WmaxIt is maximum filter window value set in advance；
Step 114, the second filter window value of calculating is W2=max (W1-RED,Wmin), wherein, RED is filtered to reduce every time
The step-length of window value, WminIt is minimum filter window value set in advance；
Step 116, by the first filter window value W1As the second filter window value W2；
Step 118, according to the second filter window value W2Collection W2Individual level intensity measured value；
Step 120, calculates W2Second average value AVE of individual level intensity measured value2；
Step 122, default selection parameter N is compared with the total number of the level intensity measured value for collecting, and works as N
Less than level intensity measured value total number when, select N number of newest level intensity measured value to calculate standard variance coefficient Vσ2；When
When N is more than the total number of level intensity measured value, all of level intensity measured value is selected to calculate standard variance coefficient Vσ2；
Step 124, compares the second standard variance coefficient Vσ2With signal fluctuation Upper threshold TH set in advanceup, work as Vσ2＞
THupWhen, step 128 is performed, work as Vσ2≤THupWhen, perform step 126；
Step 126, compares the second standard variance coefficient Vσ2With signal fluctuation Lower Threshold TH set in advancelo, work as Vσ2＜
THloWhen, step 130 is performed, work as Vσ2≥THloWhen, perform step 132；
Step 128, calculates the 3rd filter window value W3=min (W2+INC,Wmax)；
Step 130, the 3rd filter window value of calculating is W3=max (W2-RED,Wmin)；
Step 132, by the second filter window value W2As the 3rd filter window value W3；
The filter window value analyzed next time is recalculated while analysis each time, by that analogy.
Compared with the prior art example in above-mentioned table one, each parameter such as institute of following table two calculated according to the present embodiment
Show.
In this instance, each parameter setting situation is as follows：
Initial filter window value is 2, i.e., filter window at the beginning is 2, begins to calculate have received two measured values
Average value.
The measurement number N parameters for calculating fluctuation are set to 3, that is, the standard variance coefficient for calculating nearest 3 measurement reports is made
For whether the filter window that uses of judgement changes next time, in upper table, the standard variance coefficient of serial number 3 is exactly for 30%
Three measured values according to serial number 1,2,3（-54、-55、-89）Calculate and, the standard variance coefficient of serial number 4 for 25% just
It is three measured values according to serial number 2,3,4（-55、-89、-88）Calculate and, by that analogy.Unique exception is sequence number
Primary standard coefficient of variation for 2 is calculated according to the measured value of serial number 1 and 2, because MIN（Winit, N）=2.
Signal fluctuation Upper threshold THupParameter is set to 15%, i.e., when this standard variance coefficient for calculating is higher than 15%
When, the filter window for calculating next average value increases INC on the basis of current filter window（INC is 1 in this example）.
Signal fluctuation Lower Threshold THloParameter is set to 5%, i.e., when the standard variance coefficient that this is calculated is less than 5%,
The filter window for calculating next average value reduces RED on the basis of current filter window（RED is 1 in this example）.
From in terms of the result calculated, using the present invention, the average value for obtaining also has traced into the change of signal in time
Situation, while in the case of signal fluctuation, larger filter window is automatically regulated to be, the fluctuation of the sequence of average for obtaining
Significantly better than average value fluctuation when filter window is 2 in the prior art, in two signal bust stages（Sequence number 3-5, sequence number
10-12）Power per liter instruction is not sent because of the influence of of short duration power bust, the fluctuation of signal is effectively overcome.
Above-mentioned signal fluctuation analysis method embodiment, according to the fluctuation of signal, dynamic adjustment calculates average value next time
The filter window size for being used, so that the average value for calculating can more accurately reflect current demand signal feelings next time
Condition.
Device embodiment
Based on above method embodiment one, the present invention also provides a kind of signal fluctuation analytical equipment, as shown in Fig. 2 the letter
Number fluction analysis device embodiment includes：Acquisition module 21, fluction analysis module 22, filter window adjusting module 23.
Acquisition module, for according to window value W1Collection W1Individual level intensity measured value.
Fluction analysis module, for calculating W1First average value AVE of individual level intensity measured value1。
Filter window adjusting module, for the first filter window value W1Collection W1Individual level intensity measured value, calculates W1It is individual
First average value AVE of level intensity measured value1, standard variance coefficient V is calculated according to the level intensity measured valueσ1；According to
The standard variance coefficient Vσ1, signal fluctuation Upper threshold TH set in advanceupAnd signal fluctuation Lower Threshold THloCalculate next time
Second filter window value W of analysis2。
As shown in figure 3, filter window adjusting module embodiment is specifically included：Comparison sub-module 31, selection submodule 32, the
One calculating sub module 33, the second calculating sub module 34.
With the total number of the level intensity measured value for collecting be compared default selection parameter N by comparison sub-module.
During for the total number that level intensity measured value is less than as N, selection submodule selects N number of newest level intensity measured value to count
Calculate standard variance coefficient Vσ1；When total numbers of the N more than level intensity measured value, selection submodule selects all of level intensity
Measured value calculates standard variance coefficient Vσ1.First calculating sub module calculates level intensity measured value standard variance coefficient Vσ1.The
Two calculating sub modules are according to the standard variance coefficient Vσ1, signal fluctuation Upper threshold TH set in advanceupAnd signal fluctuation Xiamen
Limit THloThe filter window value W that calculating is analyzed next time2。
Embodiment of the method two
The present invention is also applied in base station power control above-mentioned signal fluctuation analysis method, as shown in figure 4, base of the present invention
Poewr control method embodiment of standing includes：
Step 402, according to the first filter window value W1Acquisition terminal measures the W of downstream signal1Individual level intensity measured value,
Calculate W1First average value AVE of individual level intensity measured value1, and calculate the second filter window value W for analyzing next time2；
Step 404, according to the second filter window value W2Calculate W2First average value of individual level intensity measured value
AVE1, and calculate the second filter window value W for analyzing next time3, by that analogy；
Step 406, adjusts according to resulting each average value with the first power of default power control threshold value calculation base station
Value, and first power adjustment is sent to the base station.
The computational methods of filter window value, to describe in detail, will not be repeated here in above method embodiment one.
Base station power is controlled and the Current Mechanism of base station switching is N/P criterions, namely only after N number of average value is received,
This N number of average value is compared with pre-determined threshold, sees whether that the average value of more than P exceedes the pre-determined threshold, so that
First time power control or switching judging are drawn, is exactly afterwards often to obtain an average value and just do once to judge.
System embodiment one
Based on above method embodiment two, the present invention also provides a kind of base station power control system, as shown in figure 5, this is
System embodiment includes：Signal fluctuation analytical equipment 51 and output computation device 52.
Signal fluctuation analytical equipment is according to the first filter window value W1Acquisition terminal measures the W of downstream signal1Individual level intensity
Measured value, calculates W1First average value AVE of individual level intensity measured value1, and calculate the second filter window value analyzed next time
W2；According to the second filter window value W2Calculate W2First average value AVE of individual level intensity measured value1, and calculate next time
Second filter window value W of analysis3, by that analogy.
First power of each average value of the output computation device according to obtained by and default power control threshold value calculation base station
Adjusted value, and first power adjustment is sent to the base station.Wherein, signal fluctuation analytical equipment is located at base station or base
In station control.Output computation device is located in base station or base station controller.
Base station power control method of the invention and system embodiment, for the different user under same cell, by root
Distinguish the rational filter window of choice of dynamical according to the different wireless environment residing for terminal, each is reflected to be accurately obtained in time
The average value of user radio environment participates in Power Control or switch decision, so as to evade the filter window size of static configuration without
Method meets the problem of user's request under different radio environment under cell.
In real network, the level intensity of mobile phone for measuring downstream signal, not open close measurement report of crossing is sent to base station,
Measured value is sent to BSC by base station again, and BSC obtains average value after being carried out to the measured value for receiving averagely, according to the feelings of average value
Condition judges that current downstream signal is strong or weak, wants base station to reduce transmission power if strong, wants base station to raise if weak
Transmission power.
BSC also calculates nearest several measured values while the measured value to receiving averagely is obtained average value
Standard variance coefficient, judges whether current signal is steady according to the standard variance coefficient for obtaining, if standard variance coefficient is small,
Illustrate signal stabilization, BSC just calculates next average value with smaller filter window, so as to get next average value can be accurate
Really reflect current signal intensity；If the standard variance coefficient for obtaining is big, illustrate that current demand signal is unstable, there is fluctuation,
BSC just calculates next average value with bigger filter window, so as to get next average value be unlikely to be subject to it is current
Jump signal influences and obtains mutation value.
So BSC is according to current signal strength come continuous reasonable selection filter window, and each that can just make to obtain is average
Value more accurately reflects actual conditions, so that more accurate according to the judgement that average value is carried out.
Embodiment of the method three
The present invention is also applied in base station power switching above-mentioned signal fluctuation analysis method, as shown in fig. 6, the embodiment
Comprise the following steps：
Step 602, according to the first filter window value W1Acquisition terminal measures the W of downstream signal1Individual level intensity measured value,
Calculate W1First average value AVE of individual level intensity measured value1, and calculate the second filter window value W for analyzing next time2；
Step 604, according to the second filter window value W2Calculate W2Second average value AVE of individual level intensity measured value2
And the 3rd filter window value W for analyzing next time again3, by that analogy；
Step 606, judges whether to need to carry out base station switching according to the average value for obtaining and default handoff threshold value, when
When needing to carry out base station switching, the base station that must be switched to is notified into the terminal.
System embodiment two
Based on above method embodiment three, the present invention also provides a kind of base station switching system, as shown in fig. 7, the embodiment
Including：Signal fluctuation analytical equipment 71 and switching control 72.
Signal fluctuation analytical equipment is according to the first filter window value W1Acquisition terminal measures the W of downstream signal1Individual level intensity
Measured value, calculates W1First average value AVE of individual level intensity measured value1, and calculate the second filter window value analyzed next time
W2；According to the second filter window value W2Calculate W2Second average value AVE of individual level intensity measured value2And divide next time again
3rd filter window value W of analysis3, by that analogy.
Switching control judges whether to need to carry out base station to cut according to the average value for obtaining and default handoff threshold value
Change；When needing to carry out base station switching, the base station that must be switched to is notified into the terminal.As long as involving the need for measured value
The field for averagely being obtained average value can be applicable the technical program, from the point of view of existing mobile communication technology, in 2G/3G/4G
Etc. can be used in all kinds of GSMs.
It should be noted that：Above example is only used to illustrate rather than limitation, and the present invention is also not limited to above-mentioned
Citing, all technical schemes for not departing from the spirit and scope of the present invention and its improvement, it all should cover in right of the invention
In claimed range.
Claims (12)
1. a kind of signal fluctuation analysis method, it is characterised in that including：
With the first filter window value W1Collection W1Individual level intensity measured value, calculates W1The first of individual level intensity measured value is average
Value AVE1, standard variance coefficient V is calculated according to the level intensity measured valueσ1, wherein, standard variance coefficient is called relative standard
Deviation, is the ratio between standard variance and its arithmetic mean of instantaneous value of the level intensity measured value of selection, is also called the coefficient of variation, is generally used
Percentage is represented：
Wherein, s is the standard variance of N number of level intensity measured value,xiIt is i ＆ lt measured value,It is the calculation of N number of level intensity measured value
Art average value；
According to the standard variance coefficient Vσ1, signal fluctuation Upper threshold TH set in advanceupAnd signal fluctuation Lower Threshold THloMeter
The second filter window value W that calculation is analyzed next time2；
According to the second filter window value W2Collection W2Individual level intensity measured value, calculates W2The of individual level intensity measured value
Two average value AVE2, and calculate the 3rd filter window value W for analyzing next time again3；
The filter window value analyzed next time is recalculated while analysis each time, by that analogy.
2. method according to claim 1, it is characterised in that standard variance system is calculated according to the level intensity measured value
Number Vσ1Including：
Default selection parameter N is compared with the total number of the level intensity measured value for collecting, when N is less than level intensity
During the total number of measured value, N number of newest level intensity measured value is selected to calculate standard variance coefficient Vσ1；
When total numbers of the N more than level intensity measured value, all of level intensity measured value is selected to calculate standard variance coefficient
Vσ1。
3. method according to claim 1, it is characterised in that according to the standard variance coefficient Vσ1, letter set in advance
Number fluctuation Upper threshold THupAnd signal fluctuation Lower Threshold THloIt is determined that the second filter window value W for analyzing next time2Including：
Work as THlo≤Vσ1≤THupWhen, by the first filter window value W1As the second filter window value W2；
Work as Vσ1＞ THupWhen, calculate the second filter window value W2=min (W1+INC,Wmax), wherein, INC is increase filtering every time
The step-length of window value, WmaxIt is maximum filter window value set in advance；
Work as Vσ1＜ THloWhen, the second filter window value of calculating is W2=max (W1-RED,Wmin), wherein, RED is filtered to reduce every time
The step-length of ripple window value, WminIt is minimum filter window value set in advance.
4. a kind of filter window adjusting module, it is characterised in that including：
First calculating sub module, for calculating standard variance coefficient V according to level intensity measured valueσ1, wherein, standard variance coefficient
Relative standard deviation is called, is the ratio between standard variance and its arithmetic mean of instantaneous value of the level intensity measured value of selection, be also called change
Different coefficient, is generally represented with percentage：
Wherein, s is the standard variance of N number of level intensity measured value,xiIt is i ＆ lt measured value,It is the calculation of N number of level intensity measured value
Art average value；
Second calculating sub module, for according to the standard variance coefficient Vσ1, signal fluctuation Upper threshold TH set in advanceupAnd letter
Number fluctuation Lower Threshold THloThe filter window value W that calculating is analyzed next time2。
5. filter window adjusting module according to claim 4, it is characterised in that also include
Comparison sub-module, for default selection parameter N to be compared with the total number of the level intensity measured value for collecting；
Selection submodule, during for the total number that level intensity measured value is less than as N, selects N number of newest level intensity measurement
Value calculates standard variance coefficient Vσ1；When total numbers of the N more than level intensity measured value, all of level intensity measurement is selected
Value calculates standard variance coefficient Vσ1。
6. filter window adjusting module according to claim 4, it is characterised in that second calculating sub module, is used for
Work as THlo≤Vσ1≤THupWhen, by the first filter window value W1As the second filter window value W2；Work as Vσ1＞ THupWhen, calculate second
Filter window value W2=min (W1+INC,Wmax), wherein, INC is the step-length for increasing filter window value every time, WmaxTo preset
Maximum filter window value；Work as Vσ1＜ THloWhen, the second filter window value of calculating is W2=max (W1-RED,Wmin), wherein, RED
To reduce the step-length of filter window value, W every timeminIt is minimum filter window value set in advance.
7. a kind of signal fluctuation analytical equipment, it is characterised in that including：
Acquisition module, for according to the first filter window value W1Collection W1Individual level intensity measured value；
Fluction analysis module, for calculating W1First average value AVE of individual level intensity measured value1；
Filter window adjusting module, for the first filter window value W1Collection W1Individual level intensity measured value, calculates W1Individual level
First average value AVE of intensity measurements1, standard variance coefficient V is calculated according to the level intensity measured valueσ1, wherein, standard
Coefficient of variation is called relative standard deviation, is the ratio between standard variance and its arithmetic mean of instantaneous value of the level intensity measured value of selection,
The coefficient of variation is also called, is generally represented with percentage：
Wherein, s is the standard variance of N number of level intensity measured value,xiIt is i ＆ lt measured value,It is N number of level intensity measured value
Arithmetic mean of instantaneous value；According to the standard variance coefficient Vσ1, signal fluctuation Upper threshold TH set in advanceupAnd signal fluctuation Xiamen
Limit THloThe second filter window value W that calculating is analyzed next time2。
8. a kind of base station power control method, it is characterised in that including：
According to the first filter window value W1Acquisition terminal measures the W of downstream signal1Individual level intensity measured value, calculates W1Individual level
First average value AVE of intensity measurements1, and calculate the second filter window value W for analyzing next time2；
According to the second filter window value W2Calculate W2First average value AVE of individual level intensity measured value1, and calculate next
Second filter window value W of secondary analysis3, by that analogy；
According to the first power adjustment of resulting each average value and default power control threshold value calculation base station, and by described
One power adjustment is sent to the base station.
9. a kind of base station power control system, it is characterised in that including：
Signal fluctuation analytical equipment, for according to the first filter window value W1Acquisition terminal measures the W of downstream signal1Individual level is strong
Degree measured value, calculates W1First average value AVE of individual level intensity measured value1, and calculate the second filter window analyzed next time
Value W2；According to the second filter window value W2Calculate W2First average value AVE of individual level intensity measured value1, and calculate next
Second filter window value W of secondary analysis3, by that analogy；
Output computation device, for basis obtained by each average value and default power control threshold value calculation base station the first power
Adjusted value, and first power adjustment is sent to the base station.
10. system according to claim 9, it is characterised in that the signal fluctuation analytical equipment is located at base station or base station
In controller；The output computation device is located in base station or base station controller.
A kind of 11. base station switch methods, it is characterised in that including：
According to the first filter window value W1Acquisition terminal measures the W of downstream signal1Individual level intensity measured value, calculates W1Individual level
First average value AVE of intensity measurements1, and calculate the second filter window value W for analyzing next time2；
According to the second filter window value W2Calculate W2Second average value AVE of individual level intensity measured value2And divide next time again
3rd filter window value W of analysis3, by that analogy；
Judge whether to need to carry out base station switching according to the average value for obtaining and default handoff threshold value；
When needing to carry out base station switching, the base station that must be switched to is notified into the terminal.
A kind of 12. base station switching systems, it is characterised in that including：
Signal fluctuation analytical equipment, for according to the first filter window value W1Acquisition terminal measures the W of downstream signal1Individual level is strong
Degree measured value, calculates W1First average value AVE of individual level intensity measured value1, and calculate the second filter window analyzed next time
Value W2；According to the second filter window value W2Calculate W2Second average value AVE of individual level intensity measured value2And again next time
3rd filter window value W of analysis3, by that analogy；
Switching control, for judging whether to need to carry out base station according to the average value that obtains and default handoff threshold value to cut
Change；When needing to carry out base station switching, the base station that must be switched to is notified into the terminal.
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