CN1474609A - Dynamic optimizing device and method of signal-to-interference ratio measurement - Google Patents

Abstract

A device and method for S/I ratio measurement dynamic optimization includes the following steps: information extraction unit extracts pilot domain signals from Rake according to the given time slot format from the protocol, a power process unit computes the extracted pilot signals, then adjusts and interferes filter factors dynamically, the latest estimination value of the filter factor is applied to compute signal and S/I ratio time slot measurement value, a statistical process unit carries out statistic even process to it in the measurement period and the S/I ratio measurement value can express the receiving S/N level.

Description

A kind of apparatus and method of signal-to-interference ratio measurement dynamic optimization

Technical field

The present invention relates to mobile radio system, relate in particular to the apparatus and method of a kind of signal interference ratio (SIR) measurement dynamic optimization in the 3-G (Generation Three mobile communication system).

Background technology

In recent years, the progress of information technology has driven the fast development of mobile communication, and radio communication has been deep into the every aspect of industry, commercial affairs and personal lifestyle, and 3-G (Generation Three mobile communication system) has caused people in the industry's extensive concern.

For 3-G (Generation Three mobile communication system), it can provide flexile business such as data service, multimedia service, higher quality of service, the bigger wireless coverage etc. for the user except having, a very outstanding target is the power system capacity that can provide bigger, to satisfy growing traffic needs.

For portable terminal, its a very important design object is low-power consumption.Lower power consumption produces the energy loss that reduces, and to prolong the battery useful life of portable terminal, reduces the electromagnetic radiation to the hand-held person of terminal, realizes well received day by day environmental protection.

In code division multiple access (CDMA) system, all users adopt the multi-access mode of code division multiplexing to communicate, and promptly all users transmit and receive signal in identical time, similar frequency bands.The signal of each user's emission all can produce interference to other users, and promptly usually said multiple access disturbs.So the signal energy from nearer travelling carriage that the base station receives is flooded the signal from travelling carriage far away probably, produces so-called " near-far interference ".

The influence that the multiple access that produces disturbs because the multi-user communicates by letter simultaneously makes power control in the cdma system seem and is even more important.

Usually, the target of power control is that the signal power of each travelling carriage that the base station receives is equated, no matter and each travelling carriage is far and near to the distance of base station.This control method is similar to a lot of people when talking in the room, and the room is crowded, and the speech that everybody does not stop at the same time is so noise is increasing.At this moment, the talker has to improve volume in order to allow the other side not hear the sound of oneself., but increased the interference to other spokesmans when doing like this, other people also have to strengthen again and again volume in order to allow others catch oneself speech, and this will cause so-called power ramp phenomenon.So go down, the noise in the room will cause the collapse of whole communication system at last with increasing, and the people that the inside, room exchanges again can not continue to exchange.

Can find out visually that from above-mentioned example in cdma communication system, power is very valuable system resource, the quality of power control directly affects power system capacity.Can be by the transmitting power of each travelling carriage transmitter in the power regulating and controlling system, disturb the acceptable scope that maintains so that the power of expectation communication link remains on the signal quality and the multiple access of expectation in floor level, the simultaneity factor, thereby guarantee the capacity maximum of whole communication system.

In power control process, in order to control and the communication quality of monitoring wireless link, receiver need be measured the signal to noise ratio (snr) or the signal interference ratio (SIR) of received signal, and according to the transmitting power of measured value dynamic adjustments uplink and downlink corresponding transmitter.

In the closed power control procedure, the variation of control signal is with the foundation that is changed to of channel signal to noise ratio, and transmitter is constantly regulated transmitting power, is a certain constant with the measurement SIR that keeps the opposite end receiver.So, in realizing power control process, measure the accuracy of SIR and the quality that reaction speed will directly determine power control.

In the cdma system,, completely be considered as white noise from other users' signal and handle a certain travelling carriage, therefore, the increase of number of users is equivalent to the increase of noise power, the number of users of communicating by letter simultaneously in a certain sub-district, just capacity depends on to reaching the reception SIR of expectation channel quality.

Yet there is a problem in traditional sir measurement method, and promptly when waiting the received signal envelope that causes to worsen by decline, the accuracy of detection that receives desired signal power can descend.This is because when carrying out sir measurement, normally utilizes the pilot field of Dedicated Physical Control Channel (DPCCH), has adopted the mode of inserting pilot tone to determine received signal (promptly using pilot tone to carry out channel estimating).When the propagation path decline is big, will causes to receive between data symbol actual value and insertion value to exist, thereby cause certainty of measurement to decline to a great extent than large deviation.

And, when carrying out sir measurement, for the tolerance of interference power adopt be with desultory frequency pilot sign as a disposed of in its entirety, and be used for estimation to continuous received signal, this method of estimation itself also will cause the deterioration that interference power is measured, thereby cause the sir measurement precise decreasing.

Have the argumentation of patent now for the sir measurement method:

In the argumentation to power control, the method for measurement problem of the SIR that touches upon, but just speak of in general terms does not specify in the United States Patent (USP) 5566165, and Practical significance is little.

United States Patent (USP) 6028894 utilizes each current measured value of SIR the relativeness of last value to be revised the method for final measurement.This method also only is from the relativeness between adjacent two continuous measurement values sir measurement to be handled, and does not consider the concrete environment of practical communication system.

United States Patent (USP) 6032026 spoken of in rapid fading, disturb between standing or noise circumstance under, accurate sir measurement method.Wherein, the method that has mainly adopted multiple access to eliminate, keynote idea is based on the interference eliminated in the Multiuser Detection, and this method itself has certain advance, but implementation complexity is higher, and practical value is not high.

The sir measurement method that proposes in the United States Patent (USP) 6034952 has been spoken of the transfer function of the frequency pilot sign estimated signal propagation path that utilizes received signal, and the estimated value of transfer function is used for sir measurement.The method of discussing in the literary composition has certain reason, but does not wherein provide the concrete method of estimation of channel transfer functions, and operability is relatively poor.

Discussed the thought of the sir measurement value being carried out filtering in the United States Patent (USP) 6128494.But signal filtering coefficient is wherein fixed, so relatively poor to the adaptive capacity of channel circumstance.And, relevant in the literary composition discuss at process object be analog signal, for present advanced person's digital communication system, operability is relatively poor.

United States Patent (USP) 6292519 is mentioned a kind of on traditional sir measurement basis, the method that adopts the function of tabling look-up or negate to revise to the sir measurement result.This method only may be effective to a certain specific business or environment, and relatively poor to the adaptive capacity of actual reception machine hardware subsystem.

United States Patent (USP) 6330432 proposes the sir measurement control of method a kind of basis is carried out to(for) the estimation of Doppler bandwidth.Wherein, estimate the Doppler bandwidth according to correlation function.This method is relatively novel, but that the utilization correlation function is found the solution the method operand of Doppler bandwidth is bigger, and hard-wired complexity is higher.

Summary of the invention

Technical problem to be solved by this invention is traditional signal interference ratio (SIR) method of measurement to be improved and optimized.

The present invention at first receives from Rake and extracts pilot field information the processing unit, obtain the up-to-date information that channel circumstance changes by continuous detection wireless channel decline, then according to the signal filtering factor and the interference filter factor in the current channel fading degree dynamic adjustments signal-to-interference ratio measurement, the estimated value of calculation expectation signal and interference signal then, calculate signal interference ratio time slot measured value at last and it is carried out the statistical average processing in measuring period, the signal-to-interference ratio measurement value that obtains like this can reflect the reception noise level of complicated wireless channel environment more accurately, is power control, it is more credible that RRMs such as soft handover provide, effectively, full and accurate foundation.Technical problem to be solved by this invention is that the sir measurement module that is primarily aimed at receiving terminal is improved and optimized.The method of measurement that the present invention proposes both had been applicable to the sir measurement of portable terminal, also was applicable to the sir measurement of base station node B.

The present invention is for the dynamic optimization processing method of sir measurement module: 1) according to the given time slot format of agreement, receive the pilot field information of extracting data Dedicated Physical Control Channel (DPCCH) from Rake, to be used for sir measurement; 2) pilot signal that receives in the current time slots is carried out statistical average earlier, make square operation then, obtain desired signal power, that is: $\mathrm{Msig}\left(n\right)=\left\{\frac{1}{k}\right[\underset{i=1}{\overset{k}{\mathrm{\Σ}}}I\left(i\right)+\underset{i=1}{\overset{k}{\mathrm{\Σ}}}Q\left(i\right)]{\}}^2$

Wherein, I (i) and Q (i): be respectively the DPCCH frequency pilot sign that is used for sir measurement;

K: be the number of pilot symbols of current time slots;

Msig (n): be the desired signal power of current time slots.3) calculate the variance that current time slots receives pilot signal, be interfering signal power.Specifically, earlier the reception pilot signal in the time slot is carried out square operation exactly, the average treatment that takes statistics then deducts the desired signal power that obtains in the step 2, that is: again $\mathrm{Min}\left(n\right)=\frac{1}{k}\underset{i=1}{\overset{k}{\mathrm{\Σ}}}\left\{\right[I\left(i\right){]}^2+\left[Q\left(i\right){]}^2\right\}-\mathrm{Msig}\left(n\right)$ Wherein, I (i) and Q (i): be respectively the DPCCH frequency pilot sign that is used for sir measurement;

K: be the number of pilot symbols of current time slots;

Msig (n): be the desired signal power of current time slots;

Min (n): be the interfering signal power of current time slots.4) detect the decline degree of wireless channel environment according to Doppler (Doppler) frequency displacement of the velocity information of the measurement variance of SIR, travelling carriage or received signal.When the measurement variance (also can be the Doppler frequency displacement of the velocity information or the received signal of travelling carriage) of SIR is big, illustrate that the decline of channel circumstance is bigger; And when the measurement variance (also can be the Doppler frequency displacement of the velocity information or the received signal of travelling carriage) of SIR hour, illustrate that the decline of channel circumstance is less; 5) according to the continuous conditioning signal filtering factor of channel fading degree,, then reduce the signal filtering factor if promptly channel fading is bigger; If channel fading is less, then increase the signal filtering factor.Here the signal filtering of being carried out is based on the argumentation of information theory for random process, that is to say that the description itself for signal just should be a long process, so just the characteristic of possibility reflected signal.By fully utilizing the received signal information of a plurality of time slots, more science, reflected signal is as the statistical property of a random process accurately.6) constantly regulate the interference filter factor according to the channel fading degree, promptly when channel fading is big, then reduce the interference filter factor; And when channel fading hour, then increase the interference filter factor.Here the interference filter that is carried out is based on the argumentation of information theory for random process, that is to say that the description itself for interference signal also should be a long process, so just may reflect the characteristic of interference signal.By fully utilizing the received signal information of a plurality of time slots, more science, reflect the statistical property of interference signal accurately as a random process.7) desired signal power that adopts up-to-date signal filtering factor pair to calculate is carried out dynamic, variable autoregression filtering, obtains the estimated value of desired signal power, that is: Sig (n)=(1-α _Sig) Sig (n-1)+α _SigMsig (n) wherein, α _Sig: be the signal filtering factor;

Misg (n): be the desired signal power of current time slots;

Sig (n-1): be last time slot desired signal power through signal filtering;

Sig (n): be current time slots desired signal power through signal filtering.8) interfering signal power that adopts up-to-date interference filter factor pair to calculate carries out dynamic, variable autoregression filtering, obtains the estimated value of interfering signal power, that is: In (n)=(1-β _In) In (n-1)+β _InMin (n) wherein, β _In: be the interference filter factor;

Minn (n): be the interfering signal power of current time slots;

In (n-1): be last slot interfering signal of time power through interference filter;

In (n): be current time slots interfering signal power through interference filter.9) utilize the estimated value of detected desired signal power and the estimated value of interfering signal power, calculate the time slot measured value (unit: dB) of SIR, that is: sir=10*log (signal power (mw)/interference power (mw)=signal power (dBm)-interference power (dBm) 10) is according to measurement requirement, according to the measuring period of setting, each time slot measured value to SIR carries out statistical average, obtains the sir measurement value in measuring period.The present invention mainly contains following several for the detection method of wireless channel decline: 1) statistical variance according to SIR time slot measured value detects channel fading: if promptly the statistical variance of SIR time slot measured value is bigger, illustrate that then the decline of wireless channel is bigger; If the statistical variance of SIR time slot measured value is less, illustrate that then the decline of wireless channel is less.Adopt this evaluation method be because: in cdma system, multi-user's communication environment itself just is equivalent to white Gaussian noise channel (verified in the information theory), is that decline by channel circumstance produces so produce the main cause of SIR measured value statistical variance.If SIR statistical variance big (that is fluctuation is bigger) illustrates that then channel fading is bigger, this situation moves as low speed corresponding to portable terminal or is static relatively; And when sir measurement primary system meter variance less (it is less to fluctuate), illustrating that then channel fading is less, this situation is made high-speed mobile corresponding to portable terminal.2) detect mobile station speed information according to portable terminal velocity pick-up unit and detect channel fading:, illustrate that then the decline meeting of wireless channel is very big if promptly the speed of travelling carriage is higher; If the speed of travelling carriage is less, illustrate that then the decline meeting of wireless channel is very little.3) the Doppler frequency displacement according to received signal detects channel fading: if promptly the Doppler frequency displacement of received signal is bigger, illustrate that then the wireless channel decline is bigger; If the Doppler frequency displacement is less, illustrate that then the wireless channel decline is less.

The processing method that the present invention is adopted control thresholding (sir measurement statistical variance thresholding Varthred, mobile station speed thresholding Speedthreh, and Doppler frequency displacement thresholding Freqthreh) when detecting the channel fading degree:

1) self adaptation is upgraded the method for control thresholding continuously.At this moment, the adjusting of filtering factor is

Individual continuous process, that is as long as the setting of current filtering factor no longer reflect according to phase

The letter that pass information (SIR variance, velocity information, Doppler frequency displacement etc.) is detected

The road decline changes, and just will constantly adjust corresponding according to the control mode of predefined

Filtering factor.

2) discrete tabling look-up upgraded the method for control thresholding.At this moment, filtering factor be changed to from

The discontinuous value of loosing, that is according to relevant information (SIR variance, the speed of travelling carriage

Degree information, Doppler frequency displacement etc.) corresponding with the correspondence setting of each filtering factor

Filtering factor.

The measurement measurement period of SIR can be according to different measurement requirements set, in general have following two kinds: 1) short-term is measured: when sir measurement is used for power control, the short-term measurement can be used for closed power control, to produce through-put power control (TPC) bit words, the transmitting power of control opposite end transmitter; 2) the long-term measurement: the long-term measurement can be used for exterior ring power control, to adjust with reference to SIR, makes the signal quality that arrives the opposite end receiver satisfy the communication quality requirement of system's expectation, as, frame error rate (FER), Block Error Rate (BLER), perhaps error rate (BER) etc.

In the Wideband Code Division Multiple Access (WCDMA) 3-G (Generation Three mobile communication system), short-term measuring period, long-term measuring period was corresponding to 80ms corresponding to a time slot (being 10/15ms).

The present invention has done further improvement and optimization to traditional sir measurement method.Tradition sir measurement method is when waiting the received signal envelope that causes to worsen by decline, and the accuracy of detection that receives desired signal power can descend.And the method is the up-to-date information that obtains channel fading by the wireless channel environment of continuous detection of complex, and the filtering factor of dynamic adjustments sir measurement in view of the above, so that sir measurement adapts to the variation of complicated wireless channel environment as early as possible, for RRMs such as power control or soft handover provide science, effective foundation.

Description of drawings

Fig. 1 connects block diagram for receiving and processing device;

Fig. 2 is signal interference ratio (SIR) measurement mechanism;

Fig. 3 is for carrying out the filtering factor control flow that channel fading detects based on the velocity pick-up control unit;

Fig. 4 is for carrying out the filtering factor control flow that channel fading detects based on the Doppler frequency displacement.

Embodiment

1 implements environment

In the 3-G (Generation Three mobile communication system) involved in the present invention, in some sub-districts, base station, a plurality of portable terminals communicate simultaneously in similar frequency bands, identical time, the different spread spectrum code word of employing.Because arbitrary communication link all is to disturb for any other link, so the signal of nearly base station terminal emission floods the signal of base station terminal emission far away possibly, produce so-called near-far interference, and then affect the reception noise level of other communication links, restricting the capacity of whole system.

In order to guarantee power system capacity, carry out reliable multi-user communication, carrying out power control accurately is the indispensable functional unit of cdma system.And in power control process, the basic foundation of carrying out power control is to receive signal interference ratio (SIR), so the validity of sir measurement is directly determining the success or failure of power control.

2 sir measurement embodiment

Receiving and processing device shown in Figure 1 connects a series of handling processes that block diagram has been described receiving terminal on the whole, and the relevant treatment of doing for sir measurement.Receiver receive wireless signal earlier after 101 pairs of received RF signals of radio-frequency front-end are done suitably to handle, down-convert to intermediate-freuqncy signal through radio frequency/intermediate frequency converting unit 103, ensuing A/D converting unit 105 is a digital signal with analog signal conversion, receives 107 pairs of digital signals of receiving of processing unit by Rake then and carries out diversity reception.Close through the Rake diversity and to give the sir measurement unit and carry out sir measurement.In the sir measurement unit, extract the pilot field information that is used for sir measurement by Dedicated Physical Control Channel pilot frequency information extraction unit 109 earlier, detect desired signal power and interfering signal power respectively at desired signal power detecting unit 111 and interfering signal power danger measurement unit 123 then, send respectively again by signal filtering unit 113 and interference filter unit 121 and carry out Filtering Processing.Wherein, the filtering factor of signal filtering unit and interference filter unit is produced by the channel fading information Control filtering factor control unit 127 that channel fading unit 129 collects.Then, utilize filtered signal power and interference power to calculate the time slot measured value of SIR at SIR lead-out unit 115, that is:

Sir=10*log (signal power (mw)/interference power (mw))=signal power (dBm)-interference power (dBm) is last, carry out statistical average by statistical disposition unit 117 according to the timing relationship that measuring period, timing unit 125 was set, obtain expecting the sir measurement value in measuring period.

Provided more detailed sir measurement device at Fig. 2.The pilot field information of extracting after Rake receives processing is delivered to statistical average processing unit 203 and is carried out the statistical average of pilot frequency information in the time slot, after making square operation, squaring cell 205 obtains the power that current time slots receives pilot tone again, (be simplification device, the present invention has adopted the form of second-order filter to carry out autoregression filtering then.Certainly, also can be according to actual conditions, adopt other filtered version such as multistage filtering), that is to say, the signal filtering factor (being designated as Alpha) of utilizing signal filtering factor production unit 219 to produce is moved rate with signal filtering factors A lpha weighting to the reception pilot tone of current time slots on the one hand, on the other hand to the reception pilot power of previous time slot with the weighting of the 1-Alpha factor, in sum unit 211, the performance number after the weighting is carried out summation operation then and promptly obtain filtered desired signal power (unit: mw), carry out logarithm operation again in logarithm operation unit 213, obtaining with dBm is the desired signal power value of unit.As a same reason, the detection processing procedure of interfering signal power adopts with signal power detection processing procedure roughly the same, difference is: the current time slots interference power is to describe with the variance that receives pilot signal, promptly the received signal in 223 pairs of time slots of squaring cell is carried out square operation earlier, take statistics on average at statistical average processing unit 225, the desired signal power that deducts current time slots then in subtrator 227 is the interfering signal power of current time slots again.For the filtering of interference signal with roughly the same to the filtering of desired signal, difference is: the interference filter factor (being designated as Beta) is different with the value of the signal filtering factor (Alpha), promptly to the interfering signal power of current time slots with the Beta weighting, and to the interference power of last time slot with the 1-Beta weighting.At last, in subtrator 215, deduct the time slot measured value that filtered interference power promptly obtains SIR with filtered signal power.Control for filtering factor in the above process is according to the channel fading degree, promptly in channel fading detecting unit 201, pass through certain approach (with the sir measurement statistical variance, velocity information with travelling carriage, the perhaps Doppler frequency displacement of received signal) decline of detection wireless channel, then detected channel fading situation is delivered to signal filtering factor control unit 217 and interference filter factor control unit 235 according to certain control flow (as Fig. 3, or Fig. 4 shows) control signal filtering factor generation unit 219 and interference filter factor production unit 237 produce the signal filtering factor and the interference filter factor of adaptive channel environment, is respectively applied for the filtering that filtering that desired signal power estimates and interfering signal power are estimated.

The processing method of autoregression filtering has been adopted in detection for signal power and interference power shown in Figure 2, promptly to current time slot measured value with filtering factor (Alpha or Beta) weighting, and to last time slot measured value with forgetting factor (1-Alpha or 1-Beta) weighting, account for the proportion of final measurement by the current measured value of filtration combined weighted control, thereby determining the validity of current time slots measured value.If select less filtering factor, give less weighting to current measured value, and give big weighting last measured value, then can restrict the unexpected variation of current measured value, but it is longer slightly to measure the processing time accordingly; If select bigger filtering factor, give big weighting to current measured value, and give less weighting last measured value, then measuring processing delay can be smaller, but measurement result is easier to be subjected to the influence of channel circumstance.

Signal filtering factors A lpha among Fig. 2 and interference filter factor B eta determine according to the channel fading degree.Wherein, filtering factor Alpha, Beta can be set to different numerical value, as 0.5,0.25, and 0.125,0.0625 etc.But in order to reduce the complexity of corresponding Filtering Processing, can filtering factor Alpha, Beta be set to the form of 2 integral number power.

In the filtering factor control flow that carries out the channel fading detection based on the SIR statistical variance, at first, initializing signal filtering factor Alpha and interference filter factor B eta, the measurement period Count of sir measurement value is set, and in measurement period, calculate the variance Var of SIR, then statistical variance Var and predefined thresholding Varthreh are compared, and according to judged result adjusting filtering factor Alpha and Beta, promptly when the SIR variance is big, then reduce corresponding filtering factor, with adaptive channel variation as early as possible, improve tracking performance; And in the sir measurement variance hour, then increase corresponding filtering factor, to improve the response speed of sir measurement.

Fig. 3 is for carrying out the filtering factor control flow that channel fading detects based on the velocity pick-up control unit.At first, initializing signal filtering factor Alpha and interference filter factor B eta, gather the velocity information Speed of travelling carriage, then detected mobile station speed information Speed and predefined tolerance limit Speedthreh are compared, and according to judged result adjusting filtering factor, if promptly mobile station speed Speed illustrates then that greater than default thresholding Speedthreh channel fading is bigger, should reduce filtering factor Alpha and Beta, to improve the tracking performance of sir measurement unit; If mobile station speed Speed illustrates then that less than default thresholding Speedthreh channel fading is less, should increase filtering factor Alpha and Beta, to improve the response speed of sir measurement unit.

Fig. 4 is for carrying out the filtering factor control flow that channel fading detects based on the Doppler frequency displacement.At first, initializing signal filtering factor Alpha and interference filter factor B eta, detect the Doppler frequency displacement Frequnce of received signal, then detected received signal frequency displacement information Frequnce and predefined tolerance limit FreqThreh are compared, and according to judged result adjusting filtering factor, if promptly frequency displacement Frequnce illustrates then that greater than default thresholding FreqThreh channel fading is bigger, should reduce filtering factor Alpha and Beta, to improve the tracking performance of sir measurement unit; If frequency displacement Frequnce illustrates then that less than default thresholding Freqthreh channel fading is less, should increase filtering factor Alpha and Beta, to improve the response speed of sir measurement unit.

Detect the used control thresholding of channel fading (the thresholding Speedthreh among thresholding Varthred, Fig. 3 among Fig. 2, and the thresholding Freqthreh among Fig. 4), can adopt following processing mode:

1) self adaptation is upgraded the method for control thresholding continuously.At this moment, the adjusting of filtering factor is a continuous process, that is, just will constantly adjust corresponding filtering factor according to the control mode of predefined as long as the setting of current filtering factor no longer reflects the channel fading that is detected according to relevant information (SIR variance, velocity information, Doppler frequency displacement etc.) to be changed.

2) discrete tabling look-up upgraded the method for control thresholding.At this moment, filtering factor be changed to discrete discontinuous value, that is according to the relevant information (SIR variance, velocity information, Doppler frequency displacement etc.) of travelling carriage and the corresponding filtering factor of correspondence setting of each filtering factor.

Need to prove:

Measuring delay (promptly measuring reaction speed) and certainty of measurement is a pair of implacable contradiction, that is to say in order to reach higher certainty of measurement, and must be cost just to sacrifice the measurement delay; And in order to reduce to measure processing delay, and must with the loss of certainty of measurement cost.One relatively the method for compromise be, improve certainty of measurement satisfy measuring under the prerequisite of delay tolerance as far as possible, certainly, also can adopt different processing priority according to real system for certainty of measurement with measure the urgent degree of delay requirement.

Claims (9)

1, a kind of signal-to-interference ratio measurement dynamic optimization method is characterized in that, may further comprise the steps: 1) according to the certain format information extraction; 2) signal power of the described extraction signal of calculating; 3) the decline degree of detection wireless channel environment; 4) according to detected current channel fading degree, dynamic adjustments filtering factor; 5) adopt through overregulate filtering factor described signal power is carried out filtering, obtain its estimated value; 6) utilize the estimated value of the described signal power obtain, calculate the time slot measured value of signal interference ratio; 7) according to the measuring period of setting, the time slot measured value of above-mentioned signal interference ratio is carried out statistical average, obtain the measured value of the signal interference ratio in measuring period.

2, according to the described method of claim 1, it is characterized in that, the decline degree of described detection wireless channel environment may further comprise the steps: based on measurement variance or the velocity information of travelling carriage or the Doppler frequency shift of received signal of SIR, the decline degree of described wireless channel environment is detected.

3, method according to claim 2 is characterized in that, the signal power of the described extraction signal of described calculating may further comprise the steps: 2.1) pilot signal that receives in the current time slots is carried out statistical average; 2.2) statistics is done square operation, obtain desired signal power; 2.3) calculate the variance that receives pilot signal in the current time slots, obtain interfering signal power.

4, method according to claim 2, it is characterized in that, described according to detected current channel fading degree, dynamic adjustments filtering factor (4) may further comprise the steps: if detected channel fading is bigger, then reduce the signal filtering factor and the interference filter factor, otherwise increase the signal filtering factor and the interference filter factor.

5, method according to claim 2, it is characterized in that, described employing through overregulate filtering factor described signal power is carried out filtering, obtaining its estimated value (5) may further comprise the steps: the 5.1) adjusting of filtering factor being carried out according to channel fading degree signal, select suitable desired signal filtering factor and interference signal filtering factor; 5.2) adopt up-to-date desired signal filtering factor and interference signal filtering factor, respectively desired signal power and the interfering signal power that calculates carried out filtering.

6, a kind of device of signal-to-interference ratio measurement dynamic optimization is characterized in that, comprising: the extraction unit (109) that extracts the pilot field signal according to certain time slot format; According to the output difference calculation expectation signal power of extraction unit and desired signal power unit (111) and interfering signal power unit (123) of interfering signal power; The Channel Detection unit of filtering factor being regulated according to channel fading degree signal; Adopt the up-to-date signal filtering factor, respectively described signal power unit (111,123) output signal is carried out signal filtering unit (113) and interference filter unit (121) of filtering; According to the signal and the interference power estimated value of described filter unit output, calculate the data lead-out unit of the time slot measured value of signal interference ratio; And to the statistical disposition unit of the signal-to-interference ratio measurement value in measuring period.

7, according to the device of the described signal-to-interference ratio measurement dynamic optimization of claim 6, it is characterized in that, described signal filtering unit (113) comprises signal filtering factors A lpha generation unit (217), and described interference filter unit (121) comprises interference filter factor B eta generation unit (233).

8, according to the device of the described signal-to-interference ratio measurement dynamic optimization of claim 6, it is characterized in that described signal filtering unit (113) comprises delay cell (205) that last time slot is postponed, described delay cell (205) output delay signal is carried out the multiplier (207) of 1-signal filtering factors A ppha weighting and the current time slots signal is carried out the multiplier (219) of signal filtering factors A ppha weighting and the adder (209) that described two multipliers (207,219) output is sued for peace.

9, according to the device of the described signal-to-interference ratio measurement dynamic optimization of claim 6, it is characterized in that described interference filter unit (121) also comprises delay cell (227) that last time slot is postponed, described delay cell (227) output delay signal is carried out the multiplier (229) of 1-signal filtering factor B eta weighting and the current time slots signal is carried out the multiplier (235) of signal filtering factor B eta weighting and the adder (235) that described two multipliers (229,235) output is sued for peace.

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