CN1870475B - Channel measuring method based on horizontal space adaptive wave filter - Google Patents
Channel measuring method based on horizontal space adaptive wave filter Download PDFInfo
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Abstract
This invention relates to a channel measurement method based on a lateral interval adaptive filter including: A, utilizing a first lateral interval adaptive filter to test the channel quality value oft+2 at the first preset time t, B, utilizing a second lateral interval adaptive filter to measure the channel quality value of t+3 at the t+1 time, C, the first and the second filters measure the channel quality values of the t+2n and t+2n+1 in turn, which tests different time delay frames and applies different numbers of lateral interval filters to test the channel performance in turn so as to let it have better smooth function in the middle and high speed moving environments.
Description
Technical field
The present invention relates to the channel measuring method of mobile communication technology, in particular, particularly relate to a kind of channel measuring method based on horizontal space adaptive wave filter.
Background technology
Present protocol version (Rlease 5) regulation, in the HSDPA of TD-SCDMA system, UE receives the data last moment and its transmitting channel quality information needs 9 times more than the timeslot number at interval to minimum between the moment of network terminal.Such regulation mainly is to consider delaying of terminal processes data except TD-SCDMA frame structure reason.
At the high-speed mobile channel, because the influence of Doppler and multipath, channel variation is very fast, owing to delay to cause channel quality and the UE transmitting channel quality information of measuring the moment bigger difference to be arranged to network terminal channel quality constantly, as at the ITU-VA30 channel, delay 10ms and can cause channel quality SINR to differ 3-4dB, this loss of throughput that can cause the HSDPA link is more than 30%.
As shown in Figure 1, be interval 10ms time delay on the VA30 channel and no time delay throughput simulation performance schematic diagram relatively.On the ITU-VA30 of TD-SCDMA system channel, theoretical peak-peak is that the throughput emulation of HSDPA link when nothing is delayed and delay 10ms of 1400k bits/s is compared.From Fig. 1 as can be seen because the existence of delaying can cause systematic function sharply to descend.
The influence that how to reduce to delay systematic function is the difficult problem that moving communicating field is being made great efforts solution always.At present, in relevant document, propose to adopt the cross measure sef-adapting filter to come the measured channel condition, described horizontal space adaptive wave filter has multiple, as Kalman's sef-adapting filter, recurrence least square sef-adapting filter and minimum-mean square error filters (LMS, Least mean square) etc.Considering characteristics such as the realization of LMS filter is simple, and amount of calculation is low, is that example describes to adopt the LMS filter below.See Fig. 2 and shown in Figure 3 for details, described Fig. 2 is the schematic diagram of the Frame moment sequence of terminal use's reception; Fig. 3 is the principle schematic of minimum-mean square error filters.Reduce because the gap of delaying causing by measured channel.Its implementation procedure is as described below:
Suppose that at first measured value and delivery time differ 2 frames (10ms), when terminal measures the channel condition in the t moment, can measure t+2 channel quality constantly according to the channel condition information before this moment.
In transversal filter, be located at channel quality SINR value u (t) expression that t measures constantly, then there is the transversal filter of M tap to be input as u (t), u (t-1), ...., u (t-M+1), Zhang Chengyi hyperspace of these inputs (with φ (t) expression) then measured t+2 channel quality value constantly and used
Expression.The tap weight value of sef-adapting filter is used
Expression.Minimum-mean square error filters as shown in Figure 3.Tap weight value is adjusted by the poor e (t+2) of measured value and desired value, adjusted tap weight value after, with input value u (t), u (t-1), u (t-2) and the u (t-3) and the tap weight value of filter
Carry out linear operation, and with the t+2 of computing gained channel measured value constantly
Output.Equally, for t+3 constantly, can be by being input as u (t+1), u (t) ...., u (t-M+2), and adjust tap weight value after upgrading
With the input value u (t+1) of filter, u (t) ...., u (t-M+2) carries out linear operation and measures.
According to the stall condition of setting, t+2 desired value constantly should obtain constantly at t+4, and like this, the weights adjustment of tap will postpone, can not be used for measuring t+3 channel quality constantly.But for the convenience of studying, we suppose that still this value can in time obtain to be used to measure t+3 channel quality constantly in t+2 desired value constantly.
As the above analysis, two step LMS measurement performance of filters (as at the ITU-PA3 channel) under the low speed mobile channel can effectively improve systematic function under the described continuous measurement of employing Fig. 2, and under high-speed moving state, can reduce throughput on the contrary, the throughput that filter obtains is also low than measuring.Because in the low speed mobile status, the channel variation of every frame is slower, the correlation of interframe data is big, therefore adopts the measured value and the actual value in two steps under the continuous measurement approaching, can improve systematic function.And under high-speed moving state, because channel variation is fast, the correlation of interframe data is little, and t has bigger variation with t+1 value constantly constantly.And in Fig. 3, tap weight value is to use
Adjust with the difference of measuring desired value.Therefore when measuring the value in the t+3 moment, adjusted tap weight value coefficient and t+1 measured value correlation constantly are little, cause t+3 measured value error constantly big.By that analogy, the error of measured value affects greatly the HSDPA throughput.
Summary of the invention
The technical problem that the present invention solves provides a kind of channel measuring method based on sef-adapting filter, described method is taken turns the quality of measured channel by horizontal space adaptive wave filter, solve in the prior art under high-speed moving state the accurately problem of measure channel quality, thereby time delay is to the influence that causes of system under the reduction high-speed mobile environment.
For addressing the above problem, the invention provides a kind of channel measuring method based on horizontal space adaptive wave filter, described horizontal space adaptive wave filter is made up of the horizontal sef-adapting filter of two interval values, comprises step:
A, utilize first horizontal space adaptive wave filter to measure the channel quality value of t+2 constantly at the first predetermined instant t;
B, the constantly t+1 utilize second horizontal space adaptive wave filter to measure the channel quality value of t+3 constantly;
The channel quality value of C, described first horizontal space adaptive wave filter and second horizontal space adaptive wave filter wheel flow measurement moment t+2n and t+2n+1.
Described steps A specifically comprises:
Adjust the tap weight value of first horizontal space adaptive wave filter according to default tap signal difference e ' (t) at the first predetermined instant t;
The adjustment result of described tap weight value and the input value of first horizontal space adaptive wave filter are carried out obtaining the channel quality measurements of t+2 constantly after the linear operation.
Described tap signal difference e ' (t) is to measure the channel measured value of t constantly according to moment t-2 to calculate with the difference of the channel desired value of t constantly.
Described moment t-2 measure the channel measured value of t constantly be according to moment t and before even number channel quality value constantly measure as the input value of filter.
The formula of the tap weight value of described adjustment first horizontal space adaptive wave filter is:
ω′(t)＝ω(t-2)+μ(t)e′(t)U(t)
Wherein, ω (t-2) is the tap weight value of first horizontal space adaptive wave filter at moment t-2, and μ (t) is the adjustment step-length of least mean-square error LMS filter, and U (t) is the input value of the moment t first horizontal space adaptive wave filter tap.
The desirable constant of described μ (t) value or with the relevant functional value of input vector U (t).
The channel measured value of moment t+2 satisfies equation after the described linear operation:
Wherein, described ω ' is the tap vector of first horizontal space adaptive wave filter (t), and described U (t) is the input value of the moment t first horizontal space adaptive wave filter tap.
Described step B specifically comprises step:
" (t+1) tap weight value of adjustment second horizontal space adaptive wave filter in the default tap signal difference e of moment t+1 basis;
The adjustment result of described tap weight value and the input value of second horizontal space adaptive wave filter are carried out obtaining the channel quality measurements of t+3 constantly after the linear operation.
Described tap signal difference e " is to measure the channel measured value of t+1 constantly according to moment t-1 to calculate with the difference of the channel desired value of t+1 constantly (t+1).
Described moment t-1 measure the channel measured value of t+1 constantly be according to moment t+1 and before odd number channel quality value constantly measure as the input value of filter.
The formula of the tap weight value of described adjustment second horizontal space adaptive wave filter is: ω " (t+1)=ω (t-1)+μ (t+1) e " is U (t+1) (t+1)
Wherein, ω (t-1) is the tap weight value of second horizontal space adaptive wave filter at moment t-1, and μ (t+1) is the adjustment step-length of LMS filter, and U (t+1) is the input value of the moment t+1 second horizontal space adaptive wave filter tap.
The desirable constant of described μ (t+1) value or with the relevant functional value of input vector U (t+1).
The measured channel value of moment t+3 satisfies equation after the described linear operation:
Wherein, " (t+1) be second horizontal space adaptive wave filter tap vector, described U (t+1) is second horizontal space adaptive wave filter input value of t+1 tap constantly to described ω.
The described first predetermined instant t is the moment of actual reception to channel quality value.
Compared with prior art, the present invention has following beneficial effect: the present invention comes the performance of measured channel in turn by different measurement time delay frame numbers and the horizontal space adaptive wave filter that adopts different numbers, make horizontal space adaptive wave filter in middle and high speed mobile environment, have better smoothing function, and be reduced under the high-speed mobile environment time delay, thereby improve the throughput and the band efficiency of system to the influence that causes of system; The present invention can also have the effect of measured channel under low speed environments.Therefore, the method of measurement of channel quality of the present invention not only can reduce to a certain extent because time delay loss that system is caused, improves the performance of system, and it is low also to have a computation complexity, being easy to characteristics such as realization, is a kind of optimization channel measuring method of practicality.
Description of drawings
Fig. 1 be in the prior art on the VA30 channel schematic diagram of 10ms time delay and the comparison of no time delay throughput simulation performance at interval;
Fig. 2 is the Frame moment sequence schematic diagram that the terminal use receives in the prior art;
Fig. 3 is the principle schematic of minimum-mean square error filters in the prior art;
Fig. 4 adopts the flow chart of the channel measuring method of horizontal space adaptive wave filter for the present invention;
Fig. 4 A utilizes first horizontal space adaptive wave filter to measure the flow chart of the channel quality value of t+2 constantly for the present invention at moment t;
Fig. 4 B utilizes second horizontal space adaptive wave filter to measure the flow chart of the channel quality value of t+3 constantly for the present invention at moment t+1;
Fig. 5 is the performance schematic diagram relatively of various schemes under the low speed mobile channel (such as the ITU-PA3 channel);
Fig. 6 A is HSDPA link performance schematic diagram relatively after middling speed mobile channel (ITU-VA30) adopts 4 kinds of processing methods described in Fig. 6 down;
Fig. 6 B is HSDPA link performance schematic diagram relatively after high-speed mobile channel (ITU-VA120) adopts 4 kinds of processing methods described in Fig. 6 down.
Embodiment
In cell mobile communication systems, wireless channel is a multipath time varying channel (comprising the variation of propagation loss, rapid fading, slow fading and interference etc.), thereby the quality of received signal also is a variations per hour that is subjected to the channel condition influence.In order to improve systematic function, become influence when overcoming channel to systematic function, can adopt link adaptation techniques.
At present, in the wireless communication system, link adaptation techniques mainly adopts two kinds of working methods, and mode one is the power adaptive mode, and transmitting terminal changes the variation that the through-put power that sends data is come the adaptive channel condition; Mode two is adaptive coding and modulating AMC modes, and transmitting terminal is by the transmission code rate and the modulation system of change data, and then adaptive channel changes.
Described AMC technology is the key technology of decision HSDPA performance, and how Node B accurately obtains the key factor that the transmitting channel conditional information becomes the decision systems performance.Generally, the measured channel information that Node B provides according to UE (as send suggestion transmission block size to Node B), and the situation of self channel resource, send power control information that packet scheduling algorithm, DPCH channel provide and the ACK/NACK information of replying of UE feedback decides object UE, transformat MCS and the transmission block size that sends data, wherein, the channel condition information that provides of UE is a main determining factor.
Particularly in the HSDPA of TD-SCDMA system, UE receives the data last moment and its transmitting channel quality information needs 9 times more than the timeslot number at interval to minimum between the moment of network terminal, in order to reduce the influence that time delay causes system, the invention provides a kind of channel measuring method that adopts horizontal space adaptive wave filter, by the interval value, make channel measuring method of the present invention in, has better smoothing function in the high-speed mobile environment, and be reduced under the high-speed mobile environment time delay, thereby improve the throughput and the band efficiency of system to the influence that causes of system; In addition, the present invention can also have the effect of measured channel under low speed environments.
The present invention is described further in conjunction with the accompanying drawings for following mask body.
See also Fig. 4, Fig. 4 A and Fig. 4 B, be respectively the present invention and adopt the flow chart of the channel measuring method of horizontal space adaptive wave filter, the present invention to utilize second horizontal space adaptive wave filter to measure the flow chart of the channel quality value of t+3 constantly at moment t+1 in flow chart and the present invention that moment t utilizes first horizontal space adaptive wave filter to measure the channel quality value of moment t+2.
The channel measuring method of described employing horizontal space adaptive wave filter comprises:
Step 10: utilize first horizontal space adaptive wave filter to measure the channel quality value of t+2 constantly at the first predetermined instant t;
Step 11: utilize second horizontal space adaptive wave filter to measure the channel quality value of t+3 constantly at moment t+1;
Step 12: the channel quality value of described first horizontal space adaptive wave filter and second horizontal space adaptive wave filter wheel flow measurement moment t+2n and t+2n+1.
Described step S10 specifically comprises (shown in Fig. 4 A):
Step 100: the tap weight value of adjusting first horizontal space adaptive wave filter at the first predetermined instant t according to default tap signal difference e ' (t);
Step 101: the adjustment result of described tap weight value and the input value of first horizontal space adaptive wave filter are carried out obtaining the channel quality measurements of t+2 constantly after the linear operation.
Described step 11 specifically comprises (shown in Fig. 4 B):
Step 110: " (t+1) tap weight value of adjustment second horizontal space adaptive wave filter in the default tap signal difference e of moment t+1 basis;
Step 111: the adjustment result of described tap weight value and the input value of second horizontal space adaptive wave filter are carried out obtaining the channel quality measurements of t+3 constantly after the linear operation.
Wherein, the flow chart of the concrete steps of described step S10 and step S12 sees Fig. 4 A and Fig. 4 B for details.
At first, for convenience of description, the present invention is that example describes with the minimum-mean square error filters of Fig. 3 still, promptly receives t data constantly, measures the data that differ 2 frames (t+2 constantly).In order to measure t+2 data constantly, be provided with first horizontal space adaptive wave filter of M tap, input is respectively u (t), u (t-2), ...., u (t-2M+2) is promptly with the interval value, Zhang Chengyi hyperspace of these inputs ((2t) representing with φ ') then measured t+2 channel quality value constantly and used
Expression.
When user equipment (UE) is in t+2 during the moment, will measure resultant
Send to network terminal as t+2 moment channel quality value.And pass through measured value
Adjust the tap weight value of first horizontal space adaptive wave filter with the difference e of the constantly true expectation numerical value of t+2 ' (t+2)
Described e ' is the poor of measured value and measured value (t+2), in present specification measured value as desired value, modulate the tap weight value of horizontal space adaptive wave filter by both differences.
In like manner, the present invention establishes the second horizontal sef-adapting filter that has another M tap, at t+1 constantly, the user is with importing u (t+1), u (t-1) ...., the DATA REASONING of u (t-2M+3) is somebody's turn to do channel quality constantly, Zhang Chengyi hyperspace of these inputs (with φ " (2t) expression), then measure t+3 channel quality value constantly and use
Expression.
When UE during the moment, will measure the value of gained at t+3
Send to network terminal as t+3 moment channel quality.And use constantly in the back
The poor e that expects numerical value with t+3 constantly " (t+3) adjusts the corresponding tap weight value of input data
Channel measuring method with four tap LMS filters is that example describes below.The system of setting up departments measures t channel quality value u (t) constantly, adopts first horizontal space adaptive wave filter to measure t+2 channel quality constantly.Implementation step comprises:
M0: according to t constantly and before t-2, t-4 and t-6 channel value u (t), u (t-2), u (t-4) and u (t-6) constantly as the input value of filter.
M1: will measure t channel measured value constantly constantly at t-2
Subtract each other with u (t), obtain difference e ' (t).
M2: according to e ' (t) to the tap weight value of LMS filter
Adjust;
M3: after having adjusted tap weight value, with input value u (t), u (t-2), u (t-4) and the u (t-6) and the tap weight value of filter
Carry out linear operation;
M4: the t+2 moment channel measured value that will calculate gained
Output.
In above-mentioned steps M2, described according to e ' (t) to the tap weight value of first horizontal space adaptive wave filter
Adjust, its adjustment process is:
If the tap crack number of first horizontal space adaptive wave filter is
Be that the tap vector is
The input value in t M tap constantly of first horizontal space adaptive wave filter is u (t) ..., u (t-M+1), promptly input vector is
U(t)＝[u(t)，u(t-1)，...，u(t-M+1)]
T。(2)
Tap signal difference e ' (t) is that t-2 measures the channel measured value of t constantly constantly
Poor with the channel desired value u (t) of moment t, promptly
The e ' that is obtained according to equation 3 (t) can adjust the tap value
ω′(t)＝ω(t-2)+μ(t)e′(t)U(t)。(4)
Wherein, μ (t) is the adjustment step-length of this LMS filter.According to different LMS algorithms, the desirable constant of μ (t) value or with the relevant functional value of input vector U (t).
Therefore, adjusted tap weight value after, with input value u (t), u (t-2), u (t-4) and the u (t-6) and the tap weight value of filter
Carry out linear operation (step M3), the process of its linear operation is:
If first horizontal space adaptive wave filter at t measured value constantly is
Then this value satisfies equation
Wherein, vector ω ' (t) and U (t) satisfy above-mentioned equation (1) and (2) respectively.
Can get t+2 channel measured value constantly by aforementioned calculation
Equally, according to the channel quality value that moment t+1 measures, we can adopt second lateral separation filter measurement t+3 channel quality value constantly.Concrete steps are the input parameter value difference of filter as mentioned above, here repeat no more.When measuring constantly channel quality of t+4, use first horizontal space adaptive wave filter again, overlapping so repeatedly, and reach the purpose of measure channel quality.
For measuring the channel quality of two frames down, can adopt horizontal space adaptive wave filter of the present invention, promptly adopt the first and second two modes that horizontal space adaptive wave filter is measured in turn, be input as the data of value at interval.For other situations, if measure the channel quality of three frames down, the mode that then adopts three horizontal space adaptive wave filters to measure in turn.By that analogy.Can be along with the increase of space-number, also gradually the decline of the correlation of interframe data, the tap number of corresponding horizontal space adaptive wave filter also will reduce, and this can have influence on the performance of horizontal space adaptive wave filter.But according to the operating position of present terminal equipment, the data processing time of delaying two frames (10ms) is enough.
Studies show that no matter the lateral separation filter can improve the throughput of system under low speed still is the high speed channel condition, particularly under middle and high fast environment, the system of raising is particularly evident.
Also please refer to Fig. 5, be the performance schematic diagram relatively of various schemes under the low speed mobile channel (such as the ITU-PA3 channel).At the low speed mobile channel, though the measurement performance of horizontal space adaptive wave filter is better than the performance when not having the continuous measurement filter not as existing continuous measurement filter.By as can be known shown in Figure 5, the tap number M of described filter is 4, under the ITU-PA3 channel, the continuous measurement filter is better than the performance of horizontal space adaptive wave filter of the present invention, and the performance of horizontal space adaptive wave filter is better than the directly mode of feedback of filter of measuring that do not adopt.This is because under low speed environments, filter mainly plays a part measurement, because the correlation between the input data of continuous measurement filter is better than horizontal space adaptive wave filter, so its measurement performance is better, though and horizontal space adaptive wave filter input correlation of data is good not as the continuous measurement filter, but still play certain measurement effect, so performance is better than the link of not measuring filter.
Described Fig. 5 has also compared the performance of system under the data smoothing processing method simultaneously.Described data smoothing processing is meant and in a sliding time window all reception data is averaged processing.And with it respectively as next channel information of reported by user equipment UE constantly.Simulation result from figure, under low speed mobile channel (such as the ITU-PA3 channel), this smoothing processing is not owing to have measurement function so poor-performing.
And increasing along with the UE translational speed, channel variation is also accelerated, the measurement performance of existing continuous measurement filter has not caught up with the variation of channel, because, in the low speed mobile status, the channel variation of every frame is slower, and the correlation of interframe data is big, therefore adopt the measured value and the actual value in two steps under the continuous measurement approaching, can improve systematic function.And under high-speed moving state, because channel variation is fast, the correlation of interframe data is little, and t has bigger variation with t+1 value constantly constantly.And in the prior art, tap weight value is to use
Adjust with the difference of measuring desired value.Therefore, when measuring the value in the t+3 moment, adjusted tap weight value coefficient and t+1 measured value correlation constantly are little, cause t+3 measured value error constantly big.By that analogy, the error of measured value causes bigger influence to the throughput of high-speed downlink packet access HSDPA.This shows, existing continuous measurement filter can damage systematic function in middle and high fast channel circumstance, and the present invention adopt the lateral separation measure filter under the high translational speed environment, can obtain better throughput of system, thereby improve the performance of system.Shown in Fig. 6 A, 6B.Described Fig. 6 A, 6B are respectively HSDPA link performance schematic diagrames relatively after adopting 4 kinds of processing methods described in Fig. 5 under middling speed mobile channel (ITU-VA30) and the high-speed mobile channel (ITU-VA120).
By Fig. 6 A, 6B simulation result as can be known, under IA High Speed Channel, adopt the performance of horizontal space adaptive wave filter of the present invention to be better than the continuous measurement filter of prior art and without the situation of filter.At this moment, the data that horizontal space adaptive wave filter mainly plays the front are weighted average treatment and smoothing processing effect thereof, and the measurement effect is withdrawn to next, but compares the performance of horizontal space adaptive wave filter and data smoothing processing method, and both are very approaching.
In addition, from algorithm complex, the computation complexity of horizontal space adaptive wave filter is identical with the continuous measurement filter of same tap number, but, consider that horizontal space adaptive wave filter needs more memory space to be used for tap coefficient, during such as two horizontal space adaptive wave filters of employing, its memory space is the twice of continuous measurement filter.Because horizontal space adaptive wave filter has better smoothing processing performance in middle and high fast mobile environment, as shown in Fig. 6 A, 6B, the performance of 4 tap horizontal space adaptive wave filters is better than the continuous measurement performance of filter of 8 taps, therefore, horizontal space adaptive wave filter can obtain preferable performance under the lower situation of computation complexity.Because in linear adaptive filter, the complexity of calculating is directly proportional with the number of tap, and tap number is many more, and amount of calculation is just big more.
By above-mentioned analysis result as can be known, horizontal space adaptive wave filter has channel measurement in the low speed mobile environment and the two kinds of functions of data smoothing in the middle and high fast mobile environment, therefore can improve the performance of system in various environment.Particularly in HSDPA, adopt the lateral separation to measure sef-adapting filter and come the measured channel performance.Because measuring sef-adapting filter, the lateral separation in the channel circumstance of middle and high translational speed, has better smoothing function, and the effect that under low speed environments, has measured channel.In addition, the present invention can also be according to different measurement time delay frame numbers, the method that adopts different number horizontal space adaptive wave filters to measure in turn adopts this new signal processing method can reduce the influence that time delay causes systematic function in the middle and high fast mobile environment.And the continuous measurement filter only can improve the performance of system under the low speed mobile channel, then can reduce the throughput of system in middle and high fast channel circumstance.Then the situation with the continuous measurement filter is just in time opposite for direct employing data smoothing processing method for horizontal space adaptive wave filter of the present invention.This shows that horizontal space adaptive wave filter is compromise to both, can improve the performance of system to a certain extent.
The present invention proposes a kind of effective channel measuring method, this method is applied to throughput and the band efficiency that the HSDPA link can improve system.Owing to also do not find a kind of simple effective method for the performance loss that time delay caused between measuring and sending at present, and this method not only can reduce this loss to a certain extent, and it is low to have computation complexity, is easy to characteristics such as realization, is a kind of optimization method of practicality.
The above only is a preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (14)
1. channel measuring method based on horizontal space adaptive wave filter, described horizontal space adaptive wave filter by two at interval the horizontal sef-adapting filter of values form, it is characterized in that, comprise step:
A, utilize first horizontal space adaptive wave filter to measure the channel quality value of t+2 constantly at the first predetermined instant t;
B, utilize second horizontal space adaptive wave filter to measure the channel quality value of t+3 constantly at moment t+1;
The channel quality value of C, described first horizontal space adaptive wave filter and second horizontal space adaptive wave filter wheel flow measurement moment t+2n and t+2n+1.
2. according to the described channel measuring method of claim 1, it is characterized in that described steps A specifically comprises based on horizontal space adaptive wave filter:
21) adjust the tap weight value of first horizontal space adaptive wave filter according to default tap signal difference e ' (t) at the first predetermined instant t;
22) the adjustment result of described tap weight value and the input value of first horizontal space adaptive wave filter are carried out obtaining the channel quality measurements of t+2 constantly after the linear operation.
3. according to the described channel measuring method of claim 2 based on horizontal space adaptive wave filter, it is characterized in that step 21) described in tap signal difference e ' (t) be to measure the channel measured value of t constantly according to moment t-2 to calculate with the difference of the channel desired value of t constantly.
4. according to the described channel measuring method of claim 3 based on horizontal space adaptive wave filter, it is characterized in that, described moment t-2 measure the channel measured value of t constantly be according to moment t and before even number channel quality value constantly measure as the input value of filter.
5. according to the described channel measuring method of claim 2, it is characterized in that the formula of the tap weight value of described adjustment first horizontal space adaptive wave filter is based on horizontal space adaptive wave filter:
ω′(t)＝ω(t-2)+μ(t)e′(t)U(t)
Wherein, ω (t-2) is the tap weight value of first horizontal space adaptive wave filter at moment t-2, and μ (t) is the adjustment step-length of least mean-square error LMS filter, and U (t) is the input value of the moment t first horizontal space adaptive wave filter tap.
6. according to the described channel measuring method of claim 5, it is characterized in that based on horizontal space adaptive wave filter, the desirable constant of described μ (t) value or with the relevant functional value of input vector U (t).
7. according to the described channel measuring method of claim 2, it is characterized in that step 22 based on horizontal space adaptive wave filter) described in after the linear operation constantly the channel measured value of t+2 satisfy equation:
Wherein, described ω ' is the tap vector of first horizontal space adaptive wave filter (t), and described U (t) is the input value of the moment t first horizontal space adaptive wave filter tap.
8. according to the described channel measuring method of claim 1, it is characterized in that described step B specifically comprises step based on horizontal space adaptive wave filter:
81) " (t+1) tap weight value of adjustment second horizontal space adaptive wave filter in the default tap signal difference e of moment t+1 basis;
82) the adjustment result of described tap weight value and the input value of second horizontal space adaptive wave filter are carried out obtaining the channel quality measurements of t+3 constantly after the linear operation.
9. described according to Claim 8 channel measuring method based on horizontal space adaptive wave filter, it is characterized in that step 81) described in the tap signal difference e " be to measure the channel measured value of t+1 constantly according to moment t-1 to calculate (t+1) with the difference of the channel desired value of t+1 constantly.
10. according to the described channel measuring method of claim 9 based on horizontal space adaptive wave filter, it is characterized in that, described moment t-1 measure the channel measured value of t+1 constantly be according to moment t+1 and before odd number channel quality value constantly measure as the input value of filter.
11., it is characterized in that the formula of the tap weight value of described adjustment second horizontal space adaptive wave filter is according to the described channel measuring method of claim 10 based on horizontal space adaptive wave filter:
ω″(t+1)＝ω(t-1)+μ(t+1)e″(t+1)U(t+1)
Wherein, ω (t-1) is the tap weight value of second horizontal space adaptive wave filter at moment t-1, and μ (t+1) is the adjustment step-length of LMS filter, and U (t+1) is the input value of the moment t+1 second horizontal space adaptive wave filter tap.
12. according to the described channel measuring method of claim 11, it is characterized in that based on horizontal space adaptive wave filter, the desirable constant of described μ (t+1) value or with the relevant functional value of input vector U (t+1).
13., it is characterized in that the measured channel value of moment t+3 satisfies equation after the described linear operation according to the described channel measuring method of claim 11 based on horizontal space adaptive wave filter:
Wherein, " (t+1) be second horizontal space adaptive wave filter tap vector, described U (t+1) is second horizontal space adaptive wave filter input value of t+1 tap constantly to described ω.
14., it is characterized in that the described first predetermined instant t is the moment of actual reception to channel quality value according to each described channel measuring method of claim 1-13 based on horizontal space adaptive wave filter.
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