CN108282237A - A kind of cell signal power measurement method - Google Patents
A kind of cell signal power measurement method Download PDFInfo
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- CN108282237A CN108282237A CN201810076038.5A CN201810076038A CN108282237A CN 108282237 A CN108282237 A CN 108282237A CN 201810076038 A CN201810076038 A CN 201810076038A CN 108282237 A CN108282237 A CN 108282237A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/318—Received signal strength
- H04B17/327—Received signal code power [RSCP]
Abstract
The invention discloses a kind of cell signal power measurement methods, including：Terminal receives the data after sampling point grade synchronizes in the frequency point of cell to be measured；Received training sequence frequency domain data and received training sequence time domain data are obtained from the data of reception；With received training sequence frequency domain data divided by local training sequence frequency domain data, frequency domain sequence of ratio values is obtained；With received training sequence time domain data divided by local training sequence time domain data, time domain sequence of ratio values is obtained；Sliding auto-correlation is carried out to frequency domain sequence of ratio values, obtains frequency domain measurement power；Sliding auto-correlation is carried out to time domain sequence of ratio values, obtains time domain measurement power；Using value larger in frequency domain measurement power and time domain measurement power as cell signal power.Technical scheme of the present invention can effectively reduce the influence that timing offset and frequency departure measure cell signal power, improve measurement accuracy.
Description
Technical field
The present invention relates to field of communication technology, it is related specifically to a kind of measurement cell signal work(in cellular radio Communication system
The method of rate.
Background technology
In mobile communication system, mobile terminal is carrying out cell selection, cell reselection, the radio resources pipe such as cell switching
It when reason behavior, is required for measuring cell signal power, the cell that power condition is met with selection carries out mainstream.
In different communication systems, the object and title of measurement are different, but there are big quality entities only with to be measured small
The signal power in area, and the measurement object not comprising noise and interference.Such as TD SDMA (referred to as, TD-SCDMA)
System, received signal code power (referred to as, RSCP) and long term evolution in wideband code division multiple access (referred to as, WCDMA) system
Reference Signal Received Power (referred to as, RSRP) in (referred to as, LTE) system etc..
In the prior art, there are mainly two types of the measurement methods of cell signal power：
1. being based on time domain channel shock response, the method by selecting diameter technology to measure.
Wherein time domain channel shock response can pass through the time domain of the training sequence of the time-domain signal and cell to be measured of reception
Signal carries out convolution and obtains, and can also pass through the frequency-region signal phase of the frequency-region signal and cell training sequence to be measured of reception signal
It removes, then carries out inverse Fourier transform again and obtain.
2. be directly based upon the result be divided by of frequency-region signal of the frequency-region signal and cell training sequence to be measured that receive signal into
The measurement method of row summation.
The above method of the prior art can preferably avoid the influence that interference and noise measure cell signal power.But
It is the above method when there are timing slip and frequency shift (FS), measurement result can be affected, to influence cell signal power
The accuracy of measurement.
In cellular radio Communication, the device of terminal and base station itself deviation and terminal on clock and frequency and
Distance difference, movement speed between base station is different, can all cause timing and the frequency deviation difference of each base station signal of terminal reception, institute
With terminal in order to obtain accurate each cell signal power, need to do different timings and Frequency Synchronization to different community.
In order to reduce timing offset and frequency departure to improve measurement accuracy, in timing slip control aspect, terminal exists
An initial synchronous estimation can be carried out when reception to each cell, in a certain range by timing offset control；It is inclined in frequency
Control aspect is moved, being all made that the required precision in frequency and base station mostly maintain frequency domain to terminal due to communication protocol
More stringent synchronization has also controlled frequency departure in a certain range.By implementing cell synchronous estimation, usually may be used
It is synchronized (that is, the control of Timing Synchronization deviation is held in sampled point time interval or chip so that terminal and each cell complete sampling point grade
In continuous time range), frequency bias control is only being influenced by moving velocity of terminal.
Terminal will further complete the precise synchronization of each cell, and radio frequency and Base-Band Processing is needed to pay very big cost, special
It is not in multi-module mobile terminal, since measurement period is limited, measurement cell is more, the burden bigger of terminal.Additionally due to by
It is accurate that the influence of noise and interference, timing offset and frequency departure are difficult to estimate.Therefore, in actual mobile communication system,
It is difficult to completely eliminate the influence that timing offset and frequency departure measure cell signal power.
In cell signal power measurement process under practical application scene, since terminal will complete the accurate of multiple cells
Synchronous realization cost is too high, it is generally the case that measurement process all carries out on the basis of sampling point grade synchronizes, timing offset
The influence measured cell signal power with frequency departure is to be difficult to avoid that, measure be typically in the case where there is synchronism deviation into
Capable.Existing cell signal power measuring technique scheme the problem is that, under the scene there are synchronism deviation, by timing
The influence of deviation and frequency departure, it is difficult to obtain accurate measurement result.
Invention content
In order to solve the above-mentioned problems in the prior art, the present invention proposes a kind of cell signal power measurement side
Method is improved with reducing influence of the synchronism deviation to measurement there are the measurement of the cell signal power under synchronism deviation scene essences
Degree.
The technical scheme is that：
A kind of cell signal power measurement method, including：
Terminal receives the data after sampling point grade synchronizes in the frequency point of cell to be measured；
Received training sequence frequency domain data and received training sequence time domain data are obtained from the data of reception；
With the received training sequence frequency domain data divided by local training sequence frequency domain data, frequency domain sequence of ratio values is obtained；
With the received training sequence time domain data divided by local training sequence time domain data, time domain sequence of ratio values is obtained；
Sliding auto-correlation is carried out to the frequency domain sequence of ratio values, obtains frequency domain measurement power；
Sliding auto-correlation is carried out to the time domain sequence of ratio values, obtains time domain measurement power；
Using the average value of the frequency domain measurement power and the time domain measurement power as cell signal power.
Further, described to carry out sliding auto-correlation to the frequency domain sequence of ratio values, obtaining frequency domain measurement power includes：
To the frequency domain sequence of ratio values into the sliding auto-correlation that between-line spacing is k, obtains frequency domain and slide sequence of correlation values；
The frequency domain is slided into each frequency domain in sequence of correlation values and slides the absolute value of correlation as frequency domain sliding correlation
The power of value obtains frequency domain power sequence；
Frequency domain measurement power is obtained according to the frequency domain power sequence；
Wherein, the k=0,1 ... ..., K；The K is the integer more than 0 and less than the frequency domain sequence of ratio values length.
Preferably, described to include according to frequency domain power sequence acquisition frequency domain measurement power：
The average value for calculating the frequency domain power sequence, using the average value as frequency domain measurement power.
Preferably, described to include according to frequency domain power sequence acquisition frequency domain measurement power：
Using the maximum power in the frequency domain power sequence as frequency domain measurement power.
Further, described to carry out sliding auto-correlation to the frequency domain sequence of ratio values, obtaining frequency domain measurement power includes：
The sliding auto-correlation at interval is fixed to the frequency domain sequence of ratio values, obtains frequency domain and slides correlation；
The frequency domain is slided into the absolute value of correlation as frequency domain measurement power.
Further, described to carry out sliding auto-correlation to the time domain sequence of ratio values, obtaining time domain measurement power includes：
To the time domain sequence of ratio values into the sliding auto-correlation that between-line spacing is k, obtains time domain and slide sequence of correlation values；
The time domain is slided into each time domain in sequence of correlation values and slides the absolute value of correlation as time domain sliding correlation
The power of value obtains time-domain power sequence；
Time domain measurement power is obtained according to the time-domain power sequence；
Wherein, the k=0,1 ... ..., K；The K is the integer more than 0 and less than the time domain sequence of ratio values length.
Preferably, described to include according to time-domain power sequence acquisition time domain measurement power：
The average value for calculating the time-domain power sequence, using the average value as time domain measurement power.
Preferably, described to include according to time-domain power sequence acquisition time domain measurement power：
Using the maximum power in the time-domain power sequence as time domain measurement power.
Further, described to carry out sliding auto-correlation to the time domain sequence of ratio values, obtaining time domain measurement power includes：
The sliding auto-correlation at interval is fixed to the time domain sequence of ratio values, obtains time domain and slides correlation；
The time domain is slided into the absolute value of correlation as time domain measurement power.
In technical scheme of the present invention, by frequency domain and two groups of sequences of time domain carry out respectively sliding it is related seek it is corresponding
Performance number directly eliminates the phase place of timing offset and frequency departure in time domain and frequency domain, reduce timing offset and
The influence that frequency departure measures cell signal power.Technical solution of the present invention is in cell signal power measurement process without essence
True synchronization reduces the realization of the synchronizing process needed for measuring as precondition without accurate synchronous estimation procedure
Cost is improved there are the measurement accuracy under synchronism deviation scene.
Description of the drawings
Fig. 1 is 1 method flow diagram of the specific embodiment of the invention；
Fig. 2 is 2 method flow diagram of the specific embodiment of the invention；
Specific implementation mode
In order to better illustrate technical scheme of the present invention, the specific implementation mode of the present invention is carried out below in conjunction with the accompanying drawings
Detailed description.
It should be noted that being illustrated for being directed to TD-SCDMA system cell signal power and measuring in specific implementation mode
Technical scheme of the present invention, but technical solution of the present invention can be applied to include TD-SCDMA, WCDMA, CDMA2000, LTE with
And cell signal power measurement in the various mobile communication system including various multimode systems.
A subframe lengths of TD-SCDMA be 5 milliseconds, each subframe include 10 time slots, time slot be divided into ascending time slot and
Descending time slot carries upstream data respectively and downlink data, each descending time slot shares 864 sampling points.It is total for measuring Your Majesty
The training sequence midamble for controlling physical channel (referred to as, P-CCPCH) is in the 353rd~the 496th sampling point of time slot 0, wherein
The 353rd~368 sampling point data be repeat 380~496 sampling points data, training sequence midamble altogether include 128
Sampling point data.
Specific embodiment 1
The present embodiment is a kind of preferred embodiment of cell signal power measurement method of the present invention.
Referring to Fig. 1, as shown in Figure 1, the cell signal power measurement method of the present embodiment includes：
S101, terminal receive the data after sampling point grade synchronizes in the frequency point of cell to be measured；
After determining that the frequency point of cell to be measured, completion sampling point grade are synchronized according to measurement task, from the midamble in P-CCPCH
Starting point start receive data, in total receive 128 sampling points, obtain receive data；
Wherein, the sampling point grade synchronizes the various sampling point grade synchronous method that the prior art may be used, and the present invention does not have this
There is concrete restriction；
S102, received training sequence frequency domain data and received training sequence time domain data are obtained；
Co-channel interference elimination is carried out to the reception data, obtains received training sequence time domain data rec_r_time (n)；
Fourier transform is carried out to the data received, obtains received training sequence frequency domain data rec_r_freq (n)；
Wherein, n is data sequence number, n=1,2 ... N；N is the length of training sequence, in the present embodiment, N=128；
The co-channel interference eliminates the various co-frequency interference elimination methods that the prior art may be used, and the present invention does not have this
Concrete restriction；
S103, frequency domain sequence of ratio values and time domain sequence of ratio values are obtained；
Frequency domain sequence of ratio values is obtained with the received training sequence frequency domain data divided by local training sequence frequency domain data
freq_ratio(n)；
Wherein, rec_b_freq (n) is the local training sequence frequency domain data for the cell to be measured that mobile terminal prestores；
Time domain sequence of ratio values is obtained with the received training sequence time domain data divided by local training sequence time domain data
time_ratio(n)；
Wherein, rec_b_time (n) is the local training sequence time domain number for the cell to be measured that mobile terminal prestores
According to；
S104, sliding auto-correlation is carried out to the frequency domain sequence of ratio values, obtain frequency domain measurement power；
As a kind of preferred implementation scheme of this specific embodiment, this step may further include：
S1041, the sliding auto-correlation carried out by different interval k to the frequency domain sequence of ratio values, obtain frequency domain and slide phase
Close value sequence freq_xcoor (k)；
Wherein, the conj () is conjugate operation；
S1042, the absolute value that the frequency domain is slided to each frequency domain sliding correlation in sequence of correlation values are slided as the frequency domain
The power of dynamic correlation, obtains frequency domain power sequence freq_xcoor_power (k)；
Freq_xcoor_power (k)=| freq_xcoor (k) |
Wherein, described | | to take absolute value；
S1043, frequency domain measurement power freq_xcoor_power is obtained according to the frequency domain power sequence；
It, can be using the average value of the frequency domain power sequence as freq_xcoor_power in the present embodiment；
It can also be using the maximum value in the frequency domain power sequence as frequency domain measurement power；
Wherein, the interval k=0,1 ... ..., K；The K is more than 0 and whole less than the frequency domain sequence of ratio values length
Number；
S105, sliding auto-correlation is carried out to the time domain sequence of ratio values, obtain time domain measurement power；
As a kind of preferred implementation scheme of this specific embodiment, this step may further include：
S1051, sliding auto-correlation is carried out by k is divided between different to the time domain sequence of ratio values, obtains time domain and slides phase
Close value sequence time_xcoor (k)；
Wherein, the conj () is conjugate operation；
S1052, the absolute value that the time domain is slided to each time domain sliding correlation in sequence of correlation values are slided as the time domain
The power of dynamic correlation, obtains time-domain power sequence time_xcoor_power (k)；
Time_xcoor_power (k)=| time_xcoor (k) |
Wherein, described | | to take absolute value；
S1053, time domain measurement power is obtained according to the time-domain power sequence；
It, can be using the average value of the time-domain power sequence as time domain measurement power time_xcoor_ in the present embodiment
power；
It can also be using the maximum value in the time-domain power sequence as time_xcoor_power；
Wherein, the interval k=0,1 ... ..., K；The K is more than 0 and whole less than the time domain sequence of ratio values length
Number；
S106, using the average value of the frequency domain measurement power and the time domain measurement power as cell signal power.
Specific embodiment 2
The present embodiment is another preferred embodiment of cell signal power measurement method of the present invention.
Referring to Fig. 2, as shown in Fig. 2, the measurement method of the present embodiment includes：
S201, terminal receive the data after sampling point grade synchronizes in the frequency point of cell to be measured；
After determining that the frequency point of cell to be measured, completion sampling point grade are synchronized according to measurement task, from the midamble in P-CCPCH
Starting point start receive data, in total receive 128 sampling points, obtain receive data；
Wherein, the sampling point grade synchronizes the various sampling point grade synchronous method that the prior art may be used, and the present invention does not have this
There is concrete restriction；
S202, received training sequence frequency domain data and received training sequence time domain data are obtained；
Co-channel interference elimination is carried out to the reception data, obtains received training sequence time domain data rec_r_time (n)；
Fourier transform is carried out to the data received, obtains received training sequence frequency domain data rec_r_freq (n)；
Wherein, n is data sequence number, n=1,2 ... N；N is the length of training sequence, in the present embodiment, N=128；
S203, frequency domain sequence of ratio values and time domain sequence of ratio values are obtained；
Frequency domain sequence of ratio values is obtained with the received training sequence frequency domain data divided by local training sequence frequency domain data
freq_ratio(n)；
Wherein, rec_b_freq (n) is the local training sequence frequency domain data for the cell to be measured that mobile terminal prestores；
Time domain sequence of ratio values is obtained with the received training sequence time domain data divided by local training sequence time domain data
time_ratio(n)；
Wherein, rec_b_time (n) is the local training sequence time domain number for the cell to be measured that mobile terminal prestores
According to；
S204, sliding auto-correlation is carried out to the frequency domain sequence of ratio values, obtain frequency domain measurement power；
This step further comprises：
S2041, the sliding auto-correlation for the frequency domain sequence of ratio values being fixed interval obtain frequency domain and slide correlation
freq_xcoor；
Wherein, the conj () is conjugate operation；
S2042, the frequency domain is slided into the absolute value of correlation as frequency domain measurement power freq_xcoor_power；
Freq_xcoor_power=| freq_xcoor |
Wherein, described | | to take absolute value；
Wherein, the I is to slide autocorrelative fixed intervals, and I may be greater than 1 and long less than the frequency domain sequence of ratio values
The integer of degree.
S205, sliding auto-correlation is carried out to the time domain sequence of ratio values, obtain time domain measurement power；
This step further comprises：
S2051, the sliding auto-correlation for the time domain sequence of ratio values being fixed interval obtain time domain and slide correlation
time_xcoor；
Wherein, the conj () is conjugate operation；
S2052, the time domain is slided into the absolute value of correlation as time domain measurement power time_xcoor_power；
Time_xcoor_power=| time_xcoor |
Wherein, described | | it is absolute value；
The I is to slide autocorrelative fixed intervals, and I may be greater than 1 and less than the time domain sequence of ratio values length
Integer.
S206, using the average value of the frequency domain measurement power and the time domain measurement power as cell signal power.
In the above-mentioned specific embodiment of the present invention, terminal is from acquisition training sequence midamble in signal is received, by right
Frequency domain carries out that sliding is related to seek frequency domain power value and time-domain power value to two groups of sequences of time domain respectively, directly eliminates timing
The phase place of deviation and frequency departure in time domain and frequency domain reduces timing offset and frequency departure to cell signal power
The influence of measurement.By being averaged to frequency domain measurement power and time domain measurement power, believe average value as final cell
Number power, further obviates influence of the error of frequency domain measurement power or time domain measurement power to final result, improves small
The accuracy of area's signal power.The scheme of the specific embodiment of the invention only needs under the scene for realizing the synchronization of sampling point grade
It realizes accurate measurement, is used as precondition without accurately synchronous, synchronizes estimation procedure without accurate, reduce measurement
The realization cost of required synchronizing process is improved there are the measurement accuracy under synchronism deviation scene.
It should be noted that the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although with reference to compared with
Good embodiment describes the invention in detail, it will be understood by those of ordinary skill in the art that, it can be to the skill of the present invention
Art scheme is modified or replaced equivalently, and without departing from the objective and range of technical solution of the present invention, should all be covered at this
In the right of invention.
Claims (9)
1. a kind of cell signal power measurement method, which is characterized in that including：
Terminal receives the data after sampling point grade synchronizes in the frequency point of cell to be measured；
Received training sequence frequency domain data and received training sequence time domain data are obtained from the data of reception；
With the received training sequence frequency domain data divided by local training sequence frequency domain data, frequency domain sequence of ratio values is obtained；
With the received training sequence time domain data divided by local training sequence time domain data, time domain sequence of ratio values is obtained；
Sliding auto-correlation is carried out to the frequency domain sequence of ratio values, obtains frequency domain measurement power；
Sliding auto-correlation is carried out to the time domain sequence of ratio values, obtains time domain measurement power；
Using the average value of the frequency domain measurement power and the time domain measurement power as cell signal power.
2. according to the method described in claim 1, it is characterized in that, described slide from phase the frequency domain sequence of ratio values
It closes, obtaining frequency domain measurement power includes：
To the frequency domain sequence of ratio values into the sliding auto-correlation that between-line spacing is k, obtains frequency domain and slide sequence of correlation values；
The frequency domain is slided into each frequency domain in sequence of correlation values and slides the absolute value of correlation as frequency domain sliding correlation
Power obtains frequency domain power sequence；
Frequency domain measurement power is obtained according to the frequency domain power sequence；
Wherein, the k=0,1 ... ..., K；The K is the integer more than 0 and less than the frequency domain sequence of ratio values length.
3. according to the method described in claim 2, it is characterized in that, described obtain frequency domain measurement power according to frequency domain power sequence
Including：
The average value for calculating the frequency domain power sequence, using the average value as frequency domain measurement power.
4. according to the method described in claim 2, it is characterized in that, described obtain frequency domain measurement power according to frequency domain power sequence
Including：
Using the maximum power in the frequency domain power sequence as frequency domain measurement power.
5. according to the method described in claim 1, it is characterized in that, described slide from phase the frequency domain sequence of ratio values
It closes, obtaining frequency domain measurement power includes：
The sliding auto-correlation at interval is fixed to the frequency domain sequence of ratio values, obtains frequency domain and slides correlation；
The frequency domain is slided into the absolute value of correlation as frequency domain measurement power.
6. according to the method described in claim 1, it is characterized in that, described slide from phase the time domain sequence of ratio values
It closes, obtaining time domain measurement power includes：
To the time domain sequence of ratio values into the sliding auto-correlation that between-line spacing is k, obtains time domain and slide sequence of correlation values；
The time domain is slided into each time domain in sequence of correlation values and slides the absolute value of correlation as time domain sliding correlation
Power obtains time-domain power sequence；
Time domain measurement power is obtained according to the time-domain power sequence；
Wherein, the k=0,1 ... ..., K；The K is the integer more than 0 and less than the time domain sequence of ratio values length.
7. according to the method described in claim 6, it is characterized in that, described obtain time domain measurement according to the time-domain power sequence
Power includes：
The average value for calculating the time-domain power sequence, using the average value as time domain measurement power.
8. according to the method described in claim 6, it is characterized in that, described obtain time domain measurement according to the time-domain power sequence
Power includes：
Using the maximum power in the time-domain power sequence as time domain measurement power.
9. according to the method described in claim 1, it is characterized in that, described slide from phase the time domain sequence of ratio values
It closes, obtaining time domain measurement power includes：
The sliding auto-correlation at interval is fixed to the time domain sequence of ratio values, obtains time domain and slides correlation；
The time domain is slided into the absolute value of correlation as time domain measurement power.
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| US20070280098A1 (en) * | 2006-05-31 | 2007-12-06 | Nokia Corporation | Method, apparatus and computer program product providing synchronization for OFDMA downlink signal |
| CN101388723A (en) * | 2008-10-28 | 2009-03-18 | 重庆重邮信科通信技术有限公司 | Radio communication timing synchronization method, cell searching method and system |
| CN106533820A (en) * | 2015-09-14 | 2017-03-22 | 展讯通信（上海）有限公司 | Cell measurement method, device and user equipment |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070280098A1 (en) * | 2006-05-31 | 2007-12-06 | Nokia Corporation | Method, apparatus and computer program product providing synchronization for OFDMA downlink signal |
| CN101388723A (en) * | 2008-10-28 | 2009-03-18 | 重庆重邮信科通信技术有限公司 | Radio communication timing synchronization method, cell searching method and system |
| CN106533820A (en) * | 2015-09-14 | 2017-03-22 | 展讯通信（上海）有限公司 | Cell measurement method, device and user equipment |
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