CN108282237B - A kind of cell signal power measurement method - Google Patents
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Abstract
The invention discloses a kind of cell signal power measurement methods, comprising: 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 received data；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；It regard value biggish in frequency domain measurement power and time domain measurement power as cell signal power.Technical solution 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 function in cellular radio Communication system
The method of rate.
Background technique
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, requires to measure cell signal power, to select the cell for meeting power condition to be resident.
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 do not include the measurement object of 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 received time-domain signal and the training sequence of cell to be measured
Signal carries out convolution and obtains, can also be by receiving the frequency-region signal of signal and the frequency-region signal phase of cell training sequence to be measured
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 influence that the above method of the prior art can preferably avoid interference and noise from measuring cell signal power.But
It is the above method when there are timing slip and frequency shift (FS), measurement result will receive influence, to influence cell signal power
The accuracy of measurement.
In cellular radio Communication, deviation of the device of terminal and base station itself on clock and frequency and terminal and
Distance difference, movement speed between base station is different, can all cause the timing of the received each base station signal of terminal and frequency deviation difference, institute
With terminal in order to obtain accurate each cell signal power, need to do different community different timing and Frequency Synchronization.
In order to reduce timing offset and frequency departure to improve measurement accuracy, in terms of timing slip control, 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, since communication protocol is all between terminal is made that the required precision in frequency and base station mostly maintains frequency domain
More stringent synchronization has also controlled frequency departure in a certain range.By implementing cell synchronous estimation, usually may be used
So that terminal and each cell are completed, sampling point grade is synchronous (to be held that is, Timing Synchronization deviation is controlled in sampled point time interval or chip
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, and the burden of terminal is bigger.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 the 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 is carried out on the basis of sampling point grade is synchronous, timing offset
The influence measured with frequency departure cell signal power is to be difficult to avoid that, measurement be usually 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.
Summary of the invention
In order to solve the above-mentioned problems in the prior art, the invention proposes a kind of cell signal power measurement sides
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 solution of the present invention is as follows:
A kind of cell signal power measurement method, comprising: terminal is after the frequency point reception sampling point grade of cell to be measured synchronizes
Data；Received training sequence frequency domain data and received training sequence time domain data are obtained from received data；
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；To the time domain sequence of ratio values
Sliding auto-correlation is carried out, time domain measurement power is obtained；By 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:
It is divided into the sliding auto-correlation of k carrying out between the frequency domain sequence of ratio values, obtains frequency domain and slides sequence of correlation values；
The absolute value that the frequency domain slides each frequency domain sliding correlation in sequence of correlation values is slided into correlation as the frequency domain
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 greater 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, it is described according to frequency domain power sequence obtain frequency domain measurement power include: will be in the frequency domain power sequence
It is high-power be used 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；It will be described
Frequency domain slides 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:
It is divided into the sliding auto-correlation of k carrying out between the time domain sequence of ratio values, obtains time domain and slides sequence of correlation values；
The absolute value that the time domain slides each time domain sliding correlation in sequence of correlation values is slided into correlation as the time domain
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 ... ..., J；The J is the integer greater than 0 and less than the time domain sequence of ratio values length.
It is preferably, described that obtain time domain measurement power according to the time-domain power sequence include: to calculate the time-domain power
The average value of 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
It will be high-power as time domain measurement power in the time-domain power sequence.
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；
Using the absolute value of time domain sliding correlation as time domain measurement power.
In technical solution 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 rotation 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 synchronizing process needed for measurement without accurate synchronous estimation procedure as precondition
Cost is improved there are the measurement accuracy under synchronism deviation scene.
Detailed description of the invention
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 embodiment
Technical solution in order to better illustrate the present invention with reference to the accompanying drawing carries out a specific embodiment of the invention
Detailed description.
It should be noted that illustrating for for the measurement of TD-SCDMA system cell signal power in specific embodiment
Technical solution 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 includes 128 altogether
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 can use the prior art, 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, is obtained received training sequence time domain data rec_r_time (n)；
Fourier transform is carried out to the data received, is obtained 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 can use the prior art, 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 divided by local training sequence frequency domain data with the received 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 divided by local training sequence time domain data with the received 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 this specific implementation
A kind of preferred implementation scheme of example, this step may further include:
S1041, the sliding auto-correlation carried out to the frequency domain sequence of ratio values by different interval k, obtain frequency domain and slide phase
It closes value sequence freq_xcoor (k)；
Wherein, the conj () is conjugate operation；
S1042, the absolute value that the frequency domain is slided each frequency domain sliding correlation in sequence of correlation values are sliding 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 greater than 0 and to be less than the whole of 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 be 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
It closes value sequence time_xcoor (k)；
Wherein, the conj () is conjugate operation；
S1052, the absolute value that the time domain is slided each time domain sliding correlation in sequence of correlation values are sliding 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 ... ..., J；The J is greater than 0 and to be less than the whole of 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 can use the prior art, 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, is obtained received training sequence time domain data rec_r_time (n)；
Fourier transform is carried out to the data received, is obtained 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 divided by local training sequence frequency domain data with the received 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 divided by local training sequence time domain data with the received 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 to be less than the frequency domain sequence of ratio values long
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 | | to take absolute value；
The I is to slide autocorrelative fixed intervals, and I may be greater than 1 and be 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 above-mentioned specific embodiment of the 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 rotation 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, using average value as whole cell signal
Power further obviates influence of the error of frequency domain measurement power or time domain measurement power to termination fruit, improves cell letter
The accuracy of number power.The scheme of the specific embodiment of the invention only needs to can be realized in the case where realizing the synchronous scene of sampling point grade
Accurate measurement is used as precondition without accurate synchronize, and without accurate synchronous estimation procedure, reduces needed for measurement
Synchronizing process realization cost, improve 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 referring to compared with
Good embodiment describes the invention in detail, those skilled in the art should understand that, it can be to skill of the 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 scope of the claims of invention.
Claims (9)
1. a kind of cell signal power measurement method characterized by comprising
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 received data；To the reception number
According to co-channel interference elimination is carried out, received training sequence time domain data is obtained；Fourier transform is carried out to the data received, is obtained
Received training sequence frequency domain data；
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. the method according to claim 1, wherein described slide from phase the frequency domain sequence of ratio values
It closes, obtaining frequency domain measurement power includes:
It is divided into the sliding auto-correlation of k carrying out between the frequency domain sequence of ratio values, obtains frequency domain and slides sequence of correlation values；
The frequency domain is slided into the absolute value of each frequency domain sliding correlation in sequence of correlation values 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 greater 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
Include:
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
Include:
Using the maximum power in the frequency domain power sequence as frequency domain measurement power.
5. the method according to claim 1, wherein 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；
Using the absolute value of frequency domain sliding correlation as frequency domain measurement power.
6. the method according to claim 1, wherein described slide from phase the time domain sequence of ratio values
It closes, obtaining time domain measurement power includes:
It is divided into the sliding auto-correlation of k carrying out between the time domain sequence of ratio values, obtains time domain and slides sequence of correlation values；
The time domain is slided into the absolute value of each time domain sliding correlation in sequence of correlation values 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 ... ..., J；The J is the integer greater 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. the method according to claim 1, wherein 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；
Using the absolute value of time domain sliding correlation as time domain measurement power.
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Effective date of registration: 20210302 Address after: 409814 group 13, zhangjiacheng village, Lixi Town, Youyang Tujia and Miao Autonomous County, Chongqing Patentee after: Luo Jinchao Address before: No.1, Yuhang village, dashiba, Jiangbei District, Chongqing 400021 Patentee before: CHONGQING AEROSPACE POLYTECHNIC College |