CN107171981B - Channel correction method and device - Google Patents
Channel correction method and device Download PDFInfo
- Publication number
- CN107171981B CN107171981B CN201610129688.2A CN201610129688A CN107171981B CN 107171981 B CN107171981 B CN 107171981B CN 201610129688 A CN201610129688 A CN 201610129688A CN 107171981 B CN107171981 B CN 107171981B
- Authority
- CN
- China
- Prior art keywords
- channel
- estimation result
- channel estimation
- time domain
- domain position
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012937 correction Methods 0.000 title claims abstract description 135
- 238000000034 method Methods 0.000 title claims abstract description 65
- 238000012545 processing Methods 0.000 claims abstract description 58
- 230000009467 reduction Effects 0.000 claims abstract description 46
- 238000001914 filtration Methods 0.000 claims abstract description 37
- 230000008569 process Effects 0.000 claims abstract description 29
- 238000005259 measurement Methods 0.000 claims description 66
- 230000005540 biological transmission Effects 0.000 claims description 59
- 238000013519 translation Methods 0.000 claims description 44
- 238000004364 calculation method Methods 0.000 claims description 31
- 238000004891 communication Methods 0.000 abstract description 2
- 230000006870 function Effects 0.000 description 55
- 238000010586 diagram Methods 0.000 description 11
- 238000001514 detection method Methods 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000004044 response Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 241000287196 Asthenes Species 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/0202—Channel estimation
- H04L25/0204—Channel estimation of multiple channels
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/0202—Channel estimation
- H04L25/024—Channel estimation channel estimation algorithms
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
- H04L25/03828—Arrangements for spectral shaping; Arrangements for providing signals with specified spectral properties
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
- H04L25/03878—Line equalisers; line build-out devices
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Noise Elimination (AREA)
Abstract
The invention discloses a channel correction method and device, and relates to the technical field of communication. The method and the device are invented for solving the problems that in the prior art, under the application scene of low signal-to-noise ratio, accurate correction coefficients cannot be obtained, and then channel estimation cannot be accurately realized. The method comprises the following steps: acquiring a first channel estimation result and a second channel estimation result; determining a first time domain position according to the first channel estimation result and determining a second time domain position according to the first time domain position; according to the first time domain position and a preset filtering window function, carrying out noise reduction processing on the first channel estimation result to obtain a first target channel estimation result; performing noise reduction processing on the second channel estimation result according to the second time domain position and a preset filtering window function to obtain a second target channel estimation result; and determining a correction coefficient according to the first target channel estimation result and the second target channel estimation result. The method is applied to the process of channel correction between different RRUs.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a channel correction method and apparatus.
Background
The CoMP transmission technology refers to a plurality of transmission Points separated in geographic positions, cooperatively participate in data transmission of one terminal or jointly receive data transmitted by one terminal, and the plurality of transmission Points participating in cooperation generally refer to base stations of different cells.
Fig. 1 is a schematic diagram of the architecture of the DMIMO system. A Base station in the DMIMO system includes a plurality of Base Band Units (BBUs), each BBU may be connected to a plurality of Radio Remote Units (RRUs) via optical fibers, and each RRU includes a plurality of transmission channels and reception channels. When channel estimation is implemented in a DMIMO system, if measured uplink channel estimation is directly used for an actual downlink channel, an error is caused, and therefore, it is necessary to correct each channel in a single RRU and channels between different RRUs, so that each channel satisfies the consistency of reciprocity, that is, the following formula (1):
in formula (1), Txi(i＝1,2…Nt) Indicating the transmission channel characteristic, Rx, of channel ii(i＝1,2…Nt) Represents the channel-receiving characteristic of channel i, and c is a constant.
When the reciprocity consistency of each channel in a single RRU and the channels before different RRUs is satisfied, the uplink channel estimation obtained by estimation can be used for an actual downlink channel.
The prior art provides a specific implementation process for reciprocity correction of channels between different RRUs. Taking the DMIMO system architecture shown in fig. 1 as an example, assuming that reciprocity consistency among channels inside each RRU has been achieved, a channel of an RRU0 is selected as a reference channel (hereinafter referred to as channel 0), and one channel (hereinafter referred to as channel 1 to channel 4) is selected for inter-RRU channel correction for each of the RRUs 1, the RRU2, the RRU3, and the RRU4, and a correction signal transceiving flow between an RRUi (i is 1, 2,3,4) and an RRU0 is shown in fig. 2. When the transmission characteristic measurement is carried out, channels 1 to 4 respectively belonging to RRU1 to RRU4 send measurement signals to RRU0 in a frequency division manner; reference channel 0 of RRU0 receives the transmit channel characteristic measurement signal. Assuming a known frequency domain signal transmitted in the baseband as
Then the frequency domain signal received by channel 0 is:
wherein S isTxiThe transmitted signal, Tx, representing channel iiIndicating the hair-channel characteristics of channel i,
indicating characteristics of the transmission path over the air, Rx0Represents the channel-receiving characteristic of correction channel 0, ni,DLIndicating that channel i sends a test signal to correct the frequency domain noise of channel 0.
The baseband of the base station where the RRU0 is located performs characteristic estimation on the data sent from the channel 0 according to the least Square method (L east Square, L S):
when the reception characteristic measurement is performed, the transmission channel of the channel 0 is used as the transmission correction channel, and the reception channel of the channels 1 to 4 receives the reception characteristic measurement signal from the channel 0. Suppose that channel 0 transmits a known frequency domain signal SRx0Then, the frequency domain signal received by the baseband of each RRU receiving channel may be represented as:
wherein, Tx0Indicating the channel characteristics of correction channel 0,
indicating characteristics of the transmission path over the air, RxiDenotes the channel characteristics, n, of channel ii,ULIndicating that correction channel 0 sends a test signal to the frequency domain noise of channel i. The baseband of RRU1 through RRU4 each estimate the receive channel characteristics:
according to equation (3) and equation (5), when the Signal-to-noise ratio (SNR) between RRU0 and RRU1 through RRU4 is sufficiently high, the noise in equation (3) can be ignoredN 'of sound'i,DLAnd noise n 'in equation (5)'i,ULThen, the inter-RRU correction factor αiComprises the following steps:
according to the correction coefficient to RRUiThe receiving channel of the RRU is corrected, namely the RRU is about to be correctediThe channel receiving characteristic is multiplied by the correction coefficient, so that the RRU can be enablediAnd RRU0Have the same reciprocity, that is:
combining the formula (1) and the formula (7), it can be found that the ratio between the transmit channel characteristic and the receive channel characteristic is a constant after the receive channel characteristic is multiplied by the correction coefficient
Thus, the reciprocity consistency among the channels can be realized.
After the reciprocity consistency among the channels is realized, the estimated channel response of the uplink channel can be used as the channel response of the downlink channel, that is, the correction coefficient α obtained according to the formula (6) can be usediAnd the estimation algorithm of the downlink channel, can get the downlink channel:
however, in the prior art, whether the SNR of the transmission channel is high enough is the key to correctly estimate the equivalent channel. To estimate the equivalent channel correctly, it is necessary to ensure that the correction coefficient obtained according to the formula (6) is more accurate, and further it is necessary to ensure that the noise of the air interface channel indicated in the formulas (3) and (5) is less, that is, the signal-to-noise ratio between the RRU0 and the RRUs 1 to the RRU4 is higher. However, in the actual air interface transmission process, the channel is complex and always accompanied by various noises; the RRUs are distributed relatively far apart, and the effective signal is weak, so the signal-to-noise ratio between the RRU0 and the RRUs 1 to 4 is relatively low. Under the use scene of low signal-to-noise ratio, the prior art can not accurately realize channel estimation.
Disclosure of Invention
The invention provides a channel correction method and a channel correction device, which are used for solving the problems that in the prior art, under the application scene of low signal-to-noise ratio, an accurate correction coefficient cannot be obtained during channel correction, and further, channel estimation cannot be accurately realized.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a channel correction method, including: obtaining a first channel estimation result and a second channel estimation result, wherein the first channel estimation result is obtained by taking a first channel of a first Radio Remote Unit (RRU) as a channel to be corrected and taking a first channel of a second RRU as a reference channel and performing channel transmission characteristic measurement on the channel to be corrected, and the second channel estimation result is obtained by taking the first channel of the first RRU as the channel to be corrected and taking the first channel of the second RRU as the reference channel and performing channel receiving characteristic measurement on the channel to be corrected; determining a first time domain position according to the first channel estimation result and determining a second time domain position according to the first time domain position; the first time domain position is the time domain position of the path with the strongest power on the time domain channel in the first channel estimation result; the second time domain position is a time domain position corresponding to the first time domain position in the second channel estimation result; performing noise reduction processing on the first channel estimation result according to the first time domain position and a preset filtering window function to obtain a first target channel estimation result; performing noise reduction processing on the second channel estimation result according to the second time domain position and the preset filtering window function to obtain a second target channel estimation result; and determining a correction coefficient according to the first target channel estimation result and the second target channel estimation result, and performing channel correction according to the correction coefficient.
The channel correction method provided by the invention is different from the prior art that the correction coefficient is directly determined according to the two channel estimation results after the channel transmission characteristic measurement is respectively carried out to obtain the corresponding first channel estimation result and the channel receiving characteristic measurement is carried out to obtain the corresponding second channel estimation result, the position (the first time domain position) of the path with the strongest power on the time domain channel in the first channel estimation result obtained by the channel transmission characteristic measurement is also determined, and the noise reduction processing is carried out on the obtained first channel estimation result according to the position and the preset filtering window function. In addition, according to the first time domain position, a second time domain position corresponding to the first time domain position in the second channel estimation result is determined, and noise reduction processing is performed on the obtained second channel estimation result according to the position and a preset filtering window function. And finally, determining a correction coefficient according to the first target channel estimation result and the second target channel estimation result after the noise reduction processing, and correcting the channel transmitting characteristic or the channel receiving characteristic according to the correction coefficient so as to achieve the aim of channel correction. According to the invention, when the correction coefficient is determined, the noise reduction processing is carried out on the channel estimation result, so that a more accurate correction coefficient can be obtained even under a scene with a low signal-to-noise ratio, and the accuracy of channel estimation can be further improved.
With reference to the first aspect, in a first implementation manner of the first aspect, before the determining a first time domain position according to the first channel estimation result and determining a second time domain position according to the first time domain position, the method further includes: determining a correlation value according to the first channel estimation result and the second channel estimation result, wherein the correlation value is used for representing the correlation of a transmission channel in the transmission channel characteristic measurement process and the reception channel characteristic measurement process; judging whether the correlation value is smaller than a preset threshold value or not; and if the correlation value is smaller than the preset threshold value, re-executing the step of obtaining the first channel estimation result and the second channel estimation result. Through the implementation mode, the channel correction method provided by the invention increases the correlation of the transmission channel by detecting the channel characteristic measurement, judges whether the channel correction is suitable for being carried out or not, carries out the channel correction when the correlation is higher, namely the channel change is smaller, and can improve the robustness of the channel correction.
With reference to the first implementation manner of the first aspect, in a second implementation manner of the first aspect, the determining a correlation value according to the first channel estimation result and the second channel estimation result specifically includes: circularly left-shifting and right-shifting the second channel estimation result for K times respectively; after the second channel estimation result is translated every time, obtaining a translated second channel estimation result; determining a calculation result of a correlation between the first channel estimation result and the translated second channel estimation result; and determining the maximum value in the K correlation calculation results as the correlation value. Through the implementation mode, the channel correction method provided by the invention provides a specific implementation mode for determining the correlation of the transmission channel.
With reference to the second implementation manner of the first aspect, in a third implementation manner of the first aspect, the determining a second time domain position according to the first time domain position specifically includes: acquiring the translation direction and the translation times corresponding to the maximum value in the correlation calculation result; and determining the second time domain position according to the first time domain position, the translation direction and the translation times. This implementation presents a specific implementation of determining the second time domain location from the first time domain location.
With reference to the first aspect, or any one of the first, second, and third implementation manners of the first aspect, in a fourth implementation manner of the first aspect, the preset filter window function is a triangular filter window function or a trapezoidal filter window function. This implementation gives a specific implementation of the preset filter window function, and in other implementations, the filter window function may be in other forms.
In a second aspect, the present invention provides a channel correction apparatus, comprising: an obtaining module, configured to obtain a first channel estimation result and a second channel estimation result, where the first channel estimation result is obtained by taking a first channel of a first radio remote unit RRU as a channel to be corrected and taking the first channel of a second RRU as a reference channel and performing channel transmission characteristic measurement on the channel to be corrected, and the second channel estimation result is obtained by taking the first channel of the first RRU as the channel to be corrected and taking the first channel of the second RRU as the reference channel and performing channel reception characteristic measurement on the channel to be corrected;
a processing module, configured to determine a first time domain position according to the first channel estimation result and determine a second time domain position according to the first time domain position; the first time domain position is the time domain position of the path with the strongest power on the time domain channel in the first channel estimation result; the second time domain position is a time domain position corresponding to the first time domain position in the second channel estimation result;
performing noise reduction processing on the first channel estimation result according to the first time domain position and a preset filtering window function to obtain a first target channel estimation result; performing noise reduction processing on the second channel estimation result according to the second time domain position and the preset filtering window function to obtain a second target channel estimation result;
and determining a correction coefficient according to the first target channel estimation result and the second target channel estimation result, and performing channel correction according to the correction coefficient.
The channel correction device provided by the invention is different from the prior art that the correction coefficient is directly determined according to the two channel estimation results after the channel transmission characteristic measurement is respectively carried out to obtain the corresponding first channel estimation result and the channel receiving characteristic measurement is carried out to obtain the corresponding second channel estimation result, the position (the first time domain position) of the path with the strongest power on the time domain channel in the first channel estimation result obtained by the channel transmission characteristic measurement is also determined, and the noise reduction processing is carried out on the obtained first channel estimation result according to the position and the preset filtering window function. In addition, according to the first time domain position, a second time domain position corresponding to the first time domain position in the second channel estimation result is determined, and noise reduction processing is performed on the obtained second channel estimation result according to the position and a preset filtering window function. And finally, determining a correction coefficient according to the first target channel estimation result and the second target channel estimation result after the noise reduction processing, and correcting the channel transmitting characteristic or the channel receiving characteristic according to the correction coefficient so as to achieve the aim of channel correction. According to the invention, when the correction coefficient is determined, the noise reduction processing is carried out on the channel estimation result, so that a more accurate correction coefficient can be obtained even under a scene with a low signal-to-noise ratio, and the accuracy of channel estimation can be further improved.
With reference to the second aspect, in a first implementation manner of the second aspect, the processing module is further configured to determine a correlation value according to the first channel estimation result and the second channel estimation result, where the correlation value is used to represent a correlation of a transmission channel in a channel transmission characteristic measurement process and a channel reception characteristic measurement process; judging whether the correlation value is smaller than a preset threshold value or not; and if the correlation value is smaller than the preset threshold value, re-executing the step of obtaining the first channel estimation result and the second channel estimation result.
With reference to the first implementation manner of the second aspect, in a second implementation manner of the second aspect, the processing module is specifically configured to cycle the second channel estimation result left and right K times, respectively; after the second channel estimation result is translated every time, obtaining a translated second channel estimation result; determining a calculation result of a correlation between the first channel estimation result and the translated second channel estimation result; and determining the maximum value in the K correlation calculation results as the correlation value.
With reference to the second implementation manner of the second aspect, in a third implementation manner of the second aspect, the processing module is specifically configured to obtain a translation direction and a translation number corresponding to a maximum value in the correlation calculation result; and determining the second time domain position according to the first time domain position, the translation direction and the translation times.
With reference to the second aspect, or any one of the first, second, and third implementation manners of the second aspect, in a fourth implementation manner of the second aspect, the preset filter window function is a triangular filter window function or a trapezoidal filter window function.
In a third aspect, the present invention further provides a channel correction apparatus, including: the processor is configured to obtain a first channel estimation result and a second channel estimation result, where the first channel estimation result is obtained by taking a first channel of a first radio remote unit RRU as a channel to be corrected and taking the first channel of a second RRU as a reference channel and performing channel transmission characteristic measurement on the channel to be corrected, and the second channel estimation result is obtained by taking the first channel of the first RRU as the channel to be corrected and taking the first channel of the second RRU as the reference channel and performing channel reception characteristic measurement on the channel to be corrected; determining a first time domain position according to the first channel estimation result and determining a second time domain position according to the first time domain position; the first time domain position is the time domain position of the path with the strongest power on the time domain channel in the first channel estimation result; the second time domain position is a time domain position corresponding to the first time domain position in the second channel estimation result; performing noise reduction processing on the first channel estimation result according to the first time domain position and a preset filtering window function to obtain a first target channel estimation result; performing noise reduction processing on the second channel estimation result according to the second time domain position and the preset filtering window function to obtain a second target channel estimation result; and determining a correction coefficient according to the first target channel estimation result and the second target channel estimation result, and performing channel correction according to the correction coefficient.
The channel correction device provided by the invention is different from the prior art that the correction coefficient is directly determined according to the two channel estimation results after the channel transmission characteristic measurement is respectively carried out to obtain the corresponding first channel estimation result and the channel receiving characteristic measurement is carried out to obtain the corresponding second channel estimation result, the position (the first time domain position) of the path with the strongest power on the time domain channel in the first channel estimation result obtained by the channel transmission characteristic measurement is also determined, and the noise reduction processing is carried out on the obtained first channel estimation result according to the position and the preset filtering window function. In addition, according to the first time domain position, a second time domain position corresponding to the first time domain position in the second channel estimation result is determined, and noise reduction processing is performed on the obtained second channel estimation result according to the position and a preset filtering window function. And finally, determining a correction coefficient according to the first target channel estimation result and the second target channel estimation result after the noise reduction processing, and correcting the channel transmitting characteristic or the channel receiving characteristic according to the correction coefficient so as to achieve the aim of channel correction. According to the invention, when the correction coefficient is determined, the noise reduction processing is carried out on the channel estimation result, so that a more accurate correction coefficient can be obtained even under a scene with a low signal-to-noise ratio, and the accuracy of channel estimation can be further improved.
With reference to the third aspect, in a first implementation manner of the third aspect, the processor is further configured to determine a correlation value according to the first channel estimation result and the second channel estimation result, where the correlation value is used to indicate correlation of a transmission channel in a channel transmission characteristic measurement process and a channel reception characteristic measurement process; judging whether the correlation value is smaller than a preset threshold value or not; and if the correlation value is smaller than the preset threshold value, re-executing the step of obtaining the first channel estimation result and the second channel estimation result.
With reference to the first implementation manner of the third aspect, in a second implementation manner of the third aspect, the processor is specifically configured to cycle the second channel estimation result left and right K times, respectively; after the second channel estimation result is translated every time, obtaining a translated second channel estimation result; determining a calculation result of a correlation between the first channel estimation result and the translated second channel estimation result; and determining the maximum value in the K correlation calculation results as the correlation value.
With reference to the second implementation manner of the third aspect, in a third implementation manner of the third aspect, the processor is specifically configured to obtain a translation direction and a translation number corresponding to a maximum value in the correlation calculation result; and determining the second time domain position according to the first time domain position, the translation direction and the translation times.
With reference to the third aspect, or any one of the first, second, and third implementation manners of the third aspect, in a fourth implementation manner of the third aspect, the preset filter window function is a triangular filter window function or a trapezoidal filter window function.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a DMIMO system;
fig. 2 is a schematic diagram of a calibration signal transceiving flow between the RRUi and the RRU 0;
fig. 3 is a schematic flowchart of a channel calibration method according to an embodiment of the present invention;
fig. 4 is a diagram illustrating a first channel estimation result according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of windowing the first channel estimation result shown in FIG. 4 using a triangular filtering window function;
fig. 6 is a schematic flowchart of another channel calibration method according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a channel calibration device according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of another channel calibration apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments will be described clearly and completely with reference to the drawings in the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The channel correction method provided by the embodiment of the invention is applied to L TE systems, especially to a scenario that a L TE system includes a plurality of RRUs, that is, a DMIMO system as shown in FIG. 1.
It should be noted that, at present, the technology of channel correction in a single RRU is mature, so the channel correction method provided by the embodiment of the present invention is mainly used for correcting channels between different RRUs, and on the premise that channel correction has been implemented in each RRU.
As shown in fig. 3, an embodiment of the present invention provides a channel correction method, including:
201: and acquiring a first channel estimation result and a second channel estimation result.
The first channel estimation result is obtained by taking a first channel of a first Remote Radio Unit (RRU) as a channel to be corrected and taking a first channel of a second RRU as a reference channel and performing channel transmission characteristic measurement on the channel to be corrected, and the second channel estimation result is obtained by taking the first channel of the first RRU as the channel to be corrected and taking the first channel of the second RRU as the reference channel and performing channel receiving characteristic measurement on the channel to be corrected.
The first RRU referred in the embodiment of the present invention is any one of all RRUs, and the second RRU is another arbitrary RRU different from the first RRU among all RRUs. And because the channel correction has been completed in a single RRU, the first channel in the first RRU is any channel in the first RRU, and similarly, the first channel in the second RRU is any channel in the second RRU.
The specific implementation process of performing channel transmission characteristic measurement to obtain a first channel estimation result and performing channel reception characteristic measurement to obtain a second channel estimation result is similar to the description of the background art, the specific implementation of the finally obtained first channel estimation result is shown in formula (3), and the specific implementation of the second channel estimation result is shown in formula (5), so that the specific implementation of this part can refer to the prior art, and the embodiment of the present invention is not repeated.
For convenience of description, the first channel estimation result is denoted as hTx(n) recording the second channel estimation result as hRx(n)。
202: and determining a first time domain position according to the first channel estimation result and determining a second time domain position according to the first time domain position.
The first time domain position is the time domain position of the path with the strongest power on the time domain channel in the first channel estimation result; the second time domain position is a time domain position corresponding to the first time domain position in the second channel estimation result.
In the specific implementation process of this step, after the first channel estimation result is obtained, the first channel estimation result is analyzed to find the position of the path with the strongest power on the time domain channel, and the position is determined as the first time domain position.
Fig. 4 is a diagram illustrating a first channel estimation result. The diagram gives the distribution of power over the time domain. As can be seen from fig. 4, the power at the time domain position d is the strongest, and the time domain position d is the first time domain position.
After the first time domain position is determined, the second channel estimation result is analyzed, and the time domain position corresponding to the first time domain position is determined as the second time domain position.
203: performing noise reduction processing on the first channel estimation result according to the first time domain position and a preset filtering window function to obtain a first target channel estimation result; and performing noise reduction processing on the second channel estimation result according to the second time domain position and the preset filtering window function to obtain a second target channel estimation result.
The preset filter window function may be a triangular filter window function or a trapezoidal filter window function.
In the specific implementation process of this step, the first channel estimation result is subjected to windowing filtering by using a preset filtering window function, only the signal power of the area near the first time domain position is reserved, and the signal power of other areas is discarded to obtain the first target channel estimation result. Fig. 5 is a schematic diagram of windowing using a triangular filter window function. Because the noise is uniformly distributed in the whole time domain, only a few noises remain after windowing and filtering, and the signal-to-noise ratio can be improved.
Similarly, in order to improve the signal-to-noise ratio, the same filtering window function is adopted to perform windowing filtering on the second channel estimation result, only the signal power of the area near the second time domain position is reserved, and the signal power of other areas is discarded to obtain a second target channel estimation result.
For convenience of description, the first target channel estimation result is denoted as h'Tx(n), recording the second target channel estimation result as h'Rx(n)。
204: and determining a correction coefficient according to the first target channel estimation result and the second target channel estimation result, and performing channel correction according to the correction coefficient.
In the specific implementation process of the step, the first target channel estimation result h 'after noise reduction is obtained'Tx(n) and a second target channel estimation result h'Rx(n) FFT conversion to the frequency domain, denoted respectively as HTx(k) And HRx(k) Is prepared from HTx(k) And HRx(k) After the division, a correction factor was obtained and recorded as α (k).
After the correction coefficient is determined, channel transmission characteristic correction or channel reception characteristic correction of the channel may be performed according to the correction coefficient.
For example: the channel transmission characteristic Tx of the first channel of the first RRU may be determined1(k) The channel correction can be performed by dividing α (k) or α (k) can be divided by the receive channel characteristic Rx of the first channel of the first RRU1(k) The multiplication is used for channel correction.
Illustratively, the denoised time domain channel estimate is transformed to the frequency domain via an FFT to obtain a denoised frequency domain channel estimate HTx(k) And HRx(k) Then H will beTx(k) And HRx(k) The correction coefficient for RRU1 is obtained after the division:
wherein, Tx1(k) Indicating the transmit channel characteristic, Rx, of the first channel (channel to be corrected) of the first RRU1(k) Representing a receive channel characteristic, Rx, of a first channel of a first RRU0(k) Is shown asReceive channel characteristics, Tx, of a first channel (reference channel) of two RRUs0(k) Indicating the channel characteristics of the first channel of the second RRU.
When the receiving channel of the RRU1 is multiplied by the correction coefficient during channel estimation, the RRU1 and the RRU0 can have the same uplink and downlink reciprocity:
after the channel correction is completed, a BeamForming (BF) weight obtained according to the uplink channel estimation result may be used in the downlink channel.
It should be noted that, the embodiment of the present invention provides a specific implementation diagram for correcting a certain channel of an RRU, and the correction coefficient may be directly used to correct other channels in the RRU.
In the channel correction method provided in the embodiment of the present invention, after the channel transmission characteristic measurement is performed to obtain the corresponding first channel estimation result and the channel reception characteristic measurement is performed to obtain the corresponding second channel estimation result, unlike the prior art in which the correction coefficient is directly determined according to the ratio of the two channel estimation results, the position (first time domain position) of the path with the strongest power on the time domain channel in the first channel estimation result obtained by the channel transmission characteristic measurement is also determined, and the noise reduction processing is performed on the obtained first channel estimation result according to the position and the preset filter window function. In addition, according to the first time domain position, a second time domain position corresponding to the first time domain position in the second channel estimation result is determined, and noise reduction processing is performed on the obtained second channel estimation result according to the position and a preset filtering window function. And finally, determining a correction coefficient according to the first target channel estimation result and the second target channel estimation result after the noise reduction processing, and correcting the channel transmitting characteristic or the channel receiving characteristic according to the correction coefficient so as to achieve the aim of channel correction. According to the invention, when the correction coefficient is determined, the noise reduction processing is carried out on the channel estimation result, so that a more accurate correction coefficient can be obtained even under a scene with a low signal-to-noise ratio, and the accuracy of channel estimation can be further improved.
As shown in fig. 6, optionally, in order to increase the robustness of the channel estimation method provided by the present invention, before determining a first time domain position according to the first channel estimation result and determining a second time domain position according to the first time domain position in step 202, the method further includes:
301: and determining a correlation value according to the first channel estimation result and the second channel estimation result.
Wherein, the correlation value is used for expressing the correlation of the transmission channel in the transmission channel characteristic measurement process and the receiving channel characteristic measurement process.
In the specific implementation process of this step, a correlation peak value may be found by using a correlation peak detection method, and the correlation peak value is determined as the correlation value. The method specifically comprises the following steps: circularly left-shifting and right-shifting the second channel estimation result for K times respectively; after the second channel estimation result is translated every time, obtaining a translated second channel estimation result; determining a calculation result of a correlation between the first channel estimation result and the translated second channel estimation result; and determining the maximum value in the K correlation calculation results as the correlation value.
In other implementations of this step, the correlation value may also be determined by a feature matching technique. For example: according to the first channel estimation result, several characteristic items are found, the characteristic items are searched in the second channel estimation result, then the relation between the positions of the characteristic items in the first channel estimation result and the second channel estimation result is found, the offset is determined, after the first channel estimation result or the second channel estimation result is offset according to the offset, the correlation is calculated, and the calculation result is the correlation value pointed by the step. Reference is made to the prior art for a specific implementation of this technique.
302: and judging whether the correlation value is smaller than a threshold value.
If the correlation value is less than the threshold value, step 201 is executed again, otherwise step 202 and the following steps are executed.
The channel correction method provided by the embodiment of the invention increases the correlation of the transmission channel by detecting the transmission channel characteristic measurement and the reception channel characteristic measurement, judges whether the channel correction is suitable for being carried out, and carries out the channel correction when the correlation is higher, namely the channel change is smaller according to the judgment result, thereby improving the robustness of the channel correction.
As a supplement to the above method, the determining a second time domain position according to the first time domain position specifically includes: acquiring the translation direction and the translation times corresponding to the maximum value in the correlation calculation result; and determining the second time domain position according to the first time domain position, the translation direction and the translation times.
After determining the maximum value in the correlation calculation result by using a correlation peak detection method, recording a corresponding translation vector (including a translation direction and translation times), and translating the first time domain position according to the first time domain position and the translation vector to obtain a second time domain position. For example: and translating the second channel estimation result 3 times to the left, performing correlation calculation on the second channel estimation result and the first channel estimation result to obtain a maximum value, and translating the first time domain position 3 times to the right to obtain a second time domain position.
In order to more clearly explain the channel correction method provided by the embodiment of the present invention, the correlation peak detection method and the windowing and denoising process are described in detail as follows.
1. And (3) detection of a correlation peak:
suppose that the first channel estimation result obtained by the channel characteristic measurement is hTx(n) a second channel estimation result h obtained by the reception channel characteristic measurementRx(n), wherein n is more than or equal to 0 and less than or equal to L.
Circularly left-shifting (tau is more than or equal to 0) or right-shifting (tau is less than 0) the second channel estimation result to obtain:
wherein n is more than or equal to K, tau is an integer, and K is a preset correlation peak value searching range. H after each translation is calculated according to equation (4)Tx(n) and
the correlation of (a):
according to the correlation calculation result obtained after each translation, the peak value c of the correlation is searchedMax(τ) and recording the corresponding translation vector τMax。
And further judging whether the channel correction is suitable or not according to the correlation peak value. The specific process is as follows: if the correlation peak value is smaller than the threshold value, the channel change is considered to be more severe and not suitable for channel correction, the correction failure is realized, and the correction process is restarted. Otherwise, the subsequent correction process is continued.
2. Windowing and noise reduction:
assuming that the preset filter window function is a triangular filter window function, the window coefficient is calculated as the following formula (5), where M is the window width:
assuming that the first time domain position determined according to the first channel estimation result is d, the windowing coefficient a (n) is circularly shifted to the right by d points (if d is<0 is circularly moved left to d point) to obtain a new window function a'Tx(n) windowing the first channel estimation result with the new window function according to equation (6):
h'Tx(n)＝hTx(n)·a'Tx(n)n＝0,...,L (6)
similarly, when the second channel estimation result is denoised by the triangular filtering window function, the translation vector corresponding to the correlation peak value is tauMaxAnd determining the second time domain position as d + tau by the first time domain position dMaxThen, if (d + τ)Max)>0, then the windowing coefficient a (n) is circularly right-shifted by d + tauMaxPoint, if (d + τ)Max)<0 then cycle left shift by- (d + τ)Max) Point, and then obtain a new window function a'Rx(n) windowing the second channel estimation result with the new window function according to equation (7):
h'Rx(n)＝hRx(n)·a'Rx(n)n＝0,...,L (7)
as shown in fig. 7, as a specific application of the channel correction method provided in the embodiment of the present invention, an embodiment of the present invention further provides a channel correction apparatus, including:
an obtaining module 401, configured to obtain a first channel estimation result and a second channel estimation result, where the first channel estimation result is obtained by taking a first channel of a first radio remote unit RRU as a channel to be corrected and taking the first channel of a second RRU as a reference channel, and performing channel transmission characteristic measurement on the channel to be corrected, and the second channel estimation result is obtained by taking the first channel of the first RRU as the channel to be corrected and taking the first channel of the second RRU as the reference channel, and performing channel reception characteristic measurement on the channel to be corrected;
a processing module 402, configured to determine a first time domain position according to the first channel estimation result and determine a second time domain position according to the first time domain position; the first time domain position is the time domain position of the path with the strongest power on the time domain channel in the first channel estimation result; the second time domain position is a time domain position corresponding to the first time domain position in the second channel estimation result;
performing noise reduction processing on the first channel estimation result according to the first time domain position and a preset filtering window function to obtain a first target channel estimation result; performing noise reduction processing on the second channel estimation result according to the second time domain position and the preset filtering window function to obtain a second target channel estimation result;
and determining a correction coefficient according to the first target channel estimation result and the second target channel estimation result, and performing channel correction according to the correction coefficient.
The channel correction device provided in the embodiment of the present invention is different from the prior art that a correction coefficient is directly determined according to two channel estimation results after performing channel transmission characteristic measurement to obtain a corresponding first channel estimation result and performing channel reception characteristic measurement to obtain a corresponding second channel estimation result, and the present invention also determines a position (a first time domain position) of a path with strongest power on a time domain channel in the first channel estimation result obtained by channel transmission characteristic measurement, and performs noise reduction processing on the obtained first channel estimation result according to the position and a preset filter window function. In addition, according to the first time domain position, a second time domain position corresponding to the first time domain position in the second channel estimation result is determined, and noise reduction processing is performed on the obtained second channel estimation result according to the position and a preset filtering window function. And finally, determining a correction coefficient according to the first target channel estimation result and the second target channel estimation result after the noise reduction processing, and correcting the channel transmitting characteristic or the channel receiving characteristic according to the correction coefficient so as to achieve the aim of channel correction. According to the invention, when the correction coefficient is determined, the noise reduction processing is carried out on the channel estimation result, so that a more accurate correction coefficient can be obtained even under a scene with a low signal-to-noise ratio, and the accuracy of channel estimation can be further improved.
Optionally, the processing module 402 is further configured to determine a correlation value according to the first channel estimation result and the second channel estimation result, where the correlation value is used to indicate correlation of a transmission channel in a channel transmission characteristic measurement process and a channel reception characteristic measurement process; judging whether the correlation value is smaller than a preset threshold value or not; and if the correlation value is smaller than the preset threshold value, re-executing the step of obtaining the first channel estimation result and the second channel estimation result.
Further, the processing module 402 is specifically configured to cycle the second channel estimation result left and right K times respectively; after the second channel estimation result is translated every time, obtaining a translated second channel estimation result; determining a calculation result of a correlation between the first channel estimation result and the translated second channel estimation result; and determining the maximum value in the K correlation calculation results as the correlation value.
Further, the processing module 402 is specifically configured to obtain a translation direction and a translation number corresponding to a maximum value in the correlation calculation result; and determining the second time domain position according to the first time domain position, the translation direction and the translation times.
Further, the preset filter window function is a triangular filter window function or a trapezoidal filter window function.
As shown in fig. 8, as a specific application of the channel correction method provided in the embodiment of the present invention, an embodiment of the present invention further provides a channel correction apparatus, including: a processor 501, a memory 502, and a bus 503, the processor 501 and the memory 502 communicating with each other through the bus 503.
The processor 501 is configured to obtain a first channel estimation result and a second channel estimation result, where the first channel estimation result is obtained by taking a first channel of a first radio remote unit RRU as a channel to be corrected and taking the first channel of a second RRU as a reference channel and performing channel transmission characteristic measurement on the channel to be corrected, and the second channel estimation result is obtained by taking the first channel of the first RRU as the channel to be corrected and taking the first channel of the second RRU as the reference channel and performing channel reception characteristic measurement on the channel to be corrected; determining a first time domain position according to the first channel estimation result and determining a second time domain position according to the first time domain position; the first time domain position is the time domain position of the path with the strongest power on the time domain channel in the first channel estimation result; the second time domain position is a time domain position corresponding to the first time domain position in the second channel estimation result; performing noise reduction processing on the first channel estimation result according to the first time domain position and a preset filtering window function to obtain a first target channel estimation result; performing noise reduction processing on the second channel estimation result according to the second time domain position and the preset filtering window function to obtain a second target channel estimation result; and determining a correction coefficient according to the first target channel estimation result and the second target channel estimation result, and performing channel correction according to the correction coefficient.
The channel correction device provided by the invention is different from the prior art that the correction coefficient is directly determined according to the two channel estimation results after the channel transmission characteristic measurement is respectively carried out to obtain the corresponding first channel estimation result and the channel receiving characteristic measurement is carried out to obtain the corresponding second channel estimation result, the position (the first time domain position) of the path with the strongest power on the time domain channel in the first channel estimation result obtained by the channel transmission characteristic measurement is also determined, and the noise reduction processing is carried out on the obtained first channel estimation result according to the position and the preset filtering window function. In addition, according to the first time domain position, a second time domain position corresponding to the first time domain position in the second channel estimation result is determined, and noise reduction processing is performed on the obtained second channel estimation result according to the position and a preset filtering window function. And finally, determining a correction coefficient according to the first target channel estimation result and the second target channel estimation result after the noise reduction processing, and correcting the channel transmitting characteristic or the channel receiving characteristic according to the correction coefficient so as to achieve the aim of channel correction. According to the invention, when the correction coefficient is determined, the noise reduction processing is carried out on the channel estimation result, so that a more accurate correction coefficient can be obtained even under a scene with a low signal-to-noise ratio, and the accuracy of channel estimation can be further improved.
Optionally, the processor 501 is further configured to determine a correlation value according to the first channel estimation result and the second channel estimation result, where the correlation value is used to indicate correlation of a transmission channel in a channel transmission characteristic measurement process and a channel reception characteristic measurement process; judging whether the correlation value is smaller than a preset threshold value or not; and if the correlation value is smaller than the preset threshold value, re-executing the step of obtaining the first channel estimation result and the second channel estimation result.
Further, the processor 501 is specifically configured to cycle the second channel estimation result left and right K times respectively; after the second channel estimation result is translated every time, obtaining a translated second channel estimation result; determining a calculation result of a correlation between the first channel estimation result and the translated second channel estimation result; and determining the maximum value in the K correlation calculation results as the correlation value.
Further, the processor 501 is specifically configured to obtain a translation direction and a translation number corresponding to a maximum value in the correlation calculation result; and determining the second time domain position according to the first time domain position, the translation direction and the translation times.
Further, the preset filter window function is a triangular filter window function or a trapezoidal filter window function.
The memory 502 is used for storing program codes required by the processor 501.
It should be noted that the processor 501 according to the embodiment of the present invention may be a single processor, or may be a general term for multiple processing elements. For example, the processor 501 may be a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement embodiments of the present invention, such as: one or more microprocessors (digital signal processors, DSP for short), or one or more field programmable Gate arrays (FPGA for short).
The memory 502 may be a single storage device or a combination of storage elements, and is used for storing executable program codes and the like. And the memory 502 may include a Random Access Memory (RAM) or a non-volatile memory (non-volatile memory), such as a magnetic disk memory, a Flash memory (Flash), and the like.
The bus 503 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus 503 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 8, but this is not intended to represent only one bus or type of bus.
Through the above description of the embodiments, those skilled in the art will clearly understand that the present invention may be implemented by software plus necessary general hardware, and certainly may also be implemented by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present invention may be substantially implemented or a part of the technical solutions contributing to the prior art may be embodied in the form of a software product, which is stored in a readable storage medium, such as a floppy disk, a hard disk, or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention.
Claims (15)
1. A method of channel correction, comprising:
obtaining a first channel estimation result and a second channel estimation result, wherein the first channel estimation result is obtained by taking a first channel of a first Radio Remote Unit (RRU) as a channel to be corrected and taking a first channel of a second RRU as a reference channel and performing channel transmission characteristic measurement on the channel to be corrected, and the second channel estimation result is obtained by taking the first channel of the first RRU as the channel to be corrected and taking the first channel of the second RRU as the reference channel and performing channel receiving characteristic measurement on the channel to be corrected;
determining a first time domain position according to the first channel estimation result and determining a second time domain position according to the first time domain position; the first time domain position is the time domain position of the path with the strongest power on the time domain channel in the first channel estimation result; the second time domain position is a time domain position corresponding to the first time domain position in the second channel estimation result;
performing noise reduction processing on the first channel estimation result according to the first time domain position and a preset filtering window function to obtain a first target channel estimation result; performing noise reduction processing on the second channel estimation result according to the second time domain position and the preset filtering window function to obtain a second target channel estimation result;
and determining a correction coefficient according to the first target channel estimation result and the second target channel estimation result, and performing channel correction according to the correction coefficient.
2. The method of claim 1, wherein determining a first time domain position based on the first channel estimation result and determining a second time domain position based on the first time domain position further comprises:
determining a correlation value according to the first channel estimation result and the second channel estimation result, wherein the correlation value is used for representing the correlation of a transmission channel in the transmission channel characteristic measurement process and the reception channel characteristic measurement process;
judging whether the correlation value is smaller than a preset threshold value or not;
and if the correlation value is smaller than the preset threshold value, re-executing the step of obtaining the first channel estimation result and the second channel estimation result.
3. The method according to claim 2, wherein the determining a correlation value according to the first channel estimation result and the second channel estimation result specifically includes:
circularly left-shifting and right-shifting the second channel estimation result for K times respectively;
after the second channel estimation result is translated every time, obtaining a translated second channel estimation result;
determining a calculation result of a correlation between the first channel estimation result and the translated second channel estimation result;
and determining the maximum value in the K correlation calculation results as the correlation value.
4. The method according to claim 3, wherein the determining a second time domain position from the first time domain position specifically comprises:
acquiring the translation direction and the translation times corresponding to the maximum value in the correlation calculation result;
and determining the second time domain position according to the first time domain position, the translation direction and the translation times.
5. The method according to any of claims 1-4, wherein the predetermined filter window function is a triangular filter window function or a trapezoidal filter window function.
6. A lane correction apparatus, comprising:
an obtaining module, configured to obtain a first channel estimation result and a second channel estimation result, where the first channel estimation result is obtained by taking a first channel of a first radio remote unit RRU as a channel to be corrected and taking the first channel of a second RRU as a reference channel and performing channel transmission characteristic measurement on the channel to be corrected, and the second channel estimation result is obtained by taking the first channel of the first RRU as the channel to be corrected and taking the first channel of the second RRU as the reference channel and performing channel reception characteristic measurement on the channel to be corrected;
a processing module, configured to determine a first time domain position according to the first channel estimation result and determine a second time domain position according to the first time domain position; the first time domain position is the time domain position of the path with the strongest power on the time domain channel in the first channel estimation result; the second time domain position is a time domain position corresponding to the first time domain position in the second channel estimation result;
the first channel estimation result is subjected to noise reduction processing according to the first time domain position and a preset filtering window function to obtain a first target channel estimation result; performing noise reduction processing on the second channel estimation result according to the second time domain position and the preset filtering window function to obtain a second target channel estimation result;
and determining a correction coefficient according to the first target channel estimation result and the second target channel estimation result, and performing channel correction according to the correction coefficient.
7. The apparatus of claim 6,
the processing module is further configured to determine a correlation value according to the first channel estimation result and the second channel estimation result, where the correlation value is used to indicate correlation of a transmission channel in a transmission channel characteristic measurement process and a reception channel characteristic measurement process;
judging whether the correlation value is smaller than a preset threshold value or not;
and if the correlation value is smaller than the preset threshold value, re-executing the step of obtaining the first channel estimation result and the second channel estimation result.
8. The apparatus of claim 7,
the processing module is specifically configured to cycle the second channel estimation result left and right K times respectively;
after the second channel estimation result is translated every time, obtaining a translated second channel estimation result;
determining a calculation result of a correlation between the first channel estimation result and the translated second channel estimation result;
and determining the maximum value in the K correlation calculation results as the correlation value.
9. The apparatus of claim 8,
the processing module is specifically configured to obtain a translation direction and translation times corresponding to a maximum value in the correlation calculation result;
and determining the second time domain position according to the first time domain position, the translation direction and the translation times.
10. The apparatus according to any one of claims 6-9, wherein the predetermined filter window function is a triangular filter window function or a trapezoidal filter window function.
11. A lane correction apparatus, comprising:
the processor is configured to obtain a first channel estimation result and a second channel estimation result, where the first channel estimation result is obtained by taking a first channel of a first radio remote unit RRU as a channel to be corrected and taking the first channel of a second RRU as a reference channel and performing channel transmission characteristic measurement on the channel to be corrected, and the second channel estimation result is obtained by taking the first channel of the first RRU as the channel to be corrected and taking the first channel of the second RRU as the reference channel and performing channel reception characteristic measurement on the channel to be corrected;
determining a first time domain position according to the first channel estimation result and determining a second time domain position according to the first time domain position; the first time domain position is the time domain position of the path with the strongest power on the time domain channel in the first channel estimation result; the second time domain position is a time domain position corresponding to the first time domain position in the second channel estimation result;
performing noise reduction processing on the first channel estimation result according to the first time domain position and a preset filtering window function to obtain a first target channel estimation result; performing noise reduction processing on the second channel estimation result according to the second time domain position and the preset filtering window function to obtain a second target channel estimation result;
and determining a correction coefficient according to the first target channel estimation result and the second target channel estimation result, and performing channel correction according to the correction coefficient.
12. The apparatus of claim 11,
the processor is further configured to determine a correlation value according to the first channel estimation result and the second channel estimation result, where the correlation value is used to indicate correlation of a transmission channel in a transmission channel characteristic measurement process and a reception channel characteristic measurement process;
judging whether the correlation value is smaller than a preset threshold value or not;
and if the correlation value is smaller than the preset threshold value, re-executing the step of obtaining the first channel estimation result and the second channel estimation result.
13. The apparatus of claim 12,
the processor is specifically configured to cycle the second channel estimation result left and right K times, respectively;
after the second channel estimation result is translated every time, obtaining a translated second channel estimation result;
determining a calculation result of a correlation between the first channel estimation result and the translated second channel estimation result;
and determining the maximum value in the K correlation calculation results as the correlation value.
14. The apparatus of claim 13,
the processor is specifically configured to obtain a translation direction and a translation number corresponding to a maximum value in the correlation calculation result;
and determining the second time domain position according to the first time domain position, the translation direction and the translation times.
15. The apparatus according to any of claims 11-14, wherein the predetermined filter window function is a triangular filter window function or a trapezoidal filter window function.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610129688.2A CN107171981B (en) | 2016-03-08 | 2016-03-08 | Channel correction method and device |
| PCT/CN2017/073102 WO2017152732A1 (en) | 2016-03-08 | 2017-02-08 | Channel correction method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610129688.2A CN107171981B (en) | 2016-03-08 | 2016-03-08 | Channel correction method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107171981A CN107171981A (en) | 2017-09-15 |
| CN107171981B true CN107171981B (en) | 2020-07-10 |
Family
ID=59789003
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610129688.2A Active CN107171981B (en) | 2016-03-08 | 2016-03-08 | Channel correction method and device |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN107171981B (en) |
| WO (1) | WO2017152732A1 (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108173581B (en) * | 2017-12-25 | 2020-12-18 | 南京邮电大学 | Error correction method under channel nonreciprocal condition in multi-antenna wireless communication system |
| CN108111445B (en) * | 2017-12-29 | 2020-01-14 | 京信通信系统（中国）有限公司 | Digital front end equalization method and device |
| CN110971377B (en) * | 2018-09-30 | 2021-09-21 | 华为技术有限公司 | Data transmission method and device |
| CN111726172B (en) * | 2019-03-22 | 2021-10-26 | 华为技术有限公司 | Method and device for channel correction |
| CN114866375B (en) * | 2022-04-01 | 2023-07-25 | 新华三技术有限公司 | Channel estimation method, device, storage medium and electronic equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2011150533A1 (en) * | 2010-06-03 | 2011-12-08 | Nokia Siemens Networks Oy | Base station calibration |
| CN102891708A (en) * | 2012-09-17 | 2013-01-23 | 华为技术有限公司 | Correction method, device and system for transceiving channel response, and base band unit (BBU) |
| CN103378886A (en) * | 2012-04-13 | 2013-10-30 | 中国移动通信集团公司 | RRU antenna calibration method, apparatus and system |
| CN103457651A (en) * | 2012-05-31 | 2013-12-18 | 华为技术有限公司 | Joint channel correcting method, joint channel correcting unit and base stations |
| CN103905345A (en) * | 2012-12-27 | 2014-07-02 | 华为技术有限公司 | Channel correction device, method and system |
-
2016
- 2016-03-08 CN CN201610129688.2A patent/CN107171981B/en active Active
-
2017
- 2017-02-08 WO PCT/CN2017/073102 patent/WO2017152732A1/en active Application Filing
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2011150533A1 (en) * | 2010-06-03 | 2011-12-08 | Nokia Siemens Networks Oy | Base station calibration |
| CN103378886A (en) * | 2012-04-13 | 2013-10-30 | 中国移动通信集团公司 | RRU antenna calibration method, apparatus and system |
| CN103457651A (en) * | 2012-05-31 | 2013-12-18 | 华为技术有限公司 | Joint channel correcting method, joint channel correcting unit and base stations |
| CN102891708A (en) * | 2012-09-17 | 2013-01-23 | 华为技术有限公司 | Correction method, device and system for transceiving channel response, and base band unit (BBU) |
| CN103905345A (en) * | 2012-12-27 | 2014-07-02 | 华为技术有限公司 | Channel correction device, method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2017152732A1 (en) | 2017-09-14 |
| CN107171981A (en) | 2017-09-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107171981B (en) | Channel correction method and device | |
| US9686715B2 (en) | Interference mitigation for positioning reference signals | |
| US9706358B2 (en) | Distance determination of a mobile device | |
| WO2015119635A1 (en) | Distance estimation | |
| EP2381587B1 (en) | Method and device for determining antenna cooperation set, method and device for determining base station cooperation set | |
| WO2012068863A1 (en) | Method and apparatus for adaptively canceling multi-antenna diversity combination interferences | |
| CN112585874B (en) | Noise floor estimation for signal detection | |
| WO2016183957A1 (en) | Order reducing method and device for antenna channel | |
| US10720989B2 (en) | Apparatus and method for transmitting and receiving signal in communication system | |
| CN106878225B (en) | A kind of method and device that device-fingerprint is separated with channel | |
| US11044000B2 (en) | Scheduling method, base station, and terminal | |
| WO2020125616A1 (en) | Prach detection method and device | |
| WO2017080359A1 (en) | Interference cancellation method and apparatus, and base station | |
| CN113938358B (en) | Time delay determination method and terminal | |
| CN103905072A (en) | Wireless communication receiver, interference elimination method and device thereof and signal demodulation method | |
| CN111357216B (en) | Method and device for locating a communication device | |
| CN115314130A (en) | Baseline calibration method and device, network side equipment and storage medium | |
| EP3526908B1 (en) | Relative uplink channel estimation | |
| WO2015143727A1 (en) | Discontinuous transmission detection apparatus and method | |
| WO2022222896A1 (en) | Sending and receiving methods and apparatus, electronic device, and storage medium | |
| KR102470863B1 (en) | Method and appatus of interference measurement | |
| CN107040937B (en) | The detection method of user terminal and its adjacent cell | |
| WO2024035383A1 (en) | Signal pathways separation for positioning enhancements | |
| CN105007111B (en) | The method and apparatus of channel estimation in extensive mimo system with dynamic training design | |
| CN115314992A (en) | Positioning method, positioning device, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200618 Address after: 518000 Baoan District Xin'an street, Shenzhen, Guangdong, No. 625, No. 625, Nuo platinum Plaza, Applicant after: SHENZHEN SHANGGE INTELLECTUAL PROPERTY SERVICE Co.,Ltd. Address before: 518129 Bantian HUAWEI headquarters office building, Longgang District, Guangdong, Shenzhen Applicant before: HUAWEI TECHNOLOGIES Co.,Ltd. Effective date of registration: 20200618 Address after: 311800 Anping community, Jiyang street, Zhuji City, Shaoxing City, Zhejiang Province 3-2-2408 Applicant after: Zhuji shangnuo hardware business department Address before: 518000 Baoan District Xin'an street, Shenzhen, Guangdong, No. 625, No. 625, Nuo platinum Plaza, Applicant before: SHENZHEN SHANGGE INTELLECTUAL PROPERTY SERVICE Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20211201 Address after: 311800 Anhua town Anhua village, Zhuji City, Shaoxing City, Zhejiang Province Patentee after: Zhuji Qingchen Science and Technology Service Co.,Ltd. Address before: 311800 3-2-2408 Anping community, Jiyang street, Zhuji City, Shaoxing City, Zhejiang Province Patentee before: Zhuji shangnuo hardware business department |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Channel correction method and device Effective date of registration: 20211215 Granted publication date: 20200710 Pledgee: Taozhu sub branch of Zhejiang Zhuji Rural Commercial Bank Co.,Ltd. Pledgor: Zhuji Qingchen Science and Technology Service Co.,Ltd. Registration number: Y2021980014840 |
|
| PC01 | Cancellation of the registration of the contract for pledge of patent right | ||
| PC01 | Cancellation of the registration of the contract for pledge of patent right |
Date of cancellation: 20230328 Granted publication date: 20200710 Pledgee: Taozhu sub branch of Zhejiang Zhuji Rural Commercial Bank Co.,Ltd. Pledgor: Zhuji Qingchen Science and Technology Service Co.,Ltd. Registration number: Y2021980014840 |