WO2012068858A1 - Procédé et système correspondant pour l'estimation du bruit de brouillage dans la même voie à large bande et l'élimination du brouillage - Google Patents

Procédé et système correspondant pour l'estimation du bruit de brouillage dans la même voie à large bande et l'élimination du brouillage Download PDF

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WO2012068858A1
WO2012068858A1 PCT/CN2011/075221 CN2011075221W WO2012068858A1 WO 2012068858 A1 WO2012068858 A1 WO 2012068858A1 CN 2011075221 W CN2011075221 W CN 2011075221W WO 2012068858 A1 WO2012068858 A1 WO 2012068858A1
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Prior art keywords
data
pilot
subcarrier
interference noise
interference
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PCT/CN2011/075221
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English (en)
Chinese (zh)
Inventor
朱登魁
宁迪浩
肖华华
鲁照华
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中兴通讯股份有限公司
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Publication of WO2012068858A1 publication Critical patent/WO2012068858A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04J—MULTIPLEX COMMUNICATION
    • H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
    • H04J11/0023—Interference mitigation or co-ordination
    • H04J11/0026—Interference mitigation or co-ordination of multi-user interference
    • H04J11/0036—Interference mitigation or co-ordination of multi-user interference at the receiver
    • H04J11/0046—Interference mitigation or co-ordination of multi-user interference at the receiver using joint detection algorithms
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H04B17/345—Interference values
    • 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
    • H04L25/0202—Channel estimation
    • H04L25/0224—Channel estimation using sounding signals

Definitions

  • the present invention relates to Orthogonal Frequency Division Multiplexing (OFDM) or Orthogonal Frequency Division Multiple Access (Orthogonal Frequency Division Multiple Access).
  • OFDMA Orthogonal Frequency Division Multiplexing
  • Orthogonal Frequency Division Multiple Access Orthogonal Frequency Division Multiple Access
  • the OFDMA system in particular, relates to a method for wideband co-channel interference noise estimation and interference suppression in an OFDM/OFDMA system, and a corresponding system.
  • Multi-antenna technology is a major breakthrough in smart antenna technology in the field of wireless mobile communications. This technology can multiply the capacity and spectrum utilization of communication systems without increasing bandwidth. It can also use multipath to mitigate multipath fading. It can effectively eliminate channel interference, improve channel reliability, and reduce bit error rate. It is a key technology used in next-generation mobile communication systems. Multi-antenna technology has been widely used in many wireless broadband systems such as Long Term Evolution (LTE) and World Interoperability for Microwave Access (WiMAX).
  • LTE Long Term Evolution
  • WiMAX World Interoperability for Microwave Access
  • co-channel interference between adjacent cells is one of the most important factors leading to a decline in communication quality, as shown in FIG.
  • the interference source is a data signal sent by the neighboring cell user on the same time-frequency resource
  • the receiver must be able to accurately estimate the channel coefficient, the interference channel coefficient or the interference feature of the desired data to be more accurate.
  • Data detection but when the data subcarriers and pilot subcarriers between adjacent cells coincide at the time-frequency position, it will bring great difficulty to the interference estimation, because the coincidence of the interference pilots will lead to the degradation of the channel estimation quality. That is, the channel estimation itself carries the interference information, so that the interference noise feature estimation becomes very difficult or very inaccurate.
  • An object of the present invention is to provide a method for estimating wideband co-channel interference noise and a corresponding system to solve the problem of inaccurate estimation of interference noise characteristics when adjacent cells have co-channel interference.
  • the present invention provides a method for wideband co-channel interference noise estimation, which is used for receiving at an receiving end of an Orthogonal Frequency Division Multiplexing (OFDM) or Orthogonal Frequency Division Multiple Access (OFDMA) system.
  • OFDM Orthogonal Frequency Division Multiplexing
  • OFDMA Orthogonal Frequency Division Multiple Access
  • the method when the method performs interference noise estimation on a data stream carried by the method, the method includes: a pilot that is sent by the transmitting end on the pilot subcarrier according to each pilot subcarrier corresponding to the data stream. Calculating an interference noise covariance matrix of the pilot subcarrier position by using a frequency signal, a received signal on the pilot subcarrier, and a channel coefficient estimation value of the pilot subcarrier position; and each data corresponding to the data stream a weighted average of the interference noise covariance matrix of each pilot subcarrier position corresponding to the data stream is used as an interference noise covariance matrix of the data subcarrier position; wherein the interference suppression region is in the received data bearer region A time-frequency two-dimensional resource block.
  • the weighted average of the interference noise covariance matrix of each pilot subcarrier position corresponding to the data stream is used as the interference noise covariance of the data subcarrier position for each data subcarrier corresponding to the data stream.
  • the interference noise covariance matrix of the data subcarrier position is calculated by using equation (a):
  • the interference noise covariance matrix of the second pilot subcarrier position ⁇ , ⁇ , /, and / is the number of pilot subcarriers corresponding to the data stream in the interference suppression region.
  • the method further includes: before calculating the interference noise covariance matrix of the data subcarrier position according to equation (a), dividing the interference suppression region into one or more interference noise estimation units, each interference noise estimation unit being a time domain a two-dimensional resource block and including at least one pilot subcarrier and one data subcarrier; when calculating an interference noise covariance matrix of a data subcarrier position according to equation (a), for each pilot subcarrier position in the same interference noise estimation unit The interference noise covariance matrix is assigned the same weight.
  • the method further includes: when performing interference noise estimation on a data stream carried by the method in an interference suppression region, the interference suppression region is further divided into an interference noise estimation unit, and each interference noise estimation
  • the unit is a time domain two-dimensional resource block and includes at least one pilot subcarrier and one data subcarrier, which is a positive integer; for each data subcarrier corresponding to the data stream, each pilot subcarrier position corresponding to the data stream.
  • the weighted average of the interference noise covariance matrix is used as the interference noise covariance matrix of the data subcarrier position, and the interference noise covariance matrix of the data subcarrier position is calculated by using equation (b): among them,
  • R M _ P ( ) is an interference noise covariance matrix of the first pilot subcarrier position corresponding to the data stream in the interference suppression region;
  • each pilot subcarrier corresponding to the data stream is based on a pilot signal transmitted by the transmitting end on the pilot subcarrier, a received signal on the pilot subcarrier, and the pilot subcarrier.
  • P is the interference noise covariance of the first pilot subcarrier position corresponding to the data stream in the interference suppression region
  • the interference suppression region is used by each method for each interference suppression region included in the received data bearer region
  • Each data stream carried is subjected to interference noise estimation, or only when the number of pilot subcarriers corresponding to one or more data streams carried in the interference suppression region is greater than or equal to a set value.
  • the one or more data streams in the interference suppression region perform interference noise estimation, and the set value is greater than or equal to the number of receiving antennas at the receiving end.
  • the method is used in an interference suppression region.
  • the channel coefficient estimation value of each pilot subcarrier position corresponding to the data stream is calculated as follows: the received signal on the pilot subcarrier and the transmitting end are in the The conjugate of the pilot signal transmitted on the pilot subcarrier is multiplied to obtain an estimated channel coefficient of the pilot subcarrier position.
  • the present invention also provides a system for wideband co-channel interference noise estimation, which is used for The receiving end of an Orthogonal Frequency Division Multiplexing (OFDM) or Orthogonal Frequency Division Multiple Access (OFDMA) system interferes with a data stream carried in an interference suppression region Sound estimation, the number of reception interference suppression area
  • the system includes: a first device, configured to: receive, on each pilot subcarrier corresponding to the data stream, a received signal and a transmitting end on the pilot subcarrier The conjugate of the pilot signal transmitted on the pilot subcarrier is multiplied to obtain an estimated channel coefficient of the pilot subcarrier position; and the second device is configured to: each pilot corresponding to the data stream
  • the carrier according to the pilot signal sent by the transmitting end on the pilot subcarrier, the received signal on the pilot subcarrier, and the channel coefficient estimation value of the pilot subcarrier position, the interference of the pilot subcarrier position is calculated.
  • a noise covariance matrix configured to: use, as the data, a weighted average of the interference noise covariance matrix of each pilot subcarrier position corresponding to the data stream for each data subcarrier corresponding to the data stream Interference noise covariance matrix for subcarrier position.
  • the system further includes: a fourth device, configured to: divide the interference suppression region into interference noise estimation units, each interference noise estimation unit is a time domain two-dimensional resource block and includes at least one pilot subcarrier and one The data subcarrier is a positive integer; the third device is configured to calculate, as follows, a weighted average of the interference noise covariance matrix of each pilot subcarrier position corresponding to the data stream as the interference noise of the data subcarrier position Covariance matrix: among them,
  • a set of index I of pilot subcarriers included in the first interference noise estimation unit 1, ⁇ ⁇ ⁇ , / , / is the number of pilot subcarriers corresponding to the data stream;
  • P W is an interference noise covariance matrix of the first pilot subcarrier position corresponding to the data stream; and, when calculating ⁇ _ D , is assigned to each pilot subcarrier in the third interference noise estimation unit
  • ⁇ 1,0 ⁇ ⁇ ⁇ 1 ,
  • is the number of pilot subcarriers included
  • the second device is set to each pilot subcarrier corresponding to the data stream according to the following formula, and the pilot signal sent by the transmitting end on the pilot subcarrier, the pilot subcarrier The received signal on the carrier and the channel coefficient estimate of the pilot subcarrier position are calculated, and the interference noise covariance matrix of the pilot subcarrier position is calculated:
  • the number of corresponding pilot subcarriers, /) is the pilot signal transmitted by the transmitting end on the first pilot subcarrier
  • W is the received signal on the first pilot subcarrier, which is the first pilot.
  • the estimated channel coefficient of the subcarrier position, ( ( )- ( ( ) ⁇ represents the conjugate transpose of the matrix ( ( )-.
  • the above-mentioned wideband co-channel interference estimation method and system can obtain more accurate interference noise characteristics, which is beneficial to improve the performance of interference suppression and the accuracy of data detection.
  • Another object of the present invention is to provide a method for suppressing broadband co-channel interference and a corresponding system to solve the problem of poor interference suppression performance when adjacent cells have co-channel interference.
  • the present invention provides a method for wideband co-channel interference suppression, which is applied to a receiving end of an Orthogonal Frequency Division Multiplexing (OFDM) or Orthogonal Frequency Division Multiple Access (OFDMA) system, in an interference suppression manner.
  • OFDM Orthogonal Frequency Division Multiplexing
  • OFDMA Orthogonal Frequency Division Multiple Access
  • the channel coefficient estimation value and the interference noise covariance matrix of each data subcarrier position for each data subcarrier corresponding to the data stream, the weighted average of the channel coefficient estimation values of the pilot subcarrier positions corresponding to the data stream is taken as Channel coefficient estimation value of the data subcarrier position; each data subcarrier corresponding to the data stream, according to the received signal on the data subcarrier, and the channel coefficient estimation value and the interference noise covariance matrix of the data subcarrier position Calculating a data signal estimate on the data subcarrier; wherein the interference suppression region is a time-frequency two-dimensional resource block in the received data bearer region.
  • the method further includes: when performing interference suppression on a data stream carried by the method in an interference suppression region, further dividing the interference suppression region into f channel estimation units, each channel estimation unit being a time domain
  • the two-dimensional resource block includes at least one pilot subcarrier and one data subcarrier, where f is a positive integer; for each data subcarrier corresponding to the data stream, a channel coefficient of each pilot subcarrier position corresponding to the data stream In the step of weighting the average of the estimated values as the channel coefficient estimate of the data subcarrier position, the channel coefficient estimate of the data subcarrier position is calculated using equation (d): among them,
  • a set of indices of pilot subcarriers included in the first channel estimation unit 1, ⁇ ⁇ ⁇ , /, / is the number of pilot subcarriers corresponding to the data stream; is the data in the interference suppression region Channel coefficient estimates for the first pilot subcarrier position corresponding to the stream; oc kl is calculated, giving the first / channel estimation unit of each pilot subcarrier ⁇ ⁇ () right ⁇
  • ⁇ ′′ 1 , 0 ⁇ ⁇ 1 ,
  • indicates the number of pilot subcarriers included, and is at weight
  • each interference suppression region included in the received data bearer region is subjected to interference suppression for each data flow carried by the interference suppression region by using the method, or is only carried in the interference suppression region.
  • the method is used to perform interference suppression on the one or more data streams in the interference suppression region, where the set value is greater than Or equal to the number of receiving antennas at the receiving end.
  • the present invention also provides a system for wideband co-channel interference suppression, which is applied to a receiving end of an Orthogonal Frequency Division Multiplexing (OFDM) or Orthogonal Frequency Division Multiple Access (OFDMA) system, in an interference suppression region.
  • OFDM Orthogonal Frequency Division Multiplexing
  • OFDMA Orthogonal Frequency Division Multiple Access
  • Interference suppression is performed on a data stream carried in the received data carrying area, and the system includes: a first device configured to: according to claim 12 or 13 or 14 In the same manner as the system, the channel coefficient estimation value of each pilot subcarrier position corresponding to the data stream and the interference noise covariance matrix of each data subcarrier position are calculated; the second device is configured to: a weighted average of the channel coefficient estimates of the pilot subcarrier positions corresponding to the data stream, and a channel coefficient estimation value of the data subcarrier position, and a third device configured to : for each data subcarrier corresponding to the data stream, according to the received signal on the data subcarrier, and the channel system of the data subcarrier position And estimate interference noise covariance matrix, the calculated data signal on the data subcarrier estimated.
  • the system further includes: a fourth device, configured to: divide the interference suppression region into f channel estimation units, each channel estimation unit is a time domain two-dimensional resource block and includes at least one pilot subcarrier and one data Subcarrier, f is a positive integer; the second device is set to each data subcarrier corresponding to the data stream according to the following calculation formula Wave, the weighted average of the channel coefficient estimation values of the respective pilot subcarrier positions corresponding to the data stream is used as the channel coefficient estimation value of the data subcarrier position:
  • a set of indices of pilot subcarriers included in the first channel estimation unit 1, ⁇ , /, / is the number of pilot subcarriers corresponding to the data stream; is the data in the interference suppression region Channel coefficient estimates for the i-th pilot subcarrier position corresponding to the stream;
  • O kl is calculated, giving the first / channel estimation unit of each pilot subcarrier ⁇ ⁇ () right ⁇
  • ⁇ ′′ 1 , 0 ⁇ ⁇ 1 ,
  • indicates the number of pilot subcarriers included, and is at weight
  • the above-mentioned method and system for suppressing broadband co-channel interference are based on relatively accurate interference noise characteristics, which can improve the performance of interference suppression and the accuracy of data detection.
  • FIG. 1 is a schematic diagram of a neighboring multi-cell in the prior art
  • FIG. 2 is a flowchart of a method for estimating and suppressing interference of wideband co-channel interference according to an embodiment of the present invention
  • FIG. 3 to FIG. A schematic diagram of three ways of dividing, in which a bold coil represents a pilot subcarrier, and a thin coil represents a data subcarrier, and FIG. 6 to FIG. 9 is the same
  • FIG. 6 to FIG. 7 are schematic diagrams of two ways of dividing the interference suppression area pattern 2
  • FIG. 9 are schematic diagrams of two ways of dividing the interference suppression area pattern three; It is a schematic diagram of a method of dividing the interference suppression area pattern four, in which the thick coil represents the pilot subcarrier corresponding to the data stream 1, the dotted coil represents the pilot subcarrier corresponding to the data stream 2, and the thin coil represents the data. Subcarriers, which will be described later in Fig. 11; Fig. 11 is a diagram showing a manner of dividing the interference suppression region pattern five.
  • the estimation and suppression method for wideband co-channel interference in this embodiment is applied to an OFDM or OFDMA system.
  • the sender of the text can be a control device such as a station or a relay station, or a terminal device such as a mobile phone, a notebook computer, or a handheld computer.
  • the receiving end is configured to: receive the data signal of the transmitting end, and the receiving end may be a terminal device such as a mobile phone, a notebook computer, and a handheld computer, or may be a base station, and a control device such as a relay station.
  • the receiving end divides the received data bearer area into one or more interference suppression areas, and each interference suppression area is a time-frequency two-dimensional resource block in a frame or a field structure, that is, each interference suppression area includes multiple times in time.
  • a continuous OFDM/OFDMA symbol comprising a plurality of consecutive subcarriers in the frequency domain.
  • the receiving data bearer area may include a time-frequency two-dimensional resource block, and may also include a plurality of separate time-frequency two-dimensional resource blocks.
  • each of the independent time-frequency two-dimensional resource blocks is used as an interference. Suppress area.
  • the relatively independent time-frequency two-dimensional resource blocks in the received data bearer region may be further divided into multiple interference suppression regions.
  • the interference suppression region may carry one or more data streams, and each data stream corresponds to one or more data subcarriers and pilot subcarriers, and the pilot subcarriers corresponding to different data streams are different. As shown in FIG.
  • the method includes: Step 10: Corresponding to the data stream Each pilot subcarrier is calculated according to a pilot signal sent by the transmitting end on the pilot subcarrier, a received signal on the pilot subcarrier, and a channel coefficient estimated value of the pilot subcarrier position, and the pilot is calculated.
  • Step 20 For each data subcarrier corresponding to the data stream, the weighted average of the calculated interference noise covariance matrix of each pilot subcarrier position is used as the interference noise association of the data subcarrier position.
  • Step 30 Calculate, according to the received signal on the data subcarrier, the channel coefficient estimation value of the data subcarrier position, and the interference noise covariance matrix, for each data subcarrier corresponding to the data stream. A data signal estimate on the data subcarrier is obtained. The operation of this step is a regular operation.
  • the data signal estimation on each of the data subcarriers obtained above can be sent to the demodulation decoding device to complete the detection of the data.
  • the interference noise estimation and/or interference suppression may be performed on each data stream carried by the interference suppression region by using the foregoing method, and the weights may be different.
  • the foregoing method may also be: for each interference suppression region included in the received data bearer region, only one or one carried in the interference suppression region
  • the method performs interference noise estimation and/or interference suppression on the one or more data streams in the interference suppression region, where The set value is greater than or equal to the number of receiving antennas at the receiving end.
  • the channel coefficient estimation value of the pilot subcarrier position and the channel coefficient estimation value (()) of the data subcarrier position used in the steps of the wideband co-channel interference noise estimation and interference suppression method may be as follows The method is calculated as follows: Step 1: For each pilot subcarrier corresponding to the data stream in the interference suppression region, the receiving end transmits the received signal on the pilot subcarrier and the transmitting end on the pilot subcarrier. Frequency signal Conjugating and multiplying, obtaining a channel coefficient estimation value of the pilot subcarrier position; and estimating a channel coefficient of the first pilot subcarrier PsC(i) corresponding to the data stream in the interference suppression region (5) Get:
  • the receiving signal on the first pilot subcarrier of the receiving end is a pilot signal sent by the transmitting end on the first pilot subcarrier (both ends can be agreed), indicating that the pair is conjugated;
  • the meaning of the parameters is as described above. Because the correlation of pilot signals on the same pilot subcarrier is relatively low, the interference signal from the pilot band of the adjacent cell on the pilot subcarrier can be filtered out by the above operation. More accurate channel coefficient estimation value. Further, the channel coefficient estimation value of the data subcarrier position obtained based on the weighted average of the channel coefficient estimation values of the pilot subcarrier positions is also relatively accurate.
  • Step 2 corresponding to the data stream a data subcarrier, the weighted average of the channel coefficient estimation values of the pilot subcarrier positions corresponding to the data stream is used as the channel coefficient estimation value of the data subcarrier position; the jth corresponding to the data stream in the interference suppression region Data subcarriers are recorded as DsCG),
  • k ⁇ , 2, ---, K; each data subcarrier position corresponding to the data stream in the kth channel estimation unit
  • the channel coefficient estimates are equal, which is recorded as:
  • this embodiment calculates a certain one according to formula (6).
  • the channel coefficient estimation value of the data subcarrier position is used, the channel weights of the pilot subcarrier positions in the same channel estimation unit are obtained by the same weight, and the channel coefficients of the data subcarrier positions in the same channel estimation unit are calculated.
  • the channel coefficient estimates of the obtained data subcarrier positions are the same by taking the same set of weights.
  • the above calculation based on the channel estimation unit can simplify the calculation.
  • the weighted average of step 20 may This is done based on the interference noise estimation unit.
  • the division of the channel estimation unit and the interference noise estimation unit in the same interference suppression region may be the same or different.
  • it when calculating an interference noise covariance matrix of a data subcarrier position according to formula (2), it is an interference noise association of each pilot subcarrier position in the same interference noise estimation unit.
  • the variance matrix gives the same weight.
  • the interference noise covariance matrix of each data subcarrier position corresponding to the data stream in the w interference noise estimation unit is equal, denoted as M m — D , and the receiving end calculates according to formula (8):
  • ⁇ ⁇ 1 should satisfy the condition ⁇
  • ⁇ , 1, 0 ⁇ , ⁇ 1 , where
  • the embodiment further provides a system for wideband co-channel interference noise estimation, which is used for receiving at an antenna of an orthogonal frequency division multiplexing (OFDM) or orthogonal frequency division multiple access (OFDMA) system.
  • Interference noise estimation is performed on a data stream carried in the area, where the interference suppression area is a time-frequency two-dimensional resource block in the received data bearer area
  • the system includes: a first device, configured to: correspond to the data stream
  • Each pilot subcarrier multiplies a received signal on the pilot subcarrier by a conjugate of a pilot signal transmitted by the transmitting end on the pilot subcarrier to obtain an estimated channel coefficient of the pilot subcarrier position.
  • a second device configured to: each pilot subcarrier corresponding to the data stream, according to a pilot signal sent by the transmitting end on the pilot subcarrier, a received signal on the pilot subcarrier, and a first Obtaining an interference noise covariance matrix of the pilot subcarrier position obtained by the device, and calculating a channel noise coefficient matrix of the pilot subcarrier position; and a third device, configured to: correspond to the data stream For each data subcarrier, the weighted average of the interference noise covariance matrix of each pilot subcarrier position calculated by the second device corresponding to the data stream is used as the interference noise covariance matrix of the data subcarrier position.
  • the system may further include a fourth device, the fourth device configured to: divide the interference suppression region into interference noise estimation units, each interference noise estimation unit is a time domain two-dimensional resource block and includes at least a pilot subcarrier and a data subcarrier are positive integers; correspondingly, the third device performs interference noise of each pilot subcarrier position corresponding to the data stream for each data subcarrier corresponding to the data stream
  • the weighted average of the covariance matrix is used as the interference noise covariance matrix of the data subcarrier position, and the calculation formula used is the equation (8) above.
  • the fourth device configured to: divide the interference suppression region into interference noise estimation units, each interference noise estimation unit is a time domain two-dimensional resource block and includes at least a pilot subcarrier and a data subcarrier are positive integers; correspondingly, the third device performs interference noise of each pilot subcarrier position corresponding to the data stream for each data subcarrier corresponding to the data stream
  • the weighted average of the covariance matrix is used as the interference noise
  • the second device corresponds to each pilot subcarrier of the data stream, according to the transmitting end of the pilot
  • the pilot signal transmitted on the subcarrier, the received signal on the pilot subcarrier, and the channel coefficient estimation value of the pilot subcarrier position, and the interference noise covariance matrix of the pilot subcarrier position is calculated, and the calculation is used.
  • the formula is the formula (1) above.
  • the embodiment further provides a system for wideband co-channel interference suppression, which is applied to a receiving end of an Orthogonal Frequency Division Multiplexing (OFDM) or Orthogonal Frequency Division Multiple Access (OFDMA) system, in an interference suppression region.
  • OFDM Orthogonal Frequency Division Multiplexing
  • OFDMA Orthogonal Frequency Division Multiple Access
  • Interference suppression is performed on a data stream carried in the data transmission area, and the interference suppression area is a time-frequency two-dimensional resource block in the received data bearer area
  • the system includes: a first device, configured to: according to the broadband same-frequency interference noise In the same manner as the estimated system, the channel coefficient estimation value of each pilot subcarrier position corresponding to the data stream and the interference noise covariance matrix of each data subcarrier position are calculated; the second device is configured to: the data stream Corresponding each of the data subcarriers, the weighted average of the channel coefficient estimation values of the pilot subcarrier positions calculated by the first device corresponding to the data stream is used as the channel coefficient estimation value of the data subcarrier position; and the third device And setting it to: each data subcarrier corresponding to the data stream, according to the received signal on the data subcarrier And interference channel coefficient estimation value calculating means and the first data subcarrier position of the second calculated means to obtain sub-carrier positions of the data noise covariance matrix, calculated to obtain data on the signal estimate data
  • each channel estimation unit is a time domain two-dimensional resource block and includes at least one pilot subcarrier and one data subcarrier, and f is a positive integer; correspondingly, the second device is the data stream Corresponding each data subcarrier, the weighted average of the channel coefficient estimation values of the respective pilot subcarrier positions corresponding to the data stream is used as the channel coefficient estimation value of the data subcarrier position, and the calculation formula used is the above formula (7).
  • each parameter The meaning is the same as that of the foregoing embodiment, and it is assumed that the receiving end has obtained the channel coefficient estimation value on each pilot subcarrier, and calculates the interference noise covariance matrix on each pilot subcarrier according to formula (1).
  • the example mainly explains how to further calculate the interference noise covariance matrix of the data subcarrier position in the case of different interference suppression region patterns and interference noise estimation unit partitioning. For the data signal estimation, see above, it will not be repeated.
  • the interference suppression region is equally divided into five interference noise estimation units, and the indexes of the 20 pilot subcarriers included in the interference suppression region belong to five pilot index sets, that is, 1 to 4 belong to 5-8 belongs to 9 ⁇ 12 belongs to ⁇ 3 ⁇ 4, 13 ⁇ 16 belongs to ⁇ 4 , and 17 ⁇ 20 belongs to ⁇ 3 ⁇ 4.
  • the interference noise covariance matrix of each data subcarrier position in the first interference noise estimation unit is ⁇ , with:
  • the interference noise covariance matrix of each data subcarrier position in the second interference noise estimation unit is: - ⁇ (0
  • the interference noise covariance matrix of each data subcarrier position in the third interference noise estimation unit is:
  • the interference noise covariance matrix of each data subcarrier position in the fifth interference noise estimation unit is:
  • the suppression region is divided into three interference noise estimation units, and the indexes of the 20 pilot subcarriers included in the interference suppression region belong to three pilot index sets, wherein: 1 ⁇ 4 belong to 5 ⁇ 12 belong to and 13 ⁇ 20 belong to 33 ⁇ 4.
  • the interference noise covariance matrix of each data subcarrier position in the first interference noise estimation unit is ⁇ , with:
  • the interference noise covariance matrices of the respective data subcarrier positions in the second interference noise estimation unit are both:
  • K- D ⁇ - ⁇ (' ⁇ ) + ⁇ 2 ⁇ - ⁇ (' ⁇ ) + ⁇ 3 ⁇ - ⁇ (' ⁇ )
  • the interference noise covariance matrix of each data subcarrier position in the third interference noise estimation unit is , with:
  • the number of pilot subcarriers included in ⁇ is the number of pilot subcarriers included in ⁇ .
  • the suppression region is divided into one interference noise estimation unit, and the index of the 20 pilot subcarriers included in the interference suppression region belongs to one pilot index set, and 1 to 20 belong to each other.
  • the interference noise covariance matrix of each data subcarrier position in the interference noise estimation unit is ⁇ , having:
  • the interference suppression area in this example is the interference suppression area pattern 2. It contains 12 consecutive OFDM/OFDMA symbols in the time domain and 4 consecutive subcarriers in the frequency domain, which carries one data stream.
  • the interference suppression region is equally divided into four interference noise estimation units, and the indexes of the 16 pilot subcarriers included in the interference suppression region belong to the four pilot index sets, that is, 1 to 4 belong to 5 8 ⁇ 9 ⁇ 12 belonging belongs ⁇ 3 ⁇ 4, and 13 to 16 belong to ⁇ 4.
  • the interference noise covariance matrix of each data subcarrier position in the first interference noise estimation unit is:
  • the interference noise covariance matrix of each data subcarrier position in the third interference noise estimation unit is:
  • the interference noise covariance matrices of the respective data subcarrier positions in the fourth interference noise estimation unit are both:
  • the number of pilot subcarriers included in the set is the number of pilot subcarriers included in the set.
  • the suppression region is divided into two interference noise estimation units, and the 16 pilot subcarriers included in the interference suppression region belong to two pilot index sets, wherein 1 to 8 belong to ⁇ , and 9 to 16 belong to ⁇ 2 .
  • the interference noise covariance matrix of each data subcarrier position in the first interference noise estimation unit is:
  • the interference noise covariance matrix for each data subcarrier position in the second interference noise estimation unit is: Wherein, the condition
  • represents the pilot index set
  • the number of pilot subcarriers included in the packet is the number of pilot subcarriers included in the packet.
  • the interference suppression area in this example is the interference suppression area pattern 3. It contains 9 consecutive OFDM/OFDMA symbols in the time domain and 4 consecutive subcarriers in the frequency domain, which carries one data stream.
  • the interference suppression region is equally divided into three interference noise estimation units, and the 12 pilot subcarrier indices included in the interference suppression region belong to three pilot index sets, that is, 1 ⁇ 4 belong to 5 ⁇ 8 belongs to and 9 ⁇ 12 belongs to ⁇ 3 ⁇ 4.
  • the interference noise covariance matrix of each data subcarrier position in the third interference noise estimation unit is:
  • the suppression region is divided into two interference noise estimation units, and the 12 pilot subcarriers included in the interference suppression region belong to two pilot index sets, wherein 1 ⁇ 4 belong to ⁇ , and 5 ⁇ 12 belong to ⁇ 3 ⁇ 4.
  • the interference noise covariance matrix of each data subcarrier position in the first interference noise estimation unit is ⁇ , with:
  • the interference noise covariance matrix of each data subcarrier position in the second interference noise estimation unit is: Where the condition lQ
  • represents the pilot set l ⁇
  • the number of pilot subcarriers included is the number of pilot subcarriers included.
  • the channel coefficient estimate on the first pilot subcarrier corresponding to the first data stream is (); the channel coefficient estimate on the first pilot subcarrier corresponding to the second data stream is fi p2 ();
  • the pilot signal sent on the first pilot subcarrier corresponding to the first data stream is the pilot signal sent by the transmitting end on the first pilot subcarrier corresponding to the second data stream, and the receiving end is at the receiving end.
  • the received signal received on the first pilot subcarrier corresponding to the first data stream is ⁇ and the received signal received by the receiving end on the first pilot subcarrier corresponding to the second data stream is 2 ( ⁇ ).
  • the interference suppression region in this application example is an interference suppression region pattern 4, which includes 15 consecutive OFDM/OFDMA symbols in the time domain, and 4 consecutive subcarriers in the frequency domain, where two carriers are carried. data flow.
  • the interference suppression region is divided into two interference noise estimation units, and the indexes of the 10 pilot subcarriers corresponding to each data stream included in the interference suppression region belong to two pilot index sets, where: 1 ⁇ 6 belongs to ⁇ , and 7 ⁇ 10 belong to i3 ⁇ 4.
  • the interference noise covariance matrix of each data subcarrier position in the first interference noise estimation unit is ⁇ 11 , with:
  • the interference noise covariance matrix of each data subcarrier position in the second interference noise estimation unit is R 21 , and has:
  • the interference noise covariance matrix of each data subcarrier position in the first interference noise estimation unit is ⁇ 12 , having:
  • the interference noise covariance matrix of each data subcarrier position in the second interference noise estimation unit is R 22 , and has: Where 2 () 3 ⁇ 4( ))( 2 ( )- 2 ( )p 2 ( )f ; ⁇ satisfies the condition ⁇
  • indicates the number of pilot subcarriers included in the pilot index set.
  • the above method of performing interference noise estimation for each data stream is basically the same, except that the weights can be different. Of course, in another embodiment, the division of the interference noise estimation units of different data streams may also be different.
  • the interference suppression region in this application example is an interference suppression region pattern five, which includes 6 consecutive OFDM/OFDMA symbols in the time domain and 6 consecutive subcarriers in the frequency domain, where Carry two data streams.
  • the interference suppression region is divided into one interference noise estimation unit, and the four pilot subcarrier indexes corresponding to each data stream included in the interference suppression region belong to one pilot index set, that is, 1 to 4 belong.
  • the interference noise covariance matrix of each data subcarrier position in the interference noise estimation unit is ⁇ 11 , with:
  • io ⁇ 1 ⁇ i,
  • represents the number of pilot subcarriers included in the pilot index set.
  • the following application examples mainly illustrate the reception of interference suppression signals using the interference noise estimation covariance matrix estimation method of the present invention. It should be noted that the following describes the case where only one data stream is carried in one interference suppression area. For the case of carrying multiple data streams simultaneously, for each data stream, interference is performed by the same method as the following application example. Suppress the reception of the signal.
  • Application Example 10 the interference suppression region pattern 1 is taken as an example.
  • the channel estimation unit division method and the interference noise estimation unit are divided in the same manner, that is, the sub-inclusion included in each channel estimation unit.
  • the carrier is the same as the subcarrier included in each interference noise estimation unit.
  • the channel coefficient estimates for all data subcarrier positions in the first channel estimation unit are:
  • the estimated channel coefficient values for all data subcarrier locations within the third channel estimation unit are: 4 ⁇ 8 ⁇ 12 ⁇ 16 ⁇ 20 ⁇
  • the channel coefficient estimates for all data subcarrier locations within the fourth channel estimation unit are:
  • the channel coefficient estimates for all data subcarrier locations within the fifth channel estimation unit are: Wherein, the condition is satisfied; t
  • represents the number of pilot subcarriers included in the pilot index set.
  • the interference noise covariance matrix on all data subcarriers in the first interference noise estimation unit is:
  • the interference noise covariance matrix on all data subcarriers in the second interference noise estimation unit is R 2 , with:
  • the interference noise covariance matrix on all data subcarriers in the fourth interference noise estimation unit is:
  • the interference noise covariance matrix on all data subcarriers in the fifth interference noise estimation unit is:
  • the interference suppression region pattern 1 is taken as an example.
  • the channel estimation unit division method and the interference noise estimation unit are different, that is, at least one channel estimation unit
  • the subcarriers included in the subcarriers are different from the subcarriers included in the interference noise estimation unit.
  • the 20 pilot subcarriers belong to the 5 pilot index sets, namely: 1 ⁇ 4 belongs to 5-8 belongs to 9 ⁇ 12 belongs to ⁇ 3 ⁇ 4, 13 ⁇ 16 belongs to ⁇ 4 , 17 ⁇ 20 belongs to channel estimation:
  • the estimated channel coefficient values for all data subcarrier locations within the first channel estimation unit are:
  • the channel coefficient estimates for all data subcarrier locations within the second channel estimation unit are h] , with:
  • the channel coefficient estimates for all data subcarrier positions in the third channel estimation unit are , ,
  • the channel coefficient estimates for all data subcarrier positions in the fourth channel estimation unit are:
  • the channel coefficient estimates for all data subcarrier locations within the fifth channel estimation unit are, with:
  • the interference suppression region of the foregoing pattern 1 is divided into three interference noise estimation units, and the 20 pilot subcarriers included in the interference suppression region belong to three pilot index sets, namely: 1 ⁇ 4 belongs to ⁇ , 5 ⁇ 12 belongs to ⁇ 2 , and 13 ⁇ 20 belongs to ⁇ 3 .
  • the interference noise covariance matrices of all data subcarrier positions in the second interference noise estimation unit are:
  • K- D ⁇ - ⁇ (' ⁇ ) + ⁇ 2 ⁇ - ⁇ (' ⁇ ) + ⁇ 3 ⁇ - ⁇ (' ⁇ )
  • the interference noise covariance matrix of all data subcarrier positions in the third interfering noise estimation unit is , with:
  • ⁇ . ⁇ ⁇ + ⁇ 2 ⁇ - ⁇ ⁇ + ⁇ - ⁇ (' ⁇ )
  • the method and system for estimating the wideband co-channel interference of the present invention can obtain more accurate interference noise characteristics, which is advantageous for improving the performance of interference suppression and the accuracy of data detection.
  • the wideband co-channel interference suppression method and system of the present invention is based on relatively accurate interference noise characteristics, and can improve the performance of interference suppression and the accuracy of data detection.

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Abstract

L'invention concerne un procédé d'estimation du bruit de brouillage dans la même voie à large bande et d'élimination du brouillage, ainsi qu'un système correspondant. Le procédé précité comprend: pour chaque sous-porteuse correspondant à un flux de données, une matrice de covariance du bruit de brouillage de la sous-porteuse pilote est calculée et obtenue sur la base d'un signal pilote sur la sous-porteuse pilote transmis par un terminal émetteur, d'un signal de réception sur la sous-porteuse pilote et d'une valeur d'estimation du coefficient de voie de la sous-porteuse pilote; et pour chaque sous-porteuse de données correspondant au flux de données, les matrices de covariance du bruit de brouillage de chaque sous-porteuse pilote correspondant au flux de données sont pondérées et moyennées pour obtenir une matrice de covariance du bruit de brouillage de la sous-porteuse de données; une zone d'élimination du brouillage représentant un bloc de ressources bidimensionnel temps-fréquence dans la zone porteuse de données relative aux données réceptrices. La présente invention permet d'obtenir une fonctionnalité de bruit de brouillage plus précise et favorise l'amélioration des performances d'élimination du brouillage ainsi que la précision de la détection de données.
PCT/CN2011/075221 2010-11-23 2011-06-02 Procédé et système correspondant pour l'estimation du bruit de brouillage dans la même voie à large bande et l'élimination du brouillage WO2012068858A1 (fr)

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CN102932290B (zh) * 2012-10-22 2016-08-10 合肥东芯通信股份有限公司 Lte系统干扰抑制接收方法及装置
CN104052706A (zh) * 2013-03-15 2014-09-17 富士通株式会社 噪声加干扰空间协方差矩阵确定装置、干扰抑制合并装置
CN103778102A (zh) * 2014-01-15 2014-05-07 河南科技大学 基于干扰噪声矩阵重构的自适应波束形成方法
CN104852748A (zh) * 2014-02-14 2015-08-19 富士通株式会社 干扰抑制装置、方法以及接收机
CN108881073B (zh) * 2018-04-23 2020-07-03 中国科学院自动化研究所 一种基于5g通信网络的噪声方差估计方法及系统
CN113037658B (zh) * 2019-12-09 2024-04-30 中兴通讯股份有限公司 信号检测方法、装置、通信设备及计算机存储介质
CN115865109B (zh) * 2022-11-11 2024-05-14 北京智芯微电子科技有限公司 多接收天线的干扰抑制合并方法、装置及介质、接收终端

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