WO2012068858A1

WO2012068858A1 - Method and corresponding system for broadband co-channel interference noise estimation and interference suppression

Info

Publication number: WO2012068858A1
Application number: PCT/CN2011/075221
Authority: WO
Inventors: 朱登魁; 宁迪浩; 肖华华; 鲁照华
Original assignee: 中兴通讯股份有限公司
Priority date: 2010-11-23
Filing date: 2011-06-02
Publication date: 2012-05-31
Also published as: CN102480444A; CN102480444B

Abstract

A method for broadband co-channel interference noise estimation and interference suppression and corresponding system are disclosed in the present invention, wherein, the method for broadband co-channel interference noise estimation comprises that: for each pilot sub carrier corresponding to a data stream, an interference noise covariance matrix of the pilot subcarrier is calculated and obtained according to a pilot signal on the pilot subcarrier sent by a transmitting terminal, a receiving signal on the pilot subcarrier and a channel coefficient estimation value of the pilot subcarrier; for each data subcarrier corresponding to the data stream, interference noise covariance matrices of every pilot subcarrier corresponding to the data stream are weighted and averaged for obtaining an interference noise covariance matrix of the data subcarrier; wherein, an interference suppression area is a time-frequency two-dimensional resource block in the data bearer area of receiving data. A more accurate interference noise feature is obtained with the present invention, and the present invention is propitious to improve performance of interference suppression and accuracy of data detection.

Description

TECHNICAL FIELD The present invention relates to Orthogonal Frequency Division Multiplexing (OFDM) or 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.

Background technique

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).

For a wireless communication system in which a network is arranged in a cellular structure, co-channel interference between adjacent cells is one of the most important factors leading to a decline in communication quality, as shown in FIG. Because 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. In this case, the performance of common interference suppression receiving algorithms, such as Minimum Mean Square Error (MMSE) or Interference Rejection Combination (IRC), will be greatly reduced. SUMMARY OF THE INVENTION 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. In order to solve the above technical problem, 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. In the suppression region, 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. In the method of the present invention, 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. In the step of the matrix, the interference noise covariance matrix of the data subcarrier position is calculated by using equation (a):

Wherein, the interference noise covariance matrix of the jth data subcarrier position corresponding to the data stream in the interference suppression region, ' = 1, ..., J, J is the data corresponding to the data stream in the interference suppression region The number of subcarriers; for the calculation of the interference noise covariance matrix of the _; data subcarrier positions, the weight of _P (o ^{= 1} ; _p (0 is the corresponding data stream in the interference suppression region i = i = \

The interference noise covariance matrix of the second pilot subcarrier position, = ι,···, /, 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,

O The interference noise covariance matrix of each data subcarrier position corresponding to the data stream in the mth interference noise estimation unit, m = \, 2, ~, M

/ is a loop variable, / = 1, 2, · · ·, Μ ; is the set of index I of the pilot subcarriers included in the first interfering noise estimation unit, = 1, · · · , / , / is the The number of pilot subcarriers corresponding to the data stream;

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;

, for calculating ^ _ _D , assigning to each pilot subcarrier in the first/interference noise estimation unit The weight of )^|^=1,0<^<1, || is the number of pilot subcarriers included.

1=1

In the method of the present invention, the weights used for the calculation are calculated according to the formula (b), where / = 1, 2, ···, Μ, β is greater than or equal to other weights. In the method of the present invention, 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. The channel coefficient estimation value of the location, in the step of calculating the interference noise covariance matrix of the pilot subcarrier position, the equation (c) is used to calculate the interference noise covariance matrix of the pilot subcarrier position: ip( = (y _P {i)p{i))(y _P (Ή {ήρ{ή) (c) where _P (0 is the interference noise covariance of the first pilot subcarrier position corresponding to the data stream in the interference suppression region The matrix, = ι,···, /, / is the number of pilot subcarriers corresponding to the data stream in the interference suppression region, /) is the pilot signal transmitted by the transmitting end on the first pilot subcarrier , W is the received signal on the first pilot subcarrier, is the channel coefficient estimation value of the first pilot subcarrier position, and (() »()^ represents the matrix (the conjugate transposition. The present invention In the method, 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. In the method of the present invention, the method is used in an interference suppression region. When performing interference noise estimation on one data stream carried in the channel, 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. Accordingly, 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 According to a time-frequency two-dimensional resource block in the bearer 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; and a third device, 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,

/ is a loop variable, / = 1, 2, · · · , Μ ;

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

M

The weight of 导^|^ = 1,0 < ^ < 1 , | | is the number of pilot subcarriers included,

1=1

And in the weight, / = 1, 2, is greater than or equal to other weights. In the system of the present invention, 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:

Where _P (0 is the interference noise covariance matrix of the first pilot subcarrier position corresponding to the data stream in the interference suppression region, = 1,····, /, / is the data flow in the interference suppression region The number of corresponding pilot subcarriers, /) is the pilot signal transmitted by the transmitting end on the first pilot subcarrier, and 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. In order to solve the above technical problem, 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. In the area, when the method performs interference suppression on a data stream carried by the method, the method includes: obtaining, according to the foregoing interference noise estimation method, location of each pilot subcarrier corresponding to the data stream. 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,

The channel coefficient estimate for each data subcarrier position corresponding to the data stream in the first channel estimation unit, k = \, 2, - - - , K / is a loop variable, 1 = \, 1, · · , Κ

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 ίι Ρ ₍₎ right κ

Value, ∑| ^Ω ′′ ^{= 1} , ^{0 ≤ ≤1} , | | indicates the number of pilot subcarriers included, and is at weight

1=1

In 03⁄4, 1 = \, 2, · · · , Κ , greater than or equal to other weights. In the method of the present invention, 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. When the number of pilot subcarriers corresponding to one or more data streams is greater than or equal to a set value, 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. Correspondingly, 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. 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:

/=1 ieQf where,

The channel coefficient estimate for each data subcarrier location corresponding to the data stream in the first channel estimation unit, k = \, 2, ---, K

/ is a loop variable, ! = 1,2,···, K

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 ίι Ρ ₍₎ right κ

Value, ∑| ^Ω ′′ ^{= 1} , ^{0 ≤ ≤ 1} , | | indicates the number of pilot subcarriers included, and is at weight

1=1

03⁄4, ! = 1,2, --·,Κ , greater than or equal to other weights

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.

BRIEF DESCRIPTION OF THE DRAWINGS 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. 8 to 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 embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that, in the case of no conflict, the features in the embodiments and the embodiments in the present application may be arbitrarily combined with each other. 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. Similarly, 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. In this embodiment, each of the independent time-frequency two-dimensional resource blocks is used as an interference. Suppress area. Of course, in other embodiments, the relatively independent time-frequency two-dimensional resource blocks in the received data bearer region may be further divided into multiple interference suppression regions. In an OFDM or OFDMA system, 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. 2, in an interference suppression area, when performing broadband wide-band interference noise estimation and interference suppression on a data stream carried by the method in this embodiment, 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. Interference noise covariance matrix of subcarrier position; if PsC(z) is used to indicate the first pilot subcarrier corresponding to the data stream in the interference suppression region, = ν··, /, then the interference of PsC(i) position The noise covariance matrix ^ _Ρ (0 can be obtained by equation (1): i- _P ( = (y _P {i)-h _p {i)p{i))(y _P {i)-h _p {i) p{i)) ^H ( 1 ) where / ) is the pilot signal transmitted by the transmitting end on PsC(z), (as ^PsC (received signal on 0, estimated channel coefficient of PsC(i) position, / is the number of pilot subcarriers corresponding to the data stream in the interference suppression region, ( () - ^ (representing the conjugate transpose of the matrix. Interference noise covariance moment in the text The array is an estimated value. 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. Variance matrix; if DsC() is used to represent the first data subcarrier corresponding to the data stream in the interference suppression region, 7 = 1, ···, J , then the interference noise covariance matrix of the position of DsCG) is expressed by equation (2) get:

Wherein, to calculate DSCG) position ^ -), the assigned _weights, Σβ ϋ = 1, part of the weight value may be 0; J number of interference suppression for data subcarriers in the region. Through the above steps 10 and 20, the receiving end has completed the wideband co-channel interference noise estimation for the interference suppression region. After the interference suppression regions in the data bearer region are calculated according to the above method, the broadband co-channel interference noise estimation for the data bearer region is completed. 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. For example, the data signal estimate of the position of the data subcarrier DsCG in the interference suppression region can be calculated as follows: When ^(represented as a column vector, s(j) = h/(j)R _N -)_ _D (j)y _d (j) (3 ) When 4 ( · ) is expressed as a row vector,

= conj(h _d (j))^j_ _D (j)y _d (j) ( 4 ) where 4( ·) is the channel coefficient estimate of the position of the data subcarrier DsCG), which is a conjugate of 4 ( ·) Transpose, _C ^ ( 》 indicates that the element of 4 ( ) is conjugated, ^ _D ij) is ^ _{Ν 1} -. The inverse matrix of ϋ, (j) is the received signal on DsC(/). In this embodiment, {]) is expressed as a column vector, such as {]), which is represented as a row vector. The above formula needs to be adaptively changed, and will not be described again. 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. For each interference suppression region included in the received data bearer region, 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. Since the foregoing method has better performance when the number of pilot subcarriers corresponding to the data stream is larger, it 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 When the number of pilot subcarriers corresponding to the plurality of data streams is greater than or equal to a set value, 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.

In this embodiment, 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:

^W=^W W =u (5)

Wherein, (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),

The channel coefficient estimate (·) of the position of DsCG) is obtained by equation (6):

Wherein, in order to calculate the position of DsCG), the weight of ^ () is given, = , part ^ (the weight of 0 can be 0, the meaning of other parameters is as described above. The receiving end can suppress the interference suppression area Further divided into f time-frequency two-dimensional resource blocks, =1, 2, ...; each time-frequency two-dimensional resource block as a channel estimation unit, each channel estimation unit includes at least one pilot sub-carrier and one data In an embodiment in which channel estimation unit division is performed, when channel coefficient estimation values of a certain data subcarrier position are calculated according to formula (6), channel coefficients of respective pilot subcarrier positions in the same channel estimation unit are used. The estimates are given the same weight. In another embodiment in which channel estimation unit partitioning is performed, when calculating channel coefficient estimates for respective data subcarrier positions in the same channel estimation unit according to equation (6), a set of identical weights " _y ., = 1" is taken. , -, /, 7 = 1, ···, J, The estimated channel coefficient estimates for each data subcarrier position are the same. In still another embodiment of performing channel estimation unit division, the manner of the above two embodiments may be combined. as follows:

Defining a set of indices of pilot subcarriers included in the kth channel estimation unit is 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: The receiver calculates this according to equation (7): 3⁄4=∑∑3⁄4 ((7) where / is a loop variable, 1 = \, 2, ···, , 03⁄4 is In the calculation, the weight of the channel coefficient estimate of each pilot subcarrier position in the channel estimation unit is given, because it is a weighted average,

K

To satisfy the condition ∑| , | = 1,0 ≤ ≤ 1, where |q| represents the pilot index set. The included pilot

1=1

The number of subcarriers. At the time-frequency, the closer the pilot subcarriers are to a certain data subcarrier, the stronger the channel correlation. Therefore, in the calculation of the weights used, 3⁄4 is greater than or equal to the other weights, ί = 1, 2, "', Κ. It can be seen that this embodiment calculates a certain one according to formula (6). When 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. When estimating the value, 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.

In the above broadband co-channel interference noise estimation and interference suppression method, the weighted average of step 20 may This is done based on the interference noise estimation unit. The receiving end subdivides the interference suppression area into time-frequency two-dimensional resource blocks, Λ/=1, 2,...; each time-frequency two-dimensional resource block is used as an interference noise estimation unit, and each interference noise estimation unit At least one pilot subcarrier is included. 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. In an embodiment of performing interference noise estimation unit partitioning, 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. In another embodiment in which the interference noise estimation unit partitioning is performed, when the interference noise covariance matrix of each data subcarrier position in the same interference noise estimation unit is calculated according to formula (2), the same set of weights = 1, -, / , 7 = 1,···, J , get the same interference noise covariance matrix. In still another embodiment of performing interference noise estimation unit division, the manner of the above two embodiments may be combined. ^下: Define the set of indices of the pilot subcarriers contained in the first interference noise estimation unit as m = \, 2, M. 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):

Where / is a loop variable, / = 1,2,···,Μ; for calculating ^ _-D , the weight of _N1 _ _P ( ) corresponding to each pilot subcarrier in the first/interference noise estimation unit is assigned Value, because it is a weighted average,

M

β _η1 should satisfy the condition ∑|4|凡, = 1, 0≤ , ≤ 1 , where | | indicates that the pilot index set contains

1=1

The number of pilot subcarriers. It can be seen that, when calculating the interference noise covariance matrix of a certain data subcarrier position according to formula (2), the interference noise covariance matrix of each pilot subcarrier position in the same interference noise estimation unit is the same. And when calculating the interference noise covariance matrix of each data subcarrier position in the same interference noise estimation unit, by taking the same set of weights, the interference noise covariance matrix of each data subcarrier position is the same. In the time-frequency region, the closer the pilot subcarriers are to a certain data subcarrier, the more the channel correlation is. Strong. Therefore, preferably, in calculating the weight of ^ _ _D釆, / = 1, 2,····, Μ, Α ^ is greater than or equal to other weights. The above calculation based on the interference noise estimation unit can simplify the calculation.

Correspondingly, 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. And 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. Preferably, 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. Preferably,

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.

Correspondingly, 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. 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 subcarrier. Preferably, the system further includes a fourth device, the fourth device configured to: divide the interference suppression region into

K 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, 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).

The present invention will be further described below with some application examples. In the following examples, 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. Application example one

It contains 15 consecutive OFDM/OFDMA symbols, and contains 4 consecutive subcarriers in the frequency domain, which carries one data stream. In this example, 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 ί3⁄4, 13~16 belongs to Ω ₄ , and 17~20 belongs to ί3⁄4. When performing interference noise estimation: The interference noise covariance matrix of each data subcarrier position in the first interference noise estimation unit is ^, with:

«L « - ('·)

The interference noise covariance matrix of each data subcarrier position in the second interference noise estimation unit is: -η (0

The interference noise covariance matrix of each data subcarrier position in the third interference noise estimation unit is:

4 8 12 16 20 i=\ i=5 i=9 i=13 ι=\Ί The interference noise covariance matrix of each data subcarrier position in the fourth interference noise estimation unit is: i=\ i=5 i=9 i=13 ι=\Ί The interference noise covariance matrix of each data subcarrier position in the fifth interference noise estimation unit is:

= - _Ρ ('·)

Wherein, the condition ∑ l = i, o ≤ ≤ i, k = i, ..., 5 , | | represents the pilot index l=\

: The number of pilot subcarriers included in the combination.

Application example two

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. When performing interference noise estimation: the interference noise covariance matrix of each data subcarrier position in the first interference noise estimation unit is ^, with:

«L = — _Ρ ('·)

The interference noise covariance matrices of the respective data subcarrier positions in the second interference noise estimation unit are both:

4 12 20

K- _D = ∑ -Ρ ('·) + Α ₂ ∑ -Ρ ('·) + Α ₃ ∑ -Ρ ('·)

i=\ i=5 i=13 The interference noise covariance matrix of each data subcarrier position in the third interference noise estimation unit is , with:

4 12 20

Ai∑ ^R -P ( ⁷ ') ⁺ ^32∑ ^R -P ( ⁷ ') ⁺ As∑ ^R -P

i=\ i=5 i=13 Where 1,2,3, | | represents the pilot index set

The number of pilot subcarriers included in μ.

Application example three

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. When performing interference noise estimation, the interference noise covariance matrix of each data subcarrier position in the interference noise estimation unit is ^, having:

Where A satisfies the condition | =1 , ο ≤ β _η ≤ \ , | | represents the number of pilot subcarriers included in the pilot index set.

Application Example 4 As shown in FIG. 6, 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. In this example, 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 ί¾, and 13 to 16 belong to Ω _4. When performing interference noise estimation: The interference noise covariance matrix of each data subcarrier position in the first interference noise estimation unit is:

«L « - ('·)

The interference noise covariance matrix of each data subcarrier position of the second interference noise estimation unit is: -η = ΐ-Ρ (

The interference noise covariance matrices of the respective data subcarrier positions in the fourth interference noise estimation unit are both:

= - _Ρ ('·)

Wherein, the condition ∑ | =i, ο≤β _α ≤ι, k = \,...,4, | | indicates the pilot index l=\

The number of pilot subcarriers included in the set.

Application example five

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 Ω, and 9 to 16 belong to Ω ₂ . When performing interference noise estimation: The interference noise covariance matrix of each data subcarrier position in the first interference noise estimation unit is:

16

= Α,ΣΚ - ('·) + A ₂ ∑RM— P (i) The interference noise covariance matrix for each data subcarrier position in the second interference noise estimation unit is:

Wherein, the condition | | = i, o ≤ ≤ i, k = \, 2 , | | represents the pilot index set

l=\

The number of pilot subcarriers included in the packet.

Application Example 6 As shown in FIG. 8, 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. In this example, 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 ί3⁄4. When performing interference noise estimation: The interference noise covariance matrix of each data subcarrier position in the first interference noise estimation unit is: - _D = βη∑ - _Ρ {ή + βη∑ ι- _Ρ ( + Α ₃ ∑« - ('·)

i=\ i=5 i=9 The interference noise covariance matrix of each data subcarrier position in the second interference noise estimation unit is: -n = Σ lP + Α ₂ Σ lP + Α ₃ Σ ΐ- Ρ (

i=\ i=5 ι=9

Where 1,2,3, | | represents the pilot index set

The number of pilot subcarriers included in the combination. Application example seven

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 Ω, and 5~12 belong to ί3⁄4. When performing interference noise estimation: 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| = i, ο ≤ _{β α} ≤ ι , k = i, 2, | | represents the pilot set l=\

The number of pilot subcarriers included.

The following describes an interference noise estimation method for carrying two data streams in an interference suppression area using Application Examples 8 and 9. Assumption:

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 (·).

Application example eight As shown in FIG. 10, 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. In this example, 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 Ω, and 7~10 belong to i3⁄4. When performing interference noise estimation: For the first data stream, the interference noise covariance matrix of each data subcarrier position in the first interference noise estimation unit is ά ¹¹ , with:

6 10

The interference noise covariance matrix of each data subcarrier position in the second interference noise estimation unit is R ²¹ , and has:

6 10

«L = β ₂₁ ∑ - _Ρ ( +β ₂ 2∑ - _Ρ ('·) , /)^;^/)- (,·) ^/))^ /)- ; β _Η meets the condition | | Pilot subcarriers included in the frequency index set

The number. For the second data stream, the interference noise covariance matrix of each data subcarrier position in the first interference noise estimation unit is ά 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 ∑| |^' _H =i, ο≤β, _Μ ≤\, k = \,2, | | 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.

Application Example 9 As shown in FIG. 11, 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. In this example, 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. When performing interference noise estimation: For the first data stream, the interference noise covariance matrix of each data subcarrier position in the interference noise estimation unit is ά ¹¹ , with:

Where /)^;^/)- ^,·) ^/))^ /)- ; β _η satisfies the condition | =1, ο≤Α≤ι, | | represents the pilot contained in the pilot index set The number of carriers. For the second data stream, the interference noise covariance matrix of each data subcarrier position within the interference noise estimation unit is ά ¹² , with:

Where = ₂ () ( ))( ₂ ( )- ₂ ( )Ρ ₂ ( )) β satisfies the condition

^' ₁₁ |^| = 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 In this application example, the interference suppression region pattern 1 is taken as an example. In this 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.

First, the receiving end multiplies the received signal W on each pilot subcarrier in the interference suppression region by the conjugate corresponding to the pilot signal transmitted by the transmitting end on the pilot subcarrier, that is, W = ^ »;), Wherein, the conjugate of the pilot signal transmitted by the transmitting end on the pilot subcarrier I is represented; then, the interference suppression region of the pattern 1 is equally divided into five, as shown in FIG. 3, each of which is a channel estimating unit, An interference noise estimation unit, the 20 pilot subcarriers included in the interference suppression region belong to 5 pilot index sets, that is, 1~4 belongs to, 5~8 belongs to 9~12 belongs to ί3⁄4, and 13~16 belongs to Ω ₄ , and 17~20 belong to ί3⁄4. When performing channel estimation: The channel coefficient estimates for all data subcarrier positions in the first channel estimation unit are:

The channel coefficient estimates for all data subcarrier locations within the second channel estimation unit are both 3⁄4, with: = «21

The estimated channel coefficient values for all data subcarrier locations within the third channel estimation unit are: 4 ^ 8 ^ 12 ^ 16 ^ 20 ^

i=\ i=5 i=9 i=13 i=\l

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| | =i, 0< _3⁄4 <1, = ι,···, 5, | | represents the number of pilot subcarriers included in the pilot index set. When performing interference noise estimation: 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 third channel estimation unit is R ³ , with: ―. = Αΐ Σ ^MP ( ⁺ ₃₂ ∑ R ( + R ) + !—P ) +

i=9 i=\3 Σ i=ll 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:

Wherein, the condition lQ| = i, ο ≤ β, ≤ ι, k = i, ..., 5, | | represents the number of pilot subcarriers included in the pilot index set. After completing the channel estimation _d () corresponding to the data subcarrier DsC(z) and the interference noise covariance matrix D (after estimation, the receiving end performs data detection, and has:

s{i) = h _d ^H {i) ^_ _D {i)y _d {i) where, is the column vector; when it is a row vector, the corresponding data detection formula is:

^ (= "(I) co « D (i) y d (i CO.'S where «» represents the input vector or scalar obtaining each element of the conjugated _t

Application Example 11 In this application example, the interference suppression region pattern 1 is taken as an example. In this 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.

First, the receiving end multiplies the received signal on each pilot subcarrier in the interference suppression region by the conjugate corresponding to the pilot signal transmitted by the transmitting end on the pilot subcarrier, that is: () = ^»;), Wherein, the conjugate of the pilot signal transmitted by the transmitting end on the pilot subcarrier I is represented; then, the interference suppression region of the pattern 1 is equally divided into five channel estimating units, as shown in FIG. 3, the interference suppression region is included The 20 pilot subcarriers belong to the 5 pilot index sets, namely: 1~4 belongs to 5-8 belongs to 9~12 belongs to ί3⁄4, 13~16 belongs to Ω ₄ , 17~20 belongs to channel estimation: The estimated channel coefficient values for all data subcarrier locations within the first channel estimation unit are:

4 ^ 8 ^ 12 ^ 16 ^ 20 ^

i=\ i=5 i=9 i=\3 i=\7

The channel coefficient estimates for all data subcarrier locations within the second channel estimation unit are h] , with:

4 ^ 8 ^ 12 ^ 16 ^ 20 ^

= «21 Σ (0 + "22 Σ WO ⁺ "23 Σ ( + «24 + «25

i=\ i=5 i=9 Σ i=13 Σ i=\l The channel coefficient estimates for all data subcarrier positions in the third channel estimation unit are , ,

4 ^ 8 ^ 12 ^ 16 ^ 20 ^

i=\ i=5 i=9 i=13 i=\l 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: | indicating the pilot index

The number of pilot subcarriers included in the set. Then, as shown in FIG. 4, 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 Ω, 5~12 belongs to Ω ₂ , and 13~20 belongs to Ω ₃ . When performing interference noise estimation: The interference noise covariance matrix of all data subcarrier positions in the first interference noise estimation unit is: «L = — _Ρ ('·)

The interference noise covariance matrices of all data subcarrier positions in the second interference noise estimation unit are:

4 12 20

K- _D = β∑ -Ρ ('·) + Α ₂ ∑ -Ρ ('·) + Α ₃ ∑ -Ρ ('·)

=5 i=13 The interference noise covariance matrix of all data subcarrier positions in the third interfering noise estimation unit is , with:

4 12 20

―. = Ρ {ή + β ₂ ∑ - _Ρ {ή + β∑ - _Ρ ('·)

= =\3 where: = ι, ο≤β, ≤ι, k = w, | | indicates the pilot index set

The number of pilot subcarriers included in μ. Completion of channel estimation corresponding to data subcarrier DsC(z) ^ W and interference noise covariance matrix

_D (After the estimation, the receiver performs data detection, there are:

Where co«» denotes the conjugate of each element of the input vector or scalar.

One of ordinary skill in the art will appreciate that all or a portion of the above steps may be performed by a program to instruct the associated hardware, such as a read only memory, a magnetic disk, or an optical disk. Alternatively, all or part of the steps of the above application examples may also be implemented using one or more integrated circuits. Correspondingly, each module/unit in the above application example may be implemented in the form of hardware, or may be implemented in the form of a software function module. The invention is not limited to any specific form of combination of hardware and software. The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention. Various modifications and variations of the present invention are possible in the art. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Industrial Applicability 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. Moreover, 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.

Claims

Claim

A method for estimating a wideband co-channel interference noise, which is used in a receiving end of an Orthogonal Frequency Division Multiplexing (OFDM) or Orthogonal Frequency Division Multiple Access (OFDMA) system, and is used in an interference suppression region. When a data stream is carried in the interference noise estimation, the method includes: for each pilot subcarrier corresponding to the data stream, according to the pilot signal sent by the transmitting end on the pilot subcarrier, the pilot subcarrier Calculating an interference noise covariance matrix of the pilot subcarrier position by using the received signal and the channel coefficient estimation value of the pilot subcarrier position; and corresponding to each data subcarrier corresponding to the data stream, corresponding to the data stream The weighted average of the interference noise covariance matrix of each pilot subcarrier position is used as the interference noise covariance matrix of the data subcarrier position; wherein the interference suppression region is a time-frequency two-dimensional resource block in the received data bearer region.

2. The method according to claim 1, wherein: for each data subcarrier corresponding to the data stream, a weighted average of an interference noise covariance matrix of each pilot subcarrier position corresponding to the data stream is used as the data sub In the step of the interference noise covariance matrix of the carrier position, the interference noise covariance matrix of the data subcarrier position is calculated by using equation (a):

The interference noise covariance matrix of the first data subcarrier position corresponding to the data stream in the interference suppression region, · = 1, . . . , J is the data subcarrier corresponding to the data stream in the interference suppression region. For the calculation of the interference noise covariance matrix of the _; data subcarrier position, give ^ _p (weight of 0, 3⁄4 ^{= 1} ; _ρ (0 is the corresponding 该 of the data stream in the interference suppression region) The interference noise covariance matrix of the pilot subcarrier positions, = ι,···, /, and / is the number of pilot subcarriers corresponding to the data stream in the interference suppression region.

3. The method of claim 2, the method further comprising: suppressing the interference before calculating an interference noise covariance matrix of the data subcarrier position according to equation (a) The area is divided into one or more 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 data subcarrier; calculating a data subcarrier position according to formula (a) When the interference noise covariance matrix is used, the same weight is assigned to the interference noise covariance matrix of each pilot subcarrier position in the same interference noise estimation unit.

4. The method according to claim 1, further comprising: when the interference noise estimation is performed on a data stream carried by the method in the interference suppression region, the interference suppression region is further divided into Interference noise estimation unit, each interference noise estimation 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, 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 matrix of the data subcarrier position, and the interference noise of the data subcarrier position is calculated by using equation (b) Covariance matrix:

among them,

/ is a loop variable, / = 1, 2, ···, Μ;

a set of indices I of pilot subcarriers included in the first interference noise estimation unit, = 1, · · · , / , / is the number of pilot subcarriers corresponding to the data stream;

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;

, for calculating ^ _ _D , assigning to each pilot subcarrier in the first/interference noise estimation unit

M

The weight of )^|^=1,0<^<1, || is the number of pilot subcarriers included.

1=1

5. The method of claim 4, wherein Calculate the weights used in equation (b), where / = 1, 2, · · · , Μ , greater than or equal to other weights.

The method according to claim 1, wherein each pilot subcarrier corresponding to the data stream is received according to a pilot signal sent by the transmitting end on the pilot subcarrier, and the pilot subcarrier is received. Calculating the interference coefficient covariance matrix of the pilot subcarrier position in the step of calculating the interference coefficient covariance matrix of the pilot subcarrier position by using the channel coefficient estimation value of the signal and the pilot subcarrier position, and calculating the interference noise covariance matrix of the pilot subcarrier position by using equation (c) : Ι-Ρ( = (y _P {i) p {i)) (y _P (Ή {ή ρ {ή) (c) where _P (0 is the first corresponding to the data stream in the interference suppression region The interference noise covariance matrix of the pilot subcarrier position, = ι,···, /, / is the number of pilot subcarriers corresponding to the data stream in the interference suppression region, /) is the transmitting end at the first a pilot signal transmitted on a pilot subcarrier, W is a received signal on the first pilot subcarrier, is an estimated channel coefficient of the first pilot subcarrier position, and (( ) »( )^ represents a matrix (The total transposition.

7. The method according to claim 1, wherein each interference suppression region included in the received data bearer region is subjected to interference noise estimation for each data stream carried by the interference suppression region by using the method, or The one or more data streams in the interference suppression region are used by the method 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. Interference noise estimation, the set value is greater than or equal to the number of receiving antennas at the receiving end.

The method according to any one of claims 1 to 7, wherein, in the interference suppression area, when the method performs interference noise estimation on a data stream carried therein, the data is calculated as follows. The channel coefficient estimation value of each pilot subcarrier position corresponding to the stream: multiplying the received signal on the pilot subcarrier by the conjugate of the pilot signal transmitted by the transmitting end on the pilot subcarrier, to obtain the guide Estimated channel coefficient for the frequency subcarrier position.

9. A method for wideband co-frequency interference suppression, 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, using the method When performing interference suppression on a data stream carried in the method, the method includes: the interference noise estimation method according to claim 8, obtaining channel coefficient estimation values of each pilot subcarrier position corresponding to the data stream, and each data subcarrier The interference noise covariance matrix of the location; 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 used as the channel coefficient estimation of the data subcarrier position a value; a data subcarrier corresponding to the data stream, based on the received signal on the data subcarrier, and the channel coefficient estimation value of the data subcarrier position and the interference noise covariance matrix, calculated on the data subcarrier Data signal estimation; wherein the interference suppression area is a time-frequency two-dimensional resource block in the received data bearer area.

10. The method according to claim 9, further comprising: dividing interference suppression region into f channel estimates when performing interference suppression on a data stream carried by the method in an interference suppression region a unit, each channel estimation unit is a time domain two-dimensional resource block and 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, the data stream is In the step of weighting the channel coefficient estimation values of the respective pilot subcarrier positions as the channel coefficient estimation value of the data subcarrier position, the channel coefficient estimation value of the data subcarrier position is calculated by using the formula (d):

among them,

The channel coefficient estimate for each data subcarrier location corresponding to the data stream in the first channel estimation unit, k = \, 2, - - - , K

/ is a loop variable, ! = 1, 2, · · · , K The set of indices of the pilot subcarriers included in the first channel estimation unit, = 1,···, /,

/ the number of pilot subcarriers corresponding to the data stream; an estimated channel coefficient of the first pilot subcarrier position corresponding to the data stream in the interference suppression region;

Value, ∑| ^Ω ⁼¹ , ^{0 ≤ ≤1} , | | indicates the number of pilot subcarriers included, and is at weight

1=1

03⁄4, ! = 1,2, --·,Κ , greater than or equal to other weights.

The method according to claim 9 or 10, wherein, for each interference suppression region included in the received data bearer region, interference suppression is performed on each data stream carried by the interference suppression region by using the method, or And the one or more data flows in the interference suppression region are used by the method only when the number of pilot subcarriers corresponding to the one or more data streams carried in the interference suppression region is greater than or equal to a set value. Interference suppression is performed, and the set value is greater than or equal to the number of receiving antennas at the receiving end.

12. A system for wideband co-channel interference noise estimation, which is used for a receiving end of an Orthogonal Frequency Division Multiplexing (OFDM) or Orthogonal Frequency Division Multiple Access (OFDMA) system, one of which is carried in an interference suppression region. The data stream is subjected to interference noise estimation, 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: each pilot subcarrier corresponding to the data stream, Multiplying 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, setting For each pilot subcarrier corresponding to the data stream, 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 of the pilot subcarrier position Estimating a value, calculating an interference noise covariance matrix of the pilot subcarrier position; and a third device, configured to: for each data subcarrier corresponding to the data stream, the data stream The weighted average of the interference noise covariance matrices of the corresponding pilot subcarrier positions is taken as the interference noise covariance matrix of the data subcarrier position.

13. The system of claim 12, further comprising: a fourth device configured to: divide the interference suppression region into interference noise estimation units, each interference noise estimation unit being a time domain two-dimensional resource Block and comprising at least one pilot subcarrier and one data subcarrier, which are positive integers; the third device is an interference noise covariance matrix set to each pilot subcarrier position corresponding to the data stream according to the following calculation formula The weighted average is used as the interference noise covariance matrix for the data subcarrier position:

among them,

/ is a loop variable, / = 1,2,···,Μ;

_P W is an interference noise covariance matrix of the first pilot subcarrier position corresponding to the data stream;

M

The weight of the pilot, ∑^|^=1,0<^<1, | | is the number of pilot subcarriers included,

1=1

And in the weight, / = 1, 2, is greater than or equal to other weights.

14. The system of claim 12, wherein

The second device is configured to each pilot subcarrier corresponding to the data stream according to the following formula, Obtaining an interference noise association of the pilot subcarrier position according to a pilot signal transmitted by the transmitting end on the pilot subcarrier, a received signal on the pilot subcarrier, and a channel coefficient estimation value of the pilot subcarrier position Variance matrix:

Where _p (0 is the interference noise covariance matrix of the first pilot subcarrier position corresponding to the data stream in the interference suppression region, = 1, · · · ·, /, / is the data flow in the interference suppression region The number of corresponding pilot subcarriers, /) is the pilot signal transmitted by the transmitting end on the first pilot subcarrier, and 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 ( ( )-.

15. A system for wideband co-frequency interference suppression, applied to a receiving end of an Orthogonal Frequency Division Multiplexing (OFDM) or Orthogonal Frequency Division Multiple Access (OFDMA) system, carried in an interference suppression region A data stream is used for interference suppression, and the interference suppression area is a time-frequency two-dimensional resource block in the received data bearer area, the system comprising: a first device configured to: according to the system of claim 12 or 13 or 14. In the same manner, 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: each corresponding to the data stream a data subcarrier, a weighted average of channel coefficient estimation values of the pilot subcarrier positions corresponding to the data stream, as a channel coefficient estimation value of the data subcarrier position; and a third device, configured to: the data Each data subcarrier corresponding to the stream, based on the received signal on the data subcarrier, and the estimated channel coefficient of the data subcarrier position and Interference noise covariance matrix, the calculated data signal on the data subcarrier estimated.

The system of claim 15, further comprising: a fourth device, configured to: divide the interference suppression region into f channel estimation units, each channel estimation unit being a time domain two-dimensional resource block And including at least one pilot subcarrier and one data subcarrier, where f is a positive integer; The second device is configured to calculate, according to the following calculation formula, a data weighted average of channel coefficient estimates of respective pilot subcarrier positions corresponding to the data stream as the data subcarrier position. Estimated channel coefficient:

/=1 ieQf where,

/ is a loop variable, ! = 1,2,···, K

1=1

03⁄4, ! = 1,2, --·,Κ , greater than or equal to other weights