WO2012079348A1

WO2012079348A1 - Methods for estimating broadband co-channel interference and noise and suppressing interference, and systems thereof

Info

Publication number: WO2012079348A1
Application number: PCT/CN2011/075517
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: 2010-12-15
Filing date: 2011-06-09
Publication date: 2012-06-21
Also published as: CN102546483B; CN102546483A

Abstract

Methods for estimating broadband co-channel interference and noise and suppressing interference, and systems thereof, are disclosed. The method for estimating broadband co-channel interference and noise includes the following steps: for each data sub-carrier corresponding to a data flow, a weighted average for a product of a received signal on each pilot sub-carrier corresponding to the data flow and the conjugate transpose of the received signal is determined as an estimated value of an interference and noise covariance matrix in the position of the data sub-carrier; and for each data sub-carrier corresponding to the data flow, the result obtained by performing diagonal loading to the estimated value of the interference and noise covariance matrix in the position of the data sub-carrier is determined as the interference and noise covariance matrix in the position of the data sub-carrier. The present invention can acquire a more accurate interference and noise characteristics, thus being advantageous to improving the performance of interference rejection and the accuracy of data detection.

Description

TECHNICAL FIELD The present invention relates to the field of communications, and in particular, to a method and a corresponding system for wideband co-channel interference noise estimation and interference suppression.

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 for a new generation of 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 wireless communications in which the network is arranged in a cellular structure, co-channel interference between adjacent cells is one of the most important factors leading to a degradation in communication quality, as shown in FIG. Because the interference source is the data signal sent by the neighboring cell user on the same frequency resource, the receiving end must accurately estimate the channel coefficient, the interference channel coefficient or the interference feature of the desired data to perform more accurate data detection. However, when the data pilot subcarriers between adjacent cells coincide at the time-frequency position, it brings great difficulty to the interference estimation. Since the coincidence of the interference pilots leads to a degradation of the channel estimation quality, that is, the channel estimation itself carries the interference information, making the estimation of the interference noise characteristics 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) algorithm, will be greatly reduced.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a method and corresponding system for wideband co-channel interference noise estimation, The problem of inaccurate estimation of interference noise characteristics when there is co-channel interference in adjacent cells is solved. In order to solve the above technical problem, the present invention provides a method for wideband co-channel interference noise estimation, 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 In the suppression region, when the method performs interference noise estimation on a data stream carried in the method, the method includes: receiving, on each pilot subcarrier corresponding to the data stream, the reception on each pilot subcarrier corresponding to the data stream a weighted average of the product of the signal and the conjugate transpose of the received signal as an interference noise covariance matrix estimate for the data subcarrier position; and for each data subcarrier corresponding to the data stream, the data subcarrier will be The interference noise covariance matrix estimated value of the position is diagonally loaded 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 . In the method of the present invention, the weighted average of the product of the received signal on each pilot subcarrier corresponding to the data stream and the conjugate transposed on the received signal for each data subcarrier corresponding to the data stream, In the step of estimating the interference noise covariance matrix of the data subcarrier position, the equation (a) is used to calculate the interference noise covariance matrix estimate of the data subcarrier position:

Wherein, the estimated value of 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 corresponding to the data stream in the interference suppression region The number of carriers; = 1, · · ·, /, / is the number of pilot subcarriers corresponding to the data stream in the interference suppression region; ^ is to calculate the _th data corresponding to the data stream in the interference suppression region The interference noise covariance matrix estimate for the subcarrier position is given the weight of ( ( i ) ) ( y _p (i )f ,

_Σβ ϋ = \; W to the receiving end in the area of the interference suppression data stream corresponding to a first received signal on pilot subcarriers, and (for the (conjugate transposed matrix according to formula (a. Before the step of calculating an interference noise covariance matrix estimate of the data subcarrier position, the method further includes: The interference suppression 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 therein;

When the interference noise covariance matrix estimation value of the data subcarrier position is calculated according to equation (a), the same weight is given to the product of the received signal on each pilot subcarrier in the same interference noise estimation unit and its conjugate transposed. The method further includes:

When the interference noise estimation is performed 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 unit is a time domain two. a dimension resource block and including at least one pilot subcarrier and a data subcarrier, which are positive integers; and each data subcarrier corresponding to the data stream, receiving on each pilot subcarrier corresponding to the data stream A weighted average of the product of the signal and the conjugate transpose of the received signal as a step of estimating the interference noise covariance matrix of the data subcarrier position, using equation (b) to calculate the interference noise covariance of the data subcarrier position Matrix estimate:

R

among them,

O The estimated value of the interference noise covariance matrix for each data subcarrier position corresponding to the data stream in the mth interference noise estimation unit, m = 1, 2, · · · , Μ; / is a cyclic variable, / = 1 , 2, · · · , ;

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

^;) is the received signal of the receiving end on the first pilot subcarrier corresponding to the data stream; (a wide () conjugate transposed matrix; When β _η ι is calculated as ic _M — _D , it is assigned to each pilot subcarrier corresponding to the data stream in the third interference noise estimation unit (the weight of the product of (, | | is

The number of pilot subcarriers included. 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 are greater than or equal to other weights. In the method of the present invention, the data interference result obtained by diagonally loading the interference noise covariance matrix estimation value of the data subcarrier position is used as the data subcarrier position for each data subcarrier corresponding to the data stream. In the step of the interference noise covariance matrix, the interference noise covariance matrix of the data subcarrier position is calculated by using equation (c): R _M _ _D 0) = R _M _ _D (j) + βΑ ( c ) where R _W _ _D /) is the interference noise covariance matrix of the _th data subcarrier position corresponding to the data stream in the interference suppression region, · = 1,···, J is the data stream corresponding to the interference suppression region The number of data subcarriers; ≥ 0; is the estimated value of the interference noise covariance matrix of the _; data subcarrier positions corresponding to the data stream in the interference suppression region; β>0 Λ represents the diagonal matrix of N xN _3⁄4 And _3⁄4 denote the number of receiving antennas at the receiving end. In the method of the present invention, the interference noise covariance matrix of the first data subcarrier position is:

Where 0 ≤ ≤1; tr( _M — _D (_/′ represents the trace of the matrix; / is the number of pilot subcarriers corresponding to the data stream in the interference suppression region, 1 is ^„^^ _3⁄4 In the method of the present invention, when the interference noise estimation is performed on a data stream carried by the method in the interference suppression region, each pilot subcarrier position corresponding to the data stream is calculated in the following manner. Estimated value of the channel coefficient: Multiply the received signal on the pilot subcarrier with the conjugate of the pilot signal transmitted by the transmitting end on the pilot subcarrier to obtain an estimated channel coefficient of the pilot subcarrier position. Correspondingly, the present invention also provides a system for wideband co-channel interference noise estimation, 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. Performing interference noise estimation on a data stream carried therein, the interference suppression area being a time-frequency two-dimensional resource block in the received data bearer area, the system comprising: a first device, configured to: each corresponding to the data stream a data subcarrier, a weighted average of a product of a received signal on each pilot subcarrier corresponding to the data stream and a conjugate transposed of the received signal, as an interference noise covariance matrix estimation value of the data subcarrier position; And a second device, configured to: diagonally load the estimated value of the interference noise covariance matrix of the data subcarrier position obtained by the first device for each data subcarrier corresponding to the data stream As a result, the interference noise covariance matrix is the position of the data subcarrier. In the system of the present invention, the first device is configured to calculate an interference noise covariance matrix estimate of the data subcarrier position using equation (a):

Wherein, the estimated value of 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 corresponding to the data stream in the interference suppression region The number of carriers; = 1, · · ·, /, / is the number of pilot subcarriers corresponding to the data stream in the interference suppression region; ^ is to calculate the first data subcarrier corresponding to the data stream in the interference suppression region imparting ((I)) weight (y _p (i) f the noise covariance matrix estimate interference position,

_Σβ ϋ = \; W to the receiving end in the area of the interference suppression corresponding to the first data stream, the received signal on pilot subcarriers, (widely (conjugate transpose matrix of the system further. A third device is included, where: the third device is configured to: divide the interference suppression region 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 a pilot subcarrier and a data subcarrier; the first device calculates the interference noise covariance matrix estimation value of the data subcarrier position according to the equation (a), and is the reception on each pilot subcarrier in the same interference noise estimation unit Signal and its conjugate Set the product, giving the same weight. The system further includes a fourth device, where: the fourth device is 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; for each data subcarrier corresponding to the data stream, the first device is set to be on each pilot subcarrier corresponding to the data stream according to the following formula A weighted average of the product of the received signal and the conjugate transpose of the received signal as the estimated value of the interference noise covariance matrix for the data subcarrier position:

among them,

O The estimated value of the interference noise covariance matrix for each data subcarrier position corresponding to the data stream in the mth interference noise estimation unit, m = 1, 2, · · ·, Μ;

/ is a loop variable, / = 1,2,···,Μ;

a set of index I of pilot subcarriers corresponding to the data stream included in the first interference noise estimation unit, = 1, . . . , /, / is the pilot subcarrier corresponding to the data stream in the interference suppression region Number of

^;) is the received signal of the receiving end on the first pilot subcarrier corresponding to the data stream; y _p (if is the conjugate transposed matrix of (); fi _ml is calculated - _D , the first Each channel corresponding to the data stream in the interference noise estimation unit

M

The weight of the product of w and (the ΣΙ ^Ω ^{=1 =1} , ^{0 ≤ ≤ 1} , | |

1=1

The number of pilot subcarriers included is greater than or equal to other weights. In the system of the present invention, for each data subcarrier corresponding to the data stream, the second device is configured to diagonally load the estimated value of the interference noise covariance matrix of the data subcarrier position according to the following formula: As a result, the interference noise covariance matrix as the data subcarrier position: NI-D

Where R _W _ _D /) is the interference noise covariance matrix of the _th data subcarrier position corresponding to the data stream in the interference suppression region, · = 1,···, J is the interference suppression region The number of data subcarriers corresponding to the data stream; ≥ 0; is the estimated value of the interference noise covariance matrix of the _; data subcarrier positions corresponding to the data stream in the interference suppression region; β>0 Λ represents N xN _3⁄4 The diagonal matrix, _3⁄4, represents the number of receiving antennas at the receiving end. In the system of the present invention,

The interference noise covariance matrix of the first data subcarrier position calculated by the second device is:

Where 0 ≤ ≤1; tr( _M — _D (_/′ represents the trace of the matrix; / is the number of pilot subcarriers corresponding to the data stream in the interference suppression region, 1 is ^„^^ _3⁄4 The unit matrix further includes: a fifth device, wherein: the fifth device is configured to obtain, at the following manner, a channel coefficient estimation value of each pilot subcarrier position corresponding to the data stream at the transmitting end and output the The first device: multiplies the received signal on the pilot subcarrier by a conjugate of the pilot signal transmitted by the transmitting end on the pilot subcarrier to obtain an estimated channel coefficient of the pilot subcarrier position.

The above-mentioned wideband co-channel interference estimation method 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 this area, when this method is used to perform interference suppression on a data stream carried in it, The method includes: obtaining, according to the interference noise estimation method, 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; corresponding to the data stream a weighted average of the channel coefficient estimates of the respective pilot subcarrier positions corresponding to the data stream, as the channel coefficient estimation value of the data subcarrier position; and each data substring corresponding to the data stream Transmitting, 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 receiving A time-frequency two-dimensional resource block in the data bearer area. The method further includes: after calculating the data signal estimation on the data carrier for each data subcarrier corresponding to the data stream, demodulating the estimated data signal, and demodulating the obtained data signal Soft information corresponding to each bit of the signal L[,...'! _F is adjusted, and the soft information corresponding to each bit after adjustment is G{j)Li, -, G{j)U _F ; wherein, ' = l, ···, J, J is the data in the interference suppression area The number of data subcarriers corresponding to the stream;

F is the number of bits included in the data signal on the Jth data carrier corresponding to the data stream in the interference suppression area, and indicates the channel gain corresponding to the _/th data carrier corresponding to the data stream in the interference suppression area. 4 ( ) (R _W — (7) or signal to interference and noise ratio

2

h _d {j) is a channel coefficient estimation value of the Jth data subcarrier position corresponding to the data stream in the interference suppression region, /) is a conjugate transposed matrix of 4 (·;), R _M _ _D /; > is the interference noise covariance matrix of the first data subcarrier position, (R _M — _D ( )) ' ¹ is the inverse matrix of R _M _ _D (_/·); = 1, ···, /, / The number of pilot subcarriers corresponding to the data stream in the interference suppression region; ft ή is the channel coefficient estimation of the first pilot subcarrier position corresponding to the data stream in the interference suppression region Value, ( for the conjugate transposed matrix, _M _ _P W is the first, the interference noise covariance matrix of the pilot subcarrier position, ¹ is the inverse matrix of ^; () is the receiving end in the interference suppression region a received signal on the first pilot subcarrier corresponding to the data stream, and a transmit signal on the first pilot subcarrier corresponding to the data stream in the interference suppression region by the transmitting end. And performing interference suppression on a data stream carried by the method in the interference suppression region, and dividing the interference suppression region into f channel estimation units, where each channel estimation unit is a time domain two-dimensional a resource block and including at least one pilot subcarrier and one data subcarrier, where f is a positive integer; and for each data subcarrier corresponding to the data stream, a channel of each pilot subcarrier location corresponding to the data stream The weighted average of the coefficient estimates, as a step of estimating the channel coefficients for the data subcarrier position, is calculated as follows:

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,···,Κ

Ω, which is a set of indices of pilot subcarriers corresponding to the data stream in the interference suppression region included in the first channel estimation unit, = 1, . . . , /, / is corresponding to the data stream in the interference suppression region The number of pilot subcarriers; the estimated channel coefficient of the first pilot subcarrier position corresponding to the data stream in the interference suppression region;

O _kl is calculated, giving the first / channel estimation unit for each pilot sub-carrier position ίι Ρ ₍₎ of

Κ

Weight, ∑| ^Ω ⁼¹ , ^{0 ≤ ≤1} , | | indicates the number of pilot subcarriers included, and is in the right

1=1 In the value, l = \, 2, K, is greater than or equal to other weights.

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 bearer region, the system includes: a first subsystem, configured to: In the same manner as the system for interference noise estimation, 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 obtained; the second subsystem is set to: Each data subcarrier corresponding to the data stream, a weighted average of channel coefficient estimates of respective pilot subcarrier positions corresponding to the data stream, as a channel coefficient estimate of the data subcarrier position; and a third subsystem, Set to: each data subcarrier corresponding to the data stream, according to the received signal on the data subcarrier, and the location of the data subcarrier Channel coefficient estimates and the covariance matrix of interference noise, the data signal is calculated on the data subcarrier estimated. The system further includes a fourth subsystem, wherein: the fourth subsystem is configured to: calculate, for each data subcarrier corresponding to the data stream, a data signal estimate on the data carrier calculated by the third subsystem After that, the estimated data signal is demodulated, and the soft information corresponding to each bit of the signal obtained after demodulation is adjusted, and the soft information corresponding to each bit after adjustment is respectively

Where ' = l, · · · , J , J are the number of data subcarriers corresponding to the data stream in the interference suppression region;

F is the number of bits included in the data signal on the Jth data carrier corresponding to the data stream in the interference suppression area, and indicates the _/·th data carrier pair corresponding to the data stream in the interference suppression area.

( ) (R _W — (7) or signal to interference and noise ratio

h _d {j) is an estimated channel coefficient of the jth data subcarrier position corresponding to the data stream in the interference suppression region, /) is a conjugate transposed matrix of 4 (·;), R _M _ _D /; > is the interference noise covariance matrix of the first data subcarrier position, (R _M — _D ( )) ' ¹ is the inverse matrix of R _M _ _D (_/·); = 1, ···, /, / The number of pilot subcarriers corresponding to the data stream in the interference suppression region; ft ή is the channel coefficient estimation value of the first pilot subcarrier position corresponding to the data stream in the interference suppression region, and is a conjugate rotation The matrix, _M _ _P W is the interference noise covariance matrix of the first pilot subcarrier position, where ¹ is the inverse matrix of ^; () is the number corresponding to the data stream in the interference suppression region of the receiving end, The received signal on the pilot subcarrier is the transmit signal on the first pilot subcarrier corresponding to the data stream in the interference suppression region. The system further includes a fifth subsystem and a sixth subsystem, wherein: the fifth subsystem is configured to: divide the interference suppression region into K channel estimation units, each channel estimation unit is a time domain two-dimensional a resource block and including at least one pilot subcarrier and one data subcarrier, where f is a positive integer; the sixth subsystem is set to: for each data subcarrier corresponding to the data stream, using the following formula to the data The weighted average of the channel coefficient estimates for the respective pilot subcarrier locations corresponding to the stream, as the channel coefficient estimates for the data subcarrier locations:

/=1 ieQf where,

/ is a loop variable, ! = 1,2,···,Κ

Ω, which is a set of indices of pilot subcarriers corresponding to the data stream in the interference suppression region included in the first channel estimation unit, = 1, . . . , /, / is corresponding to the data stream in the interference suppression region The number of pilot subcarriers; the channel of the first pilot subcarrier position corresponding to the data stream in the interference suppression region Coefficient estimate; a _kl is the ΐ _Ρ () assigned to the position of each pilot subcarrier in the channel estimation unit when calculating

Κ

1=1

In value 03⁄4, 1 = \, 2,···, Κ , is greater than or equal to other weights.

The above-mentioned method for suppressing broadband co-channel interference is 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, the bold coil represents the pilot subcarrier, the thin coil represents the data subcarrier, and the following FIG. 6 and FIG. 7 are the same; FIG. 6 is a division of the interference suppression region pattern 2 FIG. 7 is a schematic diagram of a manner of dividing the interference suppression region pattern three; FIG. 8 is a schematic diagram of a manner of dividing the interference suppression region pattern four, where the thick coil indicates the data stream 1 corresponding The pilot subcarrier, the dotted coil represents the pilot subcarrier corresponding to the data stream 2, and the thin coil represents the data subcarrier, which is the same as FIG. 9; FIG. 9 is a manner of dividing the interference suppression region pattern five. Schematic diagram.

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 method for estimating and suppressing wideband co-channel interference in this embodiment is applied to orthogonal frequency division multiplexing

(Orthogonal Frequency Division Multiplexing, OFDM) or Orthogonal Frequency Division Multiple Access (OFDMA) system. The transmitting end in the text may be a control device such as a base station and a relay station, or may be 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 control device such as a base station and 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. Certainly, in other embodiments, the relatively independent time-frequency two maintenance resources in the received data bearer area may be further divided into multiple interference suppression areas. In an OFDM/OFDMA system, the interference suppression area may carry one or more data streams, and each data stream corresponds to one or more data subcarriers and pilot subcarriers, and different pilot streams corresponding to different data streams are different. As shown in FIG. 2, in each interference suppression region, 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 Weighted average of the product of each data subcarrier, the received signal on each pilot subcarrier corresponding to the data stream and the conjugate transposed of the received signal, as the interference noise covariance matrix estimation of the data subcarrier position Value; DsC( ) is used to represent the jth data subcarrier corresponding to the data stream in the interference suppression region, 7 = 1,···, J , then the estimated value of the interference noise covariance matrix corresponding to DsC(/) ^ Formula (1)

Where, in order to calculate the correspondence of DsC(/), the product of (_;) and ((7) is given Weight, ∑y3⁄4 ⁼¹ , part of the weight may be 0; W is the receiving end in the interference suppression area

7=1

The received signal on the first pilot subcarrier corresponding to the data stream, = ι,···, /, / is the number of pilot subcarriers corresponding to the data stream in the interference suppression region, and J is the interference suppression The number of data subcarriers corresponding to the data stream in the region, and (^ represents a matrix (conjugate transpose of (·). Step 20, for each data subcarrier corresponding to the data stream, the location of the data subcarrier will be The result obtained by diagonally loading the estimated value of the interference noise covariance matrix as the interference noise covariance matrix of the data subcarrier position;

That is, the interference noise covariance matrix R _W _ _D /) of the DsC(/) position is obtained by the equation (2):

Wherein, ≥0, β≥0, Λ represents N xN _¾ diagonal matrix, i.e., in addition to the non-zero diagonal elements, the elements of the other positions are 0, N _¾ denotes the number of receive antennas. Preferably,

R _w — _D O) = R _M _ _D O) + 7 „ ( 3 ) where ≤ ≤ l, and determined by /; tr( _M — _D ( ′′ indicates the trace of the matrix, ie the matrix _M — _D (j), an accumulated sum of all diagonal elements; / interference area for the data stream corresponding to the number of pilot subcarriers is suppressed, I is a unit matrix NXN _¾ above two steps, the receiving end has been completed. The estimation of the broadband co-channel interference noise in the interference suppression region is performed. 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. And calculating, on each data subcarrier corresponding to the data stream, the data on the data subcarrier 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. Signal estimation The operation of this step is a conventional operation. For example, the data signal corresponding to the data subcarrier DsC() corresponding to the data stream in the interference suppression region is calculated by the following method: When ^ (represented as column direction) Time,

When 4 ( · ) is represented as a row vector,

Where 4(·) is the estimated channel coefficient corresponding to the data subcarrier DsC(/), which is a conjugated transposition of 4(·), ′′ indicates that the element of 4(取) is 辄, (R _w —.(_ /)) - ¹ is the inverse matrix of R _w — ), and (_/·) is the received signal on DsC(). In this embodiment, (_/) is represented as a column vector, and if (7·) is expressed as a row vector, the above formula needs to be adaptively changed, and will not be described again. For each data stream in the same interference suppression area, the corresponding data calculation can be obtained according to the above steps. Of course, the specific weight selection can be different. As described above, the pilot subcarriers and the data subcarriers corresponding to the data stream in the foregoing steps all refer to the pilot subcarriers and the data subcarriers in the current interference suppression region. The data signal estimation on each of the data subcarriers obtained above can be sent to a demodulation decoding device to complete the detection of the data.

After (·) demodulation, the soft information metric L[,...'! corresponding to each bit obtained after demodulation can also be performed. ^Adjustment, the soft information metric corresponding to each bit after adjustment is G(j)Li, --,, G(j)U _FO where F is the number of bits contained in (·), indicating the _/· Data

Η(υ ΐι— ¹ ^ ) or the signal to noise ratio after the adjustment is completed, then the adjusted place

Soft information is sent to the decoder to complete the data decoding. Wherein, the conjugate transposed matrix of (·), = 1, ···, /, / is the number of pilot subcarriers corresponding to the data stream in the interference suppression region; the data stream in the interference suppression region Corresponding channel coefficient estimated value of the first pilot subcarrier position, h _p ^H () is a conjugate transposed matrix of _p (), and () is the number corresponding to the data stream of the receiving end in the interference suppression region, The received signal on the pilot subcarriers is the transmit signal on the first pilot subcarrier corresponding to the data stream in the interference suppression region. Other parameters are defined as above, and will not be described here. In this embodiment, the estimated channel coefficient estimates of the pilot subcarriers and the data subcarrier positions used in the steps of the wideband co-channel interference noise estimation and interference suppression method are calculated by the following methods: get:

Step 1: For each pilot subcarrier corresponding to the data stream in the interference suppression area, the receiving end shares the received signal on the pilot subcarrier with the pilot signal sent by the transmitting end on the pilot subcarrier. Multiplying the yoke to obtain a channel coefficient estimation value of the pilot subcarrier position; the channel coefficient estimation value h _P () corresponding to the first pilot subcarrier PsC(z) corresponding to the data stream in the interference suppression region is Get:

^( =^( ( ⁶ ) where = ι,···, /, / is the number of pilot subcarriers corresponding to the data stream in the interference suppression region, (Ζ) is the interference suppression at the receiving end The received signal on the first pilot subcarrier corresponding to the data stream in the area is a pilot signal sent by the transmitting end on the first pilot subcarrier corresponding to the data stream in the interference suppression area. Conventional), indicating that the pair is conjugated. Because the correlation of the pilot signals on the same pilot subcarrier is relatively low, the interference signal of the adjacent cell pilot band on the pilot subcarrier can be filtered out by the above operation. Obtaining a relatively 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 For each data subcarrier, the receiving end weights the channel coefficient estimation value of each pilot subcarrier position corresponding to the data stream in the interference suppression region as the channel coefficient estimation value of the data subcarrier position. The interference suppression area, the data stream corresponding to a first-data subcarriers denoted DsC (/), DsC () the position of the channel coefficient estimates /) according to equation (7) to give:

Wherein, in order to calculate /) corresponding to DsC(), the weight of ^() is given, and the part (the weight of 0 " _y can be 0, and other parameters have the meanings as described above. The receiving end may further divide the interference suppression area into f time-frequency two-dimensional resource blocks, =1, 2, . . .; each time-frequency two-dimensional resource block is used as a channel estimation unit, and each channel estimation unit includes At least one pilot subcarrier and one data subcarrier. In an embodiment in which the channel estimation unit partitioning is performed, when the channel coefficient estimation value of a certain data subcarrier position is calculated according to the formula (7), the pilot subcarrier positions corresponding to the data stream in the same channel estimation unit are The channel coefficient estimates give the same weight. In another embodiment in which the channel estimation unit partitioning is performed, when calculating the channel coefficient estimation values of the respective data subcarrier positions corresponding to the data stream in the same channel estimation unit according to formula (7), a set of the same weight is taken. _y ., = ν··, /, 7 = 1,···, J, The channel coefficient estimates of the respective data subcarrier positions corresponding to the obtained data stream 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 index constituents of the pilot subcarriers included in the kth channel estimation unit is A, k = \, 2, ---, K; % k channel estimation units corresponding to each data subcarrier of the data stream The estimated channel coefficient of the position is equal, and it is recorded that the receiving end calculates the following:

Where / is a loop variable, 1 = \, 2, ···, , 03⁄4 is the weight of the channel coefficient estimate assigned to each pilot subcarrier position corresponding to the data stream in the channel estimation unit when calculating Value because

K

Is a weighted average, to satisfy the condition ∑| | =1,0≤ ≤1, where | | denotes the pilot index

1=1

The number of pilot subcarriers included in the set. At the time-frequency, the closer the pilot subcarriers are to a certain data subcarrier, the stronger the channel correlation. Therefore, preferably, in calculating the weight used, " _w ,

"tt is greater than or equal to other weights, ! = , K. It can be seen that in this embodiment, when calculating the channel coefficient estimation value of a certain data subcarrier position according to formula (7), for each pilot in the same channel estimation unit Estimating the channel coefficient of the subcarrier position, taking the same weight, and calculating the channel coefficient estimate of each data subcarrier position in the same channel estimation unit When calculating, the same set of weights is taken, so that the obtained channel coefficient estimates of the respective data subcarrier positions are the same. In the time-frequency region, the closer the pilot subcarriers are to a certain data subcarrier, the stronger the channel correlation. Therefore, preferably, in calculating the weight of the weight, ^1⁄2 is greater than or equal to the other weights, ί = 1, 2, "', Κ. 釆 The above method based on the channel estimation unit can simplify the calculation. In the same-frequency interference noise estimation and interference suppression method, the weighted average of step 20 may be performed based on the interference noise estimation unit. The receiving end further subdivides the interference suppression region into a time-frequency two-dimensional resource block, Λ/=1, 2,. Each time-frequency two-dimensional resource block is used as an interference noise estimation unit, and each interference noise estimation unit includes at least one pilot sub-carrier. The division of the channel estimation unit and the interference noise estimation unit in the same interference suppression region may be the same. In an embodiment in which interference noise estimation unit division is performed, when the interference noise covariance matrix estimation value of a certain data subcarrier position is calculated according to formula (1), each pilot in the same interference noise estimation unit is used. The interference noise covariance matrix of the subcarrier position is given the same weight. In another embodiment of performing interference noise estimation unit partitioning, calculation is performed according to formula (1) When an interference noise covariance matrix estimation value of each data subcarrier position in the interference noise estimation unit is obtained, the same set of weights 7 = 1, . . . , J is obtained, and the same interference noise covariance matrix estimation value is obtained. A further embodiment of performing interference noise estimation unit partitioning may be combined with the manner of the above two embodiments. ^Bottom: defining a set of index constituents of pilot subcarriers included in the mth interference noise estimating unit is m = \, 2, M. The estimated noise interference 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 the following formula:

Where / is a loop variable, / = 1,2,···,Μ; for calculating ^ _-D , assigning the () and {if product of each pilot subcarrier position in the first/interference noise estimation unit Weight, because it is plus The weight average, , must satisfy the condition ∑|4| ^{= 1} , ^{0 ≤ ≤1} , where | | denotes the pilot index set

1=1

The number of pilot subcarriers included. It can be seen that, in this embodiment, when calculating the interference noise covariance matrix estimation value of a data subcarrier position according to formula (1), the interference noise covariance matrix of each pilot subcarrier position in the same interference noise estimation unit, Taking the same weight; and calculating the interference noise covariance matrix estimation value of each data subcarrier position in the same interference noise estimation unit, by taking the same set of weights, making the interference noise covariance of each data subcarrier position The matrix estimates are the same. In the time-frequency region, the closer the pilot subcarriers are to a certain data subcarrier, the stronger the channel correlation. 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 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. 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 a weighted average of the product of the received signal on each pilot subcarrier corresponding to the data stream and the conjugate transposed of the received signal, as the estimated value of the interference noise covariance matrix of the data subcarrier position And a second device, configured to: perform a diagonal loading on the estimated value of the interference noise covariance matrix of the data subcarrier position obtained by the first device for each data subcarrier corresponding to the data stream, As the interference noise covariance matrix of the data subcarrier position. The first device is configured to calculate an interference noise covariance matrix estimate of the data subcarrier position according to equation (a):

Wherein, the estimated value of the interference noise covariance matrix of the jth data subcarrier position corresponding to the data stream in the interference suppression region, · = 1,···, J is the data flow in the interference suppression region Corresponding number of data subcarriers; = 1, · · ·, /, / is the number of pilot subcarriers corresponding to the data stream in the interference suppression region; ^ is to calculate the corresponding data stream in the interference suppression region _; the interference noise covariance matrix estimate of the data subcarrier position is given ((i)) the weight of (y _p (l)f,

_Σβ ϋ = \ ·, W is the receiving end of, the interference suppression of guide area corresponding to the data stream received signal on pilot subcarriers, (widely (the conjugate transpose matrix of the same broadband The system for frequency interference noise estimation may further include a third device, wherein: the third device is configured to: divide the interference suppression region into one or more interference noise estimation units, each interference noise estimation unit is a time domain two a dimension resource block and including at least one pilot subcarrier and one data subcarrier; correspondingly, the first device calculates the interference noise covariance matrix estimation value of the data subcarrier position according to formula (a), and is the same interference noise The product of the received signal on each pilot subcarrier in the estimation unit and its conjugate transpose is given the same weight. The system for wideband co-channel interference noise estimation may further comprise a fourth device, wherein: the fourth device is set The interference suppression area is divided into interference noise estimation units, each interference noise estimation unit is a time domain two-dimensional resource block and includes at least one pilot. And a data subcarrier, which is a positive integer; correspondingly, for each data subcarrier corresponding to the data stream, the first device is set to be on each pilot subcarrier corresponding to the data stream according to the following formula A weighted average of the product of the received signal and the conjugate transpose of the received signal as an estimate of the interference noise covariance matrix for the data subcarrier position:

among them,

O The estimated value of the interference noise covariance matrix for each data subcarrier position corresponding to the data stream in the mth interference noise estimation unit, m = 1, 2, · · · , Μ; / is a cyclic variable, / = 1 , 2, · · ·, ; a set of indices Ζ· of pilot subcarriers corresponding to the data stream included in the first interference noise estimation unit, = 1,···, /, / is the pilot corresponding to the data stream in the interference suppression region The number of carriers;

^;) is the received signal of the receiving end on the first pilot subcarrier corresponding to the data stream; y _p (if is the conjugate transposed matrix of (); fi _ml is calculated - _D , the first / interference noise estimation unit corresponding to each pilot subcarrier corresponding to the data stream (the weight of the product of (,

, | | is the number of pilot subcarriers included, and is greater than or equal to other weights. For each data subcarrier corresponding to the data stream, the second device is configured to diagonally load the interference noise covariance matrix estimation value of the data subcarrier position as the data, as the data Interference noise covariance matrix for subcarrier position:

NI-D

Where R _W _ _D /) is the interference noise covariance matrix of the _th data subcarrier position corresponding to the data stream in the interference suppression region, · = 1,···, J is the interference suppression region The number of data subcarriers corresponding to the data stream; ≥ 0; is the estimated value of the interference noise covariance matrix of the _; data subcarrier positions corresponding to the data stream in the interference suppression region; β>0 Λ represents N xN _3⁄4 The diagonal matrix, _3⁄4, represents the number of receiving antennas at the receiving end. In the system for estimating the wideband co-channel interference noise, the interference noise covariance matrix of the first data subcarrier position calculated by the second device is: R _W _ _D 0) = R _M _ _D (j) + ; _{, 0≤ ≤1; tr (M -} D C / " represents a matrix _- β (·) track seeking; / interference area for the data stream corresponding to the number of pilot subcarriers is suppressed, 1 ^" ^ ^ _¾ of the matrix may be the same wideband frequency interference noise estimation system comprises fifth means: the fifth means is arranged to: obtain the data stream at the transmitting end corresponding to each pilot subcarrier position in the following manner The channel coefficient estimate is output to the first device: Multiplying the received signal on the pilot subcarrier with the conjugate of the pilot signal transmitted by the transmitting end on the pilot subcarrier to obtain an estimated channel coefficient of the pilot subcarrier position.

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)/Orthogonal Frequency Division Multiple Access (OFDMA) system, in an interference suppression region. Performing interference suppression on a data stream carried therein, the interference suppression area being a time-frequency two-dimensional resource block in the received data bearer area, the system comprising: a first subsystem, configured to: according to the above-mentioned broadband co-channel interference noise The estimated system obtains 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; the second subsystem is set to: the data stream Corresponding to each data subcarrier, a weighted average of channel coefficient estimates of respective pilot subcarrier positions corresponding to the data stream is used as an estimated channel coefficient of the data subcarrier position; and a third subsystem is set to : for each data subcarrier corresponding to the data stream, according to the received signal on the data subcarrier, and the channel of the data subcarrier position Estimated value covariance matrix and the interference noise, the data signal estimate is calculated on the data subcarriers. Further, the system for the broadband inter-frequency interference suppression may further include a fourth subsystem: the fourth subsystem is configured to: calculate, for each data subcarrier corresponding to the data stream, the third subsystem After estimating the data signal on the data carrier, the estimated data signal is demodulated, and the soft information corresponding to each bit of the signal obtained after demodulation is adjusted, and the soft information corresponding to each bit after adjustment is respectively

Where = · ι, ···, J, J is the number of data subcarriers corresponding to the data stream in the interference suppression region; F is the jth data carrier corresponding to the data stream in the interference suppression region The number of bits included in the data signal indicates the _/·th data carrier pair corresponding to the data stream in the interference suppression region

F ^F ( ')(R _W - _D ( '))— ( )) or signal to interference and noise ratio

h _d {j) is an estimated channel coefficient of the jth data subcarrier position corresponding to the data stream in the interference suppression region, /) is a conjugate transposed matrix of 4 (·;), R _M _ _D /; > is the interference noise covariance matrix of the first data subcarrier position, (R _M — _D ( )) ' ¹ is the inverse matrix of R _M _ _D (_/·); = 1, ···, /, / The number of pilot subcarriers corresponding to the data stream in the interference suppression region; ft ή is the channel coefficient estimation value of the first pilot subcarrier position corresponding to the data stream in the interference suppression region, and is a conjugate rotation The matrix, _M _ _P W is the interference noise covariance matrix of the first pilot subcarrier position, where ¹ is the inverse matrix of ^; () is the number corresponding to the data stream in the interference suppression region of the receiving end, The received signal on the pilot subcarrier is the transmit signal on the first pilot subcarrier corresponding to the data stream in the interference suppression region. The system for wideband co-channel interference suppression may further include a fifth subsystem and a sixth subsystem: the fifth subsystem is configured to: divide the interference suppression region into K channel estimation units, where each channel estimation unit is 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 sixth subsystem is set to: for each data subcarrier corresponding to the data stream, The weighting average of the channel coefficient estimation values of the respective pilot subcarrier positions corresponding to the data stream is used as a step of estimating the channel coefficient of the data subcarrier position as follows:

/=1 ieQf where,

/ is a loop variable, ! = 1,2,···,Κ

Ω, which is a set of indices of pilot subcarriers corresponding to the data stream in the interference suppression region included in the first channel estimation unit, = 1, . . . , /, / is corresponding to the data stream in the interference suppression region The number of pilot subcarriers; the channel of the first pilot subcarrier position corresponding to the data stream in the interference suppression region Coefficient estimated value; and a _kl is the ( ) given to the position of each pilot subcarrier in the channel estimation unit when calculating

Κ

Weight, ∑| ^Ω ” ^{= 1} , ^{0 ≤ ≤1} , | | indicates the number of pilot subcarriers included, and is in the right

1=1

In the value 03⁄4, l = \, 2, - - -, K, is greater than or equal to other weights ₍

The method of the present invention will be further described below with some application examples. In the following examples, the meaning of each parameter is the same as that of the above embodiment, and it is assumed that the receiving end has obtained the received signal on each data subcarrier. The example mainly shows 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 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 . When performing interference noise estimation, the estimated value of the interference noise covariance matrix of each data subcarrier position in the interference noise estimation unit is ^, with:

^ 20 _H

'=ι

Where A satisfies the condition A = 丄.

20

Application example two

The suppression region is divided into two interference noise estimation units, and the 20 pilot subcarriers included in the interference suppression region belong to two pilot index sets, wherein 1 to 8 belong to Ω, and 9 to 20 belong to Ω ₂ . When performing interference noise estimation: The estimated value of the interference noise covariance matrix of each data subcarrier position in the first interference noise estimation unit is ^, with:

% _H 20 _H

i=\ i=9 The estimated values of the interference noise covariance matrix for each data subcarrier position in the second interference noise estimation unit are:

Where k = i, 2 , | | represent the set of pilot indices

The number of pilot subcarriers included, β _α > ^~

1=1

Application example three

The suppression region is divided into two interference noise estimation units, and the 20 pilot subcarriers included in the interference suppression region belong to two pilot index sets, where: 1, 2, 5, 6, 9, 10, 13, 14 17, 18, 18 belong to Ω, and the rest of the pilot index belongs to Ω ₂ . When performing interference noise estimation: the interference noise covariance matrix of each pilot subcarrier position in the first interference noise estimation unit is ^, with:

The interference noise covariance matrix of each pilot subcarrier position in the second interference noise estimation unit is:

Then, the interference noise covariance matrix estimation of the jth data subcarrier position in the interference suppression region The value is:

It, 0 ≤ β _α ≤ 1, k = l, 2 , | | represents the pilot index set

The number of pilot subcarriers included, β > ^~ , η + η _2! = 1.

1=1

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 divided into one interference noise estimation unit, and the index of the 16 pilot subcarriers included in the interference suppression region belongs to one pilot index set, and all of 1 to 16 belong. When performing interference noise estimation, the estimated values of the interference noise covariance matrix of each data subcarrier position in the interference noise estimation unit are ^, with:

Where A satisfies the condition A = ^.

16

Application Example 5 As shown in FIG. 7, 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 divided into one interference noise estimation unit, and the index of the 12 pilot subcarriers included in the interference suppression region belongs to one pilot index set, and 1 to 12 belong to each other. When performing interference noise estimation, the estimated values of the interference noise covariance matrix of each data subcarrier position in the interference noise estimation unit are ^, with: — = ∑ (Φ ' where Α satisfies the condition = . The following uses the application examples 6 and 7 to illustrate the interference noise estimation method for carrying two data streams in an interference suppression region.

The channel coefficient estimate on the first pilot subcarrier corresponding to the first data stream is fi _p ( ); the channel coefficient estimate on the first pilot subcarrier corresponding to the second data stream is fi _p2 ^>; The pilot signal sent by the transmitting end 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 is ρ^ή receiving The received signal received by the terminal on the first pilot subcarrier corresponding to the first data stream and the received signal received by the receiving end on the first pilot subcarrier corresponding to the second data stream are ₂ ( ). Application Example 6 As shown in FIG. 8, 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 Carry two data streams. In this example, the interference suppression region is divided into an interference noise estimation unit, 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~ 10 belongs to Ω, and 11~20 belongs to ί3⁄4. When performing interference noise estimation: For the first data stream, the estimated value of the interference noise covariance matrix of each data subcarrier position in the interference noise estimation unit is ά ¹¹ , having:

For the second data stream, the estimated value of the interference noise covariance matrix of each data subcarrier position in the interference noise estimation unit is ά ¹² , having:

Where =A = . The above method for performing interference noise estimation for each data stream is the same. Of course, in another embodiment, the division of the interference noise estimation unit for different data streams may also be different. Application Example 7 As shown in FIG. 9, 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 Ω, that is, 1 ~4 belongs to Ω,. When performing interference noise estimation: For the first data stream, the estimated value of the interference noise covariance matrix of each data subcarrier position in the interference noise estimation unit is ά ¹¹ , with:

For the second data stream, the estimated values of the interference noise covariance matrix for each data subcarrier position within the interference noise estimation unit are ά ¹² , with:

Among them, A

The following application examples mainly illustrate the diagonal loading of the estimated interference noise estimation covariance matrix estimates above. It should be noted that the following describes a case where only one data stream is carried in one interference suppression area. For the case where multiple data streams are simultaneously carried, for each data stream, each method is performed by the same method as the following application example. The estimated values of the interference noise estimation covariance matrix corresponding to the data stream are respectively diagonally loaded. Application example eight

In this example, assume that the receiver's receive day N = 8 The first data subcarrier position's interference noise covariance matrix is estimated to be UJ, for any size of the stem

The interference suppression region, the interference noise covariance matrix estimated value of the _/· data subcarrier positions is obtained after the diagonal loading, and the interference noise covariance matrix R _M — _D /;) of the data subcarrier position is obtained,

Where / represents the number of pilot subcarriers that the current data stream contains in the interference suppression region. γ is a constant and satisfies the condition 0 ≤ ≤1. Application Example 9 In this example, it is assumed that the receiving end receives N = 8, and the estimated noise covariance matrix of the _/· data subcarrier positions is estimated to be _NI _. Ij) in the current interference suppression zone

In the domain, the interference noise covariance matrix estimated value of the _/· data subcarrier positions is subjected to diagonal loading to obtain the interference noise covariance matrix R _M _ _D C/;> of the data subcarrier position, and there are:

Where / represents the number of pilot subcarriers included in the interference suppression region of the current data stream, in the interference suppression region shown in Figure 3, / = 20; in the interference suppression region shown in Figure 6, / = 16 . γ is a constant satisfying the condition 0 ≤ ^ ≤ 1, and its value is related to f, for example, when ^: ≤ 12, = 0.01; when f > 12, =0. The following application examples mainly describe the soft information adjustment steps performed by the receiving end after demodulation. Application Example 10 After the receiving end demodulates the transmitted signal on each data subcarrier, it is assumed that the transmitting end transmits F soft information in the signal transmitted on the first data subcarrier, respectively, A, ... J _F , the soft information can be adjusted by using the channel gain, and the soft information metric corresponding to each bit after adjustment is Gm " , wherein G (_7) is calculated as C /) (R _M - (_ /)) - Of course, the soft information is adjusted, namely:

The following application examples primarily illustrate broadband inter-frequency interference noise estimation and interference suppression using the 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 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 divided in the same manner, that is, included in each channel estimation unit. The subcarriers are identical to the subcarriers included in each 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, W = ^ »;) Representing the conjugate of the pilot signal transmitted by the transmitting end on the pilot subcarrier I; then, dividing the interference suppression area of the pattern one into one, as shown in FIG. 3, each one is a channel estimating unit, which is also a The interference noise estimation unit, the 20 pilot subcarriers included in the interference suppression region belong to one pilot index set, that is, 1 to 20 belong to when performing channel estimation:

The channel coefficient estimates for all data subcarrier locations within the channel estimation unit are:

When performing interference noise estimation: the estimated value of the interference noise covariance matrix of all data subcarrier positions in the interference noise estimation unit is ^, with:

1 20 _H

^R L=^∑^ (0(^(0) Completion of channel estimation and interference noise covariance matrix estimation corresponding to data subcarrier DsC(/)

_D;> After estimation, then complete the loading of interference noise covariance diagonal covariance matrix estimates to obtain the interference noise covariance matrix _{_{R M _ D C /;>}} , are:

Then the receiver performs data detection, which has:

Where 4() is the column vector; when 4(·) is the row vector, the corresponding data detection formula is:

Where co«» denotes the conjugate of each element of the input vector or scalar. Then perform soft information adjustment (this step is optional, ie can be ignored)

After the detected data is sent to the demodulator to complete the demodulation, the soft information corresponding to each bit included in each data symbol s is obtained: , optionally, the soft information is adjusted accordingly, and the adjusted The soft information metrics corresponding to the bits are (?^/;^,... ^/;)^. among them,

Of course, the above soft information adjustment process can also be neglected, that is, the information after demodulation is directly sent. Go to the decoding module to complete the entire data receiving process.

One of ordinary skill in the art will appreciate that all or a portion of the above steps may be accomplished by a program instructing 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 embodiments may also be implemented using one or more integrated circuits. Correspondingly, each module/unit in the above embodiment may be implemented in the form of hardware or in the form of a software function module. The invention is not limited to any specific form of combination of hardware and software.

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 applied to 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 the data stream is carried in the interference noise estimation, the method includes: ???the conjugate of the received signal on each pilot subcarrier corresponding to the data stream and the received signal for each data subcarrier corresponding to the data stream a weighted average of the product of the transposition, as an estimate of the interference noise covariance matrix for the data subcarrier position; and for each data subcarrier corresponding to the data stream, an interference noise covariance matrix estimate for the data subcarrier position The value obtained after the diagonal loading 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: the data conjugate corresponding to the data stream, the conjugate of the received signal on each pilot subcarrier corresponding to the data stream and the received signal The weighted average of the products, as the interference noise covariance matrix estimate for the data subcarrier position, uses equation (a) to calculate the interference noise covariance matrix estimate for the data subcarrier position:

_Σβ ϋ = \; received subcarrier signal W is at the receiving end of the interference suppression area, the data stream corresponding to a first, pilot, and (for the (conjugate transpose matrix.

3. The method of claim 2, before calculating the interference noise covariance matrix estimate of the data subcarrier position according to equation (a), the method further comprising: dividing the interference suppression region into one or more An interference noise estimating unit, each of the interference noise estimating units is a time domain two-dimensional resource block and includes at least one pilot subcarrier and one data subcarrier; and calculating an interference noise covariance matrix of the data subcarrier position according to formula (a) When estimating the value, the same weight is given to the product of the received signal on each pilot subcarrier in the same interference noise estimation unit and its conjugate transposed.

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 are positive integers; each data corresponding to the data stream Subcarrier, the weighted average of the product of the received signal on each pilot subcarrier corresponding to the data stream and the conjugate transposed of the received signal as a step of estimating the interference noise covariance matrix of the data subcarrier position , (b) Calculate the estimated value of the interference noise covariance matrix of the data subcarrier position:

R

among them,

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

a set of indices ζ· of the pilot subcarriers corresponding to the data stream included in the first interference noise estimation unit, = 1, · · ·, /, / is the pilot corresponding to the data stream in the interference suppression region The number of carriers; a receiving signal on the first pilot subcarrier corresponding to the data stream at the receiving end; (a conjugate transposed matrix of wide (); and fi _ml being a calculation - _D , giving the first/interference noise Estimating the corresponding pilot subcarrier corresponding to the data stream in the unit (the weight of the product of (, | | is

The number of pilot subcarriers included.

The method according to claim 4, wherein the weight An/ in the calculation of ^ _{-D is} calculated according to the formula (b),

/ = 1,2,···,Μ , greater than or equal to other weights.

6. The method according to claim 2, wherein: the data interference obtained by diagonally loading the estimated value of the interference noise covariance matrix of the data subcarrier position for each data subcarrier corresponding to the data stream In the step of the interference noise covariance matrix of the data subcarrier position, the interference noise covariance matrix of the data subcarrier position is calculated by using equation (c):

R _M _ _D (j) = aR _M _ _D (j) + (c) where R _W _ _D /) is 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 number of data subcarriers corresponding to the data stream in the interference suppression region; ≥ 0; is the _th data subcarrier position corresponding to the data stream in the interference suppression region Interference noise covariance matrix estimate; β>0 Λ denotes a diagonal matrix of N xN _3⁄4 , and _3⁄4 denotes the number of receive antennas at the receiving end.

7. The method of claim 6, wherein: the interference noise covariance matrix of the jth data subcarrier position is:

Where 0 ≤ ≤1; tr( _M — _D (_/′ represents the trace of the matrix; / is the number of pilot subcarriers corresponding to the data stream in the interference suppression region, 1 is ^„^^ _3⁄4 Unit matrix.

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: estimating, by using the interference noise estimation method according to claim 8, the channel coefficient estimation value of each pilot subcarrier position corresponding to the data stream, and each data sub An interference noise covariance matrix of a carrier position; a weighted average of channel coefficient estimates of respective pilot subcarrier positions corresponding to the data stream for each data subcarrier corresponding to the data stream, as a channel of the data subcarrier position An estimated value of the coefficient; and each data subcarrier corresponding to the data stream, the data is calculated 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. The data signal estimation on the carrier; 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, the method further comprising: performing, after calculating the data signal estimation on the data carrier for each data subcarrier corresponding to the data stream, performing the estimated data signal Demodulate, and demodulate the soft information corresponding to each bit of the signal L[,...'! _F is adjusted, and the soft information corresponding to each bit after adjustment is

Wherein, ' = l, · · · , J , J are the number of data subcarriers corresponding to the data stream in the interference suppression region; F is the data on the Jth data carrier corresponding to the data stream in the interference suppression region The number of bits included in the signal indicates the _/·th data carrier pair corresponding to the data stream in the interference suppression region Shoulder channel gain 4 ( ) (R _W — ( ) or signal to interference and noise ratio

h _d {j) is an estimated channel coefficient of the jth data subcarrier position corresponding to the data stream in the interference suppression region, /) is a conjugate transposed matrix of 4 (·;), R _M _ _D /; > is the interference noise covariance matrix of the first data subcarrier position, (R _w — _D (_/)) — ¹ is the inverse matrix of R _M —; 1, 1, ···, /, / is the interference suppression The number of pilot subcarriers corresponding to the data stream in the region; ft ή is the channel coefficient estimation value of the first pilot subcarrier position corresponding to the data stream in the interference suppression region, and is a conjugate transposed matrix, _M _ _P W is the interference noise covariance matrix of the first pilot subcarrier position, where ¹ is the inverse matrix of ^; () is the first pilot of the data stream corresponding to the receiving end in the interference suppression region a received signal on the carrier, and a transmit signal on the first pilot subcarrier corresponding to the data stream in the interference suppression region by the transmitting end.

The method according to claim 9 or 10, wherein: in the interference suppression area, when the interference suppression is performed on a data stream carried by the method, the interference suppression area is further divided into f channels. An estimation 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; and each data subcarrier corresponding to the data stream is The weighted average of the channel coefficient estimation values of the respective pilot subcarrier positions corresponding to the data stream is used as the step of estimating the channel coefficient of the data subcarrier position, and the calculation formula is as follows:

among them,

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

/ is a loop variable, ! = 1,2,···, K

Ω, which is a set of indices of pilot subcarriers corresponding to the data stream in the interference suppression region included in the first channel estimation unit, = ι,···, /, / is corresponding to the data stream in the interference suppression region The number of pilot subcarriers; the estimated channel coefficient of the first pilot subcarrier position corresponding to the data stream in the interference suppression region;

Κ

1=1

The value "w, l = \, 2, K, is greater than or equal to other weights.

12. A system for wideband co-channel interference noise estimation applied to 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 performs 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 data subcarrier corresponding to the data stream, a weighted average of a product of a received signal on each pilot subcarrier corresponding to the data stream and a conjugate transpose of the received signal as an estimated value of an interference noise covariance matrix of the data subcarrier position; and a second device And being configured to: perform, after each of the data subcarriers corresponding to the data stream, a result obtained by diagonally loading an interference noise covariance matrix estimation value of the data subcarrier position obtained by the first device, as the data sub Interference noise covariance matrix for carrier position.

13. The system of claim 12, wherein: said first device is configured to calculate an interference noise covariance moment of said data subcarrier position using equation (a):

Wherein, the estimated value of the interference noise covariance matrix of the data subcarrier position corresponding to the data stream in the interference suppression region, · = 1, · · · , J is the corresponding data stream in the interference suppression region The number of data subcarriers; = 1, · · ·, /, / is the number of pilot subcarriers corresponding to the data stream in the interference suppression region; ^ is to calculate the _ corresponding to the data stream in the interference suppression region; when a given interference noise covariance matrix estimation value of the data sub-carrier position ((I)) weight (y _p (i) f _the, Σβ ϋ = \; W to the receiving end in the area of the interference suppression The received signal on the first pilot subcarrier corresponding to the data stream, (if is the conjugate transposed matrix of .

14. The system of claim 13, the system further comprising a third device, wherein: the third device is configured to: divide the interference suppression region into one or more interference noise estimation units, each interference noise The estimating unit is a time domain two-dimensional resource block and includes at least one pilot subcarrier and one data subcarrier; when the first device calculates the interference noise covariance matrix estimation value of the data subcarrier position according to formula (a), The same weight is assigned to the product of the received signal on each pilot subcarrier in the same interference noise estimation unit and its conjugate transpose.

The system of claim 12, the system further comprising a fourth device, wherein: the fourth device is 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 including at least one pilot subcarrier and one data subcarrier, which are positive integers; for each data subcarrier corresponding to the data stream, the first device is set to be according to the following formula A weighted average of the product of the received signal on each pilot subcarrier corresponding to the data stream and the conjugate transposed of the received signal as the estimated value of the interference noise covariance matrix of the data subcarrier position:

among them,

Each data subcarrier bit corresponding to the data stream in the U m interference noise estimation units The estimated value of the interference noise covariance matrix, m = 1, 2, · · · , Μ; / is a cyclic variable, / = 1, 2, ···, Μ;

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

^;) is the received signal of the receiving end on the first pilot subcarrier corresponding to the data stream; y _p (if is the conjugate transposed matrix of (); fi _ml is calculated - _D , the first Corresponding to each pilot subcarrier corresponding to the data stream in the interference noise estimation unit (with the weight of the product of (, | |

The number of pilot subcarriers included is greater than or equal to other weights.

16. The system of claim 13, wherein: for each data subcarrier corresponding to the data stream, the second device is configured to estimate an interference noise covariance matrix for the data subcarrier position according to the following formula The value obtained after diagonal loading is used as the interference noise covariance matrix of the data subcarrier position:

R _N1 _ _D (j) = aR NI-D

Where R _W _ _D /) is the interference noise covariance matrix of the _th data subcarrier position corresponding to the data stream in the interference suppression region, · = 1,···, J is the interference suppression region The number of data subcarriers corresponding to the data stream; ≥ 0; is the estimated value of the interference noise covariance matrix of the _; data subcarrier positions corresponding to the data stream in the interference suppression region; β>0 Λ represents N xN _3⁄4 The diagonal matrix, _3⁄4, represents the number of receiving antennas at the receiving end.

17. The system of claim 16, wherein: the interference noise covariance matrix of the first data subcarrier position calculated by the second device is:

Where 0 ≤ ≤1; tr( _M — _D (_/′ represents the trace of the matrix; / is the interference suppression zone The number of pilot subcarriers corresponding to the data stream in the domain, where 1 is the identity matrix of ^^^.

The system according to any one of claims 12 to 17, the system further comprising a fifth device, wherein: the fifth device is configured to obtain, according to the following manner, each of the transmitting ends corresponding to the data stream Estimating the channel coefficient of the frequency subcarrier position and outputting to the first device: multiplying the received signal on the pilot subcarrier by a conjugate of the pilot signal transmitted by the transmitting end on the pilot subcarrier, The estimated channel coefficient of the pilot subcarrier position.

19. 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 Interference suppression is performed on a data stream, the interference suppression area is a time-frequency two-dimensional resource block in the received data bearer area, and the system includes: a first subsystem configured to: the broadband co-channel interference noise according to claim 18. The estimated system obtains 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; the second subsystem is set to: the data stream Corresponding to each data subcarrier, a weighted average of channel coefficient estimates of respective pilot subcarrier positions corresponding to the data stream is used as an estimated channel coefficient of the data subcarrier position; and a third subsystem is set 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.

20. The system of claim 19, the system further comprising a fourth subsystem, wherein: the fourth subsystem is configured to: each of the data subcarriers corresponding to the data stream, in the third sub After the system calculates the data signal on the data carrier, the estimated data signal is demodulated, and the soft information corresponding to each bit of the signal obtained after the demodulation is adjusted, and the soft information corresponding to each bit is adjusted. Separately

; Wherein, ' = l, ···, J, J is the number of data subcarriers corresponding to the data stream in the interference suppression region;

( ) (R _W — (7) or signal to interference and noise ratio

h _d {j) is an estimated channel coefficient of the jth data subcarrier position corresponding to the data stream in the interference suppression region, /) is a conjugate transposed matrix of 4 (·;), R _M _ _D /; > is the interference noise covariance matrix of the first data subcarrier position, (R _M — _D ( )) ' ¹ is the inverse matrix of R _M _ _D (_/·); = 1, ···, /, / The number of pilot subcarriers corresponding to the data stream in the interference suppression region; ft ή is the channel coefficient estimation value of the first pilot subcarrier position corresponding to the data stream in the interference suppression region, and is a conjugate rotation The matrix, _M _ _P W is the interference noise covariance matrix of the first pilot subcarrier position, where ¹ is the inverse matrix of ^; () is the number corresponding to the data stream in the interference suppression region of the receiving end, The received signal on the pilot subcarrier is the transmit signal on the first pilot subcarrier corresponding to the data stream in the interference suppression region.

21. The system of claim 19 or 20, the system further comprising a fifth subsystem and a sixth subsystem, wherein: the fifth subsystem is configured to: divide the interference suppression region into K channel estimates 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; the sixth subsystem is set to: corresponding to the data stream For 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 by using the following formula:

/=1 ie^ 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

Ω, which is a set of indices of pilot subcarriers corresponding to the data stream in the interference suppression region included in the first channel estimation unit, = ι,···, /, / is corresponding to the data stream in the interference suppression region Number of pilot subcarriers;

An estimated channel coefficient of the first pilot subcarrier position corresponding to the data stream in the interference suppression region;

Κ

Weight, ∑| ^Ω ′′ ^{= 1} , ^{0 ≤ ≤ 1} , | | indicates the number of pilot subcarriers included, and is in the right

1=1

In value 03⁄4, ί = 1,2,···,Κ , is greater than or equal to other weights.