CN104052706A - Apparatus for determining noise and interference space covariance matrix, and interference rejection combining apparatus - Google Patents

Abstract

The present invention provides a kind of device of determining noise-plus-interference space covariance matrix, AF panel merges device and receiver. The device of the determination noise-plus-interference space covariance matrix includes: signal receiving unit, for receiving signal; First computing unit, signal calculates interference plus noise signals N(ni, j, ki, j on the resource element that each region frequency pilot sign occupies based on the received); The N(ni, j, ki, j in the first estimation unit, the quantity of the resource element for being occupied according to the frequency pilot sign in each region and each region) estimate the initial noise-plus-interference space covariance matrix in each region Eigenvalues Decomposition unit is used for each region Carry out Eigenvalues Decomposition; Power calculation unit, according to the characteristic value in each region come estimating noise power; Second computing unit determines the quantity for the interference signal for needing to inhibit in each region according to noise power and regulation coefficient; Second estimation unit is for quantity, the noise power pair according to interference signal It is adjusted, to obtain the noise-plus-interference space covariance matrix in each region.

Description

Noise-plus-interference space covariance matrix determining device, interference suppress to merge device

Technical field

The present invention relates to the communication technology, particularly a kind of device of definite noise-plus-interference space covariance matrix, interference suppress to merge device and receiver.

Background technology

At present, the demand of the subscriber equipment of the more high speed data transfers of ever-increasing support causes in intensive network design frequency reuse, and like this, cochannel disturbs becomes main Limiting-Performance Factors, and must consider this factor in Receiver Design.In the last few years, OFDM (OFDM, Orthogonal Frequency Division Multiplexing) technology came into one's own, and was welcome modulation system for wireless communication system always, as IEEE802.16 and 3GPP LTE/LTE-A.

At present, cochannel disturbs and can be processed based on disturbing inhibition to merge (IRC, Interference Rejection Combining) technology by receiver.In the time disturbing inhibition to merge, need to know and disturb and noise covariance matrix (IN-SCM), this IN-SCM is estimated by frequency pilot sign (Pilot Symbol) or training sequence conventionally.Conventionally, the quantity that increases frequency pilot sign or training sequence can improve the accuracy that IN-SCM estimates by larger signal overhead, reduces frequency pilot sign or training sequence and can reduce the quality that IN-SCM estimates.Only having under the scene of thermal noise impact, IN-SCM estimates that the inaccurate impact bringing is obvious especially.

Should be noted that above the introduction of technical background is just carried out to clear, complete explanation for convenient to technical scheme of the present invention, and facilitate those skilled in the art's understanding to set forth.Can not only carry out setting forth and thinking that technique scheme is conventionally known to one of skill in the art in background technology part of the present invention because of these schemes.

Summary of the invention

The embodiment of the present invention provides a kind of device, interference of definite noise-plus-interference space covariance matrix to suppress to merge device and receiver, and the performance that can obtain under different interference scenes, has solved problems of the prior art.

A kind of device of definite noise-plus-interference space covariance matrix is provided according to first aspect of the embodiment of the present invention, and this device comprises:

Signal receiving unit, the signal of this signal receiving unit for sending from several reception antenna receiver/transmitters of receiver;

The first computing unit, this first computing unit is for the interference plus noise signals on the resource element that calculates respectively each region frequency pilot sign according to the signal that receives and occupy; Wherein, this region refers to and on frequency domain, occupies N _rBindividual Resource Block occupies the time-frequency scope of n OFDM symbol in time domain; Wherein, N _rB, n is greater than zero integer;

The first estimation unit, this first estimation unit estimates for this interference plus noise signals that occupies the quantity of resource element and each region of calculating acquisition according to this frequency pilot sign in each region the noise-plus-interference space covariance matrix that each region is initial;

Eigenvalues Decomposition unit, this Eigenvalues Decomposition unit is for carrying out respectively Eigenvalues Decomposition to this initial noise-plus-interference space covariance matrix in each region, to obtain the characteristic value of initial noise-plus-interference space covariance matrix in each region, the quantity of this characteristic value is identical with the quantity of reception antenna;

Power calculation unit, this power calculation unit is for carrying out estimating noise power according to this characteristic value in each region;

The second computing unit, this second computing unit is for determining that according to this noise power and adjustment coefficient each region needs the quantity of the interference signal suppressing;

The second estimation unit, this second estimation unit is for adjusting this initial noise-plus-interference space covariance matrix according to the quantity of this interference signal, noise power, to obtain the noise-plus-interference space covariance matrix in each region.

Provide a kind of interference to suppress to merge device according to second of the embodiment of the present invention aspect, this device comprises:

Covariance matrix computing unit, this covariance matrix computing unit, for determining noise-plus-interference space covariance matrix, comprises the device described in first aspect of the embodiment of the present invention.

The 3rd computing unit, the 3rd computing unit is for calculating the balanced matrix of the resource element that in each region, frequency pilot sign and data symbol occupy according to channel estimate matrix and this noise-plus-interference space covariance matrix;

Signal estimation unit, this Signal estimation unit is for processing to the received signal according to this equilibrium matrix, to obtain estimated signal.

Provide a kind of receiver according to the 3rd of the embodiment of the present invention the aspect, this receiver comprises that the interference described in second aspect of the embodiment of the present invention suppresses to merge device.

The useful technique effect of the embodiment of the present invention is, by said apparatus, the performance that can obtain under different interference scenes, has solved problems of the prior art.

With reference to explanation and accompanying drawing hereinafter, specific implementations of the present invention is disclosed in detail, having indicated principle of the present invention can adopted mode.Should be appreciated that, embodiments of the present invention in scope not thereby be restricted.In the spirit of claims and the scope of clause, embodiments of the present invention comprise many changes, revise and are equal to.

Describe and/or the feature that illustrates can be used in same or similar mode in one or more other execution mode for a kind of execution mode, combined with the feature in other execution mode, or substitute the feature in other execution mode.

Should emphasize, term " comprises/comprises " existence that refers to feature, whole, step or assembly while use herein, but does not get rid of the existence of one or more further feature, whole, step or assembly or additional.

Brief description of the drawings

Fig. 1 is the formation schematic diagram of definite Noise and Interference space covariance matrix of the embodiment of the present invention 1;

Fig. 2 is the flow chart of definite noise-plus-interference space covariance matrix of the embodiment of the present invention 1;

Fig. 3 is the formation schematic diagram that the interference of the embodiment of the present invention 2 suppresses to merge device;

Fig. 4 is that the interference of the embodiment of the present invention 2 suppresses the flow chart merging;

Fig. 5 is the structural representation of the receiver as example of the embodiment of the present invention 5;

Fig. 6 adopts diverse ways to disturb the contrast schematic diagram suppressing.

Embodiment

Below in conjunction with accompanying drawing, various execution modes of the present invention are described.These execution modes are exemplary, are not limitations of the present invention.In order to enable those skilled in the art to easily to understand principle of the present invention and execution mode, embodiments of the present invention are to possess N _rindividual reception antenna quantity, N _tdefinite noise-plus-interference space covariance matrix of the MIMO-OFDM communication system of individual transmitting antenna, interference suppress to merge into example and describe.But it should be noted, embodiments of the present invention are applicable to all communication systems of determining noise-plus-interference space covariance matrix, disturbing inhibition merging that relate to.

The embodiment of the present invention provides a kind of device, interference of definite noise-plus-interference space covariance matrix to suppress to merge device and receiver.

Embodiment 1

Fig. 1 is that the device of definite noise-plus-interference space covariance matrix (IN-SCM) of the embodiment of the present invention 1 forms schematic diagram.As shown in Figure 1, device 100 comprises: signal receiving unit 101, the first computing unit 102, the first estimation unit 103, Eigenvalues Decomposition unit 104, power calculation unit 105, the second computing unit 106 and the second estimation unit 107; Wherein,

Signal receiving unit 101, for the several (N from receiver _r) reception antenna receiver/transmitter send signal;

The first computing unit 102, for calculating respectively the interference plus noise signals on the resource element that frequency pilot sign in each region (RS) occupies according to the signal that receives; Wherein, this region refers to the N occupying on frequency domain _rBindividual Resource Block (RB) occupies the time-frequency scope of n OFDM (OFDM) symbol in time domain; N _rB, n is greater than zero integer;

The first estimation unit 103, estimates for the interference plus noise signals that occupies the quantity of resource element according to the frequency pilot sign in each region (RS) and calculate on the resource element that occupies of each region frequency pilot sign (RS) obtaining the noise-plus-interference space covariance matrix that each region is initial;

Eigenvalues Decomposition unit 104, for this initial noise-plus-interference space covariance matrix in each region is carried out respectively to Eigenvalues Decomposition, to obtain the characteristic value of this initial noise-plus-interference space covariance matrix in each region, the quantity of this characteristic value is identical with the quantity of reception antenna;

Power calculation unit 105, carrys out estimating noise power for this characteristic value according to each region;

The second computing unit 106, for determining that according to this noise power and adjustment coefficient each region needs the quantity of the interference signal suppressing;

The second estimation unit 107, for according to the quantity of this interference signal, noise power, this initial noise-plus-interference space covariance matrix being adjusted, to obtain the noise-plus-interference space covariance matrix in each region.

From above-described embodiment, determine the noise-plus-interference space covariance matrix in each region by said apparatus, the performance that can obtain under different interference scenes, has solved problems of the prior art.

In the present embodiment, to possess N _rindividual reception antenna quantity, N _tthe MIMO-OFDM communication system of individual transmitting antenna is that example describes.

For MINO-OFDM system, on k subcarrier of n OFDM symbol, the received signal vector that signal receiving unit 101 receives can be expressed as:

Y(n,k)=H(n,k)S(n,k)+N(n,k)； （1）

In formula (1), Y (n, k) represents received signal vector; H (n, k) represents N _r× N _tchannel matrix; S (n, k) represents N _t× 1 vector that transmits; N (n, k) represents interference plus noise vector; N _rrepresent the reception antenna quantity of receiver; N _trepresent the number of transmission antennas of transmitter.

In the present embodiment, the interference plus noise signals N(n on the resource element that in each region that the first computing unit 102 calculates, frequency pilot sign (RS) occupies _i,j, k _i,j) can be:

$N(n_{i,j},k_{i,j})=Y(n_{i,j},k_{i,j})-\tilde{H}(n_{i,j},k_{i,j})S_{\mathrm{RS}}(n_{i,j},k_{i,j});---\left(2\right)$

In formula (2), Y (n _i,j, k _i,j) represent on resource element that frequency pilot sign in each region (RS) occupies reception signal; represent the channel estimate matrix on resource element that frequency pilot sign in each region (RS) occupies, dimension is N _r× N _t; S _rS(n _i,j, k _i,j) represent the N on resource element that frequency pilot sign in each region (RS) occupies _t× 1 transmitting pilot signal vector; I represents i region, and j represents j frequency pilot sign; I, j are greater than zero integer.

The initial noise-plus-interference space covariance matrix in each region that in the present embodiment, the first estimation unit 103 is estimated for:

${\tilde{Q}}^{\left(i\right)}\frac{1}{N_{\mathrm{RS}}}\underset{j=1}{\overset{N_{\mathrm{RS}}}{\mathrm{\Σ}}}\left\{\left[N(n_{i,j},k_{i,j})\right]{\left[N(n_{i,j},k_{i,j})\right]}^H\right\}---\left(3\right)$

In formula (3), represent the initial noise-plus-interference space covariance matrix in i region; N _rSrepresent the quantity of the shared resource element of frequency pilot sign in region; N(n _i,j, k _i,j) represent the interference plus noise signals on the shared resource element of frequency pilot sign in each region; (n _i,j, k _i,j) be illustrated in the index that is occupied resource element in i region by frequency pilot sign, refer to n in i region _i,jindividual OFDM symbol and k _i,jindividual subcarrier.

Eigenvalues Decomposition unit 104, the initial noise-plus-interference space covariance matrix that the first estimation unit 103 is obtained carrying out the matrix that Eigenvalues Decomposition obtains is:

${\tilde{Q}}^{\left(i\right)}=U^{\left(i\right)}{\mathrm{\Δ}}^{\left(i\right)}{U}^{\left(i\right)H};---\left(4\right)$

Wherein, U ⁽ⁱ⁾n _r× N _rthe matrix of characteristic vector, be expressed as:

$U^{\left(i\right)}=\left[\begin{array}{cccc}{U}_1^{\left(i\right)}& U_2^{\left(i\right)}& ...& U_{N_R}^{\left(i\right)}\end{array}\right];---\left(5\right)$

In formula (5), n _r× 1 vector, represents U ⁽ⁱ⁾j row;

Δ ⁽ⁱ⁾n _r× N _rdiagonal matrix, and diagonal element is characteristic value, this diagonal matrix is:

In formula (6), the characteristic value in i region, according to descending,

Like this, Eigenvalues Decomposition unit 104 passes through initial noise-plus-interference space covariance matrix carry out Eigenvalues Decomposition, thereby can obtain the N of the initial noise-plus-interference space covariance matrix in i region _rindividual characteristic value.

In the present embodiment, the noise power that power calculation unit 105 is estimated is:

${\mathrm{\σ}}^2=\frac{1}{N_{\mathrm{region}}{N}_{\mathrm{\λ}}}\underset{i=1}{\overset{N_{\mathrm{region}}}{\mathrm{\Σ}}}\underset{j=N_R-N_{\mathrm{\λ}}+1}{\overset{N_R}{\mathrm{\Σ}}}{w}_j^{\left(i\right)}{\mathrm{\λ}}_j^{\left(i\right)};---\left(7\right)$

In formula (7), σ ²represent the noise power of estimating; N _regionfor the quantity in the region in whole bandwidth or by the quantity in the region in distribution bandwidth; N _λthe quantity of characteristic value used while being illustrated in a region for noise power estimation; represent the filter factor of j the characteristic value in corresponding i region.

From formula (7), when time, the noise power that power calculation unit 105 is estimated is:

${\mathrm{\σ}}^2=\frac{1}{N_{\mathrm{region}}{N}_{\mathrm{\λ}}}\underset{i=1}{\overset{N_{\mathrm{region}}}{\mathrm{\Σ}}}\underset{j=N_R-N_{\mathrm{\λ}}+1}{\overset{N_R}{\mathrm{\Σ}}}{\mathrm{\λ}}_j^{\left(i\right)}.---(7-1)$

For example, in the present embodiment, in the time carrying out the estimation of noise-plus-interference space covariance matrix based on public reference signal (CRS, Cell-specific Reference Signals), N _regionrepresent the quantity in the region in whole bandwidth; In the time carrying out the estimation of noise-plus-interference space covariance matrix based on demodulated reference signal (DMRS, Demodulation Reference Signals), N _regionrepresent the quantity in the region of distribute in bandwidth.

For example, in order to ensure the accuracy of this noise power estimation, can make N _λvalue be:

Or, at serious interference and interference source many in the situation that, N _λ=1 and in this case, noise power is: ${\mathrm{\σ}}^2=\frac{1}{N_{\mathrm{region}}}\underset{i=1}{\overset{N_{\mathrm{region}}}{\mathrm{\Σ}}}{\mathrm{\λ}}_{N_R}^{\left(i\right)}.---\left(8\right)$

Consider that larger characteristic value can contain interference components, and the value of the possibility that less characteristic value contains interference components and interference components is less, thereby the noise power obtaining with its estimation is more accurate, in the present embodiment, in the time that the quantity of characteristic value is got 1, the minimum value in desirable this region of the value of this characteristic value in all characteristic values

But being not limited to this, can value be also than minimum value large value.

The quantity of the interference signal in each region that in the present embodiment, the second computing unit 106 is determined is:

$m^{\left(i\right)}=\underset{{\mathrm{\λ}}_j^{\left(i\right)}\≥\mathrm{\α}{\mathrm{\σ}}^2}{\max }\left\{j\right\};---\left(9\right)$

In formula (9), m ⁽ⁱ⁾represent the quantity of the interference signal in i region; α represents to adjust coefficient, is to be not less than 1 positive number; The value of this α is:

$\mathrm{\α}=\left\{\begin{array}{cc}2,& N_R=2\\ 4,& N_R=4\end{array}\right..---\left(10\right)$

The noise-plus-interference space covariance matrix in each region that in the present embodiment, the second estimation unit 107 is estimated is:

${\hat{Q}}_m^{\left(i\right)}=U_m^{\left(i\right)}({\mathrm{\Δ}}_m^{\left(i\right)}-{\mathrm{\σ}}^2{I}_{m^{\left(i\right)}})U_m^{\left(i\right)H}+{\mathrm{\σ}}^2{I}_{N_R};---\left(11\right)$

Wherein, represent the noise-plus-interference space covariance matrix in i region; for matrix U ⁽ⁱ⁾left part, dimension be N _r× m ⁽ⁱ⁾matrix; represent m ⁽ⁱ⁾× m ⁽ⁱ⁾diagonal matrix, the corresponding maximum m of the diagonal element of this diagonal matrix ⁽ⁱ⁾individual characteristic value (is N _rin individual characteristic value, get m ⁽ⁱ⁾individual larger value); I _nthe unit matrix that represents N × N, the value of N is N _rand m ⁽ⁱ⁾, for N _r× N _runit matrix, for m ⁽ⁱ⁾× m ⁽ⁱ⁾unit matrix.

In formula (11), $U_m^{\left(i\right)}=\left[\begin{array}{cccc}{U}_1^{\left(i\right)}& U_2^{\left(i\right)}& ...& U_{m^{\left(i\right)}}^{\left(i\right)}\end{array}\right]---\left(12\right)$

The workflow of the device below in conjunction with accompanying drawing to the embodiment of the present invention 1 describes.

Fig. 2 is the flow chart of definite noise-plus-interference space covariance matrix of the embodiment of the present invention 1.As shown in Figure 2, comprising:

Step S201, signal receiving unit 101 is from several (N of receiver _r) reception antenna receiver/transmitter send signal;

In the present embodiment, received signal vector as the formula (1), repeats no more herein.

Step S202, the first computing unit 102 calculates respectively the interference plus noise signals N(n on the resource element that frequency pilot sign in each region (RS) occupies according to the signal receiving _i,j, k _i,j);

Wherein, this region (region) refers to the N occupying on frequency domain _rBindividual Resource Block (RB) occupies the time-frequency scope of n OFDM (OFDM) symbol in time domain; N _rB, n is greater than zero integer;

In the present embodiment, the interference plus noise signals N(n in each region _i,j, k _i,j) as the formula (2), repeat no more herein.

Step S203, the first estimation unit 103 occupies the quantity of resource element according to the frequency pilot sign in each region (RS) and calculates the interference plus noise signals that each region frequency pilot sign (RS) of obtaining occupies resource element and estimate the noise-plus-interference space covariance matrix that each region is initial

In the present embodiment, this initial noise-plus-interference space covariance matrix as described in formula (3), repeat no more herein.

Step S204, Eigenvalues Decomposition unit 104 carries out respectively Eigenvalues Decomposition to this initial noise-plus-interference space covariance matrix in each region, to obtain the characteristic value of this initial noise-plus-interference space covariance matrix of each region the quantity of this characteristic value is identical with the quantity of reception antenna;

In the present embodiment, this initial noise-plus-interference space covariance matrix in each region is carried out respectively to matrix that Eigenvalues Decomposition obtains as shown in formula (4) to (6); The N obtaining _rindividual characteristic value as shown in Equation (6), repeats no more herein.

Step S205, power calculation unit 105 is carried out estimating noise power σ according to this characteristic value in each region ²;

In the present embodiment, the noise power of estimation can be passed through the acquisitions such as formula (7) or (8), repeats no more herein.

Step S206, the second computing unit 106 determines according to this noise power and adjustment coefficient the quantity that needs the interference signal suppressing in each region;

In the present embodiment, in each region, need the quantity of the interference signal suppressing to be obtained by formula (9) and (10), repeat no more herein.

Step 207, the second estimation unit 107 is adjusted this initial noise-plus-interference space covariance matrix according to the quantity of this interference signal, noise power, to obtain the noise-plus-interference space covariance matrix in each region;

In the present embodiment, the noise-plus-interference space covariance matrix in the second estimation unit 107 final each regions that obtain can obtain through type (11)-(12), repeats no more herein.

In the prior art, only carry out estimating noise by formula (3) and add interference space covariance matrix, the estimation of this noise-plus-interference space covariance matrix is mutually inaccurate, for some scene, as only there being the scene of thermal noise, make the estimation of noise-plus-interference space covariance matrix inaccurate bring affect especially severe.

From above-described embodiment, the preliminary noise-plus-interference space covariance matrix of being estimated by formula (3) is processed, under any scene, all can obtain noise-plus-interference space covariance matrix accurately.

Embodiment 2

Fig. 3 is that the interference of the embodiment of the present invention 2 suppresses to merge device formation schematic diagram.As shown in Figure 3, device 200 comprises: covariance matrix computing unit 301, the 3rd computing unit 302 and Signal estimation unit 303; Wherein,

Covariance matrix computing unit 301 is for determining noise-plus-interference space covariance matrix, and its formation can be the device described in above-described embodiment; The 3rd computing unit 302 is for calculating the balanced matrix of (comprising the resource element that resource element that frequency pilot sign occupies and data symbol occupy) of each resource element in each region according to the channel matrix of estimating and the definite noise-plus-interference space covariance matrix of covariance matrix computing unit 301; Signal estimation unit 303 is for processing to the received signal according to the balanced matrix of the 3rd computing unit 302, to obtain estimated signal.

In the present embodiment, the definite noise-plus-interference space covariance matrix of covariance matrix computing unit 301, as shown in the formula of embodiment (11)-(13), repeats no more herein.

In the present embodiment, for example, the determined balanced matrix of the 3rd computing unit 302 is that the interference based on least mean-square error suppresses balanced (MMSE-IRC) matrix.

In the present embodiment, balanced matrix weight can be expressed as:

$W(n,k)=\tilde{H}(n,k){(\tilde{H}(n,k)\tilde{H}{(n,k)}^H+Q_m^{\left(i\right)})}^{-1};---\left(14\right)$

In the present embodiment, the estimated signal of disturbing inhibition merge cells 303 to obtain is:

$\tilde{S}(n,k)=W(n,k)Y(n,k).---\left(15\right)$

The workflow that the interference of the embodiment of the present invention 2 is suppressed to merging device below in conjunction with accompanying drawing 4 describes.

Fig. 4 is that the interference of the embodiment of the present invention 2 suppresses to merge flow chart.As shown in Figure 4, comprising:

Step S401, covariance matrix computing unit 301 is determined noise-plus-interference space covariance matrix;

Wherein, can obtain this noise-plus-interference space covariance matrix by the device of embodiment 1

Step S402, the 3rd computing unit 302 calculates the balanced matrix of (comprising the resource element that resource element that frequency pilot sign occupies and data symbol occupy) of each resource element in each region according to channel matrix, the definite noise-plus-interference space covariance matrix estimated, as the interference based on least mean-square error suppresses balanced (MMSE-IRC);

In the present embodiment, can calculate by formula (14), repeat no more herein.

Step S403, Signal estimation unit 303 is processed to the received signal according to this equilibrium matrix, to obtain estimated signal;

In the present embodiment, can obtain this estimated signal by through type (15)

From above-described embodiment, owing to can obtaining noise-plus-interference space covariance matrix accurately, therefore can cochannel be disturbed and effectively be suppressed.

Embodiment 3

The embodiment of the present invention 3 also provides a kind of receiver, and this receiver comprises that the interference described in embodiment 2 suppresses to merge device.

Fig. 5 is the schematic diagram as the mobile terminal using according to the receiver of embodiments of the invention 3.As shown in Figure 5, this terminal equipment comprises that interference suppresses merge cells, and it forms as described in Example 2.

For example, this terminal equipment is mobile phone, and this figure is only exemplary; Mobile phone 500 can also have the circuit block of other types, supplements or replaces this function circuit, to realize communication function or other functions.Particularly, this mobile phone 500 comprises main control circuit 501, transceiver 502, input unit 503, audio treatment unit 504, memory 505, display 506 and disturbs and suppress merge cells 507; Wherein, main control circuit 501 receives the operation of all parts of inputting and control mobile phone 500.

The same with routine, input unit 503 provides multiple user's input operation.For example, input unit 503 generally comprises alphanumeric key, and it is for allowing input alphabet digital information, as telephone number, phone list, associated person information, remarks etc.Alternatively or alternatively, input unit 503 can be touch-screen.The function of key or similar key can also be embodied as the touch-screen relevant to display 507.

Display 507 shows information such as operating state, time, telephone number, associated person information, various navigation menus to user, makes user can use the various functions of mobile phone 500.

Mobile phone 500 comprises the antenna 511 that is couple to transceiver 502.Transceiver 502 comprises for passing through radiofrequency launcher and the receiver of antenna 511 sending and receiving signals.

In addition, transceiver 502 is also coupled to loud speaker 504-2 and microphone 504-1 via audio treatment unit 504, so that audio frequency output to be provided via loud speaker 504-2, and receives the audio frequency input from microphone 504-1.Audio treatment unit 504 can comprise any suitable buffer, decoder, amplifier etc.In addition, audio treatment unit 504 is also coupled to main control circuit 501, thereby makes on this mobile phone 1, to record by microphone 504-1, and makes to come by loud speaker 504-2 the audio signal of storage in playout storage 505.

Memory 505 can be for example one or more of in buffer, flash memory, hard disk driver, removable medium, volatile memory, nonvolatile memory or other appropriate device.

Disturb inhibition merge cells 507 to process to received signal, to obtain estimated signal, specifically as described in Example 2, repeat no more herein.

Each parts of mobile phone 500 can be realized by specialized hardware, firmware, software or its combination, and do not depart from scope of the present invention.

Describe below in conjunction with example.

Describe as an example of LTE FDD system, 2 communities example, Serving cell ID is 0, and interfered cell ID is 1; 4x4MIMO and MCS#10, the transmission mode of Serving cell and interfered cell is TM6.Typical urban (ETU, the Extended Typical Urban) channel model that uses the expansion that maximum doppler frequency is 5HZ, bandwidth is that 10MHz and whole 50 PRBs are configured to transmit to PDSCH.This region is on frequency domain, to occupy 1 RB, and in time domain, occupies 1 subframe.

Fig. 6 has shown the method for the employing embodiment of the present invention and has adopted existing high specific merging (MRC) and traditional disturbance restraining method (MMSE-IRC) to disturb the contrast that suppresses the throughput performance obtaining, as can be seen from Figure, the performance that adopts the interference rejection combining method of the embodiment of the present invention all can obtain under any scene.

About the execution mode that comprises above multiple embodiment, following remarks is also disclosed.

The device of remarks 1, a kind of definite noise-plus-interference space covariance matrix, described device comprises:

Signal receiving unit, the signal of described signal receiving unit for sending from several reception antenna receiver/transmitters of receiver;

The first computing unit, described the first computing unit is for the interference plus noise signals on the resource element that calculates respectively each region frequency pilot sign according to the signal that receives and occupy; Wherein, described region refers to and on frequency domain, occupies N _rBindividual Resource Block occupies the time-frequency scope of n OFDM symbol in time domain; Wherein, N _rB, n is greater than zero integer;

The first estimation unit, described the first estimation unit is for estimating according to the described interference plus noise signals in each region of the quantity of the described frequency pilot sign in each region and calculating acquisition the noise-plus-interference space covariance matrix that each region is initial;

Eigenvalues Decomposition unit, described Eigenvalues Decomposition unit is for carrying out respectively Eigenvalues Decomposition to the described initial noise-plus-interference space covariance matrix in each region, to obtain the characteristic value of described initial noise-plus-interference space covariance matrix in each region, the quantity of described characteristic value is identical with the quantity of reception antenna;

Power calculation unit, described power calculation unit is for carrying out estimating noise power according to the described characteristic value in each region;

The second computing unit, described the second computing unit is for determining that according to described noise power and adjustment coefficient each region needs the quantity of the interference signal suppressing;

The second estimation unit, described the second estimation unit is for adjusting described initial noise-plus-interference space covariance matrix according to the quantity of described interference signal, noise power, to obtain the noise-plus-interference space covariance matrix in each region.

Remarks 2, according to the device described in remarks 1, wherein,

The initial noise-plus-interference space covariance matrix in each region that described the first estimation unit is estimated is expressed as:

${\tilde{Q}}^{\left(i\right)}=\frac{1}{N_{\mathrm{RS}}}\underset{j=1}{\overset{N_{\mathrm{RS}}}{\mathrm{\Σ}}}\left\{\right[N(n_{i,j},k_{i,j})\left]{\left[N(n_{i,j},k_{i,j})\right]}^H\right\};$

Wherein, represent the initial noise-plus-interference space covariance matrix in i region; N _rSrepresent the quantity of the resource element that in region, frequency pilot sign occupies; N(n _i,j, k _i,j) represent the interference plus noise signals on resource element that each region frequency pilot sign occupies; (n _i,j, k _i,j) being illustrated in the index that is occupied resource element in i region by frequency pilot sign, i represents i region, j represents j frequency pilot sign; I, j are greater than zero integer;

The described interference plus noise signals N(n in each region _i,j, k _i,j) be expressed as:

$N(n_{i,j},k_{i,j})=Y(n_{i,j},k_{i,j})-\tilde{H}(n_{i,j},k_{i,j})S_{\mathrm{RS}}(n_{i,j},k_{i,j});$

Wherein, Y (n _i,j, k _i,j) represent that frequency pilot sign in each region occupies the reception signal of resource element; represent that frequency pilot sign in each region occupies the channel estimate matrix of resource element, dimension is N _r× N _t; S _rS(n _i,j, k _i,j) represent that frequency pilot sign in each region occupies the N of resource element _t× 1 transmitting pilot signal vector; N _rrepresent the antenna amount of receiver; N _trepresent the antenna amount of transmitter;

Described Eigenvalues Decomposition unit carries out to described initial noise-plus-interference space covariance matrix the matrix notation that Eigenvalues Decomposition obtains:

${\tilde{Q}}^{\left(i\right)}=U^{\left(i\right)}{\mathrm{\Δ}}^{\left(i\right)}{U}^{\left(i\right)H};$

Wherein, U ⁽ⁱ⁾n _r× N _rthe matrix of characteristic vector, be expressed as:

$U^{\left(i\right)}=\left[\begin{array}{cccc}{U}_1^{\left(i\right)}& U_2^{\left(i\right)}& ...& U_{N_R}^{\left(i\right)}\end{array}\right];$

Wherein, (1≤j≤N _r) be N _r× 1 vector, represents U ⁽ⁱ⁾j row;

Δ ⁽ⁱ⁾n _r× N _rdiagonal matrix, and diagonal element is characteristic value, described diagonal matrix is expressed as:

Wherein, the characteristic value in i region,

Remarks 3, according to the device described in remarks 2, wherein, the noise power that described power calculation unit is estimated is:

${\mathrm{\σ}}^2=\frac{1}{N_{\mathrm{region}}{N}_{\mathrm{\λ}}}\underset{i=1}{\overset{N_{\mathrm{region}}}{\mathrm{\Σ}}}\underset{j=N_R-N_{\mathrm{\λ}}+1}{\overset{N_R}{\mathrm{\Σ}}}{w}_j^{\left(i\right)}{\mathrm{\λ}}_j^{\left(i\right)};$

Wherein, σ ²represent the noise power of estimating; N _regionfor the quantity in the region in whole bandwidth or by the quantity in the region in distribution bandwidth; N _λthe quantity of characteristic value used while being illustrated in a region for noise power estimation;

represent the filter factor of j the characteristic value in corresponding i region, for being greater than zero number.

Remarks 4, according to the device described in remarks 3, wherein, in the time carrying out noise-plus-interference spatial covariance matrix estimation based on public reference signal (CRS), N _regionrepresent the quantity in the region in whole bandwidth; In the time carrying out noise-plus-interference spatial covariance matrix estimation based on demodulated reference signal (DMRS), N _regionrepresent the quantity in the region of distribute in bandwidth.

Remarks 5, according to the device described in remarks 3 or 4, wherein, or N _λ=1;

And at N _λ=1 and time, described noise power is: ${\mathrm{\σ}}^2=\frac{1}{N_{\mathrm{region}}}\underset{i=1}{\overset{N_{\mathrm{region}}}{\mathrm{\Σ}}}{\mathrm{\λ}}_{N_R}^{\left(i\right)}.$

Remarks 6, according to the device described in remarks 3 or 4, wherein, the value of described characteristic value is: the minimum value in characteristic value

Remarks 7, according to the device described in remarks 3 or 4, wherein, the quantity of interference signal in each region that described the second computing unit is determined is:

$m^{\left(i\right)}=\underset{{\mathrm{\λ}}_j^{\left(i\right)\≥\mathrm{\α}{\mathrm{\σ}}^2}}{\max }\left\{j\right\};$

Wherein, m ⁽ⁱ⁾represent the quantity of the interference signal in i region; α is not less than 1 positive number.

Remarks 8, according to the device described in remarks 7, wherein, the value of described α is:

$\mathrm{\α}=\left\{\begin{array}{cc}2,& N_R=2\\ 4,& N_R=4\end{array}\right..$

Remarks 9, according to the device described in remarks 7 or 8, wherein, the noise-plus-interference space covariance matrix Q in each region that described the second estimation unit is estimated _mfor:

${\hat{Q}}_m^{\left(i\right)}=U_m^{\left(i\right)}({\mathrm{\Δ}}_m^{\left(i\right)}-{\mathrm{\σ}}^2{I}_{m^{\left(i\right)}})U_m^{\left(i\right)H}+{\mathrm{\σ}}^2{I}_{N_R};$

$U_m^{\left(i\right)}=\left[\begin{array}{cccc}{U}_1^{\left(i\right)}& U_2^{\left(i\right)}& ...& U_{m^{\left(i\right)}}^{\left(i\right)}\end{array}\right];$

Wherein, represent the noise-plus-interference space covariance matrix in i region; for matrix U ⁽ⁱ⁾left part, dimension be N _r× m ⁽ⁱ⁾matrix; represent m ⁽ⁱ⁾× m ⁽ⁱ⁾diagonal matrix, the corresponding maximum m of the diagonal element of described diagonal matrix ⁽ⁱ⁾individual characteristic value; I _nthe unit matrix that represents N × N, the value of N is N _rand m ⁽ⁱ⁾.

Remarks 10, a kind of interference suppress to merge device, and described device comprises:

Covariance matrix computing unit, described covariance matrix computing unit is for determining noise-plus-interference space covariance matrix Q _m, comprise the device described in any one remarks of remarks 1 to 8.

The 3rd computing unit, described the 3rd computing unit is used for according to the channel matrix and the described noise-plus-interference space covariance matrix Q that estimate _mcalculate the balanced matrix W (n, k) of (comprising the resource element that resource element that frequency pilot sign occupies and data symbol occupy) of each resource element in each region.

Signal estimation unit, described Signal estimation unit is for processing to the received signal according to described balanced matrix W (n, k), to obtain estimated signal

Remarks 11, according to the device described in remarks 10, wherein, $W(n,k)=\tilde{H}(n,k){(\tilde{H}(n,k)\tilde{H}{(n,k)}^H+{\hat{Q}}_m^{\left(i\right)})}^{-1};$

$\tilde{S}(n,k)=W(n,k)Y(n,k).$

Remarks 12, a kind of receiver, described receiver comprises that the interference described in remarks 10 or 11 suppresses to merge device.

A kind of method of remarks 13, definite noise-plus-interference space covariance matrix, described method comprises:

The signal sending from several reception antenna receiver/transmitters of receiver;

Calculate respectively the interference plus noise signals on the resource element that each region frequency pilot sign occupies according to the signal receiving; Wherein, described region refers to and on frequency domain, occupies N _rBindividual Resource Block occupies the time-frequency scope of n OFDM symbol in time domain; Wherein, N _rB, n is greater than zero integer;

Estimate according to the described interference plus noise signals in each region of the quantity of the described frequency pilot sign in each region and calculating acquisition the noise-plus-interference space covariance matrix that each region is initial;

Described initial noise-plus-interference space covariance matrix to each region is carried out respectively Eigenvalues Decomposition, to obtain the characteristic value of described initial noise-plus-interference space covariance matrix in each region, the quantity of described characteristic value is identical with the quantity of reception antenna;

Carry out estimating noise power according to the described characteristic value in each region;

Determine according to described noise power and adjustment coefficient the quantity that needs the interference signal suppressing in each region;

According to the quantity of described interference signal, noise power, described initial noise-plus-interference space covariance matrix is adjusted, to obtain the noise-plus-interference space covariance matrix in each region.

Remarks 14, according to the method described in remarks 13, wherein,

The initial noise-plus-interference space covariance matrix in each region of estimating is expressed as:

${\tilde{Q}}^{\left(i\right)}=\frac{1}{N_{\mathrm{RS}}}\underset{i=1}{\overset{N_{\mathrm{RS}}}{\mathrm{\Σ}}}\left\{\right[N(n_{i,j},k_{i,j})\left]{\left[N(n_{i,j},k_{i,j})\right]}^H\right\};$

Wherein, represent the initial noise-plus-interference space covariance matrix in i region; N _rSin expression region, frequency pilot sign occupies the quantity of resource element; N(n _i,j, k _i,j) represent that the frequency pilot sign in each region occupies the interference plus noise signals on resource element; (n _i,j, k _i,j) being illustrated in the index that is occupied resource element in i region by frequency pilot sign, i represents i region, j represents j frequency pilot sign; I, j are greater than zero integer;

The described interference plus noise signals N(n in each region _i,j, k _i,j) be expressed as:

$N(n_{i,j},k_{i,j})=Y(n_{i,j},k_{i,j})-\tilde{H}(n_{i,j},k_{i,j})S_{\mathrm{RS}}(n_{i,j},k_{i,j});$

Wherein, Y (n _i,j, k _i,j) represent that frequency pilot sign in each region occupies the reception signal of resource element; the frequency pilot sign that represents each region occupies the channel estimate matrix on resource element, and dimension is N _r× N _t; S _rS(n _i,j, k _i,j) represent that the frequency pilot sign in each region occupies the N on resource element _t× 1 transmitting pilot signal vector; N _rrepresent the antenna amount of receiver; N _trepresent the antenna amount of transmitter;

Described initial noise-plus-interference space covariance matrix is carried out to the matrix notation that Eigenvalues Decomposition obtains is:

${\tilde{Q}}^{\left(i\right)}=U^{\left(i\right)}{\mathrm{\Δ}}^{\left(i\right)}{U}^{\left(i\right)H};$

Wherein, U ⁽ⁱ⁾n _r× N _rthe matrix of characteristic vector, be expressed as:

$U^{\left(i\right)}=\left[\begin{array}{cccc}{U}_1^{\left(i\right)}& U_2^{\left(i\right)}& ...& U_{N_R}^{\left(i\right)}\end{array}\right];$

Wherein, (1≤j≤N _r) be N _r× 1 vector, represents U ⁽ⁱ⁾j row;

Δ ⁽ⁱ⁾n _r× N _rdiagonal matrix, and diagonal element is characteristic value, described diagonal matrix is expressed as:

Wherein, the characteristic value in i region,

Remarks 15, according to the method described in remarks 14, wherein, the noise power of estimation is:

${\mathrm{\σ}}^2=\frac{1}{N_{\mathrm{region}}{N}_{\mathrm{\λ}}}\underset{i=1}{\overset{N_{\mathrm{region}}}{\mathrm{\Σ}}}\underset{j=N_R-N_{\mathrm{\λ}}+1}{\overset{N_R}{\mathrm{\Σ}}}{w}_j^{\left(i\right)}{\mathrm{\λ}}_j^{\left(i\right)};$

Wherein, σ ²represent the noise power of estimating; N _regionfor the quantity in the region in whole bandwidth or by the quantity in the region in distribution bandwidth; N _λthe quantity of characteristic value used while being illustrated in a region for noise power estimation;

represent the filter factor of j the characteristic value in corresponding i region, for being greater than zero number.

Remarks 16, according to the method described in remarks 15, wherein, in the time carrying out noise-plus-interference spatial covariance matrix estimation based on public reference signal (CRS), N _regionrepresent the quantity in the region in whole bandwidth; In the time carrying out noise-plus-interference spatial covariance matrix estimation based on demodulated reference signal (DMRS), N _regionrepresent the quantity in the region of distribute in bandwidth.

Remarks 17, according to the method described in remarks 15 or 16, wherein, or N _λ=1;

And at N _λ=1 and time, described noise power is: ${\mathrm{\σ}}^2=\frac{1}{N_{\mathrm{region}}}\underset{i=1}{\overset{N_{\mathrm{region}}}{\mathrm{\Σ}}}{\mathrm{\λ}}_{N_R}^{\left(i\right)}.$

Remarks 18, according to the method described in remarks 15 or 16, wherein, the value of described characteristic value is: the minimum value in characteristic value

Remarks 19, according to the method described in remarks 15 or 16, wherein, the quantity of interference signal in each region of determining is:

$m^{\left(i\right)}=\underset{{\mathrm{\λ}}_j^{\left(i\right)}\≥\mathrm{\α}{\mathrm{\σ}}^2}{\max }\left\{j\right\};$

Wherein, m ⁽ⁱ⁾represent the quantity of the interference signal in i region; α is not less than 1 positive number.

Remarks 20, according to the method described in remarks 19, wherein, the value of described α is:

$\mathrm{\α}=\left\{\begin{array}{cc}2,& N_R=2\\ 4,& N_R=4\end{array}\right..$

Remarks 21, according to the method described in remarks 19 or 20, wherein, the noise-plus-interference space covariance matrix Q in each region of estimation _mfor:

${\tilde{Q}}_m^{\left(i\right)}=U_m^{\left(i\right)}({\mathrm{\Δ}}_m^{\left(i\right)}-{\mathrm{\σ}}^2{I}_{m^{\left(i\right)}})U_m^{\left(i\right)H}+{\mathrm{\σ}}^2{I}_{N_R};$

$U_m^{\left(i\right)}=\left[\begin{array}{cccc}{U}_1^{\left(i\right)}& U_2^{\left(i\right)}& ...& U_{m^{\left(i\right)}}^{\left(i\right)}\end{array}\right];$

Wherein, represent the noise-plus-interference space covariance matrix in i region; for matrix U ⁽ⁱ⁾left part, dimension be N _r× m ⁽ⁱ⁾matrix; represent m ⁽ⁱ⁾× m ⁽ⁱ⁾diagonal matrix, the corresponding maximum m of the diagonal element of described diagonal matrix ⁽ⁱ⁾individual characteristic value; I _nthe unit matrix that represents N × N, the value of N is N _rand m ⁽ⁱ⁾.

Remarks 22, a kind of interference rejection combining method, described method comprises:

Determine noise-plus-interference space covariance matrix Q _m, adopt the method described in any one remarks of remarks 13 to 21;

According to the channel matrix and the described noise-plus-interference space covariance matrix Q that estimate _mcalculate the balanced matrix W (n, k) of (comprising the resource element that resource element that frequency pilot sign occupies and data symbol occupy) of each resource element in each region.

Process to the received signal according to described balanced matrix W (n, k), to obtain estimated signal

Remarks 23, according to the method described in remarks 22, wherein,

$W(n,k)=\tilde{H}(n,k){(\tilde{H}(n,k)\tilde{H}{(n,k)}^H+{\tilde{Q}}_m^{\left(i\right)})}^{-1};$

$\tilde{S}(n,k)=W(n,k)Y(n,k).$

Apparatus and method more than the present invention can be realized by hardware, also can be realized by combination of hardware software.The present invention relates to such computer-readable program, in the time that this program is performed by logical block, can make this logical block realize device mentioned above or component parts, or make this logical block realize the whole bag of tricks mentioned above or step.The invention still further relates to the storage medium for storing above program, as hard disk, disk, CD, DVD, flash memory etc.

In conjunction with concrete execution mode, invention has been described above, but it will be apparent to those skilled in the art that these descriptions are all exemplary, is not limiting the scope of the invention.Those skilled in the art can make various variants and modifications to the present invention according to spirit of the present invention and principle, and these variants and modifications also within the scope of the invention.

Claims (10)

1. a device for definite noise-plus-interference space covariance matrix, described device comprises:

Signal receiving unit, the signal of described signal receiving unit for sending from several reception antenna receiver/transmitters of receiver;

The first computing unit, described the first computing unit is for the interference plus noise signals on the resource element that calculates respectively each region frequency pilot sign according to the signal that receives and occupy; Wherein, described region refers to and on frequency domain, occupies N _rBindividual Resource Block occupies the time-frequency scope of n OFDM symbol in time domain; Wherein, N _rB, n is greater than zero integer;

The first estimation unit, described the first estimation unit estimates for the described interference plus noise signals that occupies the quantity of resource element and each region of calculating acquisition according to the described frequency pilot sign in each region the noise-plus-interference space covariance matrix that each region is initial;

Eigenvalues Decomposition unit, described Eigenvalues Decomposition unit is for carrying out respectively Eigenvalues Decomposition to the described initial noise-plus-interference space covariance matrix in each region, to obtain the characteristic value of initial noise-plus-interference space covariance matrix in each region, the quantity of described characteristic value is identical with the quantity of reception antenna;

Power calculation unit, described power calculation unit is for carrying out estimating noise power according to the described characteristic value in each region;

The second computing unit, described the second computing unit is for determining that according to described noise power and adjustment coefficient each region needs the quantity of the interference signal suppressing;

The second estimation unit, described the second estimation unit is for adjusting described initial noise-plus-interference space covariance matrix according to the quantity of described interference signal, noise power, to obtain the noise-plus-interference space covariance matrix in each region.

2. device according to claim 1, wherein,

The initial noise-plus-interference space covariance matrix in each region that described the first estimation unit is estimated is expressed as:

${\tilde{Q}}^{\left(i\right)}=\frac{1}{N_{\mathrm{RS}}}\underset{j=1}{\overset{N_{\mathrm{RS}}}{\mathrm{\Σ}}}\left\{{\left[N(n_{i,j},k_{i,j})\right]\left[N(n_{i,j},k_{i,j})\right]}^H\right\};$

Wherein, represent the initial noise-plus-interference space covariance matrix in i region; N _rSrepresent the quantity of the resource element that in region, frequency pilot sign occupies; N(n _i,j, k _i,j) represent the interference plus noise signals on resource element that each region frequency pilot sign occupies; (n _i,j, k _i,j) being illustrated in the index that is occupied resource element in i region by frequency pilot sign, i represents i region, j represents j frequency pilot sign; I, j are greater than zero integer;

The described interference plus noise signals N(n in each region _i,j, k _i,j) be expressed as:

$N(n_{i,j},k_{i,j})=Y(n_{i,j},k_{i,j})-\tilde{H}(n_{i,j},k_{i,j})S_{\mathrm{RS}}(n_{i,j},k_{i,j});$

Wherein, Y (n _i,j, k _i,j) represent that frequency pilot sign in each region occupies the reception signal of resource element; represent the channel estimate matrix on resource element that in each region, frequency pilot sign occupies, dimension is N _r× N _t; S _rS(n _i,j, k _i,j) represent the N on resource element that in each region, frequency pilot sign occupies _t× 1 transmitting pilot signal vector; N _rrepresent the antenna amount of receiver; N _trepresent the antenna amount of transmitter;

Described Eigenvalues Decomposition unit carries out to described initial noise-plus-interference space covariance matrix the matrix notation that Eigenvalues Decomposition obtains:

${\tilde{Q}}^{\left(i\right)}=U^{\left(i\right)}{\mathrm{\Δ}}^{\left(i\right)}{U}^{\left(i\right)H};$

Wherein, U ⁽ⁱ⁾n _r× N _reigenvectors matrix, be expressed as:

$U^{\left(i\right)}=\left[\begin{array}{cccc}{U}_1^{\left(i\right)}& U_2^{\left(i\right)}& ...& U_{N_R}^{\left(i\right)}\end{array}\right];$

Wherein, n _r× 1 vector, represents U ⁽ⁱ⁾j row;

Δ ⁽ⁱ⁾n _r× N _rdiagonal matrix, Δ ⁽ⁱ⁾diagonal element be characteristic value, described diagonal matrix is expressed as:

Wherein, the characteristic value in i region,

3. device according to claim 2, wherein, the noise power that described power calculation unit is estimated is:

${\mathrm{\σ}}^2=\frac{1}{N_{\mathrm{region}}{N}_{\mathrm{\λ}}}\underset{i=1}{\overset{N_{\mathrm{region}}}{\mathrm{\Σ}}}\underset{j=N_R-N_{\mathrm{\λ}}+1}{\overset{N_R}{\mathrm{\Σ}}}{w}_j^{\left(i\right)}{\mathrm{\λ}}_j^{\left(i\right)};$

Wherein, σ ²represent the noise power of estimating; N _regionfor the quantity in the region in whole bandwidth or by the quantity in the region in distribution bandwidth; N _λthe quantity of characteristic value used while being illustrated in a region for noise power estimation; represent the filter factor of j the characteristic value in corresponding i region, for being greater than zero number.

4. device according to claim 3, wherein, or N _λ=1;

And at N _λ=1 and time, described noise power is:

5. device according to claim 3, wherein, the value of described characteristic value is: the minimum value in characteristic value

6. device according to claim 3, wherein, the quantity of the interference signal in each region that described the second computing unit is determined is:

$m^{\left(i\right)}=\underset{{\mathrm{\λ}}_j^{\left(i\right)}\≥\mathrm{\α}{\mathrm{\σ}}^2}{\max }\left\{j\right\};$

Wherein, m ⁽ⁱ⁾represent the quantity of the interference signal in i region; α is not less than 1 positive number.

7. device according to claim 6, wherein, the value of described α is:

$\mathrm{\α}=\left\{\begin{array}{cc}2,& N_R=2\\ 4,& N_R=4\end{array}\right..$

8. device according to claim 7, wherein, the noise-plus-interference space covariance matrix in each region that described the second estimation unit is estimated is:

${\hat{Q}}_m^{\left(i\right)}=U_m^{\left(i\right)}({\mathrm{\Δ}}_m^{\left(i\right)}-{\mathrm{\σ}}^3{I}_{m^{\left(i\right)}})U_m^{\left(i\right)H}+{\mathrm{\σ}}^2{I}_{N_R};$

$U_m^{\left(i\right)}=\left[\begin{array}{cccc}{U}_1^{\left(i\right)}& U_2^{\left(i\right)}& ...& U_{m^{\left(i\right)}}^{\left(i\right)}\end{array}\right];$

Wherein, represent the noise-plus-interference space covariance matrix in i region; for matrix U ⁽ⁱ⁾left part, dimension be N _r× m ⁽ⁱ⁾matrix; represent m ⁽ⁱ⁾× m ⁽ⁱ⁾diagonal matrix, the corresponding maximum m of the diagonal element of described diagonal matrix ⁽ⁱ⁾individual characteristic value; I _nthe unit matrix that represents N × N, the value of N is N _rand m ⁽ⁱ⁾.

9. disturb and suppress to merge a device, described device comprises:

Covariance matrix computing unit, described covariance matrix computing unit is for determining noise-plus-interference space covariance matrix, comprises the device described in any one claim of claim 1 to 8.

The 3rd computing unit, described the 3rd computing unit is for calculating the balanced matrix of the resource element that in each region, frequency pilot sign and data symbol occupy according to channel estimate matrix and described noise-plus-interference space covariance matrix;

Disturb and suppress merge cells, described interference suppresses merge cells for processing to the received signal according to described balanced matrix, to obtain estimated signal.

10. a receiver, described receiver comprises that interference claimed in claim 9 suppresses to merge device.