CN104717163A - Noise estimation method and user equipment - Google Patents

Abstract

The embodiment of the invention discloses a noise estimation method and user equipment. The noise estimation method and the user equipment are used for accurately estimating interference plus noise to improve system performance and data transmission speed of the user equipment. The noise estimation method comprises the steps that wireless signals are received and the wireless signals comprise a pilot signal y[1]; channel estimation is conducted on a serving cell and an interference cell respectively according to y[1] to obtain a channel matrix H[d] of the serving cell and a channel matrix H[I] of the interference cell; a transmission pilot signal x[d] of the serving cell and a transmission pilot signal x[I] of the interference cell are obtained; when x[d] coincides with x[I] at the position of a time-frequency domain, an interference-plus-noise vector u is obtained through calculation according to the formula that u=y[1]-H[d]*x[d]-H[I]*x[I]; an interference-plus-noise covariance matrix uu<H> is obtained through calculation according to u; a noise estimation result R[u][u] is obtained through conducting cumulative summing and averaging processing on uu<H>.

Description

Noise estimation method and user equipment

Technical Field

The present invention relates to the field of wireless communications, and in particular, to a noise estimation method and a user equipment.

Background

With the rapid development of wireless communication systems, the wireless network environment is becoming worse due to the increasingly dense arrangement of base stations. In order to acquire a useful signal transmitted by a serving cell, a User Equipment (UE) camped on the serving cell needs to receive a radio signal through an antenna and detect the radio signal, so as to acquire the useful signal transmitted by the serving cell.

Before detection, the UE first needs to estimate the interference plus noise of the wireless signal, and the interference plus noise can be used for channel measurement, parameter blind estimation, and other operations besides subsequent detection.

While the wireless signal of the interfering cell adjacent to the serving cell may affect the estimation result of the interference plus noise to some extent, in the prior art, the information of the interfering cell is not utilized when estimating the interference plus noise, that is, the information of the interfering cell is included in the interference plus noise, so that the problems of inaccuracy of the estimation result and the like are caused, and the system performance of the UE is affected to a great extent, thereby affecting the transmission rate of data.

Disclosure of Invention

The invention provides a noise estimation method and user equipment, which are used for accurately estimating interference and noise so as to improve the system performance of the user equipment and the transmission rate of data.

A first aspect of the present invention provides a noise estimation method, including:

receiving a wireless signal, the wireless signal comprising: pilot signal y₁；

According to the y₁Respectively carrying out channel estimation on a service cell and an interference cell to obtain a channel matrix H of the service cell_dAnd a channel matrix H of the interfering cell_I；

Acquiring the transmitted pilot signal x of the serving cell_dAnd a transmission pilot signal x of the interfering cell_I；

When said x is_dAnd said x_IWhen the positions of the time-frequency domain coincide with each other, y is defined as the formula u₁－H_d*x_d－H_I*x_ICalculating to obtain an interference plus noise vector u;

calculating to obtain an interference plus noise covariance matrix uu according to the u^H；

For the uu^HPerforming accumulation and average processing to obtain a noise estimation result R_uu。

With reference to the first aspect of the present invention, in a first implementation manner of the first aspect of the present invention, the wireless signal further includes: data signal y₂The method further comprises the following steps:

when said x is_dAnd said x_IWhen the positions of the time-frequency domain are not coincident, according to the y₂Calculating to obtain the y₂Covariance matrix y of₂y₂ ^H；

Obtaining the power ratio P of the transmitting data signal and the transmitting pilot signal of the service cell_dAnd the power ratio P of the transmitted data signal to the transmitted pilot signal of the interfering cell_I；

According to H_dCalculating to obtain a channel covariance matrix H of the serving cell_dH_d ^HAnd according to H_ICalculating to obtain a channel covariance matrix H of the interference cell_IH_I ^H；

For the y₂y₂ ^HPerforming accumulation and average processing to obtain a first accumulation result R_yyTo said H_dH_d ^HPerforming accumulation and average processing to obtain a second accumulation result R_hh,dAnd to said H_IH_I ^HPerforming accumulation and average processing to obtain a third accumulation result R_hh,I；

According to the formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICalculating to obtain the noise estimation result R_uu。

With reference to the first implementation manner of the first aspect of the present invention, in a second implementation manner of the first aspect of the present invention, the equation R is used_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICalculating to obtain the noise estimation result R_uuThe method comprises the following steps:

according to a preset first power factor P_Extra1And a second power factor P_Extra2For formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICorrecting;

according to the modified formula R_uu＝R_yy－R_hh,d×P_d×P_Extra1－R_hh,I×P_I×P_Extra2Calculating to obtain the R_uuSo that said R is_uuIs a positive definite matrix.

In connection with the first implementation of the first aspect of the invention,in a third implementation of the first aspect of the invention, the method is performed according to formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICalculating to obtain the noise estimation result R_uuThen, the method further comprises the following steps:

when said R is_uuWhen it is a non-positive timing matrix, in said R_uuRespectively adding preset correction values to the diagonal elements of R_uuCorrected to obtain R_uuMaking the corrected R_uuIs a positive definite matrix.

With reference to the first aspect of the present invention, or the first implementation manner of the first aspect, or the second implementation manner of the first aspect, or the third implementation manner of the first aspect, in a fourth implementation manner of the first aspect of the present invention, the method further includes:

by means of R_uuAnd detecting the wireless signal.

A second aspect of the present invention provides a user equipment, comprising:

a receiving unit configured to receive a wireless signal, the wireless signal including: pilot signal y₁；

A channel estimation unit for estimating the channel according to the pilot signal y received by the receiving unit₁Respectively carrying out channel estimation on a service cell and an interference cell to obtain a channel estimation matrix H of the service cell_dAnd a channel estimation matrix H of the interfering cell_I；

A first obtaining unit, configured to obtain a transmission pilot signal x of the serving cell_dTransmitting pilot signal x with the interfering cell_I；

A first calculation unit for calculating x_dAnd said x_IWhen the positions of the time-frequency domain coincide with each other, y is defined as the formula u₁－H_d*x_d－H_I*x_ICalculating to obtain an interference plus noise vector u;

a second calculating unit, configured to calculate an interference-plus-noise covariance matrix uu according to the u obtained by the first calculating unit^H；

A first processing unit for calculating the uu obtained by the second calculation unit^HPerforming accumulation and average processing to obtain a noise estimation result R_uu。

With reference to the second aspect of the present invention, in a first implementation manner of the second aspect of the present invention, the wireless signal further includes: data signal y₂The user equipment further comprises:

a third calculation unit for calculating x_dAnd said x_IWhen the positions of the time domain and the frequency domain are not coincident, the data signal y received by the receiving unit is used for₂Calculating to obtain the data signal y₂Covariance matrix y of₂y₂ ^H；

A second obtaining unit, configured to obtain a power ratio P of a transmission data signal and a transmission pilot signal of the serving cell_dAnd the power ratio P of the transmitted data signal to the transmitted pilot signal of the interfering cell_I；

A fourth calculation unit for calculating H_dCalculating to obtain a channel covariance matrix H of the serving cell_dH_d ^HAnd according to said H_ICalculating to obtain a channel estimation covariance matrix H of the interference cell_IH_I ^H；

A second processing unit for processing the y₂y₂ ^HPerforming accumulation and average processing to obtain a first accumulation result R_yyTo said H_dH_d ^HPerforming accumulation and average processing to obtain a second accumulation result R_hh,dAnd to said H_IH_I ^HPerforming accumulation and average processing to obtain a third accumulation result R_hh,I；

A fifth calculation unit for calculating R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICalculating to obtain the noise estimation result R_uu。

With reference to the first implementation manner of the second aspect of the present invention, in a second implementation manner of the second aspect of the present invention, the fifth calculating unit includes:

a modification module for modifying the power according to a preset first power factor P_Extra1And a second power factor P_Extra2For formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICorrecting;

a calculation module for calculating the formula R according to the corrected formula R_uu＝R_yy－R_hh,d×P_d×P_Extra1－R_hh,I×P_I×P_Extra2Calculating to obtain the R_uuSo that said R is_uuIs a positive definite matrix.

With reference to the first implementation manner of the second aspect of the present invention, in a third implementation manner of the second aspect of the present invention, the user equipment further includes:

a correction unit for correcting when R is_uuWhen it is a non-positive timing matrix, in said R_uuRespectively adding preset correction values to the diagonal elements of R_uuMaking a correction so that the corrected R_uuIs a positive definite matrix.

With reference to the second aspect of the present invention, or the first implementation manner of the second aspect, or the second implementation manner of the second aspect, or the third implementation manner of the second aspect, in a fourth implementation manner of the second aspect of the present invention, the user equipment further includes:

a detection unit for using R_uuAnd detecting the wireless signal.

According to the technical scheme, the invention has the following advantages:when said x is_dAnd said x_IWhen the positions of the time-frequency domain coincide with each other, y is defined as the formula u₁－H_d*x_d－H_I*x_ICalculating to obtain an interference plus noise vector u; and calculating to obtain an interference plus noise covariance matrix uu according to the u^HAnd for the uu^HPerforming accumulation and average processing to obtain a noise estimation result R_uu. Therefore, the method can accurately estimate the interference plus noise by using the wireless signal information of the serving cell and the interfering cell, thereby improving the system performance of the user equipment and the transmission rate of data.

Drawings

FIG. 1 is a flow chart illustrating a noise estimation method according to an embodiment of the present invention;

FIG. 2 is a flow chart illustrating a noise estimation method according to another embodiment of the present invention;

FIG. 3 is a flow chart illustrating a noise estimation method according to another embodiment of the present invention;

FIG. 4 is a flowchart illustrating a noise estimation method according to another embodiment of the present invention;

FIG. 5 is a flowchart illustrating a noise estimation method according to another embodiment of the present invention;

fig. 6 is a schematic structural diagram of an embodiment of a ue provided in the present invention;

fig. 7 is a schematic structural diagram of another embodiment of a ue provided in the present invention;

fig. 8 is a schematic structural diagram of another embodiment of a ue provided in the present invention;

fig. 9 is a schematic structural diagram of another embodiment of a ue provided in the present invention;

fig. 10 is a schematic structural diagram of another embodiment of a ue provided in the present invention;

fig. 11 is a schematic structural diagram of another embodiment of a ue provided in the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1, an embodiment of a noise estimation method according to the embodiment of the present invention includes:

101. receiving a wireless signal, the wireless signal comprising: pilot signal y₁；

In particular, the UE may receive the wireless signal through a transceiver coupled to an antenna; it should be noted that, in order to facilitate the UE to obtain the forward cdma channel timing and provide the UE with the phase reference required for demodulation, etc., in the prior art, the base station in the serving cell or the interfering cell needs to continuously transmit the unmodulated direct sequence spread spectrum signal, i.e., the pilot signal, and the specific role of the pilot signal can be referred to in the prior art, which is not described in detail herein.

102. According to y₁Respectively carrying out channel estimation on a service cell and an interference cell to obtain a channel matrix H of the service cell_dAnd the channel matrix H of the interfering cell_I；

The UE is configured to receive the pilot signal y₁When the channel estimation is respectively carried out on the service cell and the interference cell, the channel estimation can be carried out on the service cell and the interference cell at the same time or in different time, and the restriction is not carried out; wherein the H is obtained_dAnd the H_IThe channel matrix of the pilot position of the serving cell and the channel matrix of the pilot position of the interfering cell are respectively, the number of the interfering cells may be one or more, and the specific number is not limited here; for example, when there are two interfering cells, the channel matrix H of the interfering cell is obtained_I＝H_I0+H_I1。

103. Acquiring the transmitting pilot signal x of the service cell_dAnd the transmitted pilot signal x of the interfering cell_I；

It should be noted that, the UE may obtain the transmitted pilot signal x of the serving cell from the network side through a high-level signaling or the like_dAnd the transmitted pilot signal x of the interfering cell_I(ii) a Specifically, reference may be made to the prior art, which is not described herein again; likewise, when the number of interfering cells is two, the transmitted pilot signals of the interfering cells may be respectively represented as x_I0、x_I1。

104. When the x is_dAnd the x_IWhen the positions of the time-frequency domain coincide with each other, y is defined as the formula u₁－H_d*x_d－H_I*x_ICalculating to obtain an interference plus noise vector u;

wherein the transmission pilot signal x of the serving cell_dTransmitting pilot signal x with interfering cell_IThe position coincidence in the time-frequency domain means x_dAnd x_IThe pilot patterns at the same position in the time-frequency domain are the same, i.e. the pilot collision, and refer to the description of the prior art specifically when x is_dAnd the x_IWhen the positions of the time domain and the frequency domain coincide, the method for calculating the interference and noise vector u comprises the following steps: using pilot signals y₁Subtracting signal H at pilot position of serving cell_d*x_dThen subtracting the signal H at the pilot frequency position of the interference cell_I*x_I(ii) a Likewise, when the number of the interfering cells is two, the formula may be expressed as u-y₁－H_d*x_d－H_I0*x_I0－H_I1*x_I1When the number of the interference cells is more than one, and so on,and will not be described in detail herein.

105. Calculating to obtain an interference plus noise covariance matrix uu according to the u^H；

According to the obtained interference and noise vector u, the interference and noise covariance matrix uu can be obtained by utilizing the existing covariance matrix calculation method^H。

106. For the uu^HPerforming accumulation and average processing to obtain a noise estimation result R_uu。

To the obtained interference and noise covariance matrix uu^HPerforming accumulation and average processing to obtain a noise estimation result R_uu(ii) a It should be noted that the UE performs the interference-plus-noise covariance matrix uu to the pilot frequency position within a certain time-frequency range^HPerforming accumulation and average treatment, wherein the result after accumulation and average isWherein N is R_uuCounting the number of available samples in the region; the processing procedure is equivalent to the expected operation of data, so that the statistical characteristic of interference plus noise can be better reflected.

In the embodiment of the present invention, when x is_dAnd the x_IWhen the positions of the time-frequency domain coincide with each other, y is defined as the formula u₁－H_d*x_d－H_I*x_ICalculating to obtain an interference plus noise vector u; and calculating to obtain an interference plus noise covariance matrix uu according to the u^HAnd for the uu^HPerforming accumulation and average processing to obtain a noise estimation result R_uu. Therefore, when the method calculates the noise estimation result by using the wireless signal information of the serving cell and the adjacent interference cell, the interference of the adjacent interference cell is excluded from the noise estimation result, and the noise estimation result can be calculated more accurately, so that the system performance of the user equipment and the data transmission rate can be improved when the user equipment performs detection, channel measurement, parameter blind estimation and other operations by using the noise estimation result.

The above embodiment is based on the transmitted pilot signal x of the serving cell_dTransmitting pilot signal x with the interfering cell_IWith reference to fig. 2, another scenario of the noise estimation method is described in detail below, and another implementation of the noise estimation method in the embodiment of the present invention includes:

201. receiving a wireless signal, the wireless signal comprising: pilot signal y₁And a data signal y₂；

202. According to y₁Respectively carrying out channel estimation on a service cell and an interference cell to obtain a channel matrix H of the service cell_dAnd the channel matrix H of the interfering cell_I；

203. Acquiring the transmitting pilot signal x of the service cell_dAnd the transmitted pilot signal x of the interfering cell_I；

204. When the x is_dAnd the x_IWhen the positions of the time-frequency domain coincide with each other, y is defined as the formula u₁－H_d*x_d－H_I*x_ICalculating to obtain an interference plus noise vector u;

205. calculating to obtain an interference plus noise covariance matrix uu according to the u^H；

206. For the uu^HPerforming accumulation and average processing to obtain a noise estimation result R_uu；

It should be noted that, the steps 201, 202, 203, 204, 205, and 206 correspond to the steps 101, 102, 103, 104, 105, and 106 in the previous embodiment one to one, and are not described in detail here.

207. When the x is_dAnd the x_IWhen the positions of the time-frequency domains do not coincide with each other, y is determined based on the position₂Calculate y to obtain₂Covariance matrix y of₂y₂ ^H；

Wherein,the transmitted pilot signal x of the serving cell_dTransmitting pilot signal x with the interfering cell_IThe positional misalignment in the time-frequency domain means x_dAnd x_IThe pilot patterns at the same position in the time-frequency domain are different, i.e. the pilot collision, and refer to the description of the prior art specifically when x is_dAnd the x_IWhen the positions of the time domain and the frequency domain are not coincident, the UE receives the data signal y₂Calculating to obtain a data signal y₂Covariance matrix y of₂y₂ ^H。

208. Obtaining the power ratio P of the transmitting data signal and the transmitting pilot signal of the service cell_dAnd the power ratio P of the transmitted data signal to the transmitted pilot signal of the interfering cell_I；

Obtaining the power ratio P of the transmitting data signal and the transmitting pilot signal of the service cell_dAnd the power ratio P of the transmitted data signal to the transmitted pilot signal of the interfering cell_I(ii) a Here, P is obtained_dAnd P_ISee the prior art and will not be described in detail herein.

209. According to the H_dCalculating to obtain a channel covariance matrix H of the serving cell_dH_d ^HAnd according to this H_ICalculating to obtain a channel covariance matrix H of the interference cell_IH_I ^H；

According to the channel matrix H of the serving cell_dCalculating to obtain a channel covariance matrix H of the serving cell_dH_d ^HAnd according to the channel matrix H of the interfering cell_ICalculating to obtain a channel covariance matrix H of the interference cell_IH_I ^H。

210. For y₂y₂ ^HPerforming accumulation and average processing to obtain a first accumulation result R_yyTo H_dH_d ^HPerforming accumulation and average processing to obtain a second accumulation result R_hh,dAnd to H_IH_I ^HPerforming accumulation and average processing to obtain a third accumulation result R_hh,I；

It should be noted that the UE may apply the data signal y within a certain time-frequency range₂Covariance matrix y of₂y₂ ^HThe channel covariance matrix H of the serving cell_dH_d ^HAnd the channel covariance matrix H of the interfering cell_IH_I ^HRespectively carrying out accumulation and average treatment, wherein the results after accumulation and average are respectively Wherein N is the number of available samples in the statistical region, and the processing procedure is equivalent to the expectation operation of data, thereby being capable of reflecting the statistical characteristic of the interference plus noise.

211. According to the formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICalculating to obtain the noise estimation result R_uu。

The noise estimation result R_uuThe calculation method comprises the following steps: using the data signal y₂Covariance matrix y of₂y₂ ^HA first summation result R obtained after the summation and averaging processing is carried out_yySubtracting the second summation result R_hh,dTo power ratio P_dIs multiplied by the sum of the first and second summation results R_hh,ITo power ratio P_IThe product of (a).

In the embodiment of the present invention, when x is_dAnd the x_IWhen the positions of the time-frequency domains do not coincide with each other, y is determined based on the position₂Calculate y to obtain₂Covariance matrix y of₂y₂ ^H(ii) a According to the H_dCalculating to obtain a channel covariance matrix H of the serving cell_dH_d ^HAnd according to this H_ICalculating to obtain a channel covariance matrix H of the interference cell_IH_I ^H(ii) a And to y₂y₂ ^HPerforming accumulation and average processing to obtain a first accumulation result R_yyTo the H_dH_d ^HPerforming accumulation and average processing to obtain a second accumulation result R_hh,dAnd to the same H_IH_I ^HPerforming accumulation and average processing to obtain a third accumulation result R_hh,I(ii) a Finally according to the formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICalculating to obtain the noise estimation result R_uu. Therefore, when x is_dAnd the x_IWhen the positions of the time domain and the frequency domain are not coincident, the method can exclude the interference of the adjacent interference cells from the noise estimation result and accurately calculate the noise estimation result when calculating the noise estimation result by using the wireless signal information of the service cell and the adjacent interference cells, so that the system performance of the user equipment and the data transmission rate can be improved when the user equipment performs detection, channel measurement, parameter blind estimation and other work by using the noise estimation result.

Referring to fig. 3, in another embodiment of the present invention, a noise estimation method includes:

301. receiving a wireless signal, the wireless signal comprising: pilot signal y₁And a data signal y₂；

302. According to y₁Respectively carrying out channel estimation on a service cell and an interference cell to obtain a channel matrix H of the service cell_dAnd the channel matrix H of the interfering cell_I；

303. Acquiring the transmitting pilot signal x of the service cell_dAnd the transmitted pilot signal x of the interfering cell_I；

304. When the x is_dAnd the x_IWhen the positions of the time-frequency domain coincide with each other, y is defined as the formula u₁－H_d*x_d－H_I*x_ICalculating to obtain an interference plus noise vector u;

305. according to the aboveu is calculated to obtain an interference plus noise covariance matrix uu^H；

306. For the uu^HPerforming accumulation and average processing to obtain a noise estimation result R_uu；

307. When the x is_dAnd the x_IWhen the positions of the time-frequency domains do not coincide with each other, y is determined based on the position₂Calculate y to obtain₂Covariance matrix y of₂y₂ ^H；

308. Obtaining the power ratio P of the transmitting data signal and the transmitting pilot signal of the service cell_dAnd the power ratio P of the transmitted data signal to the transmitted pilot signal of the interfering cell_I；

309. According to the H_dCalculating to obtain a channel covariance matrix H of the serving cell_dH_d ^HAnd according to H_ICalculating to obtain a channel covariance matrix H of the interference cell_IH_I ^H；

310. For y₂y₂ ^HPerforming accumulation and average processing to obtain a first accumulation result R_yyTo H_dH_d ^HPerforming accumulation and average processing to obtain a second accumulation result R_hh,dAnd to H_IH_I ^HPerforming accumulation and average processing to obtain a third accumulation result R_hh,I；

It should be noted that the steps 301 to 310 correspond to the steps 201 to 210 in the previous embodiment one to one, and are not described in detail here.

311. According to a preset first power factor P_Extra1And a second power factor P_Extra2For formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICorrecting;

in this embodiment, the following detection, channel measurement, parameter blind estimation, and other operation requirements R are met_uuIs positive definite matrix, NoChannel measurement errors and the like may be caused, and therefore, in the present embodiment, the preset first power factor P is adopted_Extra1And a second power factor P_Extra2For formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_IThe correction is made with the aim of preventing the calculated R due to channel estimation inaccuracies_uuIs not true.

312. According to the modified formula R_uu＝R_yy－R_hh,d×P_d×P_Extra1－R_hh,I×P_I×P_Extra2Calculating to obtain the R_uuSo that R is_uuIs a positive definite matrix.

Note that, the noise estimation result R is_uuThe calculation method comprises the following steps: by this y₂y₂ ^HA first summation result R obtained after the summation and averaging processing is carried out_yySubtracting the second summation result R_hh,dTo power ratio P_dAnd a first power factor P_Extra1Is multiplied by the sum of the first and second summation results R_hh,ITo power ratio P_IAnd a second power factor P_Extra2The product of (a); normally, the first power factor P_Extra1And a second power factor P_Extra2May be an empirical value less than 1, so that the formula R is used_uu＝R_yy－R_hh,d×P_d×P_Extra1－R_hh,I×P_I×P_Extra2Calculating the R_uuWhen the R is not present_yySubtracting a smaller value from each element on the diagonal to calculate the R_uuThe elements on the diagonal are positive values, so that R is positive_uuIs a positive definite matrix; of course, in order to make the final calculation more accurate, the R is guaranteed_uuOn the premise of positive determination, the first power factor P_Extra1And a second power factor P_Extra2The empirical value may be greater than 1, and may be determined by means of simulation, test, and the like, which is not limited herein.

In the embodiment of the invention, the method is based onSet a first power factor P_Extra1And a second power factor P_Extra2For formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_IMaking a correction and using the corrected formula R_uu＝R_yy－R_hh,d×P_d×P_Extra1－R_hh,I×P_I×P_Extra2Calculating to obtain the R_uuSo that R is_uuIs a positive definite matrix.

Referring to fig. 4, in another embodiment of the present invention, a noise estimation method includes:

401. receiving a wireless signal, the wireless signal comprising: pilot signal y₁And a data signal y₂；

402. According to y₁Respectively carrying out channel estimation on a service cell and an interference cell to obtain a channel matrix H of the service cell_dAnd the channel matrix H of the interfering cell_I；

403. Acquiring the transmitting pilot signal x of the service cell_dAnd the transmitted pilot signal x of the interfering cell_I；

404. When the x is_dAnd the x_IWhen the positions of the time-frequency domain coincide with each other, y is defined as the formula u₁－H_d*x_d－H_I*x_ICalculating to obtain an interference plus noise vector u;

405. calculating to obtain an interference plus noise covariance matrix uu according to the u^H；

406. For the uu^HPerforming accumulation and average processing to obtain a noise estimation result R_uu；

407. When the x is_dAnd the x_IWhen the positions of the time-frequency domains do not coincide with each other, y is determined based on the position₂Calculate y to obtain₂Covariance matrix y of₂y₂ ^H；

408. Acquiring transmissions of the serving cellPower ratio P of data signal to transmitted pilot signal_dAnd the power ratio P of the transmitted data signal to the transmitted pilot signal of the interfering cell_I；

409. According to the H_dCalculating to obtain a channel covariance matrix H of the serving cell_dH_d ^HAnd according to H_ICalculating to obtain a channel covariance matrix H of the interference cell_IH_I ^H；

410. For y₂y₂ ^HPerforming accumulation and average processing to obtain a first accumulation result R_yyTo the H_dH_d ^HPerforming accumulation and average processing to obtain a second accumulation result R_hh,dAnd to the same H_IH_I ^HPerforming accumulation and average processing to obtain a third accumulation result R_hh,I；

411. According to the formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICalculating to obtain the noise estimation result R_uu；

It should be noted that the steps 401 to 411 correspond to the steps 201 to 211 in the foregoing embodiment one to one, and are not described in detail here.

412. When R is in_uuWhen it is a non-positive timing matrix, in this R_uuRespectively adding preset correction values to the diagonal elements of R_uuMaking a correction to the corrected R_uuIs a positive definite matrix.

Note that the UE determines the noise estimation result R_uuWhether it is a positive definite matrix or not, if it is a non-positive definite matrix, then the noise estimation result R is obtained_uuA fixed correction value is added to the diagonal elements of (1) so that the corrected R_uuIs a positive definite matrix.

In the embodiment of the invention, when R is_uuWhen it is a non-positive timing matrix, in this R_uuRespectively adding preset amendments to the diagonal elementsPositive value for the R_uuMaking a correction to the corrected R_uuIs a positive definite matrix to prevent channel estimation inaccuracy.

Referring to fig. 5, in another embodiment of the present invention, a noise estimation method includes:

501. receiving a wireless signal, the wireless signal comprising: pilot signal y₁And a data signal y₂；

502. According to y₁Respectively carrying out channel estimation on a service cell and an interference cell to obtain a channel matrix H of the service cell_dAnd the channel matrix H of the interfering cell_I；

503. Acquiring the transmitting pilot signal x of the service cell_dAnd the transmitted pilot signal x of the interfering cell_I；

504. When the x is_dAnd the x_IWhen the positions of the time-frequency domain coincide with each other, y is defined as the formula u₁－H_d*x_d－H_I*x_ICalculating to obtain an interference plus noise vector u;

505. calculating to obtain an interference plus noise covariance matrix uu according to the u^H；

506. For the uu^HPerforming accumulation and average processing to obtain a noise estimation result R_uu；

507. When the x is_dAnd the x_IWhen the positions of the time-frequency domains do not coincide with each other, y is determined based on the position₂Calculate y to obtain₂Covariance matrix y of₂y₂ ^H；

508. Obtaining the power ratio P of the transmitting data signal and the transmitting pilot signal of the service cell_dAnd the power ratio P of the transmitted data signal to the transmitted pilot signal of the interfering cell_I；

509. According to the H_dCalculating to obtain a channel covariance matrix H of the serving cell_dH_d ^HAnd according to H_ICalculating to obtain a channel covariance matrix H of the interference cell_IH_I ^H；

510. For y₂y₂ ^HPerforming accumulation and average processing to obtain a first accumulation result R_yyTo the H_dH_d ^HPerforming accumulation and average processing to obtain a second accumulation result R_hh,dAnd to the same H_IH_I ^HPerforming accumulation and average processing to obtain a third accumulation result R_hh,I；

511. According to the formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICalculating to obtain the noise estimation result R_uu；

512. When R is in_uuWhen it is a non-positive timing matrix, in this R_uuRespectively adding preset correction values to the diagonal elements of R_uuMaking a correction to the corrected R_uuIs a positive definite matrix;

it should be noted that the steps 501 to 512 correspond to the steps 401 to 412 in the previous embodiment one to one, and are not described in detail here.

513. By means of R_uuThe wireless signal is detected.

Note that the noise estimation result R is used_uuThe radio signal is subjected to subsequent detection and CQI (Channel Quality Indicator) measurement, where R is the Channel Quality_uuR obtained in step 312 of the above embodiment may be_uuThe corrected R obtained in step 412 in the above embodiment may be R_uu。

In the embodiment of the invention, the noise estimation result R is utilized_uuSubsequent detection and CQI measurement are performed on the wireless signal, thereby facilitating statistics.

In conjunction with the noise estimation method described in the above embodiments,it can be understood that, in practical applications, the noise estimation methods in the above two scenarios can be used in combination, specifically, the UE can determine whether the serving cell collides with the pilot of the interfering cell (the transmitted pilot signal x of the serving cell)_dTransmitting pilot signal x with the interfering cell_IWhether the positions of the time domain and the frequency domain coincide) to select a noise estimation method under a corresponding scene; if the pilot frequency collision between the serving cell and the interfering cell is in dynamic change within a period of time, the UE also performs corresponding switching according to the dynamic change so as to improve the accuracy of noise estimation; the implementation steps are similar to the noise estimation method described in this embodiment, and reference is made to the description, which is not described in detail herein.

For convenience of understanding, the noise estimation method in the embodiment of the present invention is specifically described in a specific application scenario as follows:

UE receives pilot signal y through antenna₁And a data signal y₂And based on the pilot signal y₁Respectively carrying out channel estimation on a service cell and an interference cell to obtain a channel matrix H of the service cell_dAnd the channel matrix H of the interfering cell_I；

UE acquires the transmitting pilot signal x of the serving cell_dAnd the transmitted pilot signal x of the interfering cell_I(ii) a When the pilot signal x is transmitted in the serving cell_dTransmitting pilot signal x with the interfering cell_IWhen the positions of the time-frequency domain coincide with each other, y is defined as the formula u₁－H_d*x_d－H_I*x_ICalculating to obtain an interference and noise vector u, and calculating to obtain an interference and noise covariance matrix uu according to the obtained interference and noise vector u^H；

Interference and noise covariance matrix uu of UE to pilot frequency position in certain time frequency range^HPerforming accumulation and average processing to obtain a noise estimation result R_uuThe result after accumulation and averaging is

When the pilot signal x is transmitted in the serving cell_dTransmitting pilot signal x with the interfering cell_IWhen the positions of the time-frequency domain are not coincident, the UE receives the data signal y₂Calculating to obtain a data signal y₂Covariance matrix y of₂y₂ ^H；

UE obtains the power ratio P of the transmitting data signal and the transmitting pilot signal of the service cell_dAnd the power ratio P of the transmitted data signal to the transmitted pilot signal of the interfering cell_I(ii) a And according to the channel matrix H of the serving cell_dCalculating to obtain a channel covariance matrix H of the serving cell_dH_d ^HAnd according to the channel matrix H of the interfering cell_ICalculating to obtain a channel covariance matrix H of the interference cell_IH_I ^H；

The UE processes the data signal y within a certain time-frequency range₂Covariance matrix y of₂y₂ ^HThe channel covariance matrix H of the serving cell_dH_d ^HAnd the channel covariance matrix H of the interfering cell_IH_I ^HRespectively carrying out accumulation and average treatment, wherein the results after accumulation and average are respectively <math> <mrow> <msub> <mi>R</mi> <mi>yy</mi> </msub> <mo>=</mo> <mfrac> <mrow> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> <mi>n</mi> </munderover> <msup> <mi>yy</mi> <mi>H</mi> </msup> </mrow> <mi>N</mi> </mfrac> <mo>,</mo> <msub> <mi>R</mi> <mrow> <mi>hh</mi> <mo>,</mo> <mi>d</mi> </mrow> </msub> <mo>=</mo> <mfrac> <mrow> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> <mi>N</mi> </munderover> <msub> <mi>H</mi> <mi>d</mi> </msub> <msubsup> <mi>H</mi> <mi>d</mi> <mi>H</mi> </msubsup> </mrow> <mi>N</mi> </mfrac> <mo>,</mo> </mrow> </math> <math> <mrow> <msub> <mi>R</mi> <mrow> <mi>hh</mi> <mo>,</mo> <mi>I</mi> </mrow> </msub> <mo>=</mo> <mfrac> <mrow> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> <mi>N</mi> </munderover> <msub> <mi>H</mi> <mi>I</mi> </msub> <msubsup> <mi>H</mi> <mi>I</mi> <mi>H</mi> </msubsup> </mrow> <mi>N</mi> </mfrac> <mo>;</mo> </mrow> </math>

According to the formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICalculating to obtain the noise estimation result R_uu。

When the noise estimation result R is obtained_uuWhen it is a non-positive timing matrix, in this R_uuRespectively adding preset correction values to the diagonal elements of R_uuMaking a correction to the corrected R_uuIs a positive definite matrix; finally, the noise estimation result R is used_uuSubsequent detection, CQI measurement, and the like are performed on the wireless signal.

In order to better implement the noise estimation method of the embodiment of the present invention, a user equipment for implementing the noise estimation method is also provided below.

Referring to fig. 6, in an implementation manner of the embodiment of the present invention, the user equipment may include:

a receiving unit 601, configured to receive a wireless signal, where the wireless signal includes: pilot signal y₁；

It should be noted that, in the user equipment, the receiving unit 601 may be embodied as a transceiver, and the receiving unit 601 is coupled to an antenna of the user equipment and receives the radio signal transmitted by the serving cell and/or the interfering cell through the antenna; each unit described later in this embodiment may be integrated in a main chip or a baseband chip of the user equipment, where the main chip refers to a chip including a baseband processor, an application processor, and a multimedia subsystem, and specifically, reference may be made to the prior art, and detailed description is not given here.

A channel estimation unit 602, configured to estimate the channel according to the pilot signal y received by the receiving unit 601₁Respectively carrying out channel estimation on a service cell and an interference cell to obtain a channel estimation matrix H of the service cell_dAnd the channel estimation matrix H of the interfering cell_I；

A first obtaining unit 603, configured to obtain the transmitted pilot signal x of the serving cell_dTransmitting pilot signal x with the interfering cell_I；

A first calculating unit 604 for calculating the x_dAnd the x_IWhen the positions of the time-frequency domain coincide with each other, y is defined as the formula u₁－H_d*x_d－H_I*x_ICalculating to obtain an interference plus noise vector u;

a second calculating unit 605, configured to calculate an interference plus noise covariance matrix uu according to the u obtained by the first calculating unit 604^H；

A first processing unit 606, configured to perform the uu calculated by the second calculating unit 605^HPerforming accumulation and average processing to obtain a noise estimation result R_uu。

It should be noted that the channel estimation unit 602 can perform channel estimation on the serving cell and the interfering cell by one module, or can be divided into two modulesA plurality of module implementations, not constrained herein; wherein the H is obtained_dAnd the H_IThe channel matrix of the pilot position of the serving cell and the channel matrix of the pilot position of the interfering cell are respectively, the number of the interfering cells may be one or more, and the specific number is not limited here; for example, when the number of the interfering cells is two, the channel matrix H of the interfering cell is obtained_I＝H_I0+H_I1(ii) a Similarly, when there are two interfering cells, the transmitted pilot signals of the interfering cells can be respectively represented as x_I0、x_I1。

The result after the accumulation and averaging process isWherein N is R_uuCounting the number of available samples in the region; the processing procedure is equivalent to the expected operation of data, so that the statistical characteristic of interference plus noise can be better reflected.

In the embodiment of the present invention, when x is_dAnd the x_IWhen the positions in the time-frequency domain coincide, the first calculation unit 604 sets u to y according to the formula₁－H_d*x_d－H_I*x_ICalculating to obtain an interference plus noise vector u; the second calculating unit 605 calculates the interference-plus-noise covariance matrix uu according to the u obtained by the first calculating unit 604^H(ii) a The first processing unit 606 performs the uu calculation on the second calculation unit 605^HPerforming accumulation and average processing to obtain a noise estimation result R_uu. Therefore, when the user equipment calculates the noise estimation result by using the wireless signal information of the serving cell and the adjacent interference cell, the interference of the adjacent interference cell is excluded from the noise estimation result, and the noise estimation result can be calculated more accurately, so that when the user equipment performs detection, channel measurement, parameter blind estimation and other work by using the noise estimation result, the system performance of the user equipment and the data transmission rate can be improved.

The above embodiment is based on the transmitted pilot signal x of the serving cell_dWith the stemTransmitting pilot signal x of interference cell_IThe ue is described in a relevant application scenario when the positions of the time-frequency domain coincide, and another scenario of the ue will be described in detail below, referring to fig. 7, optionally, in another implementation manner of the embodiment of the present invention, the wireless signal further includes: data signal y₂The user equipment may further include:

a third calculation unit 701 for calculating x_dAnd the x_IWhen the positions of the time domain and the frequency domain are not coincident, the data signal y received by the receiving unit 601 is used₂The data signal y is obtained by calculation₂Covariance matrix y of₂y₂ ^H；

A second obtaining unit 702, configured to obtain a power ratio P of a transmission data signal and a transmission pilot signal of the serving cell_dAnd the power ratio P of the transmitted data signal to the transmitted pilot signal of the interfering cell_I；

A fourth calculating unit 703 for calculating the H obtained by the channel estimating unit 602_dCalculating to obtain a channel covariance matrix H of the serving cell_dH_d ^HAnd the H obtained from the channel estimation unit 602_ICalculating to obtain a channel estimation covariance matrix H of the interference cell_IH_I ^H；

A second processing unit 704, configured to apply the y calculated by the third calculating unit 701₂y₂ ^HPerforming accumulation and average processing to obtain a first accumulation result R_yyH calculated by the fourth calculation unit 703_dH_d ^HPerforming accumulation and average processing to obtain a second accumulation result R_hh,dAnd H calculated by the fourth calculation unit 703_IH_I ^HPerforming accumulation and average processing to obtain a third accumulation result R_hh,I；

A fifth calculating unit 705 for calculating according to the formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICalculating to obtain the noise estimation result R_uu。

It should be noted that the result after the integration and the average processing is respectively N is the number of available samples in the statistical region, and the processing process is equivalent to the expected operation of data, so that the statistical characteristic of interference plus noise can be reflected better; the noise estimation result R_uuThe calculation method comprises the following steps: by this y₂y₂ ^HA first summation result R obtained after the summation and averaging processing is carried out_yySubtracting the second summation result R_hh,dTo power ratio P_dIs multiplied by the sum of the first and second summation results R_hh,ITo power ratio P_IThe product of (a).

In the embodiment of the present invention, when x is_dAnd the x_IWhen the positions of the time-frequency domain do not coincide, the third calculating unit 701 calculates the data signal y according to the data signal y received by the receiving unit 601₂The data signal y is obtained by calculation₂Covariance matrix y of₂y₂ ^H(ii) a The second obtaining unit 702 obtains the power ratio P of the transmitted data signal and the transmitted pilot signal of the serving cell_dAnd the power ratio P of the transmitted data signal to the transmitted pilot signal of the interfering cell_I(ii) a The fourth calculating unit 703 obtains H according to the channel estimating unit 602_dCalculating to obtain a channel covariance matrix H of the serving cell_dH_d ^HAnd H obtained from the channel estimation unit 602_ICalculating to obtain a channel estimation covariance matrix H of the interference cell_IH_I ^H(ii) a The second processing unit 704 performs y calculation on the obtained y calculated by the third calculating unit 701₂y₂ ^HPerforming accumulation and average processing to obtain a first accumulation result R_yyH calculated by the fourth calculation unit 703_dH_d ^HPerforming accumulation and average processing to obtain a second accumulation result R_hh,dAnd H calculated by the fourth calculation unit 703_IH_I ^HPerforming accumulation and average processing to obtain a third accumulation result R_hh,I(ii) a The fifth calculating unit 705 is based on the formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICalculating to obtain the noise estimation result R_uu. Therefore, when x is_dAnd the x_IWhen the positions of the time domain and the frequency domain are not coincident, the user equipment excludes the interference of the adjacent interference cell from the noise estimation result when calculating the noise estimation result by using the wireless signal information of the service cell and the adjacent interference cell, and can accurately calculate the noise estimation result, so that the system performance of the user equipment and the data transmission rate can be improved when the user equipment performs detection, channel measurement, parameter blind estimation and other work by using the noise estimation result.

Optionally, as shown in fig. 8, in another implementation manner of the embodiment of the present invention, the fifth calculating unit 705 specifically includes:

a modification module 801, configured to modify the power according to a preset first power factor P_Extra1And a second power factor P_Extra2For formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICorrecting;

in this embodiment, the following detection, channel measurement, parameter blind estimation, and other operation requirements R are met_uuThe matrix is determined positively, otherwise, channel measurement errors and other problems may be caused, and therefore, in the present embodiment, the preset first power factor P is adopted_Extra1And a second power factor P_Extra2For formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_IThe correction is made with the aim of preventing the calculated R due to channel estimation inaccuracies_uuIs not true.

A calculating module 802 for calculating the formula R according to the modified formula R_uu＝R_yy－R_hh,d×P_d×P_Extra1－R_hh,I×P_I×P_Extra2Calculating to obtain the R_uuSo that R is_uuIs a positive definite matrix.

Note that, the noise estimation result R is_uuThe calculation method comprises the following steps: by y₂y₂ ^HA first summation result R obtained after the summation and averaging processing is carried out_yySubtracting the second summation result R_hh,dTo power ratio P_dAnd a first power factor P_Extra1Is multiplied by the sum of the first and second summation results R_hh,ITo power ratio P_IAnd a second power factor P_Extra2The product of (a); normally, the first power factor P_Extra1And a second power factor P_Extra2May be an empirical value less than 1, so that the formula R is used_uu＝R_yy－R_hh,d×P_d×P_Extra1－R_hh,I×P_I×P_Extra2Calculating the R_uuWhen the R is not present_yySubtracting a smaller value from each element on the diagonal to calculate the R_uuThe elements on the diagonal are positive values, so that R is positive_uuIs a positive definite matrix; of course, in order to make the final calculation more accurate, the R is guaranteed_uuOn the premise of positive determination, the first power factor P_Extra1And a second power factor P_Extra2The empirical value may be greater than 1, and may be determined by means of simulation, test, and the like, which is not limited herein.

In the embodiment of the present invention, the modification module 801 is according to a preset first power factor P_Extra1And a second power factor P_Extra2For formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICorrecting; the calculation module 802 calculates the formula R according to the modified formula_uu＝R_yy－R_hh,d×P_d×P_Extra1－R_hh,I×P_I×P_Extra2Calculating to obtain R_uuSo that R is_uuIs a positive definite matrix.

Optionally, as shown in fig. 9, in another embodiment implemented by the present invention, the user equipment may further include:

a correction unit 901 for correcting the R_uuWhen it is a non-positive timing matrix, in this R_uuRespectively adding preset correction values to the diagonal elements of R_uuMaking a correction to the corrected R_uuIs a positive definite matrix.

In the embodiment of the invention, when R is_uuWhen the correction unit 901 is not a positive timing matrix, the correction unit is set to the R_uuRespectively adding preset correction values to the diagonal elements of R_uuMaking a correction to the corrected R_uuIs a positive definite matrix to prevent channel estimation inaccuracy.

Optionally, as shown in fig. 10, in another implementation manner of the embodiment of the present invention, the user equipment may further include:

detection unit 1001 for using R_uuThe wireless signal is detected.

In the embodiment of the present invention, the detecting unit 1001 uses R_uuSubsequent detection and CQI measurement are performed on the wireless signal, thereby facilitating statistics.

The embodiments shown in fig. 6 to 10 explain the specific structure of the user equipment from the perspective of the functional unit, and the following describes the specific structure of the user equipment from the perspective of hardware in conjunction with the embodiment shown in fig. 11:

as shown in fig. 11, the user equipment includes: a transceiver 1101, a baseband processor 1102, and a memory 1103.

Embodiments of the present invention relate to user equipment that may have more or fewer components than shown in fig. 11, may combine two or more components, or may have different configurations or arrangements of components, and each component may be implemented in hardware, software, or a combination of hardware and software, including one or more signal processing and/or application specific integrated circuits.

The receiver 1101 is used for

Receiving a wireless signal, the wireless signal comprising: pilot signal y₁；

The baseband processor 1102 is configured to read instructions stored in the memory 1103 to perform the following operations:

according to y₁Respectively carrying out channel estimation on a service cell and an interference cell to obtain a channel matrix H of the service cell_dAnd the channel matrix H of the interfering cell_I；

Acquiring the transmitting pilot signal x of the service cell_dAnd the transmitted pilot signal x of the interfering cell_I；

When the x is_dAnd the x_IWhen the positions of the time-frequency domain coincide with each other, y is defined as the formula u₁－H_d*x_d－H_I*x_ICalculating to obtain an interference plus noise vector u;

calculating to obtain an interference plus noise covariance matrix uu according to the u^H；

For the uu^HPerforming accumulation and average processing to obtain a noise estimation result R_uu；

The wireless signal further includes: data signal y₂The baseband processor 1102 is further configured to perform the following operations:

when the x is_dAnd the x_IWhen the positions of the time-frequency domains do not coincide with each other, y is determined based on the position₂Calculate y to obtain₂Covariance matrix y of₂y₂ ^H；

Obtaining the power ratio P of the transmitting data signal and the transmitting pilot signal of the service cell_dAnd the power ratio P of the transmitted data signal to the transmitted pilot signal of the interfering cell_I；

According to the H_dCalculating to obtain a channel covariance matrix H of the serving cell_dH_d ^HAnd according to this H_ICalculating to obtain a channel covariance matrix H of the interference cell_IH_I ^H；

For y₂y₂ ^HPerforming accumulation and average processing to obtain a first accumulation result R_yyTo H_dH_d ^HPerforming accumulation and average processing to obtain a second accumulation result R_hh,dAnd to H_IH_I ^HPerforming accumulation and average processing to obtain a third accumulation result R_hh,I；

According to the formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICalculating to obtain the noise estimation result R_uu；

The baseband processor 1102 is specifically configured to perform the following operations:

according to a preset first power factor P_Extra1And a second power factor P_Extra2For formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICorrecting;

according to the modified formula R_uu＝R_yy－R_hh,d×P_d×P_Extra1－R_hh,I×P_I×P_Extra2Calculating to obtain the R_uuSo that R is_uuIs a positive definite matrix;

the baseband processor 1102 is further configured to perform the following operations:

when R is in_uuWhen it is a non-positive timing matrix, in this R_uuRespectively adding preset correction values to the diagonal elements of R_uuMaking a correction to the corrected R_uuIs a positive definite matrix;

the baseband processor 1102 is further configured to perform the following operations:

by means of R_uuThe wireless signal is detected.

In the embodiment of the present invention, when x is_dAnd the x_IWhen the positions of the time-frequency domain coincide, the baseband processor 1102 sets the formula u to y₁－H_d*x_d－H_I*x_ICalculating to obtain an interference plus noise vector u; and calculating to obtain an interference plus noise covariance matrix uu according to the u^HAnd for the uu^HPerforming accumulation and average processing to obtain a noise estimation result R_uu(ii) a When the x is_dAnd the x_IWhen the positions of the time-frequency domains do not coincide with each other, y is determined based on the position₂Calculate y to obtain₂Covariance matrix y of₂y₂ ^H(ii) a According to the H_dCalculating to obtain a channel covariance matrix H of the serving cell_dH_d ^HAnd according to this H_ICalculating to obtain a channel covariance matrix H of the interference cell_IH_I ^H(ii) a And for y₂y₂ ^HPerforming accumulation and average processing to obtain a first accumulation result R_yyTo the H_dH_d ^HPerforming accumulation and average processing to obtain a second accumulation result R_hh,dAnd to the same H_IH_I ^HPerforming accumulation and average processing to obtain a third accumulation result R_hh,I(ii) a Finally according to the formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICalculating to obtain the noise estimation result R_uu. Therefore, the interference plus noise can be accurately estimated by using the wireless signal information of the serving cell and the interfering cell, thereby improving the system performance of the user equipment and the transmission rate of data.

In combination with the ue in the above embodiments, it can be understood that, in practical applications, the ue can determine whether the serving cell collides with the pilot of the interfering cell (the transmitted pilot signal x of the serving cell)_dTransmitting pilot signal x with the interfering cell_IWhether the positions of the time domain and the frequency domain coincide) to select a noise estimation mode under a corresponding scene; if the service isThe pilot frequency collision between the cell and the interference cell is in dynamic change in a period of time, and then the user equipment can also perform corresponding switching according to the dynamic change so as to improve the accuracy of noise estimation; the specific structure can be referred to the content, and is not described in detail herein.

The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A method of noise estimation, comprising:

receiving a wireless signal, the wireless signal comprising: pilot signal y₁；

According to the y₁Respectively carrying out channel estimation on a service cell and an interference cell to obtain a channel matrix H of the service cell_dAnd a channel matrix H of the interfering cell_I；

Acquiring the transmitted pilot signal x of the serving cell_dAnd a transmission pilot signal x of the interfering cell_I；

When said x is_dAnd said x_IWhen the positions of the time-frequency domain coincide with each other, y is defined as the formula u₁－H_d*x_d－H_I*x_ICalculating to obtain an interference plus noise vector u;

calculating to obtain an interference plus noise covariance matrix uu according to the u^H；

For the uu^HPerforming accumulation and average processing to obtain a noise estimation result R_uu。

2. The noise estimation method of claim 1, wherein the wireless signal further comprises: data signal y₂The method further comprises the following steps:

when said x is_dAnd said x_IWhen the positions of the time-frequency domain are not coincident, according to the y₂Calculating to obtain the y₂Covariance matrix y of₂y₂ ^H；

Obtaining the power ratio P of the transmitting data signal and the transmitting pilot signal of the service cell_dAnd the power ratio P of the transmitted data signal to the transmitted pilot signal of the interfering cell_I；

According to said H_dCalculating to obtain a channel covariance matrix H of the serving cell_dH_d ^HAnd according to said H_ICalculating to obtain a channel covariance matrix H of the interference cell_IH_I ^H；

For the y₂y₂ ^HPerforming accumulation and average processing to obtain a first accumulation result R_yyTo said H_dH_d ^HPerforming accumulation and average processing to obtain a second accumulation result R_hh,dAnd to said H_IH_I ^HPerforming accumulation and average processing to obtain a third accumulation result R_hh,I；

According to the formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICalculating to obtain the noise estimation result R_uu。

3. The noise estimation method according to claim 2, characterized in that said estimation is according to formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICalculating to obtain the noise estimation result R_uuThe method comprises the following steps:

according to a preset first power factor P_Extra1And a second power factor P_Extra2For formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICorrecting;

according to the modified formula R_uu＝R_yy－R_hh,d×P_d×P_Extra1－R_hh,I×P_I×P_Extra2Calculating to obtain the R_uuSo that said R is_uuIs a positive definite matrix.

4. The noise estimation method of claim 2, wherein the noise estimation method is based on formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICalculating to obtain the noise estimation result R_uuThen, the method further comprises the following steps:

when said R is_uuWhen it is a non-positive timing matrix, in said R_uuRespectively adding preset correction values to the diagonal elements of R_uuMaking a correction so that the corrected R_uuIs a positive definite matrix.

5. The noise estimation method according to any one of claims 1 to 4, characterized in that the method further comprises:

by means of R_uuAnd detecting the wireless signal.

6. A user device, comprising:

a receiving unit configured to receive a wireless signal, the wireless signal including: pilot signal y₁；

A channel estimation unit for estimating the channel according to the y received by the receiving unit₁Respectively carrying out channel estimation on a service cell and an interference cell to obtain a channel estimation matrix H of the service cell_dAnd a channel estimation matrix H of the interfering cell_I；

A first obtaining unit, configured to obtain a transmission pilot signal x of the serving cell_dTransmitting pilot signal x with the interfering cell_I；

A first calculation unit for calculating x_dAnd said x_IWhen the positions of the time-frequency domain coincide with each other, y is defined as the formula u₁－H_d*x_d－H_I*x_ICalculating to obtain an interference plus noise vector u;

a second calculating unit, configured to calculate an interference-plus-noise covariance matrix uu according to the u obtained by the first calculating unit^H；

A first processing unit for calculating the uu obtained by the second calculation unit^HPerforming accumulation and average processing to obtain a noise estimation result R_uu。

7. The user equipment of claim 6, wherein the wireless signal further comprises: data signal y₂The user equipment further comprises:

a third calculation unit for calculating x_dAnd said x_IWhen the positions of the time domain and the frequency domain are not coincident, the y received by the receiving unit is used for₂Calculating to obtain the y₂Covariance matrix y of₂y₂ ^H；

A second obtaining unit, configured to obtain a power ratio P of a transmission data signal and a transmission pilot signal of the serving cell_dAnd the power ratio P of the transmitted data signal to the transmitted pilot signal of the interfering cell_I；

A fourth calculation unit for calculating H_dCalculating to obtain a channel covariance matrix H of the serving cell_dH_d ^HAnd according to said H_ICalculating to obtain a channel estimation covariance matrix H of the interference cell_IH_I ^H；

A second processing unit for processing the y₂y₂ ^HPerforming accumulation and average processing to obtain a first accumulation result R_yyTo said H_dH_d ^HPerforming accumulation and average processing to obtain a second accumulation result R_hh,dAnd to said H_IH_I ^HPerforming accumulation and average processing to obtain a third accumulation result R_hh,I；

A fifth calculation unit for calculating R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICalculating to obtain the noise estimation result R_uu。

8. The UE of claim 7, wherein the fifth calculating unit comprises:

a modification module for modifying the power according to a preset first power factor P_Extra1And a second power factor P_Extra2For formula R_uu＝R_yy－R_hh,d×P_d－R_hh,I×P_ICorrecting;

a calculation module for calculating the formula R according to the corrected formula R_uu＝R_yy－R_hh,d×P_d×P_Extra1－R_hh,I×P_I×P_Extra2Calculating to obtain the R_uuSo that said R is_uuIs a positive definite matrix.

9. The UE of claim 7, further comprising:

a correction unit for correcting when R is_uuWhen it is a non-positive timing matrix, in said R_uuRespectively adding preset correction values to the diagonal elements of R_uuMaking a correction so that the corrected R_uuIs a positive definite matrix.

10. The user equipment according to any of claims 6 to 9, wherein the user equipment further comprises:

a detection unit for using R_uuAnd detecting the wireless signal.