CN107306145B

CN107306145B - Noise estimation method and device

Info

Publication number: CN107306145B
Application number: CN201610243173.5A
Authority: CN
Inventors: 曾培; 邱杰锋
Original assignee: Sanechips Technology Co Ltd
Current assignee: Sanechips Technology Co Ltd
Priority date: 2016-04-18
Filing date: 2016-04-18
Publication date: 2021-04-06
Anticipated expiration: 2036-04-18
Also published as: CN107306145A

Abstract

The embodiment of the invention discloses a noise estimation method, which comprises the following steps: acquiring original position information of an RS in an RB to be processed; acquiring mapping position information corresponding to the original position information of the RS in the RB to be processed according to a preset mapping template; the preset mapping template is used for enabling mapping position information corresponding to original position information of RSs of different parameters RB to be the same; generating an RS noise estimation matrix corresponding to the position information mapped by the RS in the RB to be processed according to a preset RS noise variance estimation algorithm and the conjugate property of the RS noise estimation matrix; and obtaining an RS noise estimation result according to the RS noise estimation matrix and a preset filtering algorithm. The embodiment of the invention also discloses a noise estimation device.

Description

Noise estimation method and device

Technical Field

The present invention relates to the field of wireless communication technologies, and in particular, to a noise estimation method and apparatus.

Background

The Long Term Evolution-Advanced (LTE-a) is the Evolution of the 4G technology, and Orthogonal Frequency Division Multiplexing (OFDM) and Multiple Input Multiple Output (MIMO) technologies are key technologies thereof. In OFDM technology, the variation of the channel in the time and frequency domains is generally determined by using an estimate of the Reference Signal (RS) channel. The MIMO technology is used to transmit and receive signals through a plurality of antennas of a transmitting terminal and a receiving terminal using a plurality of transmitting antennas and receiving antennas, respectively, thereby improving communication quality.

During the transmission of the signal in the channel, the noise needs to be estimated. However, in the prior art, complicated steps are required to determine the position of the RS, a large amount of storage resources are required, and the complexity of calculation time is high.

Disclosure of Invention

In order to solve the above technical problems, embodiments of the present invention desirably provide a noise estimation method and apparatus, which implement unification of RS position information under different conditions, simplify calculation by using matrix characteristics, and save storage resources.

The technical scheme of the invention is realized as follows:

in a first aspect, an embodiment of the present invention provides a noise estimation method, where the method includes:

acquiring original position information of an RS in an RB to be processed;

acquiring mapping position information corresponding to the original position information of the RS in the RB to be processed according to a preset mapping template; the preset mapping template is used for enabling the mapping position information corresponding to the original position information of the RSs of different RS position attribute parameters RB to be the same;

generating an RS noise estimation matrix corresponding to the position information mapped by the RS in the RB to be processed according to a preset RS noise variance estimation algorithm and the conjugate property of the RS noise estimation matrix;

and obtaining an RS noise estimation result according to the RS noise estimation matrix and a preset filtering algorithm.

In the above solution, the RS location attribute parameter includes: transmit port number, Vshift, and CP mode;

correspondingly, the obtaining of the mapping position information corresponding to the original position information of the RS in the RB to be processed according to the preset mapping template includes:

when the emission port number and Vshift in the RB to be processed are the same as a preset mapping template and the CP mode of the RB to be processed is an Extended CP mode, modifying a time symbol counting mode in the RB to be processed, and replacing original position information of an RS in the RB to be processed with mapping position information which corresponds to the same position as the RS position of the first mapping template; the preset mapping template is original position information of an RS in an RB, wherein the CP mode is a Normal CP mode, the emission port number is port0, and Vshift is zero;

when the emission port number and the CP mode in the RB to be processed are the same as the preset mapping template and the Vshift is different from the preset second mapping template, according to the value of the Vshift, the value of the state is modified correspondingly, and the RS original position information in the RB to be processed is replaced by the mapping position information corresponding to the RS position of the second mapping template.

In the foregoing solution, the generating, according to a preset noise variance estimation algorithm of the RS and a conjugate property of an RS noise estimation matrix, an RS noise estimation matrix corresponding to position information mapped by the RS in the RB to be processed includes:

determining a preset noise variance estimation algorithm of the RS;

obtaining an upper triangular matrix of an RS noise estimation matrix corresponding to the position information mapped by the RS in the RB to be processed according to the preset noise variance estimation algorithm of the RS;

obtaining a corresponding lower triangular matrix by utilizing the upper triangular matrix according to the conjugate property of the RS noise estimation matrix;

forming the RS noise estimation matrix by the upper triangular matrix and the corresponding lower triangular matrix;

or,

determining a preset noise variance estimation algorithm of the RS;

obtaining a lower triangular matrix of an RS noise estimation matrix corresponding to the position information mapped by the RS in the RB to be processed according to a preset RS noise variance estimation algorithm;

obtaining a corresponding upper triangular matrix by utilizing the lower triangular matrix according to the conjugate property of the RS noise estimation matrix;

and forming an RS noise estimation matrix by the lower triangular matrix and the corresponding upper triangular matrix.

In the above solution, the determining a preset noise variance estimation algorithm of the RS includes:

performing time domain interpolation calculation on the RS subjected to descrambling processing, and then performing frequency domain interpolation calculation;

and dividing the mean square error of the RS time domain interpolation and the frequency domain interpolation by a correction factor to be used as the preset noise variance estimation algorithm of the RS.

In the foregoing scheme, the obtaining an RS noise estimation result according to the RS noise estimation matrix and a preset filtering algorithm includes:

carrying out average calculation on the RS noise estimation matrix in an approximate multiplication mode; and directly using a coefficient configured by upper-layer software to perform complex multiplication on the result after the average calculation, and sequentially performing compensation calculation and forgetting filtering to obtain the RS noise estimation result.

In a second aspect, an embodiment of the present invention provides a noise estimation apparatus, including: the device comprises an acquisition module, a mapping module, a generation module and a filtering module; wherein,

the acquisition module is used for acquiring the original position information of the RS in the RB to be processed;

the mapping module is used for acquiring mapping position information corresponding to the original position information of the RS in the RB to be processed according to a preset mapping template; the preset mapping template is used for enabling mapping position information corresponding to original position information of RSs of different parameters RB to be the same;

the generation module is used for generating an RS noise estimation matrix corresponding to the position information mapped by the RS in the RB to be processed according to a preset RS noise variance estimation algorithm and the conjugate property of the RS noise estimation matrix;

and the filtering module is further used for acquiring an RS noise estimation result according to the RS noise estimation matrix and a preset filtering algorithm.

In the above scheme, the mapping module includes a modification sub-module and a replacement sub-module; wherein,

the modification submodule is used for modifying a time symbol counting mode in the RB to be processed when a transmitting port number and Vshift in the RB to be processed are the same as a preset first mapping template and a CP mode of the RB to be processed is an Extended CP mode;

the replacing submodule is used for replacing the original position information of the RS in the RB to be processed with the mapping position information which corresponds to the same position as the RS of the first mapping template; the preset first mapping template is original position information of an RS under a Normal CP mode;

the modification submodule is also used for correspondingly modifying the value of the state according to the value of Vshift when the emission port number and the CP mode in the RB to be processed are the same as the preset second mapping template and the Vshift is different from the preset second mapping template;

the replacing submodule is further used for replacing the RS original position information in the RB to be processed with the mapping position information corresponding to the same RS position of the second mapping template; and the preset second mapping template is the original position information of the RS when Vshift is 0.

In the above scheme, the generating module includes a determining submodule and a calculating submodule; wherein,

the determining submodule is used for determining a preset noise variance estimation algorithm of the RS;

the calculation submodule is used for obtaining an upper triangular matrix of an RS noise estimation matrix corresponding to the position information mapped by the RS in the RB to be processed according to the preset noise variance estimation algorithm of the RS;

and obtaining a corresponding lower triangular matrix by utilizing the upper triangular matrix according to the conjugate property of the RS noise estimation matrix;

and forming the RS noise estimation matrix by the upper triangular matrix and the corresponding lower triangular matrix;

or,

the calculation submodule is used for obtaining a lower triangular matrix of an RS noise estimation matrix corresponding to the position information mapped by the RS in the RB to be processed according to a preset noise variance estimation algorithm of the RS;

and obtaining a corresponding upper triangular matrix by utilizing the lower triangular matrix according to the conjugate property of the RS noise estimation matrix;

In the above scheme, the determining submodule is configured to perform time domain interpolation calculation on the descrambled RS, and then perform frequency domain interpolation calculation on the descrambled RS;

In the foregoing solution, the filtering module is specifically configured to perform average calculation on the RS noise estimation matrix in an approximate multiplication manner; and directly using a coefficient configured by upper-layer software to perform complex multiplication on the result after the average calculation, and sequentially performing compensation calculation and forgetting filtering to obtain the RS noise estimation result.

The embodiment of the invention provides a noise estimation method and a noise estimation device, which are used for mapping position information of an RS (reference signal) to the same position under different conditions, reducing the calculation time by utilizing the property of matrix conjugation and saving the storage resource.

Drawings

Fig. 1 is a flowchart illustrating a method for noise estimation according to an embodiment of the present invention;

fig. 2 is a schematic diagram of the RS original location information when Vshift and the transmission port are the same and the CP mode is different according to the first embodiment of the present invention;

fig. 3 is a schematic diagram of RS mapping location information when Vshift and a transmission port are the same and CP modes are different according to the first embodiment of the present invention;

fig. 4 is a schematic diagram of the CP mode and the transmitting port being the same, and the vshifts being different from the RS original location information according to the first embodiment of the present invention;

fig. 5 is a schematic diagram of the same CP mode and transmission port, and different vshifts are RS mapping location information according to the first embodiment of the present invention;

fig. 6 is a schematic flowchart of a mapping position information process corresponding to original position information of an RS obtained according to a preset template according to an embodiment of the present invention;

fig. 7 is a schematic diagram of an RS noise estimation matrix according to an embodiment of the present invention;

fig. 8 is a schematic structural diagram of a noise estimation apparatus according to a second embodiment of the present invention;

fig. 9 is a schematic structural diagram of a mapping module according to a second embodiment of the present invention;

fig. 10 is a schematic structural diagram of a generating module according to a second embodiment of the present invention.

Detailed Description

The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

In LTE-a, the mapping positions of RSs under a standard Cyclic Prefix (Normal CP) and an extended Cyclic Prefix (extended CP) are different, so that the positions of RSs under different conditions need to be determined first, and then the noise of the RS needs to be estimated, which is tedious in implementation process. The basic idea of the embodiment of the invention is to preprocess the symbol index in advance before detecting the position of the RS according to the position characteristics of the RS in different modes, so as to realize that the positions of RS mapping in Normal CP and Extended CP modes are the same. And the matrix characteristic is utilized to reduce the processing time and save a large amount of storage resources, so that the method is suitable for application under different conditions.

Example one

Referring to fig. 1, it is shown that an embodiment of the present invention provides a noise estimation method, which may include:

s101: and acquiring the original position information of the RS in the RB to be processed.

In the frame structure of LTE-a, one Resource Block (RB) has a bandwidth of 180KHz, and is composed of 12 subcarriers having a bandwidth of 15KHz, and one 0.5ms slot in the time domain. One time slot of Normal CP can transmit 7 OFDM, and one time slot of extended CP can transmit 6 OFDM.

The position information of the RS in different RBs is also different, so the original position information of the RS in the RB to be processed is acquired first.

S102: acquiring mapping position information corresponding to original position information of an RS in an RB to be processed according to a preset mapping template;

and the preset mapping template is used for enabling the mapping position information corresponding to the original position information of the RS of different parameters RB to be the same.

As known from the LTE-a protocol, parameters for determining the location of an RS in an RB are related to a CP mode, a symbol number, a transmission port number, and Vshift, and thus, the parameters of different RBs include the CP mode, the symbol number, the transmission port number, and the Vshift. It should be noted that the CP mode may include Normal CP and Extended CP; vshift represents the offset of the current state value.

Note that, as shown in fig. 2 and 4, since the position of the RS is different in the RB with different parameters, the position of the RS is different in the case of different CP modes and different vshifts in the related art. Due to the difference of the RS positions, the RS positions under different conditions need to be determined respectively, and then the noise of the RS needs to be estimated respectively. In the embodiment, through step S102, different positions can be mapped to the same position, thereby simplifying the calculation process of noise estimation.

Preferably, in a specific implementation process, the location information of the RS in the RB corresponding to the different parameters is mapped to the same location information, referring to fig. 6, which may specifically include S1021 and S1022:

s1021, when the emission port number and Vshift in the RB to be processed are the same as those of a preset first mapping template and the CP mode of the RB to be processed is an Extended CP mode, modifying a time symbol counting mode in the RB to be processed, and replacing original position information of an RS in the RB to be processed with mapping position information which corresponds to the same position as that of the RS in the first mapping template; the preset first mapping template is original position information of the RS under a Normal CP mode.

When the transmission port number is the same as Vshift and the CP pattern is different, the position of RS is not the same as shown in fig. 2. When the transmitting port number is 0, the port of the RS is R₀Here, the transmission Port number is 0, that is, Port0 is taken as an example for explanation. As can be seen from fig. 2(a), in the Normal CP mode, RS is present only when L is 0, state is 0, L is 4, and state is 3, and as can be seen from fig. 2(b), in the Extended CP mode, RS is present only when L is 0, state is 0, L is 3, and state is 3, where L denotes a time symbol, state denotes a subcarrier state value, and R denotes a subcarrier state value₀Indicating where the RS is located. From a comparison of fig. 2(a) and (b), it can be seen that the RS is on the same subcarrier at different time symbols.

Based on the above principle, when the transmitting port number is the same as Vshift and the CP mode is different, the embodiment of the present invention detects the position information of the RS by using the following method:

there are 14 time symbol counts in Normal CP mode, respectively denoted as 0, 1, 2, 3, 4, 5, 6, and 12 time symbol counts in Extended CP mode, respectively denoted as 0, 1, 2, 3, 4, 5, 0, 1, 2, 3, 4, 5. When the transmitting port number is the same as Vshift and the CP mode is different, the position information of the RS in the Normal CP mode is used as a preset first mapping template, the time symbol counting in the Extended CP mode is correspondingly modified, the position information of the RS is correspondingly mapped, and the position information of the RS in the Normal CP mode is the same as that in the Extended CP mode. As shown in fig. 3(d), when Port0 sets Vshift to 0, the time symbol count in Extended CP mode is changed from 0, 1, 2, 3, 4, 5 to 0, 1, 2, 4, 5, 6. As can be seen from comparison between fig. 3(c) and (d), after the symbol count in the Extended CP mode is changed, the RS appears at the positions of L-0, state-0, L-4, and state-3 in the two different CP modes, so that the RS positions of the two CP modes are mapped to the same position information.

S1022, when the emission port number and the CP mode in the RB to be processed are the same as the preset second mapping template and the Vshift is different from the preset second mapping template, according to the value of the Vshift, the value of the state is modified correspondingly, and the RS original position information in the RB to be processed is replaced by the mapping position information which is corresponding to the RS position of the second mapping template; and the preset second mapping template is the original position information of the RS when Vshift is 0.

When the transmission port number is the same as the CP mode and Vshift is different, the position of RS is also different, as shown in fig. 4. Here, the transmission Port number is also 0, i.e., Port0, for example. As can be seen from fig. 4(e), RS is present only when Vshift is 0, state is 0, L is 4, and state is 3, and as can be seen from fig. 4(f), RS is present only when Vshift is 1, L is 0, state is 1, L is 4, and state is 4. From a comparison of fig. 4(e) and (f), it can be seen that the RS is on different subcarriers of the same time symbol.

Based on the above principle, when the transmission port number is the same as the CP mode and Vshift is different, the embodiment of the present invention detects the position information of the RS by using the following method:

according to different values of Vshift, different initial states are given to the state. And taking the RS position information when the Vshift is equal to 0 as a preset second mapping template, correspondingly modifying the state according to the value of the Vshift, and correspondingly mapping the RS position information, so that the RS position information is the same when the Vshift is different from the RS position information when the Vshift is equal to 0. As shown in fig. 5(h), in the Normal CP mode, when Port0 sets Vshift to 1, the initial state of state is shifted up by an offset amount. After the initial state of the state is changed, as can be seen from comparison between fig. 5(g) and (h), RS appears at positions where L is 0, state is 0, L is 4, and state is 3, so that mapping of RS positions of different vshifts to the same position information is achieved.

It can be understood that, according to the elicitation of the technical solution of this embodiment, a person skilled in the art may replace the original position of the RS in the RB to be processed with the mapping position information in other ways, which is not described herein again.

After mapping the position information of the RS in the RB corresponding to different parameters to the same position information, the noise estimation may be performed on the RS under the condition of different parameters, so the embodiment of the method further includes:

s103, generating an RS noise estimation matrix corresponding to the position information mapped by the RS in the RB to be processed according to a preset RS noise variance estimation algorithm and the conjugate property of the RS noise estimation matrix.

In a specific implementation process, step S103 may include:

determining a preset noise variance estimation algorithm of the RS; obtaining an upper triangular matrix of an RS noise estimation matrix corresponding to the position information mapped by the RS in the RB to be processed according to a preset RS noise variance estimation algorithm; obtaining the other half of the corresponding lower triangular matrix by utilizing the upper triangular matrix according to the conjugate property of the RS noise estimation matrix; and forming the RS noise estimation matrix by the upper triangular matrix and the other half of the corresponding lower triangular matrix.

Or step S103 may further include:

determining a preset noise variance estimation algorithm of the RS; obtaining a lower triangular matrix of an RS noise estimation matrix corresponding to the position information mapped by the RS in the RB to be processed according to a preset RS noise variance estimation algorithm; obtaining the other half of corresponding upper triangular matrix by using the lower triangular matrix according to the conjugate property of the RS noise estimation matrix; and forming the RS noise estimation matrix by the lower triangular matrix and the other half of the corresponding upper triangular matrix.

In LTE-a, the RS is scrambled, and the scrambling is mainly aimed at randomizing the interference signal, scrambling with a cell-specific scrambling sequence at the transmitting end, and descrambling at the receiving end, so that the scrambled RS needs to be descrambled accordingly.

The noise variance estimation algorithm for determining the preset RS specifically includes: performing time domain interpolation calculation on the RS subjected to descrambling processing, and then performing frequency domain interpolation calculation; and dividing the mean square error of the obtained RS time domain interpolation and frequency domain interpolation by a correction factor to be used as the noise variance estimation value of the RS.

The noise variance estimate of the RS is represented by equation (1):

wherein LS represents a least squares method; MMSE represents the minimum mean square error; the matrix H represents the impulse response of the pulse signal; l and m respectively denote the rows and columns of the matrix H; m ∈ { Pilot } represents the positions of all reference signals; beta is a correction factor, generally 0 < beta < 1.

The estimation of RS noise during precoding is represented by a matrix R, each element of which corresponds to the mean square error of RS time domain interpolation and frequency domain interpolation, respectively, and the LTE-a system can support 1, 2 and 4 antenna transmission modes, so that the maximum R matrix is a 4 × 4 matrix, as shown in fig. 7. In this embodiment, each element of the matrix may be understood as an antenna, wherein the first and third rows may be understood as receiving antennas, and the second and fourth rows may be understood as transmitting antennas.

The noise variance value of each element in the RS noise estimation matrix R is calculated according to equation (1). In a general processing procedure according to system requirements, a variance result needs to be obtained in one clock cycle, 16 multipliers and 32 subtractors are needed, and 16 addresses are needed for one R matrix in a final storage procedure. This embodiment is obtained by comparing R01 and R10, where R01 and R10 are represented by formulas (2) and (3), respectively:

through comparison, it can be found that R01 and R10 are conjugate with each other, only R01 is required to be calculated in the calculation process, and the value of R10 is not required to be calculated, and the result output by R10 is only the result of conjugate calculation of R01. Similarly, R02, R20, R03, R30, R12, R21, R13, R31, R23, and R32 are all conjugate to each other, so that the final calculation only needs to calculate the upper triangular matrix, and 16 elements do not need to be calculated one by one. Similarly, only the lower triangular matrix can be calculated during the final calculation, and the lower triangular matrix obtains the other corresponding half of the triangular matrix by using the conjugate property of the RS noise estimation matrix. Therefore, through conjugate operation, the number of multipliers is reduced to 10, the number of subtracters is reduced to 20, each R matrix only needs to store data of 10 addresses, a large number of resources are reduced, and the storage speed is correspondingly increased.

And S104, acquiring an RS noise estimation result according to the RS noise estimation matrix and a preset filtering algorithm.

In a specific implementation process, step S104 may include:

carrying out average calculation on the RS noise estimation matrix in an approximate multiplication mode; and (4) directly using a coefficient configured by upper-layer software to perform complex multiplication on the result after the average calculation, and sequentially performing compensation calculation and forgetting filtering to obtain an RS noise estimation result.

It should be noted that, in the specific implementation process of step S104, after the RS noise estimation matrix is generated, the RS noise estimation matrix is averaged, and since the calculation cost of the multiplier and the divider is large and the calculation cost of the adder and the subtractor is small, the embodiment of the present invention performs averaging by using a processing method of approximate multiplication on the premise of ensuring that the accuracy is within a certain range. The most common way of average calculation is to directly perform arithmetic averaging on the accumulated result, and the calculation cost of the divider is large in the process of performing arithmetic averaging, so that the average calculation is converted into an addition expression similar to multiplication, and the calculation is performed by using an addition arithmetic unit, thereby reducing the calculation cost.

And performing compensation calculation and forgetting filtering on the result after the average processing, wherein the compensation calculation and the forgetting filtering can be obtained by directly using a coefficient configured by upper-layer software to perform complex multiplication. The compensation calculation mainly has the function of adjusting the calculation result, for example, the peak value of the obtained result is higher, and the peak value is reduced by performing the compensation calculation on the result, and similarly, the correction factor β in the formula (1) can be understood as a compensation value. And comparing the forgetting filter with the previous subframe, and avoiding using the previous subframe to participate in operation in the subsequent processing process.

After the RS noise estimation matrix is subjected to average calculation, compensation calculation and forgetting filtering, the estimation result of the RS noise can be obtained. All the calculation processes are performed by only one set of calculation resources, so that the calculation resources are saved.

The embodiment of the invention provides a noise estimation method, which is used for mapping the position information of an RS (reference signal) under different conditions to the same position, then reducing the calculation time by utilizing the property of matrix conjugation and saving the storage resource.

Example two

Referring to fig. 8, it is shown that an embodiment of the present invention provides a noise estimation apparatus 8, which includes: an obtaining module 801, a mapping module 802, a generating module 803 and a filtering module 804; wherein,

the obtaining module 801 is configured to obtain original location information of an RS in an RB to be processed;

the mapping module 802 is configured to obtain mapping position information corresponding to original position information of an RS in the RB to be processed according to a preset mapping template; the preset mapping template is used for enabling mapping position information corresponding to original position information of RSs of different parameters RB to be the same;

the generating module 803 is configured to generate an RS noise estimation matrix corresponding to the position information mapped by the RS in the RB to be processed according to a preset noise variance estimation algorithm of the RS and a conjugate property of the RS noise estimation matrix;

the filtering module 804 is further configured to obtain an RS noise estimation result according to the RS noise estimation matrix and a preset filtering algorithm.

Further, referring to fig. 9, the mapping module 802 includes a modification sub-module 805 and a replacement sub-module 806; wherein,

the modification submodule 805 is configured to modify a time symbol counting manner in the RB to be processed when a transmission port number and Vshift in the RB to be processed are the same as a preset first mapping template and a CP mode of the RB to be processed is an Extended CP mode;

the replacing submodule 806 is configured to replace original location information of the RS in the RB to be processed with mapping location information corresponding to the same location as the RS of the first mapping template; the preset first mapping template is original position information of an RS under a Normal CP mode;

the modification submodule 805 is further configured to, when the transmission port number and the CP mode in the RB to be processed are the same as the preset second mapping template and Vshift is different from the preset second mapping template, modify a value of the state according to the value of the Vshift;

the replacing submodule 806 is further configured to replace the original position information of the RS in the RB to be processed with mapping position information corresponding to the same RS position of the second mapping template; and the preset second mapping template is the original position information of the RS when Vshift is 0.

Further, referring to fig. 10, the generating module 803 includes a determining sub-module 807 and a calculating sub-module 808; wherein,

the determining sub-module 807 is configured to determine a preset noise variance estimation algorithm of the RS;

the calculating submodule 808 is configured to obtain an upper triangular matrix of an RS noise estimation matrix corresponding to the position information mapped by the RS in the RB to be processed according to the preset noise variance estimation algorithm of the RS;

and obtaining the other half of the corresponding lower triangular matrix by utilizing the upper triangular matrix according to the conjugate property of the RS noise estimation matrix;

and forming the RS noise estimation matrix by the upper triangular matrix and the other corresponding half of the lower triangular matrix;

or,

the determining sub-module 807 is further configured to determine a preset noise variance estimation algorithm of the RS;

the calculating submodule 808 is further configured to obtain a lower triangular matrix of an RS noise estimation matrix corresponding to the position information mapped by the RS in the RB to be processed according to a preset noise variance estimation algorithm of the RS;

and obtaining the other half of corresponding upper triangular matrix by using the lower triangular matrix according to the conjugate property of the RS noise estimation matrix;

and forming an RS noise estimation matrix by the lower triangular matrix and the other half of the corresponding upper triangular matrix.

Further, the determining submodule 807 is configured to perform time domain interpolation calculation on the descrambled RS, and then perform frequency domain interpolation calculation on the descrambled RS;

Further, the filtering module 804 is further configured to perform average calculation on the RS noise estimation matrix in an approximate multiplication manner; and directly using a coefficient configured by upper-layer software to perform complex multiplication on the result after the average calculation, and sequentially performing compensation calculation and forgetting filtering to obtain the RS noise estimation result.

Specifically, for the description of the noise estimation apparatus provided in the embodiment of the present invention, reference may be made to the description of the noise estimation method in the first embodiment, and details of the embodiment of the present invention are not repeated herein.

In practical applications, the obtaining module 801, the mapping module 802, the generating module 803, the filtering module 804, the modifying sub-module 805, the replacing sub-module 806, the determining sub-module 807 and the calculating sub-module 808 may be implemented by a Central Processing Unit (CPU), a Microprocessor (MPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), or the like, which are located in the noise estimation apparatus 8.

The embodiment of the invention provides a noise estimation device, which maps the position information of an RS under different conditions to the same position, then reduces the calculation time by utilizing the property of matrix conjugation, and saves the storage resource.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.

Claims

1. A method of noise estimation, the method comprising:

acquiring original position information of an RS in an RB to be processed;

acquiring an RS noise estimation result according to the RS noise estimation matrix and a preset filtering algorithm;

the generating of the RS noise estimation matrix corresponding to the position information mapped by the RS in the RB to be processed according to the preset RS noise variance estimation algorithm and the conjugate property of the RS noise estimation matrix comprises the following steps:

determining a preset noise variance estimation algorithm of the RS;

or,

determining a preset noise variance estimation algorithm of the RS;

forming an RS noise estimation matrix by the lower triangular matrix and the corresponding upper triangular matrix;

the noise variance estimation algorithm for determining the preset RS comprises the following steps:

2. The method of claim 1, wherein the RS location attribute parameters comprise: transmit port number, Vshift, and CP mode;

when the emission port number and Vshift in the RB to be processed are the same as those of a preset first mapping template and the CP mode of the RB to be processed is an Extended CP mode, modifying a time symbol counting mode in the RB to be processed, and replacing original position information of an RS in the RB to be processed with mapping position information which corresponds to the same position of the RS of the first mapping template; the preset mapping template is original position information of an RS in an RB, wherein the CP mode is a Normal CP mode, the emission port number is port0, and Vshift is zero;

when the emission port number and the CP mode in the RB to be processed are the same as the preset second mapping template and the Vshift is different from the preset second mapping template, according to the value of the Vshift, the value of the state is modified correspondingly, and the RS original position information in the RB to be processed is replaced by the mapping position information which is corresponding to the RS position of the second mapping template.

3. A noise estimation apparatus, characterized in that the apparatus comprises: the device comprises an acquisition module, a mapping module, a generation module and a filtering module; wherein,

the filtering module is further used for acquiring an RS noise estimation result according to the RS noise estimation matrix and a preset filtering algorithm;

the generation module comprises a determination submodule and a calculation submodule; wherein,

or,

the determining submodule is used for performing time domain interpolation calculation on the RS subjected to descrambling processing and then performing frequency domain interpolation calculation;

4. The noise estimation device of claim 3, wherein the mapping module includes a modification sub-module and a replacement sub-module; wherein,

the replacing submodule is used for replacing the original position information of the RS in the RB to be processed with mapping position information which corresponds to the same position as the RS of the first mapping template; the preset first mapping template is original position information of an RS under a Normal CP mode;

the replacing submodule is further used for replacing the RS original position information in the RB to be processed with mapping position information corresponding to the same RS position of the second mapping template; and the preset second mapping template is the original position information of the RS when Vshift is 0.