CN115801505B

CN115801505B - Channel estimation method, device, communication equipment and storage medium

Info

Publication number: CN115801505B
Application number: CN202310069740.XA
Authority: CN
Inventors: 汤茂海; 檀甲甲; 倪海峰; 丁克忠; 张名磊
Original assignee: Nanjing Chuangxin Huilian Technology Co ltd
Current assignee: Nanjing Chuangxin Huilian Technology Co ltd
Priority date: 2023-02-07
Filing date: 2023-02-07
Publication date: 2023-04-25
Anticipated expiration: 2043-02-07
Also published as: CN115801505A

Abstract

The application relates to a channel estimation method, a device, a communication device and a storage medium. The method comprises the following steps: according to the position distribution and noise power of a plurality of pilot symbols, obtaining a first equivalent combined symbol and a second equivalent combined symbol through an optimal noise combination suppression method; and obtaining a channel estimation value of the symbol to be estimated according to the first equivalent combined symbol and the second equivalent combined symbol. The method can fully utilize a plurality of pilot symbols, select part of pilot symbols according to the positions and noise to generate a first equivalent combined symbol, select the other part of pilot symbols to generate a second equivalent combined symbol so as to determine the channel estimation value of each symbol to be estimated, thereby optimizing the signal-to-noise ratio of the interpolated symbol to be estimated and improving the noise suppression performance in channel estimation.

Description

Channel estimation method, device, communication equipment and storage medium

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a channel estimation method, apparatus, communications device, and storage medium.

Background

With the development of power carrier communication technology, an orthogonal frequency division multiplexing (Orthogonal Frequency Division Multiplexing, OFDM) technology has received a great deal of attention.

The OFDM technology is used as a multi-carrier modulation technology, which converts a high-speed serial data stream to be transmitted into a plurality of low-speed parallel sub-data streams, improves the symbol length, effectively avoids inter-symbol interference (Inter Symbol Interference, ISI) and inter-sub-carrier interference (Inter Carrier Interference, ICI), and has the advantages of high spectrum utilization rate, multipath interference resistance, high communication rate and the like.

However, the OFDM technology has some drawbacks, and when the fading corresponding to the communication frequency point is strong, it is difficult to recover the correct information without performing necessary channel estimation and equalization.

In the conventional technology, time domain interpolation is a classical time domain channel estimation method in channel estimation, which uses pilot signals in a current subframe to perform channel estimation to obtain channel estimation results of OFDM symbols at each pilot point, and then uses channel estimation results of OFDM symbols where two adjacent pilots are located to perform interpolation operation to determine channel estimation results of other non-pilot OFDM symbols of the current subframe.

However, in the case of multiple pilots, i.e., when the number of pilot symbols is greater than two, the above method only uses local pilot information in a subframe, and the channel estimation performance of non-pilot OFDM symbols needs to be improved.

Disclosure of Invention

Based on this, it is necessary to provide a channel estimation method, apparatus, communication device, and storage medium in order to address the above-mentioned technical problems.

In a first aspect, the present application provides a channel estimation method.

The method comprises the following steps:

according to the position distribution and noise power of a plurality of pilot symbols, obtaining a first equivalent combined symbol and a second equivalent combined symbol through an optimal noise combination suppression method;

and obtaining a channel estimation value of the symbol to be estimated according to the first equivalent combined symbol and the second equivalent combined symbol.

In one embodiment, determining the first equivalent combined symbol and the second equivalent combined symbol according to the position distribution of the plurality of pilot symbols and the noise power through an optimal noise combination suppression method includes:

determining a merging combination of pilot symbols according to the pilot symbols;

combining pilot symbols in the combination to obtain equivalent symbols;

traversing the combination, and obtaining the noise power of the symbol to be estimated after the equivalent symbol interpolation according to the position distribution and the noise power of the pilot symbols in the combination;

and determining a first equivalent combined symbol and a second equivalent combined symbol by taking the minimum noise power after interpolation of the symbol to be estimated as a target.

In one embodiment, traversing the combining combination, and obtaining the noise power after interpolation of the symbol to be estimated according to the position distribution of the pilot symbol and the noise power in the combining combination, including:

determining an equivalent index of an equivalent symbol corresponding to the pilot symbol according to the position distribution;

determining the equivalent noise of an equivalent symbol corresponding to the pilot symbol according to the noise power;

and obtaining the noise power of the symbol to be estimated after interpolation by using the equivalent symbol according to the equivalent index and the equivalent noise.

In one embodiment, obtaining a channel estimation value of a symbol to be estimated according to the first equivalent combined symbol and the second equivalent combined symbol includes:

according to the position distribution of pilot frequency symbols for generating the first equivalent combined symbols, obtaining equivalent indexes of the first equivalent combined symbols;

obtaining an equivalent index of the second equivalent combined symbol according to the position distribution of the pilot frequency symbol generating the second equivalent combined symbol;

and combining the channel estimation value of the pilot frequency symbol of the first equivalent combined symbol, the channel estimation value of the pilot frequency symbol of the second equivalent combined symbol, the equivalent index of the first equivalent combined symbol, the equivalent index of the second equivalent combined symbol and the position index of the symbol to be estimated to obtain the channel estimation value of the symbol to be estimated.

In one embodiment, combining the channel estimation value of the pilot symbol that generates the first equivalent combining symbol, the channel estimation value of the pilot symbol that generates the equivalent combining symbol, the equivalent index of the first equivalent combining symbol, the equivalent index of the second equivalent combining symbol, and the position index of the symbol to be estimated, the method includes:

obtaining the channel estimation value of the first equivalent combined symbol according to the channel estimation value of the pilot frequency symbol of the first equivalent combined symbol;

obtaining the channel estimation value of the second equivalent combined symbol according to the channel estimation value of the pilot frequency symbol of the second equivalent combined symbol;

and obtaining the channel estimation value of the symbol to be estimated through interpolation operation according to the channel estimation value of the first equivalent combined symbol, the channel estimation value of the second equivalent combined symbol, the equivalent index of the first equivalent combined symbol, the equivalent index of the second equivalent combined symbol and the position index of the symbol to be estimated.

Obtaining a first equivalent estimation coefficient according to the number of pilot frequency symbols for generating a first equivalent combined symbol;

obtaining a second equivalent estimation coefficient according to the number of pilot frequency symbols for generating a second equivalent combined symbol;

obtaining an interpolation coefficient of a pilot frequency symbol of the first equivalent merging symbol according to the first equivalent estimation coefficient, the equivalent index of the first equivalent merging symbol, the equivalent index of the second equivalent merging symbol and the position index of the symbol to be estimated;

obtaining an interpolation coefficient of a pilot frequency symbol of the second equivalent merging symbol according to the second equivalent estimation coefficient, the equivalent index of the first equivalent merging symbol, the equivalent index of the second equivalent merging symbol and the position index of the symbol to be estimated;

and obtaining the channel estimation value of the symbol to be estimated by using the channel estimation value of the pilot frequency symbol and the corresponding interpolation coefficient.

In one embodiment, the first equivalent combined symbol and the second equivalent combined symbol are both generated by combining at least one pilot symbol, and the intersection of the set of pilot symbols that generated the first equivalent combined symbol and the set of pilot symbols that generated the second equivalent combined symbol is null.

In a second aspect, the present application further provides a channel estimation apparatus.

The device comprises:

the virtual merging module is used for obtaining a first equivalent merging symbol and a second equivalent merging symbol through an optimal noise merging suppression method according to the position distribution and the noise power of the pilot symbols;

and the interpolation operation module is used for obtaining the channel estimation value of the symbol to be estimated according to the first equivalent combined symbol and the second equivalent combined symbol.

In a third aspect, the present application also provides a communication device.

The communication device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:

and the channel estimation value of the symbol to be estimated is obtained according to the first equivalent combined symbol and the second equivalent combined symbol.

In a fourth aspect, the present application also provides a computer-readable storage medium.

A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:

In a fifth aspect, the present application also provides a computer program product.

Computer program product comprising a computer program which, when executed by a processor, realizes the steps of:

According to the channel estimation method, the device, the communication equipment and the storage medium, according to the position distribution and the noise power of the pilot symbols, the virtual first equivalent combined symbol and the virtual second equivalent combined symbol are determined from the pilot symbols through the optimal noise combination suppression method, and the channel estimation value of the symbol to be estimated is determined through the first equivalent combined symbol and the second equivalent combined symbol.

The method is used for determining the channel estimation value of each symbol to be estimated, a plurality of pilot symbols can be fully utilized, a first equivalent combined symbol is generated according to the positions of the pilot symbols and the pilot symbols of the noise selection part, a second equivalent combined symbol is generated by selecting another pilot symbol, and therefore the signal-to-noise ratio of the interpolated symbol to be estimated is optimized, the interpolation coefficient is traversed offline, the noise statistics value of the estimated channel estimation value is minimum based on the generated linear interpolation coefficient, the noise suppression effect is good, and the noise suppression performance in channel estimation is improved.

Drawings

FIG. 1 is a diagram of an application environment for a channel estimation method in one embodiment;

FIG. 2 is a flow chart of a channel estimation method in one embodiment;

FIG. 3 is a diagram illustrating a pilot symbol distribution within a subframe according to one embodiment;

FIG. 4 is a flow diagram of generating equivalent combined symbols in one embodiment;

fig. 5 is an application environment diagram of an LTE terminal employing a channel estimation method in one embodiment;

fig. 6 is a flow chart of a channel estimation method applied to an LTE terminal in one embodiment;

FIG. 7 is a block diagram of a channel estimation device in one embodiment;

FIG. 8 is an internal block diagram of a communication device in one embodiment;

fig. 9 is an internal structural diagram of a communication device in another embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples.

It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.

The channel estimation method provided by the embodiment of the application can be applied to a communication system shown in fig. 1, such as a satellite communication system or a traditional mobile communication system.

The communication system includes a long term evolution (long term evolution, LTE) system, an LTE frequency division duplex (frequency division duplex, FDD) system, an LTE time division duplex (time divisionduplex, TDD), a fifth generation (5th generation,5G) system or a new air interface (NR), a sixth generation (6 g) system, a wireless local area network (wireless local area network, WLAN) communication system, a wireless fidelity (WiFi) system, and other future communication systems, and the like, and also supports a communication system in which a plurality of wireless technologies are integrated, for example, a system in which a non-terrestrial network (non-terrestrial network, NTN) such as an unmanned aerial vehicle, a satellite communication system, a high altitude platform (high altitude platform station, HAPS) communication is integrated.

Referring to fig. 1, a communication system includes at least one terminal 102 and at least one base station 104.

The base station 104 in the embodiments of the present application may be a node in a radio access network (radio access network, RAN), which may also be referred to as a network device, and may also be referred to as a RAN node (or device).

Currently, some examples of base stations 104 are: a next generation base station (nextgeneration nodeB, gNB), a next generation evolved base station (nextgeneration evolved nodeB, ng-eNB), a transmission reception point (transmission reception point, TRP), an evolved Node B (eNB), a radio network controller (radio network controller, RNC), a Node B (NodeB, NB), a base station controller (basestation controller, BSC), a base transceiver station (basetransceiver station, BTS), a home base station (e.g., home evolved NodeB, or home Node B, HNB), a baseband unit (BBU), or a wireless fidelity (Wifi) Access Point (AP), the base station 104 may also be a satellite, which may also be referred to as an aerial platform, an aerial vehicle, or a satellite base station.

The base station 104 may also be other devices having the functionality of the base station 104, for example, the base station 104 may also be a device-to-device (D2D) communication, a device functioning as the base station 104 in a car networking or machine-to-machine (machineto machine, M2M) communication.

The base station 104 may also be any possible base station 104 in future communication systems.

The base station 104 may interact with the core network device to provide communication services to the terminal 102.

The core network device is, for example, a device in a 5G network Core Network (CN).

The core network serves as an interface for the bearer network to provide communication connection, authentication, management, policy control, bearer completion for data traffic, and the like for User Equipment (UE).

The terminal 102 in the embodiments of the present application may refer to a User Equipment (UE), an access terminal, a subscriber unit, a subscriber station, a Mobile Station (MS), a remote station, a remote terminal, a mobile device, a user terminal, a wireless communication device, a user agent, or a user equipment.

An access terminal may be a cellular telephone, a cordless telephone, a session initiation protocol (Session Initiation Protocol, SIP) phone, a wireless local loop (Wireless Local Loop, WLL) station, a personal digital assistant (PersonalDigitalAssistant, PDA), a handheld device with wireless communication capabilities, a computing device or other processing device connected to a wireless modem, an in-vehicle device, a wearable device, and a mobile station in a communication network or a device in a future-evolving public land mobile network (Public Land Mobile Network, PLMN) network, etc.

For convenience of description, only one terminal 102 and one base station 104 are illustrated in fig. 1, and in an actual system, there may exist a plurality of terminals 102 and base stations 104 that coexist, which will not be described herein.

It should be noted that, the system architecture and the service scenario described in the embodiments of the present application are for more clearly describing the technical solution of the embodiments of the present invention, and do not constitute a limitation on the technical solution provided by the embodiments of the present invention, and those skilled in the art can know that, with the evolution of the system architecture and the appearance of the new service scenario, the technical solution provided by the embodiments of the present invention is equally applicable to similar technical problems.

In one embodiment, as shown in fig. 2, a channel estimation method is provided, which is illustrated by using the method applied to the communication system in fig. 1 as an example, and includes the following steps:

step 202, obtaining a first equivalent combined symbol and a second equivalent combined symbol through an optimal noise combination suppression method according to the position distribution and the noise power of a plurality of pilot symbols.

Where pilot symbols refer to known data transmitted on several carriers of an OFDM symbol.

Orthogonal frequency division multiplexing (Orthogonal Frequency Division Multiplexing, OFDM) is a special multi-carrier modulation scheme that divides the total channel into multiple sub-channels in the frequency domain, each sub-channel being modulated with a sub-carrier, the sub-carriers being orthogonal to each other and transmitted in parallel.

A pilot signal is inserted into the transmission signal, and the receiving end performs channel estimation by processing the pilot signal.

To maintain orthogonality among the subcarriers, it is often prescribed that certain subcarriers be used to transmit training data at certain times, also known as pilot (Pliot) signals.

The (time-varying) multipath fading channel experienced by the OFDM system can be regarded as a time-frequency two-dimensional system, the time domain distribution structure is defined according to the protocol of transmitting pilot frequency, the position of the pilot frequency domain is known, the symbol (content) included in the pilot signal is known, the power used for transmitting the pilot signal is known, two-dimensional sampling is performed on the time spectrum of the channel, after pilot extraction and channel rough estimation of the pilot point, the channel estimation value of the symbol to be estimated can be obtained through interpolation, namely the whole time-frequency response of the channel can be obtained.

The optimal noise combination suppression method, namely maximum ratio combination (Maximal Ratio Combining, MRC), refers to channel estimation of each symbol to be estimated, fully utilizes the position distribution and noise power of a plurality of pilot symbols to generate a first equivalent combined symbol and a second equivalent combined symbol, and minimizes the noise mean square error of the channel estimation result obtained by interpolation of each symbol to be estimated, namely, ensures that the signal-to-noise ratio of the finally interpolated symbol is the best, so as to obtain the channel estimation value of optimal noise suppression.

For each time domain symbol to be estimated, interpolation is illustratively performed by the first equivalent combined symbol and the second equivalent combined symbol.

The first equivalent combined symbol and the second equivalent combined symbol belong to virtual equivalent symbols, and for a certain time domain symbol to be estimated, the first equivalent combined symbol and the second equivalent combined symbol are determined according to the known position distribution of pilot symbols and noise power.

That is, from the position distribution of pilot symbols and the noise power, the equivalent noise of the symbol to be estimated after interpolation using two equivalent symbols can be determined.

Therefore, when the first equivalent combined symbol and the second equivalent combined symbol are determined, the information (positions and noises) of a plurality of pilot symbols can be fully utilized, and the equivalent noises of the symbol to be estimated after interpolation by using two equivalent symbols are minimized through the optimal noise combination suppression method, so that the noise suppression performance of the channel estimation of the symbol to be estimated is improved.

Alternatively, the noise power in the present embodiment refers to a statistically desired noise power.

Setting the noise statistics of each column of pilot frequency symbol to be independent, and counting the expected noise power on each column of pilot frequencyACan be expressed as:

wherein, the liquid crystal display device comprises a liquid crystal display device, N _i Is thatiThe noise of the column pilot symbols,

the noise power is expected for statistics of i columns of pilots.

The channel estimation result of the symbol to be estimated after interpolation by using two equivalent symbols can be expressed by the following formula, so that the statistical expected noise power is calculated

Minimum, i.e. the signal to noise ratio is the highest:

wherein, the liquid crystal display device comprises a liquid crystal display device,

for the symbol to be estimated->

In subcarrier->

Channel estimation value on->

For the symbol to be estimated->

In subcarrier->

Ideal channel estimation value,/, on>

Is the symbol to be estimated +.>

Is a noise of (a) a noise of (b).

In step 204, the channel estimation value of the symbol to be estimated is obtained by using the first equivalent combined symbol and the second equivalent combined symbol.

Among them, channel estimation plays a very important role in wireless communication, and the detected pilot signal channel estimation value can be generally used to calculate the channel estimation value of the symbol to be estimated.

In the embodiment of the application, after the first equivalent combined symbol and the second equivalent combined symbol are obtained by the optimal noise combination suppression method, the first equivalent combined symbol and the second equivalent combined symbol can be utilized to interpolate the symbol to be estimated, so as to obtain the channel estimation value of the symbol to be estimated, and finally obtain the channel estimation value of the optimal noise suppression.

In the channel estimation method, according to the position distribution and the noise power of the pilot symbols, the first equivalent combined symbol and the second equivalent combined symbol are determined by adopting an optimal noise combination suppression method, and the channel estimation value of the symbol to be estimated is determined by utilizing the first equivalent combined symbol and the second equivalent combined symbol.

The method is used for determining the channel estimation value of each symbol to be estimated, a plurality of pilot symbols can be fully utilized, and the equivalent symbol which minimizes the noise statistic value of the channel estimation value of the symbol to be estimated is selected according to the position and the noise of the pilot symbols, so that the signal-to-noise ratio of the interpolated symbol to be estimated is optimized, and the noise suppression performance in channel estimation is improved.

In one embodiment, the first equivalent combined symbol and the second equivalent combined symbol are each generated by combining at least one pilot symbol, and the intersection of the set of pilot symbols that generated the first equivalent combined symbol and the set of pilot symbols that generated the second equivalent combined symbol is null.

The first equivalent merging symbol and the second equivalent merging symbol are both generated by merging at least one pilot symbol physically existing, and the intersection of the set where the pilot symbol generating the first equivalent merging symbol is located and the set where the pilot symbol generating the second equivalent merging symbol is located is null, that is, the pilot symbol generating the first equivalent merging symbol is different from the pilot symbol generating the second equivalent merging symbol.

Illustratively, the slave firstMSelection from among pilot symbolsNPilot symbols are then transmitted from the restM-NSelection from among pilot symbolsKPilot symbols, which may be formed ofNCombining pilot symbols to generate a first classEffectively combine symbols, byKThe pilot symbols are combined to generate a second equivalent combined symbol, wherein,Mis more than or equal to 3 percent,N1 or more and 1 or lessM-1，K∈[1，M-N]。

In this embodiment, since the first equivalent combined symbol and the second equivalent combined symbol are both generated by combining partial pilot symbols, for a certain time domain symbol to be estimated, the pilot symbol for generating the first equivalent combined symbol and the pilot symbol for generating the second equivalent combined symbol are determined by an optimal noise combination suppression method according to the known position distribution and noise power of the pilot symbols.

That is, in the present embodiment, when selecting pilot symbols, according to the position distribution and noise power, a part of suitable pilot symbols are selected from the plurality of pilot symbols to generate a first equivalent combined symbol, and another part of suitable pilot symbols are selected to generate a second equivalent combined symbol, so as to minimize the noise statistic of the channel estimation value of the symbol to be estimated.

Illustratively, referring to FIG. 3, according to the protocol in which the pilot is transmitted, the pilot is placed in a fixed location of a time-frequency resource (e.g., resource Element (RE)), the remainder being the useful data signal, i.e l1、l5、 l 8 andlreference numeral 12 denotes a pilot symbol,l2、l3、l4、l6、l7、l9、l10、l11. andlreference numeral 13 denotes a non-pilot symbol, which is a useful data signal, i.e., a symbol to be estimated.

Such as for the symbol to be estimatedl2 according tol1、l5、l8 andl12 and the noise power, by the optimal noise combination suppression method, is adoptedl1、l5 combined first equivalent combined symbolsl8、l12, treating the estimated symbol by the first equivalent combined symbol and the second equivalent combined symbollAfter interpolation, the noise mean square error of the two channel estimation results obtained by interpolation can be minimized, namely, the best signal-to-noise ratio of the finally interpolated symbol is ensured.

In this embodiment, a part of suitable pilot symbols are selected from the plurality of pilot symbols to generate a first equivalent combining symbol, and another part of suitable pilot symbols are selected to generate a second equivalent combining symbol, so that information of the plurality of pilot symbols can be fully utilized, and an equivalent symbol combining scheme for minimizing noise statistics of a channel estimation value can be selected from the plurality of pilot symbols.

Referring to fig. 4, in one embodiment, determining a first equivalent combined symbol and a second equivalent combined symbol by an optimal noise combining suppression method according to a position distribution of a plurality of pilot symbols and noise power includes:

Step 402, determining a combined combination of pilot symbols from the pilot symbols.

The combination of pilot symbols refers to two pilot symbol sets, and all pilot symbols in the pilot symbol sets are combined to generate an equivalent symbol.

For each symbol to be estimated, two equivalent symbols are adopted for interpolation, in the embodiment of the application, the two equivalent symbols for interpolation of the same symbol to be estimated are called a pair of equivalent symbols, each equivalent symbol is generated by combining at least one pilot symbol, and the pilot symbols for generating one equivalent symbol form one pilot symbol set, namely, one pair of pilot symbol sets corresponds to one pair of equivalent symbols.

Illustratively, the combined combinations of pilot symbols are determined from pilot symbols, i.e., all combined combinations are determined from a plurality of pilot symbols, each combined combination comprising a pair of pilot symbol sets, and the intersection of two pilot symbol sets in the pair of pilot symbol sets is null.

For example, pilot symbol co-ordinatesMThe number of the two-dimensional space-saving type,Mis greater than or equal to 3, and is increased according to the position indexMThe position indexes of the pilot symbols are in turnl ₁ 、l ₂ 、…、l _M 。

Assume that in a pair of pilot symbol sets, one pilot symbol set includesMIn pilot symbolsNWith one pilot symbol, then another set of pilot symbols is derived from the remainder M-NSelection from among pilot symbolsKEach pilot symbolNumber, wherein,N1 or more and 1 or lessM-1，K∈[1，M-N]。

Each of which isNThe value is also provided with

In each case, eachKThe value is also +.>

The number of cases, i.e. combinations common to the combined combinations of pilot symbols>

The following formula can be used:

and step 404, combining the pilot symbols in the combination to obtain equivalent symbols.

Wherein, the equivalent symbols are generated by combining pilot symbols in each pilot symbol set in the combination of pilot symbols.

For example, the pair of equivalent symbols includes a first equivalent symbol and a second equivalent symbol, the first equivalent symbol is composed of a pilot symbol setMIn pilot symbolsNAll pilot symbols in the set of pilot symbols) are combined and a second equivalent symbol is generated from the other set of pilot symbols (remainingM-NSelected from pilot symbolsKA set of pilot symbols) are combined to generate all pilot symbols in the set of pilot symbols.

In this embodiment, after determining the combination of pilot symbols, the pilot symbols in each pilot symbol set in the combination are combined to obtain an equivalent symbol.

One combining combination includes two sets of pilot symbols, corresponding to two equivalent symbols.

And step 406, traversing the combination, and obtaining the noise power of the symbol to be estimated after the equivalent symbol interpolation according to the position distribution of the pilot symbols and the noise power in the combination.

Illustratively, each combination is traversed, and the noise power after interpolating the symbol to be estimated by a pair of equivalent symbols corresponding to the combination is calculated based on the position distribution of pilot symbols in the combination and the noise power, i.e., common to the combination

In the case of the combination of species, then calculate +.>

Secondary noise power.

In step 408, the first equivalent combined symbol and the second equivalent combined symbol are determined with the aim of minimizing the noise power after interpolation of the symbol to be estimated.

Specifically, the minimum noise power is selected from a plurality of noise powers corresponding to a plurality of combining combinations, and a pair of equivalent symbols corresponding to the combining combinations are determined to be a first equivalent combining symbol and a second equivalent combining symbol based on the combining combination corresponding to the minimum noise power.

That is, in the combining combination corresponding to the minimum noise power, the pair of equivalent symbols corresponding to the pair of pilot symbol sets are the first equivalent combining symbol and the second equivalent combining symbol.

In this embodiment, by determining the combining combinations of all pilot symbols, each combining combination is traversed to calculate the noise power of the corresponding interpolated symbol to be estimated, and the best pair of equivalent symbols can be accurately selected, that is, the best pilot symbol combining scheme can be accurately selected for each symbol to be estimated for interpolation, so that the noise mean square error of the obtained channel estimation result is minimum.

In one embodiment, traversing the combining combination, and obtaining the noise power after interpolation of the symbol to be estimated according to the position distribution of the pilot symbol and the noise power in the combining combination, including: determining an equivalent index of an equivalent symbol corresponding to the pilot symbol according to the position distribution; determining the equivalent noise of an equivalent symbol corresponding to the pilot symbol according to the noise power; and obtaining the noise power of the symbol to be estimated after interpolation by using the equivalent symbol according to the equivalent index and the equivalent noise.

Wherein the position distribution of the pilot symbols can be represented by their corresponding position indexes.

For a certain combination, the combination comprises a pair of pilot symbol sets, and a pair of equivalent symbols can be generated by combining all pilot symbols in each pair of pilot symbol sets.

For some equivalent symbols, the equivalent index of the equivalent symbol may be determined from the position distribution of the pilot symbols that generated the equivalent symbol, and the equivalent noise of the equivalent symbol may be determined from the noise power of the pilot symbols that generated the equivalent symbol.

Illustratively, assume that the position index of the symbol to be estimated islThe position indexes of the pilot symbols are sequentially increased according to the indexesl ₁ 、l ₂ 、…、l _M ，MThe noise power of the pilot symbol is represented by the statistically expected noise power, i.e., the statistically expected noise power on each column of pilots ACan be expressed as:

。

symbols to be estimated using a pair of equivalent symbols (position index isl) Interpolation is performed from {l ₁ 、l ₂ 、…、l _M Represented by the index setMFrom the pilot symbols, selectN（N1 or more and 1 or lessM-1) pilot symbols, generating a first equivalent symbol.

From the remainderM-NFrom the pilot symbols, selectK ∈ [1， M-N]And pilot symbols, generating second equivalent symbols.

First equivalent symbol [ ]lindex1) Equivalent index and equivalent noise of (a) can be expressed as:

wherein, the liquid crystal display device comprises a liquid crystal display device,lindex1is the equivalent index of the first equivalent symbol {l ₁ '、l ₂ '、…、l _N 'Is selected }NAn index set of the individual pilot symbols,

is the equivalent noise of the first equivalent symbol.

The equivalent index and equivalent noise of the second equivalent symbol can be expressed as:

wherein, the liquid crystal display device comprises a liquid crystal display device,lindex2for the equivalent index of the second equivalent symbol,U-Brepresenting a collectionUIn (a)BComplement of { { G.C.)l ₁ ''、l ₂ ''、…、l _K ''Is from the restM-NSelected from pilot symbolsKIndex sets of pilot symbols, eachU-BOn the premise that eachKHas the value of

The case of possibility->

Is the equivalent noise of the second equivalent symbol.

It should be noted that the number of pilot symbols in the pilot symbol set may be one, and it is obvious that the equivalent index and the equivalent noise of the equivalent symbol generated by the pilot symbol set composed of one pilot symbol are the position index and the noise power of the pilot symbol.

The symbol to be estimatedl) Using first equivalent symbols (equivalent index is

) And a second equivalent symbol (equivalent cordIs introduced as->

) The interpolated statistical expected noise power can be expressed as: />

。

In this embodiment, the equivalent index of the equivalent symbol generated by the pilot symbol is obtained through the index of the pilot symbol, the noise power of the pilot symbol is obtained through the equivalent index of the equivalent symbol generated by the pilot symbol, so that the virtual equivalent symbol has the properties of equivalent noise and equivalent index, and the noise power of the symbol to be estimated after interpolation using the virtual equivalent symbol can be obtained through the equivalent noise and equivalent index of the virtual equivalent symbol.

In one embodiment, obtaining a channel estimation value of a symbol to be estimated according to the first equivalent combined symbol and the second equivalent combined symbol includes: according to the position distribution of pilot frequency symbols for generating the first equivalent combined symbols, obtaining equivalent indexes of the first equivalent combined symbols; obtaining an equivalent index of the second equivalent combined symbol according to the position distribution of the pilot frequency symbol generating the second equivalent combined symbol; and combining the channel estimation value of the pilot frequency symbol of the first equivalent combined symbol, the channel estimation value of the pilot frequency symbol of the second equivalent combined symbol, the equivalent index of the first equivalent combined symbol, the equivalent index of the second equivalent combined symbol and the position index of the symbol to be estimated to obtain the channel estimation value of the symbol to be estimated.

For example, after determining the first equivalent combined symbol and the second equivalent combined symbol, the first equivalent combined symbol and the second equivalent combined symbol may be used to interpolate the symbol to be estimated, so as to obtain the channel estimation value of the symbol to be estimated.

Firstly, determining equivalent indexes of a first equivalent combined symbol and equivalent indexes of a second equivalent combined symbol, and then combining the equivalent indexes with equivalent indexes of the symbol to be estimated and detected channel estimation values of pilot symbols for generating the first equivalent combined symbol and the second equivalent combined symbol to determine the channel estimation values of the symbol to be estimated.

It should be noted that, regarding the step of determining the equivalent index of the first equivalent combined symbol and the equivalent index of the second equivalent combined symbol, the step of determining the equivalent index of the equivalent symbol corresponding to the pilot symbol generated according to the position distribution of the pilot symbol in the foregoing embodiment, and the step of determining the equivalent noise of the equivalent symbol corresponding to the pilot symbol according to the noise power of the pilot symbol may be referred to.

According to the method, the channel estimation value of the pilot frequency symbol of the first equivalent combined symbol is generated, the channel estimation value of the pilot frequency symbol of the second equivalent combined symbol is generated, and the position distribution of the first equivalent combined symbol, the second equivalent combined symbol and the symbol to be estimated is generated, so that the channel estimation of the symbol to be estimated can be generated through rapid interpolation.

In one embodiment, combining the channel estimation value of the pilot symbol that generates the first equivalent combined symbol, the channel estimation value of the pilot symbol that generates the second equivalent combined symbol, the equivalent index of the first equivalent combined symbol, the equivalent index of the second equivalent combined symbol, and the position index of the symbol to be estimated, the method includes: obtaining the channel estimation value of the first equivalent combined symbol according to the channel estimation value of the pilot frequency symbol of the first equivalent combined symbol; obtaining the channel estimation value of the second equivalent combined symbol according to the channel estimation value of the pilot frequency symbol of the second equivalent combined symbol; and obtaining the channel estimation value of the symbol to be estimated through interpolation operation according to the channel estimation value of the first equivalent combined symbol, the channel estimation value of the second equivalent combined symbol, the equivalent index of the first equivalent combined symbol, the equivalent index of the second equivalent combined symbol and the position index of the symbol to be estimated.

Illustratively, the channel estimation value of the first equivalent combined symbol is obtained according to the channel estimation value of the pilot symbol generating the first equivalent combined symbol, and the following formula can be adopted:

For the channel estimate of the first equivalent combined symbol,Nthe number of pilot symbols for generating the first equivalent combined symbol,/->

To be selected byNA set of channel estimates for each pilot symbol.

Illustratively, the channel estimation value of the second equivalent combined symbol is obtained according to the channel estimation value of the pilot symbol of the second equivalent combined symbol, and the following formula can be adopted:

for the channel estimates of the second equivalent combined symbol,Kthe number of pilot symbols for generating the second equivalent combined symbol,/->

To be selected byKA set of channel estimates for each pilot symbol.

Combining the channel estimation values of the first equivalent combined symbol and the second equivalent combined symbol, the equivalent index of the first equivalent combined symbol, the equivalent index of the second equivalent combined symbol and the position index of the symbol to be estimated, obtaining the channel estimation value of the symbol to be estimated through interpolation operation, wherein the following formula can be adopted:

wherein, the liquid crystal display device comprises a liquid crystal display device,lindex1for the equivalent index of the first equivalent combined symbol,lindex2for the equivalent index of the second equivalent combined symbol,

for the position index of the symbol to be estimated,H _l is the channel estimate of the symbol to be estimated.

In this embodiment, the channel estimation values of the symbols to be estimated are obtained by fast interpolation by determining the channel estimation values of the virtual first equivalent combined symbol and the virtual second equivalent combined symbol.

In another embodiment, combining the channel estimation value of the pilot symbol generating the first equivalent combined symbol, the channel estimation value of the pilot symbol generating the second equivalent combined symbol, the equivalent index of the first equivalent combined symbol, the equivalent index of the second equivalent combined symbol, and the position index of the symbol to be estimated, to obtain the channel estimation value of the symbol to be estimated includes: obtaining a first equivalent estimation coefficient according to the number of pilot frequency symbols for generating a first equivalent combined symbol; obtaining a second equivalent estimation coefficient according to the number of pilot frequency symbols for generating a second equivalent combined symbol; obtaining an interpolation coefficient of a pilot frequency symbol of the first equivalent merging symbol according to the first equivalent estimation coefficient, the equivalent index of the first equivalent merging symbol, the equivalent index of the second equivalent merging symbol and the position index of the symbol to be estimated; obtaining an interpolation coefficient of a pilot frequency symbol of the second equivalent merging symbol according to the second equivalent estimation coefficient, the equivalent index of the first equivalent merging symbol, the equivalent index of the second equivalent merging symbol and the position index of the symbol to be estimated; and obtaining the channel estimation value of the symbol to be estimated by using the channel estimation value of the pilot frequency symbol and the corresponding interpolation coefficient.

Wherein the first equivalent estimation coefficient may be the inverse of the number of pilot symbols that generate the first equivalent combined symbol, i.e

Wherein, the method comprises the steps of, wherein,Nthe number of pilot symbols to generate the first equivalent combined symbol.

The second equivalent estimation coefficients may be the inverse of the number of pilot symbols that generated the second equivalent combined symbol, i.e.

WhereinKTo generate the firstThe number of pilot symbols equivalent to the combined symbol.

Illustratively, the following formula may be used to obtain the interpolation coefficient of the pilot symbol of the first equivalent combining symbol according to the first equivalent estimation coefficient, the equivalent index of the first equivalent combining symbol, the equivalent index of the second equivalent combining symbol, and the position index of the symbol to be estimated:

/>

equivalent index for first equivalent combined symbol, +.>

Equivalent index for second equivalent merge symbol, +.>

For the position index of the symbol to be estimated, +.>

Interpolation coefficients for pilot symbols to generate a first equivalent combined symbol.

Then, according to the second equivalent estimation coefficient, the equivalent index of the first equivalent combined symbol, the equivalent index of the second equivalent combined symbol, and the position index of the symbol to be estimated, the interpolation coefficient of the pilot frequency symbol of the second equivalent combined symbol is obtained, and the following formula can be adopted:

interpolation coefficients for pilot symbols to generate a second equivalent combined symbol.

The channel estimation value of the symbol to be estimated is obtained by using the channel estimation value of the pilot symbol and the corresponding interpolation coefficient, and the following formula can be adopted:

for the symbol to be estimated->

In subcarrier->

Channel estimation values on the channel; />

To generate a first equivalent combined symbolNIndex set of pilot symbols, +.>

Is pilot symbol (index +.>

) In subcarrier->

Channel estimation value on->

Interpolation coefficients for pilot symbols to generate a first equivalent combined symbol;

to generate a second equivalent combined symbolKIndex set of pilot symbols, +.>

Is pilot symbol (index +.>

) In subcarrier->

Channel estimation value on->

In this embodiment, the channel estimation value of the symbol to be estimated can be obtained by determining the interpolation coefficient corresponding to each pilot symbol in the pilot symbol set and summing the products of the channel estimation value of each pilot symbol and the interpolation coefficient, so that the pilot configuration, the symbol to be estimated, the pilot symbol set for generating the first equivalent combined symbol and the second equivalent combined symbol, and the interpolation coefficient of each pilot symbol in the pilot symbol set can form a corresponding relationship, and thus the optimal combined interpolation mode of each symbol to be estimated, that is, the interpolation coefficient of each pilot symbol, is generated offline in advance under various pilot symbol configurations, so as to perform time domain interpolation calculation rapidly.

In one embodiment, as shown in fig. 5, in the LTE system, a terminal UE receiver receives a downlink signal sent by a base station eNB, and performs channel estimation calculation on the downlink signal.

Referring to fig. 6, the channel estimation method adopted by the channel estimation calculation includes:

step 602, obtaining a position distribution of a plurality of pilot symbols and counting expected noise power.

The method comprises the steps of defining a time domain distribution structure according to a protocol of pilot frequency in a downlink signal, determining a pilot frequency configuration mode, and obtaining position distribution and noise power of a plurality of pilot frequency symbols according to the pilot frequency configuration mode, wherein the pilot frequency configuration mode is usually fixed or in a certain candidate set, and the noise power of the pilot frequency symbols is represented by adopting statistically expected noise power.

Step 604 determines a combined combination of pilot symbols from a plurality of pilot symbols of the downlink signal.

Wherein the combined combination of pilot symbols comprises a pair of pilot symbol sets, at least one pilot symbol is included in the pilot symbol sets, and the pair of pilot symbol sets have no intersection.

And step 606, combining the pilot symbols in the combination to obtain equivalent symbols.

And combining all pilot symbols in each pair of pilot symbol sets respectively to generate a pair of equivalent symbols.

Step 608, traversing the combination, and obtaining the statistical expected noise power of the symbol to be estimated after the equivalent symbol interpolation according to the position distribution of the pilot symbols in the combination and the statistical expected noise power, wherein the following formula is specifically adopted:

for the symbol to be estimated (index isl) Statistically expected noise power after interpolation using equivalent symbols, < >>

And->

Equivalent index for a pair of equivalent symbols, +.>

Is equivalent symbol (equivalent index is

) Equivalent noise of->

Is equivalent symbol (equivalent index is +.>

) Is a noise equivalent of (a) to (b).

Wherein, the equivalent index of the equivalent symbol can be the average value of all pilot symbol position indexes of the equivalent symbol; equivalent noise for an equivalent symbol, the average of the expected noise power for all pilot symbols for that equivalent symbol may be calculated.

In step 610, an optimal noise combining suppression method is adopted, with the minimum noise power after interpolation of the symbol to be estimated as a target, a pair of equivalent symbols corresponding to the minimum noise power are determined to be the first equivalent combining symbol and the second equivalent combining symbol, that is, a pilot symbol set for generating the first equivalent combining symbol is determined, and a pilot symbol set for generating the second equivalent combining symbol is determined.

In step 612, a linear interpolation method is used to perform linear interpolation on the symbol to be estimated by using the first equivalent combined symbol and the second equivalent combined symbol.

First determining interpolation coefficients of pilot symbols belonging to a set of pilot symbols: obtaining interpolation coefficients of pilot symbols in a pilot symbol set belonging to the first equivalent merging symbol according to the equivalent indexes of the first equivalent merging symbol and the second equivalent merging symbol, the position index of the symbol to be estimated and the number of the pilot symbols in the pilot symbol set belonging to the first equivalent merging symbol; and obtaining interpolation coefficients of pilot symbols in the pilot symbol set belonging to the second equivalent merging symbol according to the equivalent indexes of the first equivalent merging symbol and the second equivalent merging symbol, the position index of the symbol to be estimated and the number of the pilot symbols in the pilot symbol set belonging to the second equivalent merging symbol.

And then, summing products of the channel estimation values of the pilot symbols and the interpolation coefficients based on the pilot symbol set and the corresponding interpolation coefficients determined by the optimal noise combination suppression method, and obtaining the channel estimation values of the symbols to be estimated.

For each symbol to be estimated, a corresponding first equivalent combined symbol and second equivalent combined symbol, that is, a pilot symbol set for generating the first equivalent combined symbol, and a pilot symbol set for generating the second equivalent combined symbol are determined, illustratively according to a pilot configuration mode.

And generating interpolation coefficients of pilot symbols in a pilot symbol set corresponding to each symbol to be estimated in advance in an off-line manner under various pilot configuration modes.

The method can adopt a table mode to generate interpolation coefficient tables in a pilot frequency configuration, a symbol to be estimated, a pilot frequency symbol set for generating a first equivalent combined symbol and a second equivalent combined symbol and interpolation coefficients of all pilot frequency symbols in the pilot frequency symbol set in a one-to-one correspondence manner, the interpolation coefficient tables are configured to a terminal UE receiver, and the terminal UE receiver rapidly carries out time domain interpolation calculation under the corresponding pilot frequency configuration according to the interpolation coefficient tables to generate a channel estimation value and sends the channel estimation value to a subsequent equalizer for processing.

Illustratively, please continue with reference to fig. 3, for the symbol to be estimated

Using pilot symbol +.>

And->

Equivalent symbol generated equivalently, pilot symbol +.>

And->

Equivalently generating another equivalent symbol +.>

The statistical expected noise power after linear interpolation is minimum, and is:

thus, determining to use pilot symbols

And->

Equivalent generation of first equivalent combined symbol, pilot symboll8Andl12the equivalent generates a second equivalent combined symbol.

Wherein the equivalent index of the first equivalent merging symbol is 3, the equivalent index of the second equivalent merging symbol is 10, The position index of the symbol to be estimated is 7, the number of pilot symbols in the pilot symbol set belonging to the first equivalent combined symbol is 2, and the number of pilot symbols in the pilot symbol set belonging to the second equivalent combined symbol is 2, then the symbol to be estimated

Channel estimation value +.>

The following formula may be employed:

、/>

、/>

、/>

respectively->

、/>

、/>

、/>

Channel estimate of>

、/>

、/>

Respectively->

、/>

、/>

、/>

Is used for the interpolation coefficient of the (c).

The method is adopted in the embodiment, a plurality of pilot symbols are fully utilized, the noise mean square error of a channel estimation result obtained by using linear interpolation for each time domain symbol is minimum, namely the best signal to noise ratio of the finally interpolated symbol is ensured, in addition, under various pilot configurations, the optimal merging interpolation mode of each symbol to be estimated, namely the linear interpolation coefficient of each symbol to be estimated, can be generated offline in advance, so that the noise statistic value of the estimated channel estimation value is minimum based on the generated linear interpolation coefficient, namely the best noise suppression effect is achieved, and meanwhile, the original purpose of linear interpolation can be met.

It should be understood that, although the steps in the flowcharts related to the above embodiments are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows.

The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders.

Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.

Based on the same inventive concept, the embodiment of the application also provides a channel estimation device for realizing the above-mentioned channel estimation method.

The implementation of the solution provided by the apparatus is similar to the implementation described in the above method, so the specific limitation in one or more embodiments of the channel estimation apparatus provided below may be referred to the limitation of the channel estimation method hereinabove, and will not be repeated here.

In one embodiment, as shown in fig. 7, there is provided a channel estimation apparatus including: a virtual merge module 702 and an interpolation operation module 704, wherein:

The virtual combining module 702 is configured to obtain a first equivalent combined symbol and a second equivalent combined symbol according to the position distribution of the pilot symbols and the noise power by using an optimal noise combining suppression method;

the interpolation operation module 702 is configured to obtain a channel estimation value of the symbol to be estimated according to the first equivalent combined symbol and the second equivalent combined symbol.

In one embodiment, virtual merge module 702 is further configured to: the first equivalent merging symbol and the second equivalent merging symbol are both generated by merging at least one pilot symbol, and the intersection of the set of the pilot symbol generating the first equivalent merging symbol and the set of the pilot symbol generating the second equivalent merging symbol is null.

In one embodiment, virtual merge module 702 is further configured to: determining a merging combination of pilot symbols according to the pilot symbols; combining pilot symbols in the combination to obtain equivalent symbols; traversing the combination, and obtaining the noise power of the symbol to be estimated after the equivalent symbol interpolation according to the position distribution and the noise power of the pilot symbols in the combination; and determining a first equivalent combined symbol and a second equivalent combined symbol by taking the minimum noise power after interpolation of the symbol to be estimated as a target.

In one embodiment, virtual merge module 702 is further configured to: determining an equivalent index of an equivalent symbol corresponding to the pilot symbol according to the position distribution; determining the equivalent noise of an equivalent symbol corresponding to the pilot symbol according to the noise power; and obtaining the noise power of the symbol to be estimated after interpolation by using the equivalent symbol according to the equivalent index and the equivalent noise.

In one embodiment, the interpolation operation module 704 is further configured to: according to the position distribution of pilot frequency symbols for generating the first equivalent combined symbols, obtaining equivalent indexes of the first equivalent combined symbols; obtaining an equivalent index of the second equivalent combined symbol according to the position distribution of the pilot frequency symbol generating the second equivalent combined symbol; and combining the channel estimation value of the pilot frequency symbol of the first equivalent combined symbol, the channel estimation value of the pilot frequency symbol of the second equivalent combined symbol, the equivalent index of the first equivalent combined symbol, the equivalent index of the second equivalent combined symbol and the position index of the symbol to be estimated to obtain the channel estimation value of the symbol to be estimated.

In one embodiment, the interpolation operation module 704 is further configured to: obtaining the channel estimation value of the first equivalent combined symbol according to the channel estimation value of the pilot frequency symbol of the first equivalent combined symbol; obtaining the channel estimation value of the second equivalent combined symbol according to the channel estimation value of the pilot frequency symbol of the second equivalent combined symbol; and obtaining the channel estimation value of the symbol to be estimated through interpolation operation according to the channel estimation value of the first equivalent combined symbol, the channel estimation value of the second equivalent combined symbol, the equivalent index of the first equivalent combined symbol, the equivalent index of the second equivalent combined symbol and the position index of the symbol to be estimated.

In one embodiment, the interpolation operation module 704 is further configured to: obtaining a first equivalent estimation coefficient according to the number of pilot frequency symbols for generating a first equivalent combined symbol; obtaining a second equivalent estimation coefficient according to the number of pilot frequency symbols for generating a second equivalent combined symbol; obtaining an interpolation coefficient of a pilot frequency symbol of the first equivalent merging symbol according to the first equivalent estimation coefficient, the equivalent index of the first equivalent merging symbol, the equivalent index of the second equivalent merging symbol and the position index of the symbol to be estimated; obtaining an interpolation coefficient of a pilot frequency symbol of the second equivalent merging symbol according to the second equivalent estimation coefficient, the equivalent index of the first equivalent merging symbol, the equivalent index of the second equivalent merging symbol and the position index of the symbol to be estimated; and obtaining the channel estimation value of the symbol to be estimated by using the channel estimation value of the pilot frequency symbol and the corresponding interpolation coefficient.

The respective modules in the above-described channel estimation apparatus may be implemented in whole or in part by software, hardware, and combinations thereof.

The above modules may be embedded in hardware or may be independent of a processor in the communication device, or may be stored in software in a memory in the communication device, so that the processor may call and execute operations corresponding to the above modules.

In one embodiment, a communication device is provided, which may be a base station, and the internal structure of which may be as shown in fig. 8.

The communication device comprises a processor, a memory, an Input/Output interface (I/O) and a communication interface.

The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface.

Wherein the processor of the communication device is configured to provide computing and control capabilities.

The memory of the communication device includes a non-volatile storage medium and an internal memory.

The non-volatile storage medium stores an operating system, computer programs, and a database.

The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media.

The database of the communication device is for storing pilot configuration data.

The input/output interface of the communication device is used to exchange information between the processor and the external device.

The communication interface of the communication device is used for communicating with an external terminal through a network connection.

The computer program is executed by a processor to implement a channel estimation method.

In one embodiment, a communication device is provided, which may be a terminal, and the internal structure thereof may be as shown in fig. 9.

The communication device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means.

The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface.

The memory of the communication device includes a non-volatile storage medium, an internal memory.

The non-volatile storage medium stores an operating system and a computer program.

The communication interface of the communication device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies.

The display unit of the communication device is used for forming a visually visible picture and can be a display screen, a projection device or a virtual reality imaging device.

The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the communication equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the communication equipment, and can also be an external keyboard, a touch pad or a mouse and the like.

It will be appreciated by those skilled in the art that the structures shown in fig. 8 and 9 are merely block diagrams of portions of structures related to the present application and do not constitute a limitation of the communication device to which the present application is applied, and that a particular communication device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a communication device is provided, including a memory having a computer program stored therein and a processor, which when executing the computer program performs the steps of the method embodiments described above.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.

In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.

Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above.

Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory.

The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like.

Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like.

By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like.

The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases.

The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like.

The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The foregoing examples represent only a few embodiments of the present application, which are described in more detail and are not thereby to be construed as limiting the scope of the present application.

It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application.

Accordingly, the scope of protection of the present application shall be subject to the appended claims.

Claims

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

obtaining a channel estimation value of a symbol to be estimated according to the first equivalent combined symbol and the second equivalent combined symbol;

wherein the obtaining a channel estimation value of the symbol to be estimated according to the first equivalent combined symbol and the second equivalent combined symbol includes:

obtaining an equivalent index of the first equivalent merging symbol according to the position distribution of the pilot frequency symbol generating the first equivalent merging symbol;

obtaining an equivalent index of the second equivalent merging symbol according to the position distribution of pilot frequency symbols for generating the second equivalent merging symbol;

combining the channel estimation value of the pilot frequency symbol of the first equivalent combined symbol, the channel estimation value of the pilot frequency symbol of the second equivalent combined symbol, the equivalent index of the first equivalent combined symbol, the equivalent index of the second equivalent combined symbol and the position index of the symbol to be estimated to obtain the channel estimation value of the symbol to be estimated;

Wherein the combining to generate the channel estimation value of the pilot symbol of the first equivalent combined symbol, generate the channel estimation value of the pilot symbol of the second equivalent combined symbol, the equivalent index of the first equivalent combined symbol, the equivalent index of the second equivalent combined symbol, and the position index of the symbol to be estimated, to obtain the channel estimation value of the symbol to be estimated includes:

obtaining a first equivalent estimation coefficient according to the number of pilot frequency symbols for generating the first equivalent combined symbol;

obtaining a second equivalent estimation coefficient according to the number of pilot frequency symbols for generating the second equivalent combined symbol;

2. The method of claim 1, wherein the determining the first equivalent combined symbol and the second equivalent combined symbol by the optimal noise combining suppression method based on the position distribution of the plurality of pilot symbols and the noise power comprises:

determining a combination of pilot symbols according to the pilot symbols;

combining the pilot symbols in the combination to obtain equivalent symbols;

and determining the first equivalent combined symbol and the second equivalent combined symbol by taking the noise power of the interpolated symbol to be estimated as a target.

3. The method of claim 2 wherein traversing the combining means to obtain the interpolated noise power for the symbol to be estimated based on the position distribution of the pilot symbols and the noise power in the combining means comprises:

determining an equivalent index of the equivalent symbol corresponding to the pilot symbol according to the position distribution;

Determining the equivalent noise of the equivalent symbol corresponding to the pilot symbol according to the noise power;

4. The method of claim 1, wherein combining the channel estimate of the pilot symbol that generated the first equivalent combined symbol, the channel estimate of the pilot symbol that generated the equivalent combined symbol, the equivalent index of the first equivalent combined symbol, the equivalent index of the second equivalent combined symbol, and the position index of the symbol to be estimated, results in a channel estimate of the symbol to be estimated, comprising:

5. The method of claim 1, wherein the first equivalent combined symbol and the second equivalent combined symbol are each generated by combining at least one pilot symbol, and wherein an intersection of a set of pilot symbols that generated the first equivalent combined symbol and a set of pilot symbols that generated the second equivalent combined symbol is null.

6. A channel estimation apparatus, the apparatus comprising:

the interpolation operation module is used for obtaining a channel estimation value of a symbol to be estimated according to the first equivalent combined symbol and the second equivalent combined symbol;

7. The channel estimation device of claim 6 wherein the virtual combining module, when performing the first equivalent combined symbol and the second equivalent combined symbol according to the position distribution of the plurality of pilot symbols and the noise power, is configured to:

determining a combination of pilot symbols according to the pilot symbols;

combining the pilot symbols in the combination to obtain equivalent symbols;

8. The channel estimation device of claim 7 wherein the virtual combining module, when performing the traversing the combining, is configured to, based on the position distribution of the pilot symbols in the combining and the noise power, obtain the noise power of the symbol to be estimated after the interpolation of the equivalent symbol:

9. A communication device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 5 when the computer program is executed.

10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 5.