CN110808930A

CN110808930A - Channel estimation method, device and storage medium

Info

Publication number: CN110808930A
Application number: CN201911075907.3A
Authority: CN
Inventors: 陈苗
Original assignee: Ziguang Zhanrui (chongqing) Technology Co Ltd
Current assignee: Ziguang Zhanrui (chongqing) Technology Co Ltd
Priority date: 2019-11-06
Filing date: 2019-11-06
Publication date: 2020-02-18
Anticipated expiration: 2039-11-06
Also published as: CN110808930B

Abstract

The present disclosure relates to the field of communications technologies, and in particular, to a channel estimation method, apparatus, and storage medium. The method is used in the terminal equipment, and comprises the following steps: acquiring an original channel estimation value on a reference signal position; generating a frequency domain channel estimation value according to the original channel estimation value and channel correlation information, wherein the channel correlation information is used for indicating the channel correlation on adjacent frequency domains and/or adjacent time; determining a target interference position with narrow-band interference abnormality according to the original channel estimation value and the frequency domain channel estimation value; and repairing the target interference position to obtain a final channel estimation result. According to the embodiment of the disclosure, in an interference environment, the terminal device performs interference elimination by using the channel correlation information, so that the influence of environmental interference is reduced, the accuracy of a channel estimation result is improved, and the terminal performance in an actual scene is improved.

Description

Channel estimation method, device and storage medium

Technical Field

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

Background

In a 3GPP fourth generation communication system and a subsequent Evolution system, there are multiple communication systems, such as a typical application scenario where 2G, 3G, eMTC coexist, and a relatively complex electromagnetic coexistence environment may be formed between different systems, thereby introducing interference to a Long Term Evolution (LTE) system. In the LTE system, available physical resources are divided into Resource Elements (REs) and larger Resource Blocks (RBs) by frequency and time slot.

In the related art, a typical system interference scenario of LTE is narrowband interference, that is, other narrowband systems generate interference to partial REs or RBs of the LTE system. In the LTE system, a Cell-specific reference signal (CRS) is introduced for demodulation channel estimation of a terminal device. When the RE or RB where the CRS is located is interfered, it will have a relatively obvious effect on the channel estimation of the terminal device, resulting in performance degradation.

Aiming at the problem that the accuracy of a channel estimation result is reduced due to the influence of narrowband interference on channel estimation in the related technology, an effective solution is not provided at present.

Disclosure of Invention

In view of the above, the present disclosure provides a channel estimation method, apparatus, and storage medium. The technical scheme is as follows:

according to an aspect of the present disclosure, there is provided a channel estimation method for use in a terminal device, the method including:

acquiring an original channel estimation value on a reference signal position;

generating a frequency domain channel estimation value according to the original channel estimation value and channel correlation information, wherein the channel correlation information is used for indicating the channel correlation on adjacent frequency domains and/or adjacent time;

determining a target interference position with narrow-band interference abnormality according to the original channel estimation value and the frequency domain channel estimation value;

and repairing the target interference position to obtain a final channel estimation result.

In a possible implementation manner, the generating a frequency domain channel estimation value according to the original channel estimation value and the channel correlation information includes:

generating a channel coefficient according to the channel correlation information;

and generating the frequency domain channel estimation value according to the original channel estimation value and the channel coefficient.

In another possible implementation manner, the original channel estimation value includes an original channel estimation value corresponding to each of a plurality of frequency-domain correlation blocks, where the frequency-domain correlation blocks are used to indicate a plurality of consecutive adjacent reference signals in a frequency domain;

generating the frequency domain channel estimation value according to the original channel estimation value and the channel coefficient, wherein the generating of the frequency domain channel estimation value comprises:

for each of the frequency-domain correlation blocks, generating the frequency-domain channel estimation value H _ cor corresponding to the frequency-domain correlation block according to the original channel estimation value and the channel coefficient by using the following formula:

wherein wf is the channel coefficient of the reference signal, RawH is the original channel estimation value corresponding to the frequency-domain correlation block, and K is the number of reference signals included in the frequency-domain correlation block.

In another possible implementation manner, the generating a channel coefficient according to the channel correlation information includes:

generating the channel coefficient wf according to the channel correlation information by the following formula:

wf＝R_ij*(R_ii+σ)^-1；

wherein, R is_ijThe channel cross-correlation coefficients for the reference signal at i and j positions, R_iiAnd the self-correlation coefficient of the reference signal at the position i is obtained, the sigma is a channel confidence factor, the position i is the frequency domain position of the reference signal, and the position j is the frequency domain position of other reference signals except the reference signal.

In another possible implementation manner, the original channel estimation value includes an original channel estimation value corresponding to each of a plurality of frequency domain correlation blocks, the frequency domain channel estimation value includes a frequency domain channel estimation value corresponding to each of the plurality of frequency domain correlation blocks, and the frequency domain correlation blocks are used to represent a plurality of consecutive adjacent reference signals in a frequency domain;

the determining a target interference position with narrow-band interference abnormality according to the original channel estimation value and the frequency domain channel estimation value comprises the following steps:

for each of the frequency-domain correlation blocks in the plurality of frequency-domain correlation blocks, determining a first difference factor from the frequency-domain channel estimate and the original channel estimate, the first difference factor indicating a comparison difference between the frequency-domain channel estimate and the original channel estimate;

and determining the target interference position with abnormal narrow-band interference according to the first difference factors corresponding to the plurality of frequency domain related blocks respectively.

In another possible implementation, the type of the first difference factor includes one of a general difference factor, a Mean Square Error (MSE) difference factor, and a normalized difference factor.

In another possible implementation manner, the determining, according to the first difference factor corresponding to each of the plurality of frequency domain related blocks, the target interference position where the narrowband interference anomaly exists includes:

calculating a first average value of first difference factors corresponding to the plurality of frequency domain related blocks respectively;

and identifying the frequency domain related block corresponding to a first difference factor of which the difference value with the first average value is greater than a first preset difference value as the target interference position.

In another possible implementation manner, the target interference position is an interference position on a target antenna port, and reference signal distributions of different antenna ports are staggered with each other in a frequency domain; the method further comprises the following steps:

acquiring first candidate interference positions of frequency domain related blocks with the same number on other antenna ports except the target antenna port;

when the target interference position is different from the first candidate interference position, determining an interference position of a Resource Element Interference (REI) level in the target interference position according to the target interference position and the first candidate interference position.

In another possible implementation manner, the target interference position is an interference position on a target OFDM symbol, and reference signal distributions of different OFDM symbols are staggered from each other in a frequency domain; the method further comprises the following steps:

acquiring a second candidate interference position of a frequency domain related block with the same number as related blocks on other OFDM symbols adjacent to the target OFDM symbol;

when the target interference position is different from the second candidate interference position, determining an interference position of an REI level in the target interference position according to the target interference position and the second candidate interference position.

In another possible implementation manner, the method further includes:

for the target interference position, calculating a plurality of second difference factors by adopting a sliding window on a frequency domain, wherein the second difference factors are used for indicating comparison difference values between channel estimation values corresponding to two adjacent sliding windows respectively, and the window length of the sliding window is smaller than the length of the frequency domain related block on the frequency domain;

calculating a second average of a plurality of said second difference factors;

determining, as the interference position of the REI level, a sliding window indicated by a second difference factor having a difference from the second average value greater than a second preset difference, in the target interference position.

According to another aspect of the present disclosure, there is provided a channel estimation apparatus for use in a terminal device, the apparatus including:

the acquisition module is used for acquiring an original channel estimation value on a reference signal position;

a generating module, configured to generate a frequency domain channel estimation value according to the original channel estimation value and channel correlation information, where the channel correlation information is used to indicate channel correlation in an adjacent frequency domain and/or an adjacent time;

the determining module is used for determining a target interference position with abnormal narrow-band interference according to the original channel estimation value and the frequency domain channel estimation value;

and the obtaining module is used for repairing the target interference position to obtain a final channel estimation result.

In a possible implementation manner, the generating module is further configured to generate a channel coefficient according to the channel correlation information; and generating the frequency domain channel estimation value according to the original channel estimation value and the channel coefficient.

the generating module is further configured to, for each of the frequency-domain correlation blocks, generate the frequency-domain channel estimation value H _ cor corresponding to the frequency-domain correlation block according to the original channel estimation value and the channel coefficient by using the following formula:

In another possible implementation manner, the generating module is further configured to generate the channel coefficient wf according to the channel correlation information by using the following formula:

wf＝R_ij*(R_ii+σ)^-1；

the determining module is further configured to:

In another possible implementation, the type of the first difference factor includes one of a general difference factor, an MSE difference factor, and a normalized difference factor.

In another possible implementation manner, the determining module is further configured to:

In another possible implementation manner, the target interference position is an interference position on a target antenna port, and reference signal distributions of different antenna ports are staggered with each other in a frequency domain; the determining module is further configured to:

when the target interference position is different from the first candidate interference position, determining an interference position of an REI level in the target interference position according to the target interference position and the first candidate interference position.

In another possible implementation manner, the target interference position is an interference position on a target OFDM symbol, and reference signal distributions of different OFDM symbols are staggered from each other in a frequency domain; the determining module is further configured to:

calculating a second average of a plurality of said second difference factors;

According to another aspect of the present disclosure, there is provided a terminal device including: a processor; a memory for storing processor-executable instructions;

wherein the processor is configured to:

acquiring an original channel estimation value on a reference signal position;

According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the above-described method.

According to the method and the device, the terminal equipment generates the frequency domain channel estimation value according to the original channel estimation value and the channel correlation information, and determines the target interference position with the abnormal narrow-band interference according to the original channel estimation value and the frequency domain channel estimation value, so that the target interference position is repaired, and the final channel estimation result is obtained; under the interference environment, the terminal equipment utilizes the channel correlation information to eliminate the interference, the influence of the environmental interference is reduced, the accuracy of the channel estimation result is improved, and the terminal performance in the actual scene is improved.

Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.

Fig. 1 is a diagram illustrating a mapping position of a reference signal on one antenna port in case of a conventional cyclic prefix in the related art;

fig. 2 is a schematic structural diagram of a mobile communication system provided in an exemplary embodiment of the present disclosure;

fig. 3 is a flowchart illustrating a channel estimation method according to an exemplary embodiment of the disclosure

Fig. 4 shows a flowchart of a channel estimation method provided by another exemplary embodiment of the present disclosure;

fig. 5 is a diagram illustrating a sliding window involved in a channel estimation method according to another exemplary embodiment of the present disclosure;

fig. 6 is a schematic structural diagram of a channel estimation apparatus provided in an embodiment of the present disclosure;

fig. 7 shows a schematic structural diagram of a terminal device according to an exemplary embodiment of the present disclosure.

Detailed Description

Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.

It should be understood that the term "and/or" herein is merely one type of association relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" in this document indicates that the former and latter related objects are in an "or" relationship.

"plurality" appearing in embodiments of the present disclosure means two or more.

The descriptions of the first, second, etc. appearing in the embodiments of the present disclosure are only for illustrating and differentiating the objects, and do not represent the order or the particular limitation of the number of the devices in the embodiments of the present disclosure, and do not constitute any limitation to the embodiments of the present disclosure.

The term "connect" in the embodiments of the present disclosure refers to various connection manners, such as direct connection or indirect connection, to implement communication between devices, which is not limited in this respect.

Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.

In an Orthogonal Frequency-Division Multiplexing (OFDM) wireless communication system, data is usually modulated on a plurality of Orthogonal subcarriers, and since the Frequency spectrums of the Orthogonal subcarriers can be overlapped, the Frequency spectrum utilization rate can be effectively improved.

In the OFDM system, a signal transmitted in a slot can be described by a resource grid, the minimum unit in the resource grid is REs, such as the minimum square in fig. 1, each RE corresponds to a subcarrier in the frequency domain and a time length of a Symbol (Symbol in english) in the time domain, and all information to be transmitted is carried by the RE.

In the coherent demodulation OFDM system, in order to equalize the received signal, the terminal device needs to obtain channel information through channel estimation, and the performance of the channel estimation directly affects the performance of the whole terminal device. In the OFDM communication system, an access network device transmits a Reference Signal (RS) simultaneously with data transmission, so that a terminal device can perform channel estimation based on the Reference Signal. Fig. 1 is a diagram illustrating a mapping position of a reference signal on one antenna port in case of a conventional cyclic prefix in the related art, and R0 in fig. 1 indicates the position of the reference signal. When channel estimation is carried out, the terminal equipment can extract a received signal at the position of the reference signal, and the channel estimation of the position of the reference signal is calculated by using a least square algorithm by using a local reference signal stored by the terminal equipment; then, the channel estimation results of all RE positions are estimated through an interpolation filter, i.e. channel estimation is completed.

A typical system interference scenario of LTE is narrowband interference, i.e. interference caused by other narrowband systems to some REs or RBs of the LTE system. In the LTE system, a Cell-specific Reference Signal (CRS) is introduced for demodulation channel estimation of a terminal. When the RE or RB where the CRS is located is interfered, it will have a relatively obvious effect on the channel estimation of the terminal device, resulting in performance degradation. Aiming at the problem that the accuracy of a channel estimation result is reduced due to the influence of narrowband interference on channel estimation in the related technology, an effective solution is not provided at present.

Therefore, the embodiment of the disclosure provides a channel estimation method, a channel estimation device and a storage medium. According to the embodiment of the disclosure, in an interference environment, the terminal device performs interference elimination by using the channel correlation information, so that the influence of environmental interference is reduced, the accuracy of a channel estimation result is improved, and the terminal performance in an actual scene is improved.

Referring to fig. 2, a schematic structural diagram of a mobile communication system according to an exemplary embodiment of the present disclosure is shown. The mobile communication system may be an LTE system, or may also be a 5G system, where the 5G system is also called a New Radio (NR) system, or may also be a next-generation mobile communication technology system of 5G, and the embodiment is not limited thereto.

Optionally, the mobile communication system is applicable to different network architectures, including but not limited to a relay network architecture, a dual link architecture, a V2X architecture, and the like. The mobile communication system includes: access network device 220 and terminal device 240.

The Access Network device 220 may be a Base Station (BS), which may also be referred to as a base station device, and is a device deployed in a Radio Access Network (RAN) to provide a wireless communication function. For example, the device providing the base station function in the 2G network includes a Base Transceiver Station (BTS), the device providing the base station function in the 3G network includes a node B (english: NodeB), the device providing the base station function in the 4G network includes an evolved node B (evolved NodeB, eNB), the device providing the base station function in the Wireless Local Area Network (WLAN) is an Access Point (AP), the device providing the base station function in the 5G system is a gNB, and an evolved node B (ng-eNB), the access network device 220 in the embodiment of the present disclosure further includes a device providing the base station function in a future new communication system, and the specific implementation manner of the access network device 220 in the embodiment of the present disclosure is not limited. The access network equipment may also include Home base stations (Home enbs, henbs), relays (Relay), Pico base stations Pico, etc.

The base station controller is a device for managing a base station, such as a Base Station Controller (BSC) in a 2G network, a Radio Network Controller (RNC) in a 3G network, and a device for controlling and managing a base station in a future new communication system.

The network in the embodiment of the present disclosure is a communication network providing a communication service for the terminal device 240, and includes a base station of a radio access network, a base station controller of the radio access network, and a device on the core network side.

The Core Network may be an Evolved Packet Core (EPC), a 5G Core Network (english: 5G Core Network), or a new Core Network in a future communication system. The 5G Core Network is composed of a set of devices, and implements Access and mobility Management functions (AMF) of functions such as mobility Management, User Plane Functions (UPF) providing functions such as packet routing forwarding and Quality of Service (QoS) Management, Session Management Functions (SMF) providing functions such as Session Management, IP address allocation and Management, and the like. The EPC may be composed of an MME providing functions such as mobility management, Gateway selection, etc., a Serving Gateway (S-GW) providing functions such as packet forwarding, etc., and a PDN Gateway (P-GW) providing functions such as terminal address allocation, rate control, etc.

The access network device 220 and the terminal device 240 establish a wireless connection over a wireless air interface. Optionally, the wireless air interface is a wireless air interface based on a 5G standard, for example, the wireless air interface is NR; or, the wireless air interface may also be a wireless air interface based on a 5G next generation mobile communication network technology standard; alternatively, the wireless air interface may be a wireless air interface based on the 4G standard (LTE system). The access network device 220 may receive the uplink data transmitted by the terminal device 240 through the wireless connection.

Terminal device 240 may refer to a device in data communication with access network device 220. Terminal device 240 may communicate with one or more core networks via a radio access network. Terminal equipment 240 may be various forms of terminal equipment (UE), access terminal equipment, subscriber units, subscriber stations, Mobile Stations (MSs), remote stations, remote terminal equipment, mobile equipment, terminal equipment (terminal equipment), wireless communication equipment, user agents, or user devices. The terminal device 240 may also be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA), a handheld device with Wireless communication function, a computing device or other processing device connected to a Wireless modem, a vehicle-mounted device, a wearable device, a terminal device in a future 5G Network or a terminal device in a future evolved Public Land Mobile Network (PLMN), and the like, which is not limited in this embodiment. Terminal device 240 may receive downlink data sent by access network device 220 via a wireless connection with access network device 220.

It should be noted that, when the mobile communication system shown in fig. 2 adopts a 5G system or a 5G next generation mobile communication technology system, the above network elements may have different names in the 5G system or the 5G next generation mobile communication technology system, but have the same or similar functions, and the embodiment of the present disclosure is not limited thereto.

It should be noted that, in the mobile communication system shown in fig. 2, a plurality of access network devices 220 and/or a plurality of terminal devices 240 may be included, and one access network device 220 and one terminal device 240 are illustrated in fig. 2, but the embodiment of the present disclosure does not limit this.

Referring to fig. 3, a flowchart of a channel estimation method according to an exemplary embodiment of the present disclosure is shown, which is illustrated in the embodiment by using the method in the terminal device shown in fig. 2. The method comprises the following steps.

Step 301, obtaining an original channel estimation value at a reference signal position.

Optionally, the terminal device receives the reference signal, and performs conjugate multiplication on the received reference signal and the stored local reference signal to obtain an original channel estimation value at the position of the reference signal.

Illustratively, the terminal device generates a raw channel estimation value RawH according to the received reference signal and the stored local reference signal by the following formula:

RawH＝RecvRS*conj(LocRS)；

where RecvRS is the received reference signal and LocRS is the stored local reference signal.

It should be noted that, the embodiment of the present disclosure does not limit the manner of obtaining the original channel estimation value at the reference signal position.

Step 302, generating a frequency domain channel estimation value according to the original channel estimation value and channel correlation information, where the channel correlation information is used to indicate channel correlation in an adjacent frequency domain and/or an adjacent time.

Optionally, the terminal device generates a frequency domain channel estimation value according to the original channel estimation value and the channel correlation information.

Wherein the channel correlation information is used for indicating the channel correlation in adjacent frequency domains and/or adjacent time.

Optionally, the channel correlation information includes at least one of an autocorrelation coefficient of the reference signal at the frequency domain position, a cross-correlation coefficient of the reference signal with other reference signals at the frequency domain position, and a channel confidence factor. The autocorrelation coefficient of the reference signal at the frequency domain position is correlated with the channel fading, the cross correlation coefficient of the reference signal and other reference signals at the frequency domain position is correlated with the frequency domain position interval of the reference signal and other reference signals and the channel fading, and the channel confidence factor is correlated with the signal-to-noise ratio of the channel. The present embodiment does not limit the information type and the information amount of the channel correlation information.

Optionally, the frequency domain channel estimation value is a channel estimation value generated based on the original channel estimation value and the channel correlation information, that is, the frequency domain channel estimation value is correlated with both the original channel estimation value and the channel correlation information.

In one possible implementation, the step 302 may be implemented instead as: and the terminal equipment generates a frequency domain channel estimation value according to the original channel estimation value. That is, the frequency domain channel estimation value is not related to the channel correlation information but only related to the original channel estimation value. Illustratively, the terminal device generates the frequency domain channel estimation value by linear or weighted addition according to the original channel estimation value.

It should be noted that, the embodiments of the present disclosure only take the case that the frequency domain channel estimation value is a channel estimation value generated based on the original channel estimation value and the channel correlation information, that is, the frequency domain channel estimation value is correlated with both the original channel estimation value and the channel correlation information.

Step 303, determining a target interference position with abnormal narrowband interference according to the original channel estimation value and the frequency domain channel estimation value.

And the terminal equipment determines the target interference position with the abnormal narrow-band interference according to the original channel estimation value and the frequency domain channel estimation value.

Optionally, the target Interference position is an Interference position at a Resource Block Interference (RBI) level or an Interference position at an REI level. I.e. the target interference location is at least one RB or at least one RE.

And step 304, repairing the target interference position to obtain a final channel estimation result.

Optionally, the terminal device repairs the target interference position by using a preset interpolation algorithm to obtain a final channel estimation result. The preset interpolation algorithm includes any one of a linear interpolation algorithm, a high-order interpolation algorithm, a Discrete Fourier Transform (DFT) interpolation algorithm and a wiener filtering interpolation algorithm.

Optionally, the terminal device performs interpolation restoration on the target interference position according to the channel estimation value of the non-target interference position of the adjacent frequency domain; and after the target interference position is removed, performing channel estimation on the rest positions by adopting a wiener filtering interpolation algorithm to obtain a final channel estimation result.

In summary, in the embodiment of the present disclosure, a terminal device generates a frequency domain channel estimation value according to an original channel estimation value and channel correlation information, and determines a target interference position with narrowband interference abnormality according to the original channel estimation value and the frequency domain channel estimation value, so as to repair the target interference position to obtain a final channel estimation result; the terminal equipment can finish high-efficiency interference identification and elimination channel estimation, the terminal equipment utilizes the channel correlation information to eliminate interference in an interference environment, different channel fading scenes can be adapted in an actual channel environment, the influence of environmental interference is reduced, the accuracy of a channel estimation result is improved, and the terminal performance in the actual scene is improved. In addition, because the channel estimation methods provided by the embodiments of the present disclosure are all completed in the frequency domain, after the terminal device completes OFDM demodulation, the situation that additional DFT conversion and iterative reconstruction are required in the related art is avoided, and the implementation complexity is low and the real-time performance is good.

Referring to fig. 4, a flowchart of a channel estimation method according to another exemplary embodiment of the present disclosure is shown, which is illustrated in the embodiment by using the method in the terminal device shown in fig. 2. The method comprises the following steps.

Step 401, obtaining an original channel estimation value at a reference signal position.

Optionally, the original channel estimation value includes an original channel estimation value corresponding to each of a plurality of frequency-domain correlation blocks, and the frequency-domain correlation blocks are used to indicate a plurality of consecutive adjacent reference signals in the frequency domain.

Optionally, the frequency-domain correlation blocks are divided according to integer multiples of RB units. For example, one frequency domain related block is one RB or two RBs or three RBs. The present embodiment does not limit the dividing method of the frequency domain correlation block.

Optionally, for each frequency-domain correlation block of the multiple frequency-domain correlation blocks, the terminal device obtains an original channel estimation value corresponding to the frequency-domain correlation block.

It should be noted that, for the process of acquiring the original channel estimation value by the terminal device, reference may be made to relevant details in the foregoing embodiments, and details are not described herein again.

Step 402, generating a channel coefficient according to the channel correlation information.

Optionally, the terminal device obtains the channel correlation information through the measurement and control module, and the embodiment of the disclosure does not limit the obtaining manner of the channel correlation information.

Optionally, the channel coefficient is a coefficient related to the channel correlation information, and is used to indicate channel correlation. Optionally, the channel coefficient and the channel correlation have a positive correlation, that is, the larger the channel coefficient, the stronger the channel correlation. This embodiment is not limited thereto.

In a possible implementation manner, the terminal device generates the channel coefficient wf according to the channel correlation information by the following formula:

wf＝R_ij*(R_ii+σ)^-1；

wherein R is_ijChannel cross-correlation coefficients for reference signals at i and j positions, R_iiThe autocorrelation coefficient of the reference signal at the position i, the channel confidence factor, the position i, the frequency domain position of the reference signal, and the position j, the frequency domain positions of other reference signals except the reference signal.

Optionally, R_ijRelated to the separation between the i and j positions and the channel fading, R_iiIn relation to channel fading, σ is related to the channel signal-to-noise ratio, e.g., σ is the value of the channel signal-to-noise ratio.

Step 403, generating a frequency domain channel estimation value according to the original channel estimation value and the channel coefficient.

Optionally, the original channel estimation value includes original channel estimation values corresponding to the multiple frequency domain correlation blocks, and the frequency domain channel estimation value includes frequency domain channel estimation values corresponding to the multiple frequency domain correlation blocks.

For each frequency domain related block in the plurality of frequency domain related blocks, the terminal device generates a frequency domain channel estimated value corresponding to the frequency domain related block according to the original channel estimated value and the channel coefficient corresponding to the frequency domain related block.

The frequency domain correlation block is used to indicate a plurality of consecutive adjacent reference signals in the frequency domain. In a possible implementation manner, for each frequency-domain correlation block in a plurality of frequency-domain correlation blocks, the terminal device sums frequency-domain channel estimation values corresponding to a plurality of reference signals in the frequency-domain correlation block, so as to obtain a frequency-domain channel estimation value corresponding to the frequency-domain correlation block. The frequency domain channel estimation value corresponding to each reference signal is the product of the channel coefficient corresponding to the reference signal and the original channel estimation value.

Optionally, for each frequency-domain correlation block in the multiple frequency-domain correlation blocks, the terminal device generates, according to the original channel estimation value and the channel coefficient, a frequency-domain channel estimation value H _ cor corresponding to the frequency-domain correlation block by using the following formula:

wherein wf is a channel coefficient of the reference signal, and RawH is an original channel estimation value corresponding to the frequency domain correlation block. Optionally, wf is a channel coefficient corresponding to a reference signal in the frequency domain correlation block, and RawH is an original channel estimation value corresponding to a reference signal in the frequency domain correlation block.

Where K is the number of reference signals contained within the frequency-domain correlation block. For example, K has a value of 6 or 12. This embodiment is not limited thereto.

Step 404, for each frequency domain correlation block of the plurality of frequency domain correlation blocks, determining a first difference factor according to the frequency domain channel estimation value and the original channel estimation value.

Wherein the first difference factor is indicative of a comparison difference between the frequency domain channel estimate and the original channel estimate.

For each of the plurality of frequency-domain correlation blocks, the terminal device determines a first difference factor based on the frequency-domain channel estimate and the original channel estimate. Namely, the terminal device determines a first difference factor corresponding to each of the plurality of frequency domain related blocks.

Optionally, the type of the first difference factor includes one of a general difference factor, an MSE difference factor and a normalized difference factor.

In one possible implementation, the type of the first difference factor is a general difference factor. For each frequency domain related block in the multiple frequency domain related blocks, the terminal device calculates a general difference factor δ corresponding to the frequency domain related block according to the frequency domain channel estimation value and the original channel estimation value by the following formula:

where rawh (i) is an original channel estimation value corresponding to the reference signal in the frequency domain related block, H _ cor (i) is a frequency domain channel estimation value corresponding to the reference signal in the frequency domain related block, K is the number of reference signals included in the frequency domain related block, and i is used to indicate the frequency domain position of the reference signal.

In another possible implementation, the type of the first difference factor is an MSE difference factor. For each frequency domain related block in the plurality of frequency domain related blocks, the terminal equipment calculates an MSE difference factor delta corresponding to the frequency domain related block according to the frequency domain channel estimation value and the original channel estimation value by the following formula_mse：

Where RawH is an original channel estimation value corresponding to the frequency domain correlation block, and H _ cor is a frequency domain channel estimation value corresponding to the frequency domain correlation block.

In another possible implementation, the type of the first difference factor is a normalized difference factor. For each frequency domain related block in the plurality of frequency domain related blocks, the terminal equipment calculates a normalized difference factor delta corresponding to the frequency domain related block according to the frequency domain channel estimation value and the original channel estimation value by the following formula_uni：

It should be noted that, in the embodiment of the present disclosure, the type of the first difference factor is not limited, and for convenience of description, only the first difference factor is taken as an MSE difference factor as an example.

Step 405, determining a target interference position with abnormal narrowband interference according to the first difference factor corresponding to each of the plurality of frequency domain related blocks.

Optionally, the determining, by the terminal device, a target interference position where the narrowband interference is abnormal according to the first difference factor corresponding to each of the plurality of frequency domain related blocks includes: calculating a first average value of first difference factors corresponding to the plurality of frequency domain related blocks respectively; and identifying the frequency domain related block corresponding to the first difference factor of which the difference value with the first average value is greater than the first preset difference value as the target interference position.

The first average value is an average value of first difference factors corresponding to the plurality of frequency domain related blocks.

The first preset difference value can be set by the terminal device in a default mode or set by a user in a self-defining mode. This embodiment is not limited thereto.

The target interference position with narrow-band interference abnormality is identified for the frequency domain related blocks which are respectively obviously higher than the average difference factor level by comparing the first difference factors corresponding to the frequency domain related blocks. The frequency domain related block can be used for identifying that the interference minimum granularity is RBI, namely, the minimum interference minimum granularity contains two CRSs, and when the interference level to be determined is REI level, the specific interfered RE position needs to be further determined. Optionally, the terminal device determines, according to the first difference factor corresponding to each of the multiple frequency domain correlation blocks, a target interference position where the narrowband interference is abnormal, where the target interference position includes, but is not limited to, the following possible implementation manners:

in a possible implementation manner, the target interference position is an interference position on a target antenna port, and since reference signals of different antenna ports are distributed in a staggered manner on a frequency domain, reference may be made to an interference position on the other antenna ports at the same frequency domain related block position where narrowband interference is abnormal, if the positions are the same, the interference level is an RBI level, and if the positions are different, the interference level is an REI level, and the terminal device determines the REI level interference position in the target interference position through the interference position where narrowband interference is abnormal.

Optionally, the terminal device obtains a first candidate interference position of a frequency domain correlation block with the same number on other antenna ports except for the target antenna port; and when the target interference position is different from the first candidate interference position, determining an interference position of the REI level in the target interference position according to the target interference position and the first candidate interference position.

Wherein the correlation block number on an antenna port is used to indicate the position of the frequency domain correlation block on the antenna port. For example, when the correlation block numbers corresponding to two frequency domain correlation blocks located on different antenna ports are the same, it indicates that the positions of the two frequency domain correlation blocks on the respective antenna ports are the same.

Optionally, when the target interference position is the same as the first candidate interference position, the interference level is an RBI level; when the target interference position is different from the first candidate interference position, the interference level is represented as an REI level, and the terminal device determines the RE position where the CRS with the abnormal narrowband interference exists in the target interference position by comparing the target interference position with the first candidate interference position.

In another possible implementation manner, the target interference position is an interference position on a target OFDM symbol, and reference signals of different OFDM symbols are distributed in a frequency domain in a staggered manner; the method further comprises the following steps:

and when the target interference position is different from the second candidate interference position, determining an interference position of the REI level in the target interference position according to the target interference position and the second candidate interference position.

Wherein, the related block number on one OFDM symbol is used to indicate the position of the frequency domain related block on the OFDM symbol. For example, when the correlation block numbers corresponding to two frequency domain correlation blocks located on different OFDM symbols are the same, it indicates that the positions of the two frequency domain correlation blocks on the respective OFDM symbols are the same.

Optionally, when the target interference position is the same as the second candidate interference position, the interference level is an RBI level; and when the target interference position is different from the second candidate interference position, the interference level is represented as an REI level, and the terminal equipment determines the RE position where the CRS with the abnormal narrow-band interference exists in the target interference position by comparing the target interference position with the second candidate interference position.

In another possible implementation manner, for the target interference position, the terminal device calculates a plurality of second difference factors on the frequency domain by using a sliding window, where the second difference factors are used to indicate comparison differences between channel estimation values corresponding to two adjacent sliding windows, and the window length of the sliding window is smaller than the length of the frequency domain correlation block on the frequency domain; calculating a second average value of the plurality of second difference factors; in the target interference position, a sliding window indicated by a second difference factor having a difference from the second average value greater than a second preset difference value is determined as an interference position of the REI level.

The sliding window is also called frequency domain sliding window, and the window length of the sliding window is smaller than the length of the frequency domain related block in the frequency domain. For example, each frequency domain correlation block is 1 RB, and the sliding window is 0.5 RB. This embodiment is not limited thereto.

The second difference factor is used for indicating a comparison difference value between the channel estimation values corresponding to the two adjacent sliding windows respectively, and the type of the second difference factor comprises one of a general difference factor, an MSE difference factor and a normalization difference factor.

Optionally, the terminal device calculates a second difference factor between two adjacent sliding windows according to the channel estimation values corresponding to the two adjacent sliding windows respectively. It should be noted that, the calculation method of the second difference factor may refer to the calculation process of the first difference factor in the foregoing embodiment, and details are not repeated here.

Optionally, the second preset difference is set by the terminal device as a default, or set by a user as a custom. This embodiment is not limited thereto.

The terminal equipment uses adjacent non-interfering CRS to perform sliding correlation with CRS in the target interference position of the RBI level, and marks the RE position with narrow-band interference abnormity (namely difference factor abnormity) as the REI position. In one illustrative example, as shown in fig. 5, the RE positions include a 0 position, a 1 position, a 2 position, a 3 position, a 4 position, and a 5 position, etc., where the REI position where the narrowband interference abnormality exists is the 2 position. When the terminal device slides the sliding window 1, the sliding window 2, the sliding window 3 and the sliding window 4 once to obtain the respective corresponding second difference factors, the second difference factors corresponding to the sliding window 2 and the sliding window 3 containing the position 2 are far higher than the average value of the respective corresponding second difference factors of the sliding windows, so that the REI-level interference position in the target interference position can be determined to be the position 2.

And step 406, repairing the target interference position to obtain a final channel estimation result.

Optionally, the terminal device repairs the target interference position or the interference position of the REI level in the target interference position, and obtains a final channel estimation result.

It should be noted that, for the process of the terminal device repairing the target interference position or the interference position at the REI level in the target interference position to obtain the final channel estimation result, reference may be made to the relevant details in the above embodiments, and details are not described herein again.

To sum up, the embodiment of the present disclosure further determines the REI-level interference position with abnormal narrow-band interference in the target interference position by comparing the interference positions of the same frequency domain related block positions on other antenna ports when the REI-level interference position needs to be determined, or comparing the interference positions of the same frequency domain related block positions on adjacent OFDM symbols, or performing sliding correlation between adjacent non-interfering CRS and reference signals in the RBI, so that the minimum identifiable interference granularity is refined to the REI level, and the effect of eliminating the narrow-band interference is further improved.

With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.

Please refer to fig. 6, which illustrates a schematic structural diagram of a channel estimation apparatus according to an embodiment of the present disclosure. The apparatus can be implemented as all or part of a terminal device through software, hardware, or a combination of both. The channel estimation device includes: an obtaining module 610, a generating module 620, a determining module 630 and an obtaining module 640.

An obtaining module 610, configured to obtain an original channel estimation value at a reference signal position;

a generating module 620, configured to generate a frequency domain channel estimation value according to the original channel estimation value and channel correlation information, where the channel correlation information is used to indicate channel correlation in an adjacent frequency domain and/or an adjacent time;

a determining module 630, configured to determine, according to the original channel estimation value and the frequency domain channel estimation value, a target interference position where the narrowband interference is abnormal;

an obtaining module 640 is configured to repair the target interference position to obtain a final channel estimation result.

In a possible implementation manner, the generating module 620 is further configured to generate a channel coefficient according to the channel correlation information; and generating a frequency domain channel estimation value according to the original channel estimation value and the channel coefficient.

In another possible implementation manner, the original channel estimation value includes original channel estimation values corresponding to a plurality of frequency domain correlation blocks, where the frequency domain correlation blocks are used to indicate a plurality of consecutive adjacent reference signals in the frequency domain;

the generating module 620 is further configured to, for each frequency-domain correlation block in the multiple frequency-domain correlation blocks, generate a frequency-domain channel estimation value H _ cor corresponding to the frequency-domain correlation block according to the original channel estimation value and the channel coefficient by using the following formula:

where wf is a channel coefficient of the reference signal, RawH is an original channel estimation value corresponding to the frequency domain correlation block, and K is the number of reference signals included in the frequency domain correlation block.

In another possible implementation manner, the generating module 620 is further configured to generate the channel coefficient wf according to the channel correlation information by using the following formula:

wf＝R_ij*(R_ii+σ)^-1；

In another possible implementation manner, the original channel estimation value includes original channel estimation values corresponding to a plurality of frequency domain correlation blocks, the frequency domain channel estimation value includes frequency domain channel estimation values corresponding to a plurality of frequency domain correlation blocks, and the frequency domain correlation blocks are used for representing a plurality of consecutive adjacent reference signals in a frequency domain;

determining module 630, further configured to:

for each of a plurality of frequency domain correlation blocks, determining a first difference factor based on the frequency domain channel estimate and the original channel estimate, the first difference factor indicating a comparison difference between the frequency domain channel estimate and the original channel estimate;

and determining the target interference position with abnormal narrow-band interference according to the first difference factors corresponding to the frequency domain related blocks respectively.

In another possible implementation manner, the determining module 630 is further configured to:

and identifying the frequency domain related block corresponding to the first difference factor of which the difference value with the first average value is greater than the first preset difference value as the target interference position.

In another possible implementation manner, the target interference position is an interference position on a target antenna port, and reference signal distributions of different antenna ports are staggered with each other on a frequency domain; determining module 630, further configured to:

and when the target interference position is different from the first candidate interference position, determining an interference position of the REI level in the target interference position according to the target interference position and the first candidate interference position.

In another possible implementation manner, the target interference position is an interference position on a target OFDM symbol, and reference signals of different OFDM symbols are distributed in a frequency domain in a staggered manner; determining module 630, further configured to:

for the target interference position, calculating a plurality of second difference factors by adopting a sliding window on a frequency domain, wherein the second difference factors are used for indicating comparison difference values between channel estimation values corresponding to two adjacent sliding windows respectively, and the window length of the sliding window is smaller than the length of a frequency domain related block on the frequency domain;

calculating a second average value of the plurality of second difference factors;

in the target interference position, a sliding window indicated by a second difference factor having a difference from the second average value greater than a second preset difference value is determined as an interference position of the REI level.

It should be noted that, when the apparatus provided in the foregoing embodiment implements the functions thereof, only the division of the above functional modules is illustrated, and in practical applications, the above functions may be distributed by different functional modules according to actual needs, that is, the content structure of the device is divided into different functional modules, so as to complete all or part of the functions described above.

Referring to fig. 7, a schematic structural diagram of a terminal device according to an exemplary embodiment of the present disclosure is shown, where the terminal device may be the terminal device 240 in the mobile communication system shown in fig. 2. In this embodiment, a terminal device is taken as an example of a UE in an LTE system or a 5G system for explanation, where the terminal device includes: a processor 71, a receiver 72, a transmitter 73, a memory 74 and a bus 75. The memory 74 is connected to the processor 71 by a bus 75.

The processor 71 includes one or more processing cores, and the processor 71 executes various functional applications and information processing by running software programs and modules.

The receiver 72 and the transmitter 73 may be implemented as one communication component, which may be a communication chip, and the communication chip may include a receiving module, a transmitting module, a modulation and demodulation module, etc. for modulating and/or demodulating information and receiving or transmitting the information through a wireless signal.

The memory 74 may be used to store instructions executable by the processor 71.

The memory 74 may store at least one application module 76 that functions as described. The application modules 76 may include: an acquisition module 761, a generation module 762, a determination module 763, and a get module 764.

The processor 71 is configured to execute the obtaining module 761 to implement the functions related to the obtaining step in the above-mentioned embodiments of the method; the processor 71 is further configured to execute the generating module 762 to implement the functions related to the generating step in the above-mentioned respective method embodiments; the processor 71 is further configured to execute the determining module 763 to implement the functions related to the determining step in the above-mentioned embodiments of the method; the processor 71 is further configured to execute the obtaining module 764 to implement the functions related to the obtaining step in the above-described method embodiments.

Further, the memory 74 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.

The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.

The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.

The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).

Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.

These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, 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/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A channel estimation method, for use in a terminal device, the method comprising:

acquiring an original channel estimation value on a reference signal position;

2. The method of claim 1, wherein generating a frequency domain channel estimate based on the raw channel estimate and channel correlation information comprises:

3. The method of claim 2, wherein the original channel estimation value comprises an original channel estimation value corresponding to each of a plurality of frequency-domain correlation blocks, and the frequency-domain correlation blocks are used for indicating a plurality of consecutive adjacent reference signals in a frequency domain;

4. The method of claim 3, wherein generating channel coefficients according to the channel correlation information comprises:

wf＝R_ij*(R_ii+σ)^-1；

5. The method of claim 1, wherein the original channel estimation value comprises an original channel estimation value corresponding to each of a plurality of frequency-domain correlation blocks, and the frequency-domain channel estimation value comprises a frequency-domain channel estimation value corresponding to each of a plurality of the frequency-domain correlation blocks, and the frequency-domain correlation blocks are used for representing a plurality of consecutive adjacent reference signals in a frequency domain;

6. The method of claim 5, wherein the type of the first difference factor comprises one of a general difference factor, a Mean Square Error (MSE) difference factor, and a normalized difference factor.

7. The method of claim 5, wherein the determining the target interference location with the narrowband interference anomaly according to the first difference factor corresponding to each of the plurality of frequency domain correlation blocks comprises:

8. The method of claim 7, wherein the target interference location is an interference location on a target antenna port, and reference signal distributions of different antenna ports are staggered from each other in a frequency domain; the method further comprises the following steps:

when the target interference position is different from the first candidate interference position, determining an interference position of a resource unit interference REI level in the target interference position according to the target interference position and the first candidate interference position.

9. The method of claim 7, wherein the target interference position is an interference position on a target OFDM symbol, and reference signal distributions of different OFDM symbols are staggered from each other in a frequency domain; the method further comprises the following steps:

10. The method of claim 7, further comprising:

calculating a second average of a plurality of said second difference factors;

11. A channel estimation apparatus, for use in a terminal device, the apparatus comprising:

12. A non-transitory computer readable storage medium having stored thereon computer program instructions, wherein the computer program instructions, when executed by a processor, implement the method of any one of claims 1 to 10.