CN113660183A - Communication method and device - Google Patents
Communication method and device Download PDFInfo
- Publication number
- CN113660183A CN113660183A CN202010395439.4A CN202010395439A CN113660183A CN 113660183 A CN113660183 A CN 113660183A CN 202010395439 A CN202010395439 A CN 202010395439A CN 113660183 A CN113660183 A CN 113660183A
- Authority
- CN
- China
- Prior art keywords
- mode
- calculating
- mmse
- mmse filter
- accessing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/0202—Channel estimation
- H04L25/024—Channel estimation channel estimation algorithms
- H04L25/0256—Channel estimation using minimum mean square error criteria
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention provides a communication method and a communication device, which are used for solving the problem that the existing method for calculating MMSE filter coefficients cannot give consideration to channel estimation in various scenes. The communication method comprises the following steps: acquiring a first parameter and/or a state of a terminal device accessing a network device, wherein the first parameter is used for representing a change condition of a channel between the terminal device and the network device, and the state of the terminal device accessing the network device comprises a process that the terminal device has completed accessing the network device or a process that the terminal device is executing accessing the network device; and determining a Minimum Mean Square Error (MMSE) filtering coefficient calculating mode adopted in channel estimation according to the first parameter and/or the state of the terminal equipment accessing to the network equipment, wherein the MMSE filtering coefficient calculating mode comprises a fixed MMSE filtering coefficient mode or a real-time MMSE filtering coefficient calculating mode.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a communication method and apparatus.
Background
In an Orthogonal Frequency Division Multiplexing (OFDM) based wireless communication system, channel estimation affects the performance of the entire wireless system. In order to achieve high-rate data transmission and good external field performance, a Minimum Mean-Squared Error (MMSE) channel estimation method is often used.
MMSE frequency domain channel estimationThe process of counting is generally: the receiver is based on the Signal-to-Noise Ratio (SNR) of the received Signal and the root mean square delay spread τ of the channelRMSAnd obtaining a group of optimal MMSE filter coefficients, and then acquiring the channel responses of all subcarriers according to an interpolation criterion (such as linear interpolation, wiener filtering and the like). The acquisition of MMSE filter coefficients is therefore the basis for the channel frequency domain estimation.
The MMSE filter coefficient calculation method can be roughly classified into a method of calculating MMSE filter coefficients in real time and a method of calculating fixed MMSE filter coefficients.
Although the MMSE filtering coefficient real-time calculation method can obtain the channel state in real time and theoretically obtain the optimal filtering effect, it depends on the SNR of the received signal and the root-mean-square delay spread τ of the channelRMSAnd the reference information may not be obtained or accurately obtained in some scenes, so that the calculated MMSE filter coefficients have larger deviation.
The method of fixing MMSE filter coefficients adopts a method of establishing a coefficient library in advance, thereby avoiding a complex real-time calculation process. However, the correlation function mismatch caused by using a fixed MMSE filter coefficient causes a certain loss to the channel estimation performance, and thus the channel with strong time-varying property cannot be better adapted.
Disclosure of Invention
The invention provides a communication method and a communication device, which are used for solving the problem that the existing method for calculating MMSE filter coefficients cannot give consideration to channel estimation in various scenes.
In a first aspect, an embodiment of the present invention provides a communication method, which is applied to a network device, and is performed by a communication device, or performed by a chip or a chip system in the network device. The method comprises the following steps: acquiring a first parameter and/or a state of a terminal device accessing a network device, wherein the first parameter is used for representing a change condition of a channel between the terminal device and the network device, and the state of the terminal device accessing the network device comprises a process that the terminal device has completed accessing the network device or a process that the terminal device is executing accessing the network device;
and determining a Minimum Mean Square Error (MMSE) filtering coefficient calculating mode adopted in channel estimation according to the first parameter and/or the state of the terminal equipment accessing to the network equipment, wherein the MMSE filtering coefficient calculating mode comprises a fixed MMSE filtering coefficient mode or a real-time MMSE filtering coefficient calculating mode.
In the above scheme, the method for adopting the fixed MMSE filter coefficient or the method for calculating the MMSE filter coefficient in real time is determined according to the state of different terminal devices accessing the network device and/or the condition of channel change, so that channel estimation under different scenes can be considered, and a better channel estimation result can be obtained compared with the method for simply adopting the fixed MMSE filter coefficient or the method for calculating the MMSE filter coefficient.
In an optional implementation manner, the first parameter includes one or more of a doppler shift parameter and channel estimation values of the previous N times, where N is a positive integer.
In an optional implementation manner, the manner of calculating MMSE filter coefficients used in determining channel estimation according to the first parameter and/or a state of a terminal device accessing to a network device includes:
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment is executing the process of accessing the network equipment, the adopted mode for calculating the MMSE filter coefficient is a mode for fixing the MMSE filter coefficient; alternatively, the first and second electrodes may be,
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment finishes the process of accessing the network equipment, the adopted method for calculating the MMSE filter coefficient is a method for calculating the MMSE filter coefficient in real time; alternatively, the first and second electrodes may be,
when the terminal equipment is accessed to the network equipment in a state that the terminal equipment finishes the process of accessing the network equipment and the Doppler frequency shift parameter is within a set range, the adopted method for calculating the MMSE filter coefficient is a method for calculating the MMSE filter coefficient in real time; alternatively, the first and second electrodes may be,
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment finishes the process of accessing the network equipment and the Doppler frequency shift parameter is out of the set range, the adopted mode for calculating the MMSE filter coefficient is a mode for fixing the MMSE filter coefficient; alternatively, the first and second electrodes may be,
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment finishes the process of accessing the network equipment, and the difference value of two adjacent channel estimation values in the previous N channel estimation values is greater than or equal to a set threshold value, the adopted MMSE filtering coefficient calculating mode is a mode of calculating the MMSE filtering coefficient in real time; alternatively, the first and second electrodes may be,
and when the state that the terminal equipment is accessed into the network equipment is that the terminal equipment finishes the process of accessing the network equipment, and the difference value of any two adjacent channel estimation values in the previous N channel estimation values is smaller than a set threshold value, the adopted MMSE filter coefficient calculating mode is a fixed MMSE filter coefficient mode.
In the foregoing embodiment, when the terminal device is executing a procedure of accessing the network device (for example, when the system is initially synchronized), the signal-to-noise ratio and the channel delay spread value, on which the MMSE filter coefficient is calculated in real time, may not be immediately obtained, and in this case, the channel estimation is performed by using a fixed MMSE filter coefficient. After the system receives various parameter values, the channel estimation can be carried out by adopting a fixed MMSE filter coefficient mode or adopting a mode of calculating the MMSE filter coefficient in real time according to the change condition of a wireless channel, so as to improve the system performance.
In an optional implementation, the method further comprises:
when the adopted mode for calculating the MMSE filter coefficients is a mode for fixing the MMSE filter coefficients, selecting a matrix of the MMSE filter coefficients of the order corresponding to the second parameter according to the configuration information, and performing channel estimation according to the matrix of the MMSE filter coefficients of the corresponding order;
the second parameter comprises one or more of Modulation and Coding Strategy (MCS) level and the proportion of the frequency domain resource called by the terminal equipment occupying the system bandwidth of the terminal equipment; the configuration information includes a corresponding relationship between the order of the matrix of the MMSE filter coefficients and the parameter range of the second parameter.
In the design, the order and modulation of the matrix of the MMSE filter coefficients are related to the MCS level of the coding strategy and the proportion of the frequency domain resources called by the terminal equipment occupying the system bandwidth of the terminal equipment, and the network equipment can switch the order of the matrix of the MMSE filter coefficients in real time according to the actual situation to improve the performance of channel estimation.
In an optional implementation, the method further comprises:
and when the adopted mode for calculating the MMSE filter coefficient is a mode for calculating the MMSE filter coefficient in real time, determining the signal-to-noise ratio of the received signal and the root-mean-square delay spread of the channel, and estimating the channel according to the signal-to-noise ratio of the received signal and the root-mean-square delay spread of the channel.
In a second aspect, an embodiment of the present invention provides a communication apparatus, which may be implemented by a network device, or a chip system in the network device, or a module in the network device for implementing functions of the network device. The communication device may include:
an obtaining module, configured to obtain a first parameter and/or a state of a terminal device accessing a network device, where the first parameter is used to characterize a change condition of a channel between the terminal device and the network device, and the state of the terminal device accessing the network device includes a process that the terminal device has completed accessing the network device or a process that the terminal device is executing accessing the network device;
and the processing module is used for determining a mode for calculating a Minimum Mean Square Error (MMSE) filter coefficient adopted in channel estimation according to the first parameter and/or the state of the terminal equipment accessing the network equipment, wherein the mode for calculating the MMSE filter coefficient comprises a mode for fixing the MMSE filter coefficient or a mode for calculating the MMSE filter coefficient in real time.
In an optional implementation manner, the first parameter includes one or more of a doppler shift parameter and channel estimation values of the previous N times, where N is a positive integer.
In an optional implementation manner, the processing module is specifically configured to:
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment is executing the process of accessing the network equipment, determining that the adopted mode for calculating the MMSE filter coefficient is a mode for fixing the MMSE filter coefficient; alternatively, the first and second electrodes may be,
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment finishes the process of accessing the network equipment, determining that the adopted mode for calculating the MMSE filter coefficient is a mode for calculating the MMSE filter coefficient in real time; alternatively, the first and second electrodes may be,
when the terminal equipment is accessed to the network equipment in a state that the terminal equipment finishes the process of accessing the network equipment and the Doppler frequency shift parameter is within a set range, determining that the adopted mode for calculating the MMSE filter coefficient is a mode for calculating the MMSE filter coefficient in real time; alternatively, the first and second electrodes may be,
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment finishes the process of accessing the network equipment and the Doppler frequency shift parameter is out of the set range, determining that the adopted mode for calculating the MMSE filter coefficient is a mode for fixing the MMSE filter coefficient; alternatively, the first and second electrodes may be,
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment finishes the process of accessing the network equipment, and the difference value of two adjacent channel estimation values in the previous N channel estimation values is larger than or equal to a set threshold value, determining that the adopted MMSE filtering coefficient calculating mode is a mode of calculating the MMSE filtering coefficient in real time; alternatively, the first and second electrodes may be,
and when the state that the terminal equipment is accessed into the network equipment is that the terminal equipment finishes the process of accessing the network equipment, and the difference value of any two adjacent channel estimation values in the previous N channel estimation values is smaller than a set threshold value, determining that the adopted mode for calculating the MMSE filter coefficient is a mode for fixing the MMSE filter coefficient.
In an optional implementation manner, the processing module is further configured to:
when the adopted mode for calculating the MMSE filter coefficient is a mode for fixing the MMSE filter coefficient, selecting a matrix of the MMSE filter coefficient of the corresponding order in the configuration information according to the second parameter, and performing channel estimation according to the matrix of the MMSE filter coefficient of the corresponding order;
the second parameter comprises one or more of Modulation and Coding Strategy (MCS) level and the proportion of the frequency domain resource called by the terminal equipment occupying the system bandwidth of the terminal equipment; the configuration information includes a corresponding relationship between the order of the matrix of the MMSE filter coefficients and the parameter range of the second parameter.
In an optional implementation manner, the processing module is further configured to:
and when the adopted mode for calculating the MMSE filter coefficient is a mode for calculating the MMSE filter coefficient in real time, determining the signal-to-noise ratio of the received signal and the root-mean-square delay spread of the channel, and estimating the channel according to the signal-to-noise ratio of the received signal and the root-mean-square delay spread of the channel.
The beneficial effects of the second aspect can be seen from the corresponding description of the first aspect, and are not described herein again.
In a third aspect, an embodiment of the present invention provides a communication apparatus, where the apparatus may be applied to a network device, and the apparatus includes a memory and a processor;
a memory for storing program instructions;
and the processor is used for calling the program instructions stored in the memory and executing the method of any implementation mode of the first aspect according to the obtained program.
In a fourth aspect, an embodiment of the present invention provides a readable storage medium, which stores instructions that, when executed on a hardware device, cause the hardware device to perform the above method.
Drawings
Fig. 1 is a schematic structural diagram of a communication system according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating MMSE filter coefficients calculated in real time according to an embodiment of the present invention;
FIG. 3 is a diagram of a fixed MMSE filter coefficient according to an embodiment of the present invention;
fig. 4 is a flowchart of a communication method according to an embodiment of the present invention;
fig. 5 is a flow chart of another communication method provided by the embodiment of the invention;
fig. 6 is a schematic structural diagram of a communication device according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of another communication device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The application scenario described in the embodiment of the present invention is for more clearly illustrating the technical solution of the embodiment of the present invention, and does not form a limitation on the technical solution provided in the embodiment of the present invention, and it can be known by a person skilled in the art that with the occurrence of a new application scenario, the technical solution provided in the embodiment of the present invention is also applicable to similar technical problems. In the description of the present invention, the term "plurality" means two or more unless otherwise specified.
Fig. 1 illustrates a communication system architecture, it should be understood that the embodiments of the present invention are not limited to the system shown in fig. 1, and moreover, the apparatus in fig. 1 may be hardware, or may be a functionally divided software, or a combination of the two. As shown in fig. 1, a system architecture provided in the embodiment of the present invention includes a terminal device and a network device. The embodiment of the invention does not limit the number of the terminal devices and the network devices included in the system.
A Terminal device (UE), also called a Terminal device, a Terminal, a Mobile Station (MS), a Mobile Terminal (MT), etc., is a device that provides voice and/or data connectivity to a User, for example, a handheld device, a vehicle-mounted device, etc. with a wireless connection function. Currently, some examples of terminals are: a Mobile phone (Mobile phone), a tablet computer, a notebook computer, a palm computer, a Mobile Internet Device (MID), a wearable Device, a Virtual Reality (VR) Device, an Augmented Reality (AR) Device, a wireless terminal in Industrial Control (Industrial Control), a wireless terminal in unmanned driving (self driving), a wireless terminal in remote surgery (remote medical supply), a wireless terminal in smart grid (smart grid), a wireless terminal in transportation safety, a wireless terminal in city (smart city), a wireless terminal in smart home (smart home), and the like.
The network device related in the embodiment of the present invention may also be referred to as a base station, AN Access Node or AN Access Node (AN for short), and provides a wireless Access service for the terminal device. The network device may be specifically an evolved Node B (eNB or eNodeB) in a Long Term Evolution (LTE) system, or a base station device (gNB) in a 5G network, which is not limited in the present invention.
Prior to introducing the embodiments provided herein, the techniques involved in the examples of the present invention will be described.
The MMSE filter coefficient calculation method can be roughly classified into a method of calculating MMSE filter coefficients in real time and a method of fixing MMSE filter coefficients.
(1) The MMSE filter coefficients can be calculated in real time by the SNR of the real-time received signal and the RMS delay spread tau of the wireless channel measured in real timeRMSSeveral sets of MMSE filter coefficients are calculated for channel estimation. The applicant has found that the wireless channel has a very complex propagation path, resulting in a large variation of the multipath delay, and that the terminal equipment may be in a real-time mobile state, resulting in SNR and τRMSThe channel change can be obtained in time by calculating the filter coefficient of the MMSE in real time, and a better MMSE filter coefficient is calculated to resist the channel with stronger time-varying property, so that a better channel estimation result is obtained. Because the power delay spectrum (PDP) and the frequency domain correlation coefficient are mutually Fourier transform pairs, if the PDP can be accurately obtained, the frequency domain correlation coefficient can be accurately obtained, and therefore, the optimal MMSE filter can be calculated in real timeWave coefficient. Therefore, the way of calculating the PDP can be adopted to obtain the MMSE filter coefficients in real time. For example, referring to fig. 2, a schematic diagram of channel estimation by calculating MMSE filter coefficients in real time is shown. According to hSRSEstimated by Power Delay Profile (PDP) in h pairSRSIn the estimation of PDP, the SNR of the received signal and the root mean square delay spread tau of the wireless channel measured in real time can be usedRMSCome to hSRSPDP estimation is performed. And generating an MMSE filter coefficient according to the result after the PDP estimation. Specifically, an autocorrelation matrix is generated for a result after PDP estimation, then the generated autocorrelation matrix is inverted, then a cross-correlation matrix is generated for the inverted autocorrelation matrix, and a filter coefficient matrix is generated according to the generated cross-correlation matrix. In FIG. 2, hSRSChannel time domain estimate, Y, representing sounding reference signalpilotIndicating the pilot signal corresponding to the channel, HLsIndicating that the reference signal corresponds to the channel estimation result, and H indicates the frequency domain filtering result. And finally, carrying out frequency domain filtering by adopting a calculated MMSE filtering coefficient to obtain a frequency domain filtering result.
(2) In the method of fixing MMSE filter coefficients, the fixed MMSE filter coefficients are generally simulated offline according to some channel models, so as to obtain some typical MMSE filter coefficients, and store the MMSE filter coefficients in a coefficient library. For example, referring to fig. 3, a diagram of channel estimation using fixed MMSE filter coefficients is shown. Specifically, some typical channel delay spread values τ can be selected according to some standard channel models and some actual measurement valuesRMSTogether with some snr sets, several sets of filter coefficients are generated in advance and stored in a coefficient bank. And finally, carrying out frequency domain filtering by adopting a fixed MMSE filtering coefficient to obtain a frequency domain filtering result.
The applicant finds that when a receiver of a base station performs channel estimation, an optimal group of filter coefficients in a coefficient base can be selected for frequency domain filtering according to a current channel delay spread value and a measured signal-to-noise ratio, so that the complexity of channel estimation by calculating MMSE filter coefficients in real time can be reduced. Channel estimation by means of fixed MMSE filter coefficients can achieve better estimation performance and lower complexity in case of not too strong channel time-variability. Therefore, the method for fixing the MMSE filter coefficients adopts the method for establishing the coefficient library in advance, so that the complex real-time calculation process is avoided, and the compromise between the complexity and the performance is realized.
Based on this, embodiments of the present invention provide a communication method and apparatus, which specifically determine, according to actual situations, a manner of adopting fixed MMSE filter coefficients or a manner of calculating MMSE filter coefficients in real time.
Referring to fig. 4, a communication method provided for the embodiment of the present invention is applied to a network device, and the method is executed by the communication device, or executed by a chip or a system of chips in the network device.
S401, a first parameter and/or a state of a terminal device accessing a network device are/is obtained, the first parameter is used for representing a change situation of a channel between the terminal device and the network device, and the state of the terminal device accessing the network device includes a process that the terminal device has completed accessing the network device or a process that the terminal device is executing accessing the network device.
Optionally, the first parameter includes one or more of a doppler shift parameter and channel estimation values of the previous N times, where N is a positive integer.
Doppler Shift (Doppler Shift) refers to a change in phase and frequency due to a propagation path difference when a mobile station moves in a certain direction at a constant rate, and such a change is generally called Doppler Shift. When moving in front of the wave source, the wave is compressed, the wavelength becomes shorter, and the frequency becomes higher; when the motion is behind the source, the opposite effect occurs, the wavelength becomes longer and the frequency becomes lower. The doppler shift parameters may include a phase variation and/or a frequency variation.
S402, determining a MMSE filter coefficient calculating mode adopted in channel estimation according to the first parameter and/or the state of the terminal equipment accessing to the network equipment, wherein the MMSE filter coefficient calculating mode comprises a fixed MMSE filter coefficient mode or a real-time MMSE filter coefficient calculating mode.
In an optional implementation manner, the manner of calculating MMSE filter coefficients used in determining channel estimation according to the first parameter and/or the state of the terminal device accessing to the network device may be implemented in any possible manner as follows.
The first possible mode is a mode of calculating MMSE filter coefficients adopted when determining channel estimation according to the state of the terminal device accessing the network device.
In the method 1, when the state of the terminal device accessing the network device is that the terminal device is executing the process of accessing the network device, the MMSE filter coefficient calculating method is a fixed MMSE filter coefficient method.
The terminal device is executing a procedure of accessing the network device, i.e. an initial synchronization procedure. In the process of accessing the base station by the terminal, before the terminal and the base station perform signaling interaction necessary for the access process and perform data transmission, the process of processing the access signaling by the base station is called as an initial synchronization process.
During initial synchronization, the network device cannot acquire the SNR and τ of the received signal on which the real-time MMSE filter coefficients depend for generationRMSAnd the network equipment performs channel estimation by adopting a fixed MMSE filter coefficient mode according to the measured values. The network device may select a set of MMSE filter coefficients from a pre-stored set of MMSE filter coefficients (i.e., a coefficient library) for frequency-domain filtering. The MMSE filter coefficients may also be referred to as an MMSE filter matrix. For example, during the initial synchronization process, the network device may perform channel estimation using an MMSE filter matrix of a default order, such as an MMSE filter matrix of 2 orders.
In the mode 2, when the state that the terminal device accesses the network device is that the terminal device has completed the process of accessing the network device, the adopted mode for calculating the MMSE filter coefficient is a mode for calculating the MMSE filter coefficient in real time.
The terminal device has completed the process of accessing the network device, i.e. the terminal device normally accesses the network device for data transmission. The network equipment receives and calculates the SNR of the received signal and the root mean square delay spread tau of the channelRMSAt this time, normal service data transmission is performed between the terminal device and the network device, it may be considered that the network device has a condition for calculating an MMSE filter coefficient in real time, and channel estimation may be performed by calculating the MMSE filter coefficient in real time.
In a second possible manner, the first parameter and the state of the terminal device accessing the network device determine a manner of calculating MMSE filter coefficients used when estimating the channel. When the state that the terminal device accesses the network device is determined to be that the terminal device has completed the process of accessing the network device, a method of calculating an MMSE filter coefficient in real time or a method of fixing the MMSE filter coefficient may be adopted when further determining channel estimation according to the first parameter.
In the method 3, the first parameter is taken as a doppler shift parameter as an example. When the state of the terminal device accessing the network device is that the terminal device has completed the process of accessing the network device, and the doppler shift parameter (such as the frequency variation or the phase variation) is within the set range, the MMSE filter coefficient is calculated in a fixed MMSE filter coefficient manner. The doppler shift parameter is in the set range, and the current speed of the terminal device moving may be slow, so a fixed MMSE filter coefficient mode may be adopted.
Optionally, when the MMSE filter coefficient calculation mode is determined to be a fixed MMSE filter coefficient mode, a matrix of MMSE filter coefficients of an order corresponding to the second parameter may be selected according to the configuration information, and channel estimation may be performed according to the matrix of MMSE filter coefficients of the corresponding order;
wherein the second parameter includes one or more of a Modulation and Coding Scheme (MCS) level, and a ratio of a frequency domain resource called by the terminal device to occupy a system bandwidth of the terminal device; the configuration information includes a corresponding relationship between the order of the matrix of the MMSE filter coefficients and the parameter range of the second parameter.
Take the second parameter as the MCS level as an example. When the MCS level is higher, for example, the MCS level >23, the current channel condition is considered to be good, and a 2-order fixed MMSE filtering matrix may be used; when the MCS level is low, such as MCS level < 23, the channel environment is considered to be relatively poor and the signal-to-noise ratio is low, an MMSE filtering matrix of order 12 may be used. In this example, the corresponding relationship shown in table 1 may be configured in the configuration information. The network device may select, according to the configuration information, an MMSE filter matrix of an order corresponding to the MCS level of the obtained terminal device in the coefficient base.
TABLE 1
| MCS level | Order of MMSE Filter matrix |
| >23 | 2 |
| <＝23 | 12 |
In the method 4, the first parameter is taken as the doppler shift parameter as an example. When the state of the terminal device accessing the network device is that the terminal device has completed the process of accessing the network device, and the doppler shift parameter (such as the frequency variation or the phase variation) is outside the set range, the MMSE filter coefficient is calculated in real time. The doppler shift parameter is outside the set range, and the current speed of the terminal device moving may be fast, so a way of calculating the MMSE filter coefficient in real time may be adopted. In particular, the reception can be acquired in real timeSNR and tau of a signal from a terminal deviceRMSWait for information, then according to SNR and tauRMSAnd generating a group of MMSE filtering matrixes according to the information, and performing frequency domain filtering according to the generated MMSE filtering matrixes.
In the method 5, the first parameter is taken as the channel estimation value of the previous N times as an example. And when the state that the terminal equipment is accessed into the network equipment is that the terminal equipment finishes the process of accessing the network equipment, and the difference value of the two adjacent channel estimation values in the previous N channel estimation values is greater than or equal to the set threshold value, determining that the adopted MMSE filtering coefficient calculating mode is a mode of calculating the MMSE filtering coefficient in real time. In the case that the difference between two adjacent channel estimation values is greater than or equal to the set threshold in the previous N channel estimation values, the current terminal device may move faster or an obstacle may exist in the moving process of the terminal device, and therefore a method of calculating the MMSE filter coefficient in real time may be adopted.
For example, taking N as 3 as an example, if the difference between two adjacent channel estimation values in the channel estimation values of the previous N times is greater than or equal to the set threshold, that is, the difference between the channel estimation values of the previous two times is greater than or equal to the set threshold, or the difference between the signal estimation values of the next two times is greater than or equal to the set threshold, it may be determined that the channel estimation is performed by calculating MMSE filter coefficients in real time.
In the method 6, the first parameter is taken as the channel estimation value of the previous N times as an example. And when the state that the terminal equipment is accessed into the network equipment is that the terminal equipment finishes the process of accessing the network equipment, and the difference value of any two adjacent channel estimation values in the previous N channel estimation values is smaller than a set threshold value, determining that the adopted mode for calculating the MMSE filter coefficient is a mode for fixing the MMSE filter coefficient. The difference between any two adjacent channel estimation values in the previous N channel estimation values is smaller than the set threshold, and the current terminal device may move at a slower speed and/or no obstacle exists in the moving process of the terminal device, so a fixed MMSE filtering coefficient mode may be adopted.
For example, taking N as 3 as an example, if the difference between any two adjacent channel estimation values in the channel estimation values of the previous N times is smaller than the set threshold, that is, the difference between the channel estimation values of the previous two times is smaller than the set threshold and the difference between the signal estimation values of the next two times is smaller than the set threshold, it may be determined to adopt a fixed MMSE filtering coefficient.
Optionally, when the MMSE filter coefficient calculation mode is determined to be a fixed MMSE filter coefficient mode, a matrix of MMSE filter coefficients of an order corresponding to the second parameter may be selected according to the configuration information, and channel estimation may be performed according to the matrix of MMSE filter coefficients of the corresponding order;
wherein the second parameter includes one or more of a Modulation and Coding Scheme (MCS) level, and a ratio of a frequency domain resource called by the terminal device to occupy a system bandwidth of the terminal device; the configuration information includes a corresponding relationship between the order of the matrix of the MMSE filter coefficients and the parameter range of the second parameter.
Taking the second parameter as the proportion of the frequency domain resource called by the terminal device occupying the system bandwidth of the terminal device as an example. For example, when the ratio of the size of the frequency domain resource called by the terminal device occupying the system bandwidth of the terminal device is smaller than or equal to the ratio threshold, the working bandwidth of the terminal device is low, and a high-order MMSE filtering matrix, such as an MMSE filtering matrix of 12-order, may be used. For example, when the ratio of the size of the frequency domain resource called by the terminal device to the system bandwidth of the terminal device is greater than the ratio threshold, the working bandwidth of the terminal device is high, and a low-order MMSE filter matrix, such as a 2-order MMSE filter matrix, may be used.
Take the second parameter as the MCS level as an example. When the MCS level is higher, for example, the MCS level >23, the current channel condition is considered to be good, and a 2-order fixed MMSE filtering matrix may be used; when the MCS level is low, such as MCS level < 23, the channel environment is considered to be relatively poor and the signal-to-noise ratio is low, an MMSE filtering matrix of order 12 may be used.
In the method 7, the first parameter is the channel estimation value and the doppler frequency parameter of the previous N times as an example. And when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment finishes the process of accessing the network equipment and meets the conditions 1 and 2, determining that the adopted mode for calculating the MMSE filter coefficient is a mode for fixing the MMSE filter coefficient. And when the condition 1 or the condition 2 is not met, determining that the adopted manner for calculating the MMSE filter coefficients is the manner for calculating the MMSE filter coefficients in real time.
In condition 1, the difference between any two adjacent channel estimation values in the previous N channel estimation values is smaller than a set threshold.
In condition 2, the doppler shift parameter (such as the amount of frequency change, or the amount of phase change) is within a set range.
Although the method for calculating the MMSE filter coefficients in real time can acquire the channel state in real time and theoretically can obtain the optimal filtering effect, the method depends on the SNR of the received signal and the rms delay spread τ of the channelRMSAnd the MMSE filtering coefficients can only show the performance of the MMSE filtering coefficients under the condition of large noise interference, and if the MMSE filtering coefficients are calculated in real time under the condition of good channel state, the MMSE filtering coefficients are not necessary, and the filtering effect is possibly poor or even worsened. Based on this, the invention comprehensively considers the characteristics of respective methods for calculating the MMSE filter coefficient and the fixed MMSE filter coefficient in real time, and provides a scheme for switching the MMSE filter coefficient and the fixed MMSE filter coefficient in real time. And when the scheme of fixed coefficient filtering is adopted, the MMSE filtering coefficient with the optimal fixed order can be automatically selected from an offline database to implement channel estimation according to the current MCS and the scheduling bandwidth of the terminal equipment, so that the problem that the fixed coefficient cannot respond to the channel change in real time is solved.
The following describes embodiments of the present invention in detail by way of example with reference to specific scenarios. Take the second parameter as the MCS as an example. Referring to fig. 5, a schematic flow chart of a communication method according to an embodiment of the present invention is shown.
S501, determining whether the initial synchronization process is performed, if so, executing S502, and if not, executing S503.
S502, determining to adopt a fixed MMSE filter coefficient, and performing S505.
And S503, determining the adopted mode for calculating the MMSE filter coefficient according to the second parameter. If the mode is to fix the MMSE filter coefficients, S502 is performed, and if the mode is to calculate the MMSE filter coefficients in real time, S504 is performed.
And S504, determining MMSE filter coefficients by means of MMSE filter coefficients calculated in real time. S509 is performed.
And S505, acquiring the MCS level. In this embodiment, the correspondence between the MCS level range and the order of the MMSE filter coefficient shown in table 1 is taken as an example.
S506, determine whether MCS >23 is satisfied, if yes, execute S507, and if no, execute S508.
And S507, adopting MMSE filter coefficients of 2 orders. S509 is performed.
And S508, adopting MMSE filter coefficients of 12 orders. S509 is performed.
S509, frequency domain filtering is performed.
Based on the same inventive concept as the method embodiment, the embodiment of the present invention further provides a communication apparatus, which may be implemented by a network device, or a chip system in the network device, or a module in the network device for implementing the function of the network device. Referring to fig. 6, the apparatus may include an obtaining module 601 and a processing module 602.
An obtaining module 601, configured to obtain a first parameter and/or a state of a terminal device accessing a network device, where the first parameter is used to characterize a change condition of a channel between the terminal device and the network device, and the state of the terminal device accessing the network device includes that the terminal device has completed a process of accessing the network device or that the terminal device is executing a process of accessing the network device;
a processing module 602, configured to determine, according to the first parameter and/or a state of the terminal device accessing to the network device, a manner used for calculating a minimum mean square error, MMSE, filter coefficient when estimating a channel, where the manner for calculating an MMSE filter coefficient includes a manner for fixing an MMSE filter coefficient or a manner for calculating an MMSE filter coefficient in real time.
In an optional implementation manner, the first parameter includes one or more of a doppler shift parameter and channel estimation values of the previous N times, where N is a positive integer.
In an optional implementation manner, the processing module 602 is specifically configured to:
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment is executing the process of accessing the network equipment, determining that the adopted mode for calculating the MMSE filter coefficient is a mode for fixing the MMSE filter coefficient; alternatively, the first and second electrodes may be,
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment finishes the process of accessing the network equipment, determining that the adopted mode for calculating the MMSE filter coefficient is a mode for calculating the MMSE filter coefficient in real time; alternatively, the first and second electrodes may be,
when the terminal equipment is accessed to the network equipment in a state that the terminal equipment finishes the process of accessing the network equipment and the Doppler frequency shift parameter is within a set range, determining that the adopted mode for calculating the MMSE filter coefficient is a mode for calculating the MMSE filter coefficient in real time; alternatively, the first and second electrodes may be,
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment finishes the process of accessing the network equipment and the Doppler frequency shift parameter is out of the set range, determining that the adopted mode for calculating the MMSE filter coefficient is a mode for fixing the MMSE filter coefficient; alternatively, the first and second electrodes may be,
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment finishes the process of accessing the network equipment, and the difference value of two adjacent channel estimation values in the previous N channel estimation values is larger than or equal to a set threshold value, determining that the adopted MMSE filtering coefficient calculating mode is a mode of calculating the MMSE filtering coefficient in real time; alternatively, the first and second electrodes may be,
and when the state that the terminal equipment is accessed into the network equipment is that the terminal equipment finishes the process of accessing the network equipment, and the difference value of any two adjacent channel estimation values in the previous N channel estimation values is smaller than a set threshold value, determining that the adopted mode for calculating the MMSE filter coefficient is a mode for fixing the MMSE filter coefficient.
In an optional implementation manner, the processing module 602 is further configured to:
when the adopted mode for calculating the MMSE filter coefficient is a mode for fixing the MMSE filter coefficient, selecting a matrix of the MMSE filter coefficient of the corresponding order in the configuration information according to the second parameter, and performing channel estimation according to the matrix of the MMSE filter coefficient of the corresponding order;
the second parameter comprises one or more of Modulation and Coding Strategy (MCS) level and the proportion of the frequency domain resource called by the terminal equipment occupying the system bandwidth of the terminal equipment; the configuration information includes a corresponding relationship between the order of the matrix of the MMSE filter coefficients and the parameter range of the second parameter.
In an optional implementation manner, the processing module 602 is further configured to:
and when the adopted mode for calculating the MMSE filter coefficient is a mode for calculating the MMSE filter coefficient in real time, determining the signal-to-noise ratio of the received signal and the root-mean-square delay spread of the channel, and estimating the channel according to the signal-to-noise ratio of the received signal and the root-mean-square delay spread of the channel.
The division of the unit in the embodiments of the present invention is schematic, and is only a logical function division, and there may be another division manner in actual implementation, and in addition, each functional unit in each embodiment of the present invention may be integrated in one processor, may also exist alone physically, or may also be integrated in one unit by two or more units. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
An embodiment of the present invention further provides another communication device, as shown in fig. 7, including:
a communication interface 701, a memory 702, and a processor 703;
the network device communicates with a terminal device through the communication interface 701, such as receiving data; a memory 702 for storing program instructions; the processor 703 is configured to call the program instructions stored in the memory 702, and execute the method executed by the network device in the foregoing embodiment according to the obtained program. The functions of the acquiring module 601 and the processing module 602 may be implemented by the processor 703.
In the embodiment of the present invention, the specific connection medium among the communication interface 701, the memory 702, and the processor 703 is not limited, for example, a bus, and the bus may be divided into an address bus, a data bus, a control bus, and the like.
In the embodiments of the present invention, the processor may be a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component, and may implement or execute the methods, steps, and logic blocks disclosed in the embodiments of the present invention. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor.
In the embodiment of the present invention, the memory may be a nonvolatile memory, such as a Hard Disk Drive (HDD) or a solid-state drive (SSD), and may also be a volatile memory, for example, a random-access memory (RAM). The memory can also be, but is not limited to, any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory in embodiments of the present invention may also be circuitry or any other device capable of performing a storage function for storing program instructions and/or data.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A method of communication, comprising:
acquiring a first parameter and/or a state of a terminal device accessing a network device, wherein the first parameter is used for representing a change condition of a channel between the terminal device and the network device, and the state of the terminal device accessing the network device comprises a process that the terminal device has completed accessing the network device or a process that the terminal device is executing accessing the network device;
and determining a Minimum Mean Square Error (MMSE) filtering coefficient calculating mode adopted in channel estimation according to the first parameter and/or the state of the terminal equipment accessing to the network equipment, wherein the MMSE filtering coefficient calculating mode comprises a fixed MMSE filtering coefficient mode or a real-time MMSE filtering coefficient calculating mode.
2. The method of claim 1, wherein the first parameter comprises one or more of a doppler shift parameter, channel estimates of the previous N times, N being a positive integer.
3. The method of claim 2, wherein the manner of calculating MMSE filter coefficients used in determining channel estimation according to the first parameter and/or the state of the terminal device accessing the network device comprises:
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment is executing the process of accessing the network equipment, the adopted mode for calculating the MMSE filter coefficient is a mode for fixing the MMSE filter coefficient; alternatively, the first and second electrodes may be,
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment finishes the process of accessing the network equipment, the adopted method for calculating the MMSE filter coefficient is a method for calculating the MMSE filter coefficient in real time; alternatively, the first and second electrodes may be,
when the terminal equipment is accessed to the network equipment in a state that the terminal equipment finishes the process of accessing the network equipment and the Doppler frequency shift parameter is within a set range, the adopted method for calculating the MMSE filter coefficient is a method for calculating the MMSE filter coefficient in real time; alternatively, the first and second electrodes may be,
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment finishes the process of accessing the network equipment and the Doppler frequency shift parameter is out of the set range, the adopted mode for calculating the MMSE filter coefficient is a mode for fixing the MMSE filter coefficient; alternatively, the first and second electrodes may be,
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment finishes the process of accessing the network equipment, and the difference value of two adjacent channel estimation values in the previous N channel estimation values is greater than or equal to a set threshold value, the adopted MMSE filtering coefficient calculating mode is a mode of calculating the MMSE filtering coefficient in real time; alternatively, the first and second electrodes may be,
and when the state that the terminal equipment is accessed into the network equipment is that the terminal equipment finishes the process of accessing the network equipment, and the difference value of any two adjacent channel estimation values in the previous N channel estimation values is smaller than a set threshold value, the adopted MMSE filter coefficient calculating mode is a fixed MMSE filter coefficient mode.
4. The method of any one of claims 1-3, further comprising:
when the adopted mode for calculating the MMSE filter coefficients is a mode for fixing the MMSE filter coefficients, selecting a matrix of the MMSE filter coefficients of the order corresponding to the second parameter according to the configuration information, and performing channel estimation according to the matrix of the MMSE filter coefficients of the corresponding order;
the second parameter comprises one or more of Modulation and Coding Strategy (MCS) level and the proportion of the frequency domain resource called by the terminal equipment occupying the system bandwidth of the terminal equipment; the configuration information includes a corresponding relationship between the order of the matrix of the MMSE filter coefficients and the parameter range of the second parameter.
5. A communications apparatus, comprising:
an obtaining module, configured to obtain a first parameter and/or a state of a terminal device accessing a network device, where the first parameter is used to characterize a change condition of a channel between the terminal device and the network device, and the state of the terminal device accessing the network device includes a process that the terminal device has completed accessing the network device or a process that the terminal device is executing accessing the network device;
and the processing module is used for determining a mode for calculating a Minimum Mean Square Error (MMSE) filter coefficient adopted in channel estimation according to the first parameter and/or the state of the terminal equipment accessing the network equipment, wherein the mode for calculating the MMSE filter coefficient comprises a mode for fixing the MMSE filter coefficient or a mode for calculating the MMSE filter coefficient in real time.
6. The apparatus of claim 5, wherein the first parameter comprises one or more of a Doppler shift parameter, channel estimates of a previous N times, N being a positive integer.
7. The apparatus of claim 6, wherein the processing module is specifically configured to
When the state that the terminal equipment is accessed to the network equipment is that the terminal equipment is executing the process of accessing the network equipment, determining that the adopted mode for calculating the MMSE filter coefficient is a mode for fixing the MMSE filter coefficient; alternatively, the first and second electrodes may be,
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment finishes the process of accessing the network equipment, determining that the adopted mode for calculating the MMSE filter coefficient is a mode for calculating the MMSE filter coefficient in real time; alternatively, the first and second electrodes may be,
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment finishes the process of accessing the network equipment and the Doppler frequency shift parameter is in a set range, determining that the adopted mode for calculating the MMSE filter coefficient is a mode for fixing the MMSE filter coefficient; alternatively, the first and second electrodes may be,
when the terminal equipment is accessed to the network equipment in a state that the terminal equipment finishes the process of accessing the network equipment and the Doppler frequency shift parameter is out of the set range, determining that the adopted mode for calculating the MMSE filter coefficient is a mode for calculating the MMSE filter coefficient in real time; alternatively, the first and second electrodes may be,
when the state that the terminal equipment is accessed to the network equipment is that the terminal equipment finishes the process of accessing the network equipment, and the difference value of two adjacent channel estimation values in the previous N channel estimation values is larger than or equal to a set threshold value, determining that the adopted MMSE filtering coefficient calculating mode is a mode of calculating the MMSE filtering coefficient in real time; alternatively, the first and second electrodes may be,
and when the state that the terminal equipment is accessed into the network equipment is that the terminal equipment finishes the process of accessing the network equipment, and the difference value of any two adjacent channel estimation values in the previous N channel estimation values is smaller than a set threshold value, determining that the adopted mode for calculating the MMSE filter coefficient is a mode for fixing the MMSE filter coefficient.
8. The apparatus of any of claims 5-7, wherein the processing module is further to:
when the adopted mode for calculating the MMSE filter coefficients is a mode for fixing the MMSE filter coefficients, selecting a matrix of the MMSE filter coefficients of the order corresponding to the second parameter according to the configuration information, and performing channel estimation according to the matrix of the MMSE filter coefficients of the corresponding order;
the second parameter comprises one or more of Modulation and Coding Strategy (MCS) level and the proportion of the frequency domain resource called by the terminal equipment occupying the system bandwidth of the terminal equipment; the configuration information includes a corresponding relationship between the order of the matrix of the MMSE filter coefficients and the parameter range of the second parameter.
9. A communications apparatus, comprising:
a memory and a processor;
a memory for storing program instructions;
a processor for calling the program instructions stored in the memory and executing the method of any one of claims 1 to 4 according to the obtained program.
10. A readable storage medium having stored thereon instructions that, when executed on a hardware device, cause the hardware device to perform the method of any of claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010395439.4A CN113660183B (en) | 2020-05-12 | 2020-05-12 | Communication method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010395439.4A CN113660183B (en) | 2020-05-12 | 2020-05-12 | Communication method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113660183A true CN113660183A (en) | 2021-11-16 |
| CN113660183B CN113660183B (en) | 2022-11-29 |
Family
ID=78476951
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010395439.4A Active CN113660183B (en) | 2020-05-12 | 2020-05-12 | Communication method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113660183B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117014260A (en) * | 2023-10-07 | 2023-11-07 | 芯迈微半导体(上海)有限公司 | Loading method and loading device for channel estimation filter coefficient |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107624234A (en) * | 2015-06-18 | 2018-01-23 | 英特尔Ip公司 | For the apparatus and method for the channel estimation coefficient for generating channel estimation filtering |
| CN109688075A (en) * | 2019-01-16 | 2019-04-26 | 武汉虹信通信技术有限责任公司 | A kind of channel estimation methods and device of wireless communication |
-
2020
- 2020-05-12 CN CN202010395439.4A patent/CN113660183B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107624234A (en) * | 2015-06-18 | 2018-01-23 | 英特尔Ip公司 | For the apparatus and method for the channel estimation coefficient for generating channel estimation filtering |
| CN109688075A (en) * | 2019-01-16 | 2019-04-26 | 武汉虹信通信技术有限责任公司 | A kind of channel estimation methods and device of wireless communication |
Non-Patent Citations (1)
| Title |
|---|
| 常志伟等: "一种LTE自适应参数MMSE信道估计算法", 《电子技术应用》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117014260A (en) * | 2023-10-07 | 2023-11-07 | 芯迈微半导体(上海)有限公司 | Loading method and loading device for channel estimation filter coefficient |
| CN117014260B (en) * | 2023-10-07 | 2024-01-02 | 芯迈微半导体(上海)有限公司 | Loading method and loading device for channel estimation filter coefficient |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113660183B (en) | 2022-11-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP2020519162A (en) | Method and apparatus for determining uplink synchronization timing deviation | |
| WO2012007810A1 (en) | Method and apparatus for determining ue mobility status | |
| JP2009111973A (en) | Method and apparatus for estimating level of interference plus noise, and computer program | |
| CN116032702B (en) | Adaptive channel estimation method, apparatus, computer device and storage medium | |
| CN109672635A (en) | A kind of relativity of time domain estimation method, device and equipment | |
| US10736105B2 (en) | Information transmission method, apparatus, and system | |
| CN113660183B (en) | Communication method and device | |
| WO2015149709A1 (en) | Noise power estimation method and network side device | |
| CN103581065B (en) | A kind of Wiener filtering channel estimation methods and device | |
| CN109150783B (en) | Channel estimation method and device | |
| JP6507260B2 (en) | Channel estimation method and apparatus, storage medium | |
| CN104253771A (en) | Multi-parameter joint estimation method and apparatus | |
| KR20180068837A (en) | Method and apparatus for frequency domain inter-carrier interference compensation | |
| CN113037402B (en) | Self-adaptive channel noise power estimation method | |
| CN114980159A (en) | Measuring method, device, baseband chip, terminal and storage medium | |
| CN109495407A (en) | A kind of channel estimation methods, device, equipment and computer readable storage medium | |
| CN115051899A (en) | Frequency offset estimation method and device and computer readable storage medium | |
| KR20160121267A (en) | Method and Device for estimating channel in a mobile communication system | |
| EP2485417A1 (en) | Method and device for selecting noise path | |
| CN113890707A (en) | Communication method, device, equipment and storage medium | |
| KR20170024317A (en) | Method and apparatus for estimating a frequency offset in a wireless communication system | |
| CN108259395B (en) | Channel estimation method and device | |
| CN113259281A (en) | DMRS (demodulation reference signal) and PTRS (packet transport reference signal) joint channel estimation method, device and receiver | |
| JP5099124B2 (en) | Wireless communication quality estimation method and apparatus | |
| CN112533248A (en) | Downlink out-of-step detection method and terminal of LTE-G system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |