CN113194050A - Parameter estimation method, device, storage medium and terminal - Google Patents
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Abstract
The invention provides a parameter estimation method, a parameter estimation device, a storage medium and a terminal, wherein the method comprises the following steps: measuring signals in N TRS sub-bands of tracking reference signals in a first time period to obtain first signal-to-noise ratios of the N TRS sub-bands, wherein the N TRS sub-bands are obtained by carrying out frequency domain division on frequency domain bandwidths of TRSs, and N is an integer larger than 0; selecting a TRS sub-band corresponding to a first signal-to-noise ratio larger than a first threshold value from the N TRS sub-bands as a first target TRS sub-band; and performing parameter estimation on the channel by adopting the signal in the first target TRS subband, thereby selecting the TRS subband meeting the condition from the TRS, and performing parameter estimation by selecting the TRS subband without the interference signal, thereby improving the accuracy of the parameter estimation of the channel.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a parameter estimation method, apparatus, storage medium, and terminal.
Background
In a New Radio (NR) communication system, a User Equipment (UE) may perform channel parameter estimation using a Tracking Reference Signal (TRS), specifically, may perform parameter estimation such as time offset, frequency offset, doppler spread, and delay spread of a channel by using a Synchronization Signal Block (SSB) and a TRS.
In the prior art, after each UE succeeds in random access, a network side (e.g., a base station) configures a TRS signal for the UE. The protocol stipulates that a terminal only needs to take TRS signals of 52 RB Resource Blocks (RBs) at most when carrying out parameter estimation of a channel, but the TRS bandwidth configured on the network side can be the bandwidth of the whole bandwidth part (BWP), or any section of continuous RBs in the BWP, and the number of the RBs is not less than 52 RBs. The full bandwidth TRS is adopted to carry out the parameter estimation of the channel, or a section of continuous RB (the continuous RB is not less than 52) is randomly selected from the configured TRS frequency domain bandwidth to carry out the parameter estimation of the channel, the channel measurement value of the data channel is difficult to accurately reflect, especially under the condition of same frequency interference or even different system interference, the measurement estimation error is easily caused, and the parameter estimation of the channel is inaccurate, so that the downlink demodulation performance is influenced.
Therefore, it is desirable to provide a parameter estimation method, apparatus, storage medium and terminal to solve the above problems in the prior art.
Disclosure of Invention
The invention aims to provide a parameter estimation method, a parameter estimation device, a storage medium and a terminal, which can effectively improve the accuracy of a parameter estimation result of a channel.
To achieve the above object, the parameter estimation method of the present invention includes:
measuring signals in N TRS sub-bands in a first time period to obtain first signal-to-noise ratios of the N TRS sub-bands;
selecting the TRS sub-band corresponding to a first signal-to-noise ratio larger than a first threshold value from at least part of the TRS sub-bands as a first target TRS sub-band;
and estimating the parameters of the channel by adopting the signals in the first target TRS subband.
The invention has the beneficial effects that: and selecting the TRS sub-band corresponding to the first signal-to-noise ratio larger than the first threshold value as a first target TRS sub-band to estimate the channel according to the first signal-to-noise ratio of each TRS sub-band, so that the accuracy of parameter estimation can be effectively improved.
In a possible implementation, before the measuring signals in subbands of the tracking reference signal TRS and obtaining the signal-to-noise ratio of each subband, the method further includes:
receiving a tracking reference signal TRS from a network device; and dividing the TRS into N TRS sub-bands according to the frequency domain resource information of the TRS, wherein the N TRS sub-bands occupy different frequency domain resources, and N is an integer greater than 0. The beneficial effects are that: the TRS signal is divided into a plurality of different TRS sub-bands so as to improve the accuracy of parameter estimation of a subsequent channel and reduce narrow-band interference.
In one possible implementation, the signal within the first target TRS subband is measured for a second time period, which occurs after the first time period, to obtain a second signal-to-noise ratio of the first target TRS subband;
when the second signal-to-noise ratio meets a set condition, measuring signals in the TRS sub-bands to obtain a third signal-to-noise ratio of each TRS sub-band; selecting the TRS sub-band corresponding to a third signal-to-noise ratio larger than a first threshold value from the N TRS sub-bands as a second target TRS sub-band; performing parameter estimation of a channel by using the signal in the second target TRS subband; the setting condition includes that the second signal-to-noise ratio is smaller than the first threshold, or a difference between the second signal-to-noise ratio and a first signal-to-noise ratio of the first target TRS subband in a first time period is larger than a second threshold.
The method has the beneficial effects that: and when the second signal-to-noise ratio of the selected TRS sub-band does not meet the set condition, selecting the TRS sub-band corresponding to the third signal-to-noise ratio larger than the first threshold value as a second target TRS sub-band to perform parameter estimation of the channel, so that the new TRS sub-band is dynamically updated in time to perform parameter estimation of the channel when the TRS sub-band does not meet the requirement, and the accuracy of the parameter estimation result of the channel is always ensured.
In one possible implementation, during the first period, measuring signals in each TRS subband of the tracking reference signal to obtain a first snr for each TRS subband, the method further includes:
and filtering the signals in each TRS subband.
In one possible implementation, the frequency domain resource of the first target TRS subband or the second target TRS subband is greater than or equal to 52 resource blocks RB.
The invention also provides a parameter estimation device, comprising:
the measurement module is used for measuring signals in each TRS sub-band of the tracking reference signals in a first time period to obtain a first signal-to-noise ratio of each TRS sub-band;
a selection module, configured to select, from at least some of the TRS subbands, the TRS subband corresponding to a first signal-to-noise ratio greater than a first threshold as a first target TRS subband;
and the estimation module is used for carrying out parameter estimation of a channel by adopting the signals in the first target TRS subband.
The parameter estimation device of the invention has the advantages that: the parameter estimation device comprises a measurement module, a selection module and an estimation module, and the TRS sub-band meeting the requirement is selected in the frequency domain through the modules, so that the accuracy of the parameter estimation of the channel is effectively improved.
Embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the above-mentioned method.
An embodiment of the present invention further provides a terminal, including: a processor and a memory;
the memory is used for storing a computer program;
the processor is configured to execute the computer program stored in the memory to cause the terminal to perform the above-mentioned method.
The terminal of the invention has the beneficial effects that: in the process of executing the method, the terminal selects the optimal sub-band meeting the requirements in the frequency domain, so that the reference signal for parameter estimation of the channel is ensured to be in the optimal sub-band, and the accuracy of the parameter estimation of the channel is effectively improved.
Drawings
Fig. 1 is a schematic diagram illustrating a scheduling distribution of BWP, TRS and interference signals in a time-frequency domain in the prior art;
FIG. 2 is a schematic overall flow chart of a parameter estimation method according to an embodiment of the present invention;
fig. 3 is a schematic diagram of scheduling distribution of BWP, TRS sub-bands and interference signals in a time-frequency domain according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of the operation of the parameter estimation method according to some embodiments of the present invention;
fig. 5 is a block diagram of a parameter estimation 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 technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. 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. Unless defined otherwise, technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs. As used herein, the word "comprising" and similar words are intended to mean that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items.
As shown in fig. 1, fig. 1 is a schematic diagram of a scheduling distribution of a BWP, a TRS, and an interference signal in a time-frequency domain in the prior art. As can be seen from fig. 1, if the TRS bandwidth configured at the network side may be the bandwidth of the whole bandwidth part (BWP), the measurement estimation error may be caused by the interference signal; if the TRS bandwidth configured on the network side is any continuous RB in the BWP, and the number of the RB is not less than 52 RB. Similarly, any selected continuous RB may be affected by an interference signal, and it is difficult to accurately reflect the channel measurement value of the data channel, especially in the case of co-channel interference or even inter-system interference, measurement estimation errors are easily caused, and the downlink demodulation performance is affected due to inaccurate channel parameter estimation.
In order to solve the above problem, an embodiment of the present invention provides a parameter estimation method, as shown in fig. 2, where the method may be executed by a terminal device, and the terminal device may divide a TRS into N TRS subbands in advance, where the method includes the following steps:
s211, in a first time period, the terminal device measures signals in the N TRS sub-bands to obtain first signal-to-noise ratios of the N TRS sub-bands.
S212, from the N TRS subbands, the terminal device selects a TRS subband corresponding to a first signal-to-noise ratio greater than a first threshold as a first target TRS subband.
S213, the terminal device performs parameter estimation of the channel by using the signal in the first target TRS subband.
In the method, in order to select a proper TRS sub-band to perform parameter estimation of a channel, terminal equipment divides the TRS, performs signal-to-noise ratio calculation on each divided TRS sub-band to obtain a first signal-to-noise ratio, selects a TRS sub-band corresponding to the first signal-to-noise ratio larger than a first threshold value as a first target TRS sub-band, thereby selecting a sub-band satisfying conditions in the whole tracking reference signal TRS, and subsequently performs parameter estimation of the channel according to the selected first target TRS sub-band to improve the accuracy of the parameter estimation of the channel.
In some embodiments, the parameter estimation includes at least time offset estimation, frequency offset estimation, doppler spread, and delay spread of the channel.
In some embodiments, the terminal device measures signals in each TRS subband, and further performs subband division on the TRS before obtaining the signal-to-noise ratio of each subband, where the specific process includes:
receiving a TRS from a network device; and dividing the TRS into N TRS sub-bands according to the frequency domain resource information of the TRS, wherein the N TRS sub-bands occupy different frequency domain resources, and N is an integer greater than 0.
As shown in fig. 3, the tracking reference signal TRS may be affected by the interference signal due to the existence of the interference signal, so that the tracking reference signal TRS is divided into a plurality of TRS subbands, which facilitates selection of the TRS subbands subsequently, so as to improve accuracy of parameter estimation of the channel.
In still other embodiments, before the performing of the method, the method further includes determining whether the first target TRS subband needs to be selected, and the specific process includes:
judging whether a current channel is configured with a tracking reference signal TRS for the first time or whether the parameter of the tracking reference signal TRS is reconfigured;
and if the TRS is judged to be configured for the first time or the parameter sending reconfiguration of the TRS is judged, judging that a sub-band selection process needs to be carried out on the TRS so as to improve the accuracy of parameter estimation of a subsequent channel.
In some embodiments, after the first target TRS subband is selected, the previously selected first target TRS subband may not necessarily satisfy the requirement in the next time period due to the influence of the interference signal, and therefore, in the next time period, after it is determined that the first target TRS subband does not satisfy the requirement, the snr calculation is performed again on each subband of the tracking reference signal TRS to select the second target TRS subband satisfying the condition.
In one possible implementation, the signal within the first target TRS subband is measured for a second time period, which occurs after the first time period, to obtain a second signal-to-noise ratio of the first target TRS subband;
when the second signal-to-noise ratio meets a set condition, measuring signals in the TRS sub-bands to obtain a third signal-to-noise ratio of each TRS sub-band;
selecting the TRS sub-band corresponding to a third signal-to-noise ratio larger than a first threshold value from the N TRS sub-bands as a second target TRS sub-band;
performing parameter estimation of a channel by using the signal in the second target TRS subband;
the setting condition includes that the second signal-to-noise ratio is smaller than the first threshold, or a difference between the second signal-to-noise ratio and a first signal-to-noise ratio of the first target TRS subband in a first time period is larger than a second threshold.
It should be noted that, the first threshold and the second threshold are preset, and are set differently for different terminals and network devices, which is not described herein again.
In the above process, when the second snr of the first target TRS subband satisfies the set condition, the snr of each TRS subband needs to be calculated to select the second target TRS subband satisfying the condition.
Specifically, the setting condition includes that the second signal-to-noise ratio is smaller than the first threshold, or a difference between the second signal-to-noise ratio and a first signal-to-noise ratio of the first target TRS subband in a first time period is larger than a second threshold, that is, in a second time period, after the second signal-to-noise ratio of the first target TRS subband is obtained, it is determined that the second signal-to-noise ratio is smaller than the first threshold or the difference between the second signal-to-noise ratio and the first signal-to-noise ratio of the first target TRS subband in the first time period is larger than the second threshold, it is indicated that the current first target TRS subband is affected by the interference signal and cannot meet the requirement, and a new subband needs to be reselected.
Whether the signal-to-noise ratio of the currently selected target TRS sub-band meets the set condition or not is judged in different time periods, and a new target TRS sub-band is selected from the TRS again to carry out parameter estimation of the channel after the set condition is met, so that the influence of interference signals is reduced to the maximum extent, and the accuracy of the parameter estimation of the channel is improved.
In some embodiments, in the first time period, before the first signal-to-noise ratio of each TRS subband is obtained by measuring a signal in each tracking reference signal TRS subband, filtering the signal in each TRS subband, and reducing the influence of an interference signal on the tracking reference signal by a filtering process to improve the accuracy of parameter estimation of a subsequent channel.
In some embodiments, the frequency domain resource of the first target TRS subband or the second target TRS subband is greater than or equal to 52 resource blocks, RBs.
To further explain the scheme of the present application, in some possible embodiments, fig. 4 is a schematic diagram of a working process of the parameter estimation method in some embodiments of the present invention, as shown in fig. 4, first determining whether a tracking reference signal is configured for the first time or a parameter sending reconfiguration of a tracking reference signal TRS is performed to determine whether a condition for starting subband polling is satisfied, if the condition is satisfied, calculating a total number of TRS subbands that can be divided by the TRS in the frequency domain, initializing a position of next polling as a frequency domain position corresponding to a first TRS subband, configuring hardware according to the frequency domain position, then obtaining a signal-to-noise ratio of the TRS subband according to a hardware configuration result until obtaining a signal-to-noise ratio of each TRS subband, and finding out a target subband with a largest signal-to-noise ratio from all the TRS subbands, thereby finding a position of the target subband.
If the condition for starting subband polling is not met, after the target subband is found, judging whether the condition for restarting subband polling is met, namely the signal-to-noise ratio of the current target subband is smaller than the first threshold value, or the difference value between the signal-to-noise ratio of the current target subband and the signal-to-noise ratio of the current target subband in a first period is larger than a second threshold value, if the condition for restarting subband polling is met, starting a new round of subband polling process, initializing the position of next polling as the frequency domain position corresponding to the first TRS subband and configuring hardware, then acquiring the signal-to-noise ratio of the TRS subband according to the hardware configuration result until the signal-to-noise ratio of each TRS subband is obtained, and finding out the maximum signal-to-noise ratio from all the TRS subbands as the target subband so as to find the position of the target subband; and if the condition for restarting the sub-band polling is not met, configuring hardware according to the position of the target sub-band, and judging whether the condition for starting the sub-band polling is met again.
The invention also discloses a parameter estimation device, as shown in fig. 5, comprising:
a measuring module 501, configured to measure signals in N TRS subbands in a first period to obtain first signal-to-noise ratios of the N TRS subbands;
a selecting module 502, configured to select, from the N TRS subbands, the TRS subband corresponding to a first signal-to-noise ratio greater than a first threshold as a first target TRS subband;
an estimating module 503, configured to perform parameter estimation of a channel by using the signal in the first target TRS subband.
It should be noted that the structure and principle of the parameter estimation apparatus correspond to the steps in the parameter estimation method one to one, and thus are not described herein again.
It should be noted that the division of the modules of the above system is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the selection module 502 may be a separately established processing element, or may be integrated into a chip of the system, or may be stored in a memory of the system in the form of program code, and a processing element of the system calls and executes the functions of the above x modules. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more Digital Signal Processors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, when one of the above modules is implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. For another example, these modules may be integrated together and implemented in the form of a System-On-a-Chip (SOC).
The invention also discloses a storage medium on which a computer program is stored, which computer program, when being executed by a processor, performs the above-mentioned method.
The storage medium of the invention has stored thereon a computer program which, when being executed by a processor, carries out the above-mentioned method. The storage medium includes: a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, a usb disk, a Memory card, or an optical disk, which can store program codes.
The invention also discloses a terminal, which comprises a memory and a processor, wherein the memory is stored with a computer program capable of running on the processor, and the processor executes the method when running the computer program.
In one possible implementation, the memory is for storing a computer program; preferably, the memory comprises: various media that can store program codes, such as ROM, RAM, magnetic disk, U-disk, memory card, or optical disk.
The processor is connected with the memory and is used for executing the computer program stored in the memory so as to enable the terminal to execute the method.
Preferably, the Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware component.
Although the embodiments of the present invention have been described in detail hereinabove, it is apparent to those skilled in the art that various modifications and variations can be made to these embodiments. However, it is to be understood that such modifications and variations are within the scope and spirit of the present invention as set forth in the following claims. Moreover, the invention as described herein is capable of other embodiments and of being practiced or of being carried out in various ways.
Claims (8)
1. A method of parameter estimation, the method comprising:
measuring signals in N TRS sub-bands of tracking reference signals in a first time period to obtain first signal-to-noise ratios of the N TRS sub-bands, wherein the N TRS sub-bands are obtained by carrying out frequency domain division on frequency domain bandwidths of TRSs, and N is an integer larger than 0;
selecting a TRS sub-band corresponding to a first signal-to-noise ratio larger than a first threshold value from the N TRS sub-bands as a first target TRS sub-band;
and estimating the parameters of the channel by adopting the signals in the first target TRS subband.
2. The method of claim 1, wherein before measuring signals within the N TRS subbands to obtain the first snr for the N TRS subbands, the method further comprises:
receiving a TRS from a network device;
the N TRS subbands are obtained by frequency-domain dividing a frequency-domain bandwidth of a TRS, and include:
and according to the frequency domain resource information of the TRS, dividing the frequency domain bandwidth of the TRS into N TRS sub-bands, wherein the N TRS sub-bands occupy different frequency domain resources.
3. The method according to claim 1 or 2,
measuring a signal within the first target TRS subband for a second time period, the second time period occurring after the first time period, to obtain a second signal-to-noise ratio of the first target TRS subband;
when the second signal-to-noise ratio meets a set condition, measuring signals in the TRS sub-bands to obtain a third signal-to-noise ratio of each TRS sub-band;
selecting the TRS sub-band corresponding to a third signal-to-noise ratio larger than a first threshold value from the N TRS sub-bands as a second target TRS sub-band;
performing parameter estimation of a channel by using the signal in the second target TRS subband;
the setting condition includes that the second signal-to-noise ratio is smaller than the first threshold, or a difference between the second signal-to-noise ratio and a first signal-to-noise ratio of the first target TRS subband in a first time period is larger than a second threshold.
4. The method according to any one of claims 1 to 3, wherein, during the first time period, the measured signal in each TRS subband of the tracking reference signal is used to obtain a first signal-to-noise ratio of each TRS subband, and before, further comprising:
and filtering the signals in each TRS subband.
5. The method of any of claims 1 to 3, wherein the frequency domain resource of the first target TRS sub-band or the second target TRS sub-band is greater than or equal to 52 Resource Blocks (RBs).
6. An apparatus for parameter estimation, comprising:
the measurement module is used for measuring signals in each TRS sub-band of the tracking reference signals in a first time period to obtain a first signal-to-noise ratio of each TRS sub-band;
a selection module, configured to select, from at least some of the TRS subbands, the TRS subband corresponding to a first signal-to-noise ratio greater than a first threshold as a first target TRS subband;
and the estimation module is used for carrying out parameter estimation of a channel by adopting the signals in the first target TRS subband.
7. A computer-readable storage medium, having stored thereon a computer program, characterized in that the computer program, when being executed by a processor, implements the method of any of claims 1 to 5.
8. A terminal, comprising: a processor and a memory;
the memory is used for storing a computer program;
the processor is configured to execute the computer program stored by the memory to cause the terminal to perform the method of any of claims 1 to 5.
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Application publication date: 20210730 |