CN114980159A - Measuring method, device, baseband chip, terminal and storage medium - Google Patents
Measuring method, device, baseband chip, terminal and storage medium Download PDFInfo
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Abstract
The embodiment of the application discloses a measuring method, a measuring device, a baseband chip, a terminal and a storage medium, and belongs to the technical field of communication. The method comprises the following steps: performing channel parameter estimation based on the reference signal to obtain a parameter estimation result; determining a target filter from at least two candidate filters based on the parameter estimation result; performing channel filtering processing on the reference signal through a target filter to obtain a reference signal filtering result, wherein the channel filtering processing is used for filtering interference and noise in the reference signal; a measurement term is calculated based on a reference signal and the reference signal filtering result. By adopting the method provided by the embodiment of the application, the measurement accuracy of the terminal side can be improved.
Description
Technical Field
The embodiment of the application relates to the technical field of communication, in particular to a measuring method, a measuring device, a baseband chip, a terminal and a storage medium.
Background
In a communication system, a network side often needs to perform radio resource management according to a measurement report reported by a terminal side.
For example, after the terminal side performs cell measurement based on the measurement parameters configured by the network side, the terminal side reports the cell measurement result to the network side. And when the network side determines that the cell switching condition is met based on the cell measurement result, the terminal is triggered to carry out cell switching, so that the service quality of the terminal is ensured.
Therefore, the accuracy of the measurement result at the terminal side directly affects the accuracy of the radio resource management at the subsequent network side, and therefore, it becomes important to improve the measurement accuracy at the terminal side.
Disclosure of Invention
The embodiment of the application provides a measuring method, a measuring device, a baseband chip, a terminal and a storage medium. The technical scheme is as follows:
in one aspect, an embodiment of the present application provides a measurement method, where the method includes:
performing channel parameter estimation based on the reference signal to obtain a parameter estimation result;
determining a target filter from at least two candidate filters based on the parameter estimation result;
performing channel filtering processing on the reference signal through the target filter to obtain a reference signal filtering result, wherein the channel filtering processing is used for filtering interference and noise in the reference signal;
a measurement term is calculated based on the reference signal and the reference signal filtering result.
In another aspect, an embodiment of the present application provides a measurement apparatus, where the apparatus includes:
the parameter estimation module is used for carrying out channel parameter estimation based on the reference signal to obtain a parameter estimation result;
a determining module, configured to determine a target filter from at least two candidate filters based on the parameter estimation result;
the filtering module is used for performing channel filtering processing on the reference signal through the target filter to obtain a reference signal filtering result, and the channel filtering processing is used for filtering interference and noise in the reference signal;
a calculation module to calculate a measurement term based on the reference signal and the reference signal filtering result.
In another aspect, embodiments of the present application provide a baseband chip, which includes a programmable logic circuit and/or program instructions, and when the baseband chip is operated, is used to implement the measurement method according to the above aspect.
In another aspect, an embodiment of the present application provides a terminal, where the terminal includes a processor and a memory; the memory has stored therein at least one instruction, at least one program, set of codes or set of instructions that is loaded and executed by the processor to implement the measurement method as described in the above aspect.
In another aspect, the present application provides a computer-readable storage medium, in which at least one computer program is stored, and the computer program is loaded and executed by a processor to implement the measurement method according to the above aspect.
In another aspect, embodiments of the present application provide a computer program product including computer instructions stored in a computer readable storage medium. The processor of the terminal reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the terminal performs the measurement method provided in the various alternative implementations of the above aspects.
Because the filtering performances of different filtering algorithms under different scenes are different, in the embodiment of the application, the terminal selects a target filter suitable for the current scene from at least two candidate filters based on the parameter estimation result of the reference signal, and performs channel filtering on the reference signal through the target filter, so as to perform measurement item calculation based on the reference signal and the filtering result of the reference signal; by adopting the scheme provided by the embodiment of the application, the self-adaptive selection of the filter under different scenes can be realized, the accuracy of the measurement items obtained by calculation is improved, and the accuracy of the wireless resource management of the network side based on the measurement result of the terminal side is further improved.
Drawings
Fig. 1 is an architecture diagram of a mobile communication system provided in an exemplary embodiment of the present application;
FIG. 2 illustrates a flow chart of a measurement method provided by an exemplary embodiment of the present application;
FIG. 3 is a schematic diagram of an implementation of a measurement process shown in an exemplary embodiment of the present application;
FIG. 4 illustrates a flow chart of a measurement method provided by another exemplary embodiment of the present application;
FIG. 5 is a flow chart illustrating a parameter estimation process according to an exemplary embodiment of the present application;
FIG. 6 is a schematic diagram illustrating an implementation of a parameter estimation and filtering process according to an exemplary embodiment of the present application;
FIG. 7 illustrates a schematic structural diagram of a measurement device provided in an exemplary embodiment of the present application;
fig. 8 is a block diagram illustrating a terminal device according to an exemplary embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
Reference herein to "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
Generally, the network side completes radio resource management based on its own status and combined with the report of the mobile terminal, where the reported content includes periodic and aperiodic measurement items and various triggered events defined by 3GPP (3rd Generation Partnership Project). In order to accurately reflect the state of the terminal, the 3GPP defines the measurement precision requirements for different measurement items of the physical layer, and after the terminal completes the measurement operation for different measurement items in the physical layer, the terminal reports the measurement result to the high layer through multiple cycles of filtering and combining, and then sends the measurement result to the network side by the high layer according to the definition of the measurement report.
For the measurement at the terminal side, the terminal in the related art generally uses a fixed strategy to complete the measurement in all scenes, for example, the terminal uses a fixed filtering algorithm to perform filtering processing on the reference signal, and then completes the measurement based on the filtering result. However, the above scheme can only ensure the measurement accuracy under certain scenes/conditions, and the measurement performance of the terminal under various scene coverage still has a large rise space.
In view of this, in the embodiment of the present application, the terminal selects, based on a parameter estimation result of the reference signal, a target filter applicable to a current scene from at least two candidate filters, and performs channel filtering on the reference signal through the target filter, so as to perform measurement item calculation based on the reference signal and the reference signal filtering result, implement adaptive selection of filters in different scenes, and contribute to improving accuracy of obtaining a measurement item by calculation, thereby improving accuracy of performing radio resource management on a network side based on a measurement result of the terminal side.
The measurement method illustrated in the embodiment of the present application may be applied to a mobile communication system as illustrated in fig. 1, which includes a network device 110 and a terminal 120.
The network device 110 may be a base station, which is a device deployed in an access network to provide wireless communication functions for terminals. The base stations may include various forms of macro base stations, micro base stations, relay stations, access points, and the like. In systems using different radio access technologies, names of devices having a base station function may be different, for example, in an LTE (Long Term Evolution) system, the device is called eNodeB or eNB; in a 5G NR-U system, it is called gNodeB or gNB. The description of "base station" may change as communication technology evolves. In this embodiment, the apparatus for providing a wireless communication function for a terminal is collectively referred to as a network device.
Alternatively, in the mobile communication system shown in fig. 1, the different network devices 110 correspond to respective wireless signal coverage areas (circular areas with the network devices 110 as centers), the wireless signal coverage areas are referred to as cells, and intersections exist between the coverage areas of the different cells. In other possible embodiments, the same network device 110 may correspond to multiple cells, and each cell corresponds to a different identifier, which is not limited in this embodiment.
The terminal 120 may include various handheld devices, vehicle mounted devices, wearable devices, computing devices, internet of things devices or other processing devices connected to a wireless modem with wireless communication functions, as well as various forms of user equipment, Mobile Stations (MSs), terminals (terminal devices), and so on. For convenience of description, the above-mentioned devices are collectively referred to as a terminal.
In a possible application scenario, the network device 110 issues a measurement configuration parameter to the terminal 120, and the terminal 120 performs periodic measurement on a cell (which may include a serving cell and a neighboring cell) in an idle state or a connected state of a Radio Resource Control (RRC) according to the parameter, and reports a measurement report to the network device 110.
The measurement method provided by the embodiment of the application is used for the measurement stage of the terminal. The terminal 120 performs channel parameter estimation based on the reference signal sent by the network device 110, and selects a target filter suitable for the current scene to filter the reference signal based on the parameter estimation result, thereby calculating a measurement item based on the reference signal before and after filtering, and completing reporting of the measurement result.
After receiving the measurement report, the network device 110 determines whether the terminal 120 satisfies the cell reselection or cell handover condition based on the cell quality of each cell indicated by the measurement report. When it is determined that the terminal 120 satisfies the cell reselection or cell handover condition, the network device 110 triggers the terminal 120 to perform cell reselection or cell handover.
It should be noted that, the above embodiment only takes the cell measurement and reporting scenario as an example for description, and the measurement method may also be used in measurement scenarios of other terminal sides, which is not limited in this embodiment of the present application.
Referring to fig. 2, a flowchart of a measurement method provided in an exemplary embodiment of the present application is shown. In this embodiment, the method is described as an example of being applied to the terminal 120 shown in fig. 1, and the method may include the following steps:
In order to determine the characteristics of a channel through which a signal passes in the transmission process, a terminal first needs to perform preliminary channel estimation to obtain a parameter estimation result, and a basis is provided for a subsequent adaptive selection filter.
Optionally, the Reference Signal includes at least one of CRS (Cell Reference Signal), SRS (Sounding Reference Signal), CSI-RS (Channel State Information-Reference Signal), PTRS (Phase tracking Reference Signal), and DMRS (DeModulation Reference Signal), which is not limited in this embodiment.
The parameter estimation result may reflect an environmental quality of a current channel environment, and optionally, the parameter estimation result includes at least one of a Signal to Interference plus Noise Ratio (SINR), a delay parameter, and a doppler parameter, which is not limited in this embodiment of the present invention.
In a possible embodiment, as a preamble step of channel parameter estimation, after receiving IQ (in-phase Quadrature) data (including a reference signal and traffic data), a terminal performs preprocessing on the IQ data, converts the processed IQ data from a time domain to a frequency domain through FFT (Fast Fourier Transform), and demodulates (demod) the reference signal from the processed IQ data.
In order to cover a complex real scene, particularly the performances at both ends of a high signal-to-noise ratio and a low signal-to-noise ratio, the terminal selects a target filter suitable for the current channel environment for subsequent filtering processing based on a parameter estimation result so as to achieve the purpose of improving the accuracy of noise interference estimation.
In one possible embodiment, at least two candidate filters are provided in the terminal, and different filters are adapted to different channel environments. The terminal determines a target channel environment based on a parameter estimation result obtained by channel parameter estimation, and selects a filter with better filtering performance in the target channel environment to perform channel filtering, namely, the filtering performance of the target filter is superior to that of other candidate filters in the target channel environment.
Alternatively, the candidate filter may include a DFT (Discrete Fourier Transform) filter, an MMSE (Minimum Mean Square Error) filter, a wiener filter, an SRRC (Square Root Raised Cosine) filter, and the like, which is not limited in the embodiment of the present application.
With respect to the number of candidate filters, in one possible design, the number of candidate filters is related to the number of divided channel environments. For example, there is a one-to-one correspondence between the channel environment and the candidate filter.
And 203, performing channel filtering processing on the reference signal through the target filter to obtain a reference signal filtering result, wherein the channel filtering processing is used for filtering interference and noise in the reference signal.
Noise is a signal other than the useful signal in the field of signal detection; interference is the adverse effect of physical quantities not used to convey useful information on physical quantities used to convey useful information. Noise and interference not only degrade the signal quality, but also affect the accuracy of the measurement.
The accuracy of the parameter estimation result obtained by directly estimating the channel parameters based on the reference signal is relatively low, in order to further improve the accuracy of channel estimation, the terminal performs channel filtering processing on the reference signal through the target filter to obtain a signal with interference and noise removed, and then the interference and noise level of the channel can be determined based on the signal and the original reference signal to obtain a more accurate channel estimation result.
In step 204, a measurement term is calculated based on the reference signal and the reference signal filtering result.
In one possible implementation, the terminal determines the environmental quality of the current channel environment based on the reference signal and the reference signal filtering result, and calculates the measurement term based on the environmental quality.
Optionally, the measurement item includes at least one of SINR, RSRQ (Reference Signal Receiving Quality), RSRP (Reference Signal Receiving Power), and time-Frequency Offset (TO/FO).
Optionally, the terminal further reports the calculated measurement items to the network side, so that the network side performs radio resource management based on the measurement items.
In some embodiments, after the terminal completes measurement in one measurement period through the steps 201 to 204, reporting the measurement item corresponding to the single measurement period to the network side; in other embodiments, in order to further improve the accuracy of measurement reporting, the terminal performs filtering processing on the measurement items obtained in at least two measurement periods to obtain a target measurement item, so as to perform measurement reporting based on the target measurement item.
The terminal may perform an average filtering process, a limiting filtering process, a moving average filtering process, and the like on the measurement items of at least two measurement periods, which is not limited in this embodiment.
In summary, because the filtering performances of different filtering algorithms in different scenes are different, in the embodiment of the present application, the terminal selects a target filter suitable for a current scene from at least two candidate filters based on a parameter estimation result of a reference signal, and performs channel filtering on the reference signal through the target filter, thereby performing measurement item calculation based on the reference signal and a filtering result of the reference signal; by adopting the scheme provided by the embodiment of the application, the self-adaptive selection of the filter under different scenes can be realized, the accuracy of the measurement items obtained by calculation is improved, and the accuracy of the wireless resource management of the measurement results of the network side on the terminal side is further improved.
In an illustrative example, as shown in fig. 3, when two kinds of candidate filters are provided, the measurement process at the terminal side includes the following steps.
And step 301, preprocessing.
The terminal performs preprocessing (measpre-process) of the time domain part on the IQ data, including frequency offset compensation, drop compensation of the filter, and the like.
And the terminal performs FFT processing on the preprocessed IQ data and converts the IQ data from a time domain space to a frequency domain space.
And the terminal demodulates the data of the time domain space to obtain the reference signal contained in the data.
And step 304, estimating parameters.
Based on the reference signal obtained by demodulation, the terminal performs parameter Estimation (Para Estimation) of the channel to obtain a parameter Estimation result.
Based on the result of parameter estimation, the terminal performs Measurement Method selection (Measurement Method Decision), and determines a target filter from two candidate filters (a filter and B filter) for subsequent filtering processing.
The terminal is provided with an A filter and a B filter, if the Measurement Method Decision selects the A filter as a target filter, the terminal performs channel filtering processing on the reference signal through the A filter, if the Measurement Method Decision selects the B filter as the target filter, the terminal performs channel filtering processing on the reference signal through the B filter, and after the terminal performs channel filtering processing, a reference signal filtering result is obtained.
And the terminal performs measurement Post-processing (Meas Post-process) based on the filtering result to obtain an accurate noise estimation result, and then completes the calculation of each measurement item.
In order to further improve the measurement performance, in other illustrative examples, the terminal may further be provided with three filters, the three filters are respectively suitable for channel environments with high signal-to-noise ratio, medium signal-to-noise ratio, and low signal-to-noise ratio, the terminal determines a target channel environment based on the parameter result, and selects a filter with better filtering performance in the current environment from the three filters to perform channel filtering. Of course, more filters may be provided in the terminal, and the number of candidate filters is not limited in the embodiment of the present application.
Referring to fig. 4, a flowchart of a measurement method provided in another exemplary embodiment of the present application is shown, where the present embodiment takes the method as an example for the terminal 120 shown in fig. 1 to describe, the method may include the following steps:
The step 201 may be referred to in the implementation manner of this step, and this embodiment is not described herein again.
Optionally, the terminal is preset with a corresponding relationship between a channel environment and a filter (for example, a filter with optimal filtering performance in different channel environments), and after a parameter estimation result is obtained, the terminal first determines a target channel environment based on the parameter estimation result, and then determines a target filter based on the target channel environment and the corresponding relationship.
In a possible implementation manner, a parameter estimation result obtained by the terminal performing parameter estimation includes an initial SINR, and the terminal determines a target channel environment based on the initial SINR result, that is, measures a current channel environment from a noise interference perspective.
Under the condition that the initial SINR is larger than the SINR threshold value, the terminal determines that the target channel environment is a high signal-to-noise ratio environment; and under the condition that the initial SINR is smaller than the SINR threshold value, the terminal determines that the target channel environment is a low signal-to-noise ratio environment.
Regarding the value of the SINR threshold, in order to improve the robustness of adaptive filter selection and avoid the problem of large difference in filtering performance caused by selecting different filters near the SINR threshold, in a possible embodiment, the SINR threshold is located within a target SINR range, where the difference in filtering performance of at least two candidate filters within the target SINR range is smaller than the difference in filtering performance of at least two candidate filters outside the target SINR range.
In some embodiments, the target SINR range is a medium SINR range, and the SINR threshold is a median of the target SINR range. In the medium SINR range, the filtering performances of different filters are similar, that is, near the SINR threshold, and even if different filters are selected for filtering, the filtering performance difference is small. For example, the SINR threshold may be 5db when the target SINR range is 0-10 db. When the initial SINR is larger than 5db, the terminal determines that the current channel environment is a high signal-to-noise ratio environment; and when the initial SINR is less than 5db, the terminal determines that the current channel environment is a low signal-to-noise ratio environment.
It should be noted that, the medium SINR range may refer to a protocol or a standard, and the SINR threshold may also be set based on a simulation result, and the embodiment of the present application does not limit a specific value.
In order to further improve the accuracy of measurement, on the basis of the initial SINR, the terminal may further determine a target channel environment in combination with other parameter items in the parameter estimation result.
In another possible implementation, the parameter estimation result includes the initial SINR, and at least one of a delay parameter and a doppler parameter, where the delay parameter includes at least one of delay offset (delayshift) and delay spread (delayspread), and the doppler parameter includes at least one of doppler frequency offset (dopplershift) and doppler spread (dopplerspread). Correspondingly, when the target channel environment is determined based on the parameter estimation result, the terminal determines a target SINR interval to which the initial SINR belongs, and at least one of a target delay parameter interval to which the delay parameter belongs and a target doppler parameter interval to which the doppler parameter belongs, so that the target channel environment is determined based on a combination of the target SINR interval and at least one of the target delay parameter interval and the target doppler parameter interval.
Because the propagation of radio waves in a wireless channel is not a single path, and after the signals are subjected to multipath propagation, a time delay phenomenon and/or a Doppler effect can occur to the signals received by the terminal, the time delay offset, the time delay expansion, the Doppler frequency offset and the Doppler expansion in the parameter estimation result are used for channel environment estimation, so that the subsequent estimation result is more accurate, and further, the calculation of each subsequent measurement item is better completed.
In some embodiments, the terminal sets a correspondence between an interval combination and a channel environment, and after determining an interval to which each parameter in the parameter estimation result belongs, the terminal determines a target channel environment based on the correspondence, where the interval combination is an SINR interval + a delay parameter interval, an SINR interval + a doppler parameter interval, or an SINR interval + a delay parameter interval + a doppler parameter interval.
In an illustrative example, the correspondence between the interval combinations and the channel environments is shown in table one.
Watch 1
| SINR interval | Time delay parameter interval | Interval of Doppler parameters | Channel environment |
| a 1 -b 1 | c 1 -d 1 | e 1 -f 1 | First class letterRoad environment |
| a 1 -b 1 | c 2 -d 2 | e 2 -f 2 | Secondary channel environment |
| a 2 -b 2 | c 1 -d 1 | e 1 -f 1 | Three-level channel environment |
| a 2 -b 2 | c 2 -d 2 | e 2 -f 2 | Four-level channel environment |
Optionally, the terminal is provided with a correspondence between the channel environment and the candidate filter. And based on the determined target channel environment and the corresponding relation, the terminal determines a target filter with the optimal filtering effect in the current channel environment.
In one possible embodiment, in a case where the channel environment is divided into a high signal-to-noise ratio environment and a low signal-to-noise ratio environment, the at least two candidate filters include a DFT filter and an MMSE filter.
When a target filter is determined from at least two candidate filters based on a target channel environment, the terminal determines an MMSE filter as the target filter under a high signal-to-noise ratio environment; under the environment of low signal-to-noise ratio, the terminal determines the DFT filter as a target filter.
In a low snr environment, due to the IFFT (Inverse Fast Fourier Transform) gain characteristic, DFT filtering can effectively improve the resolution of extracting a useful signal from a received signal (including interference/noise) based on CIR (Channel Impulse Response)/PDP (Power Delay Profile) information of a Channel, but, under the environment of high signal-to-noise ratio, the noise term is very small, if DFT filtering is adopted, when the signal term and the noise term are distinguished, the non-noise term can be easily treated as noise, thereby influencing parameter estimation, at this time, if MMSE filtering is adopted, the MMSE filter can generate a group of filter coefficients from the aspect of statistical characteristics, and the risk of introducing non-noise terms as noise processing is reduced, namely the MMSE filter has better filtering performance than a DFT filter under the condition of high signal-to-noise ratio.
In another possible implementation manner, when the channel environment is divided into finer granularities, for example, when the channel environment is divided into at least three levels, the terminal may determine the target filter from at least three filters based on the target channel environment, where the optimal filters used in different channel environments may be determined through simulation and set in the terminal, which is not limited in this application.
And step 404, performing channel filtering processing on the reference signal through the target filter to obtain a reference signal filtering result, wherein the channel filtering processing is used for filtering interference and noise in the reference signal.
The step 203 may be referred to in the implementation manner of this step, and this embodiment is not described herein again.
Since the reference signal filtering result is that noise and interference are filtered on the basis of the reference signal, in a possible implementation, the terminal performs subtraction on the reference signal and the reference signal filtering result to obtain a noise estimation result.
Because the filter suitable for the current channel environment is adopted for channel filtering, the accuracy of the noise estimation result is higher, and correspondingly, the accuracy of the measurement item calculated based on the noise estimation result is higher.
Regarding the calculation manner of the measurement term, in one possible implementation manner, the terminal determines the target SINR based on the ratio between the noise estimation result and the reference signal filtering result; RSRP, RSRQ, and the like are calculated based on the reference signal filtering result, and the embodiment of the present application does not limit a specific calculation manner.
In this embodiment, filters with optimal filtering performance are set for different channel environments, and the current channel environment is determined based on the parameter estimation result, so that a target filter is determined based on the current channel environment, a reference signal is filtered, and accuracy of measurement results in various channel environments is improved.
In addition, the terminal integrates the parameter items of other dimensions except SINR in the parameter estimation result into the determination process of the channel environment, so that the channel environment division with finer granularity is realized, the accuracy of the determined channel environment is further improved, and the accuracy of the subsequent measurement result is improved.
Since the accuracy of the parameter estimation directly affects the accuracy of the subsequent filter selection, a more accurate parameter estimation can make the subsequent measurements more accurate. Referring to fig. 5, a flowchart of a channel parameter estimation process provided by an exemplary embodiment of the present application is shown.
In the parameter processing part, the terminal firstly carries out frequency domain windowing on the reference signal to reduce CIR/PDP side lobe leakage after IFFT, wherein the frequency domain windowing is represented as point multiplication on the frequency domain, which is to reduce the distance of the time domain after pulse compression to side lobes, and the frequency response of the matched filter is windowed, the side lobes are more, which means that the signal power is leaked, the main lobe is weakened, namely the amplitude precision is reduced, the side lobe leakage is reduced, and the amplitude precision is improved.
Further, the terminal performs frequency-domain to time-domain conversion on the windowed reference to obtain an initial CIR.
In a low snr scenario, due to the IFFT gain characteristics, DFT filtering (channel-based CIR/PDP information) effectively improves the resolution of extracting a useful signal from a received signal (containing interference/noise).
And 505, performing signal-to-noise ratio estimation based on the initial PDP to obtain an initial SINR.
Further, after the parameter estimation, the terminal obtains a parameter estimation result, and then selects an appropriate filter for channel filtering based on the parameter estimation result, in a possible implementation manner, the terminal performs channel filtering processing on the reference signal through the target filter to obtain a reference signal filtering result, including:
under the condition that the target filter is a DFT filter, the terminal performs FFT (Fast Fourier Transform) and Frequency domain windowing (Remove Window) processing on the time domain denoising result to obtain a target CFR (Channel Frequency Response);
and under the condition that the target filter is the MMSE filter, the terminal sets filter parameters of the MMSE filter based on the parameter estimation result, so that the reference signal is subjected to channel filtering processing through the MMSE filter to obtain the target CFR.
Schematically, as shown in fig. 6, when the target channel environment is a low signal-to-noise ratio environment, the terminal determines the DFT filter as the target filter, the DFT filter performs FFT on the time domain denoising result generated in the parameter estimation process, converts the signal to the frequency domain, and then performs frequency domain windowing, and the DFT filter obtains a complete DFT filter output, that is, the target CFR.
And when the target channel environment is a high signal-to-noise ratio environment, the terminal determines the MMSE filter as the target filter, the MMSE filter generates MMSE filter coefficients according to the parameter estimation result and then conducts MMSE filtering based on the MMSE filter coefficients, and the MMSE filter completes MMSE filtering process to obtain the target CFR.
Please refer to fig. 7, which shows a schematic structural diagram of a measurement apparatus according to an exemplary embodiment of the present application. The measuring device includes:
a parameter estimation module 710, configured to perform channel parameter estimation based on the reference signal to obtain a parameter estimation result;
a determining module 720, configured to determine a target filter from at least two candidate filters based on the parameter estimation result;
a filtering module 730, configured to perform channel filtering processing on the reference signal through the target filter to obtain a reference signal filtering result, where the channel filtering processing is used to filter interference and noise in the reference signal;
a calculation module 740 configured to calculate a measurement term based on the reference signal and the reference signal filtering result.
Optionally, the determining module 720 is configured to:
determining a target channel environment based on the parameter estimation result;
and determining the target filter from at least two candidate filters based on the target channel environment, wherein different candidate filters are suitable for different channel environments.
Optionally, the parameter estimation result includes an initial SINR;
in the process of determining the target channel environment based on the parameter estimation result, the determining module 720 is configured to:
determining that the target channel environment is a high signal-to-noise ratio environment under the condition that the initial SINR is greater than an SINR threshold;
determining that the target channel environment is a low signal-to-noise ratio environment if the initial SINR is less than the SINR threshold.
Optionally, the at least two candidate filters include a DFT filter and an MMSE filter;
in determining the target filter from at least two candidate filters based on the target channel environment, the determining module 720 is configured to:
determining the MMSE filter as the target filter under the high signal-to-noise ratio environment;
and under the low signal-to-noise ratio environment, determining the DFT filter as the target filter.
Optionally, the SINR threshold is located in a target SINR range, where a difference between filtering performances of at least two candidate filters in the target SINR range is smaller than a difference between filtering performances of at least two candidate filters outside the target SINR range.
Optionally, the parameter estimation result includes an initial SINR, and at least one of a delay parameter and a doppler parameter, where the delay parameter includes at least one of a delay offset and a delay spread, and the doppler parameter includes at least one of a doppler frequency offset and a doppler spread;
in the process of determining the target channel environment based on the parameter estimation result, the determining module 720 is configured to:
determining a target SINR interval to which the initial SINR belongs, and at least one of a target delay parameter interval to which the delay parameter belongs and a target Doppler parameter interval to which the Doppler parameter belongs;
and determining the target channel environment based on a combination of a target SINR interval and at least one of the target delay parameter interval and the target Doppler parameter interval.
Optionally, the parameter estimation module 710 is configured to:
performing frequency domain windowing on the reference signal;
performing IFFT processing on the reference signal subjected to frequency domain windowing processing to obtain an initial CIR;
determining an initial PDP based on the initial CIR;
performing time delay estimation based on the initial PDP to obtain a time delay parameter, wherein the time delay parameter comprises at least one of time delay offset and time delay expansion;
performing signal-to-noise ratio estimation based on the initial PDP to obtain an initial SINR;
performing time domain denoising processing based on the initial PDP to obtain a time domain denoising result;
performing Doppler estimation based on a time domain denoising result to obtain Doppler parameters, wherein the Doppler parameters comprise at least one of Doppler frequency offset and Doppler spread;
and determining the initial SINR and at least one of the time delay parameter and the Doppler parameter as the parameter estimation result.
Optionally, the filtering module 730 is configured to:
under the condition that the target filter is a DFT filter, performing FFT and frequency domain windowing processing on the time domain denoising result to obtain a target CFR;
setting filter parameters of an MMSE filter based on the parameter estimation result under the condition that the target filter is the MMSE filter; and performing channel filtering processing on the reference signal through the MMSE filter to obtain the target CFR.
Optionally, the calculating module 740 is configured to:
performing noise estimation based on the reference signal and the reference signal filtering result to obtain a noise estimation result;
calculating the measurement item based on the noise estimation result, wherein the measurement item comprises at least one of target SINR, RSRQ, RSRP and time-frequency offset.
Optionally, the apparatus further comprises:
a reporting module, configured to: filtering the measurement items obtained in at least two measurement periods to obtain a target measurement item; and carrying out measurement report based on the target measurement item.
In summary, because the filtering performances of different filtering algorithms in different scenes are different, in the embodiment of the present application, the terminal selects a target filter suitable for a current scene from at least two candidate filters based on a parameter estimation result of a reference signal, and performs channel filtering on the reference signal through the target filter, thereby performing measurement item calculation based on the reference signal and a filtering result of the reference signal; by adopting the scheme provided by the embodiment of the application, the self-adaptive selection of the filter under different scenes can be realized, the accuracy of the measurement items obtained by calculation is improved, and the accuracy of the wireless resource management of the network side based on the measurement result of the terminal side is further improved.
It should be noted that, when the apparatus provided in the foregoing embodiment implements the functions thereof, only the division of the above functional modules is illustrated, and in practical applications, the above functions may be distributed by different functional modules according to actual needs, that is, the content structure of the device is divided into different functional modules, so as to complete all or part of the functions described above.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Referring to fig. 8, a block diagram of a terminal device according to an exemplary embodiment of the present application is shown. The terminal device in the present application may comprise one or more of the following components: a processor 1210 and a memory 1220.
Optionally, the processor 1210 may interface various components within the overall terminal device using various interfaces and lines to perform various functions of the terminal device and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 1220, as well as invoking data stored in the memory 1220. Alternatively, the processor 1210 may be implemented in hardware using at least one of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 1210 may integrate one or more of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a Neural-Network Processing Unit (NPU), a baseband chip, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing contents required to be displayed by the touch display screen; the NPU is used for realizing an Artificial Intelligence (AI) function; the baseband chip is used for processing wireless communication. It is understood that the baseband chip may not be integrated into the processor 1210, and may be implemented by a single chip.
The Memory 1220 may include a Random Access Memory (RAM) or a Read-Only Memory (ROM). Optionally, the memory 1220 includes a non-transitory computer-readable medium. The memory 1220 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 1220 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing various method embodiments described below, and the like; the storage data area may store data (such as audio data, a phonebook) created according to the use of the terminal device, and the like.
In addition, those skilled in the art will appreciate that the terminal device shown in the above figures is not limited in structure, and that the terminal device may include more or less components than those shown, or some components may be combined, or a different arrangement of components may be used. For example, the terminal device further includes a display component, an input unit, a sensor, an audio circuit, a speaker, a microphone, a power supply, and other components, which are not described herein again.
Embodiments of the present application further provide a baseband chip, which includes a programmable logic circuit and/or program instructions, and when the baseband chip operates, the baseband chip is configured to implement the measurement method according to the foregoing embodiments.
The embodiment of the present application further provides a computer-readable storage medium, in which at least one computer instruction is stored, and the at least one computer instruction is loaded and executed by a processor to implement the measurement method according to the embodiment.
Embodiments of the present application also provide a computer program product, which includes computer instructions stored in a computer-readable storage medium; the processor of the terminal reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the terminal performs the measurement method as described in the above embodiments.
Those skilled in the art will recognize that, in one or more of the examples described above, the functions described in the embodiments of the present application may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The above description is only exemplary of the present application and should not be taken as limiting, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (15)
1. A method of measurement, the method comprising:
performing channel parameter estimation based on the reference signal to obtain a parameter estimation result;
determining a target filter from at least two candidate filters based on the parameter estimation result;
performing channel filtering processing on the reference signal through the target filter to obtain a reference signal filtering result, wherein the channel filtering processing is used for filtering interference and noise in the reference signal;
a measurement term is calculated based on the reference signal and the reference signal filtering result.
2. The method of claim 1, wherein determining a target filter from at least two candidate filters based on the parameter estimation comprises:
determining a target channel environment based on the parameter estimation result;
and determining the target filter from at least two candidate filters based on the target channel environment, wherein different candidate filters are suitable for different channel environments.
3. The method according to claim 2, wherein the parameter estimation result includes an initial SINR;
the determining a target channel environment based on the parameter estimation result includes:
determining that the target channel environment is a high signal-to-noise ratio environment under the condition that the initial SINR is greater than an SINR threshold;
determining that the target channel environment is a low signal-to-noise ratio environment if the initial SINR is less than the SINR threshold.
4. The method of claim 3, wherein at least two of the candidate filters comprise a DFT filter and an MMSE filter;
the determining the target filter from at least two of the candidate filters based on the target channel environment comprises:
determining the MMSE filter as the target filter under the high signal-to-noise ratio environment;
under the low signal-to-noise ratio environment, determining the DFT filter as the target filter.
5. The method of claim 3, wherein the SINR threshold is within a target SINR range, and wherein a difference in filtering performance of at least two of the candidate filters within the target SINR range is less than a difference in filtering performance of at least two of the candidate filters outside the target SINR range.
6. The method of claim 2, wherein the parameter estimation result comprises an initial SINR, and at least one of a delay parameter and a doppler parameter, wherein the delay parameter comprises at least one of a delay offset and a delay spread, and the doppler parameter comprises at least one of a doppler offset and a doppler spread;
the determining a target channel environment based on the parameter estimation result includes:
determining a target SINR interval to which the initial SINR belongs, and at least one of a target delay parameter interval to which the delay parameter belongs and a target Doppler parameter interval to which the Doppler parameter belongs;
and determining the target channel environment based on a combination of a target SINR interval and at least one of the target delay parameter interval and the target Doppler parameter interval.
7. The method according to any one of claims 1 to 6, wherein the performing channel parameter estimation based on the reference signal to obtain a parameter estimation result comprises:
performing frequency domain windowing on the reference signal;
performing IFFT processing on the reference signal subjected to frequency domain windowing processing to obtain an initial CIR;
determining an initial PDP based on the initial CIR;
performing time delay estimation based on the initial PDP to obtain a time delay parameter, wherein the time delay parameter comprises at least one of time delay offset and time delay expansion;
performing signal-to-noise ratio estimation based on the initial PDP to obtain an initial SINR;
performing time domain denoising processing based on the initial PDP to obtain a time domain denoising result;
performing Doppler estimation based on a time domain denoising result to obtain Doppler parameters, wherein the Doppler parameters comprise at least one of Doppler frequency offset and Doppler spread;
and determining the initial SINR and at least one of the time delay parameter and the Doppler parameter as the parameter estimation result.
8. The method of claim 7, wherein the performing channel filtering processing on the reference signal by the target filter to obtain a reference signal filtering result comprises:
under the condition that the target filter is a DFT filter, performing FFT and frequency domain windowing processing on the time domain denoising result to obtain a target CFR;
setting filter parameters of an MMSE filter based on the parameter estimation result under the condition that the target filter is the MMSE filter; and performing channel filtering processing on the reference signal through the MMSE filter to obtain the target CFR.
9. The method of any of claims 1 to 6, wherein said calculating a measurement term based on said reference signal and said reference signal filtering result comprises:
performing noise estimation based on the reference signal and the reference signal filtering result to obtain a noise estimation result;
calculating the measurement item based on the noise estimation result, wherein the measurement item comprises at least one of target SINR, RSRQ, RSRP and time-frequency offset.
10. The method of any of claims 1 to 6, further comprising:
filtering the measurement items obtained in at least two measurement periods to obtain a target measurement item;
and carrying out measurement report based on the target measurement item.
11. A measuring device, characterized in that the device comprises:
the parameter estimation module is used for carrying out channel parameter estimation based on the reference signal to obtain a parameter estimation result;
a determining module, configured to determine a target filter from at least two candidate filters based on the parameter estimation result;
the filtering module is used for performing channel filtering processing on the reference signal through the target filter to obtain a reference signal filtering result, and the channel filtering processing is used for filtering interference and noise in the reference signal;
a calculation module to calculate a measurement term based on the reference signal and the reference signal filtering result.
12. A baseband chip comprising programmable logic circuits and/or program instructions for implementing a measurement method according to any one of claims 1 to 10 when the baseband chip is operating.
13. A terminal, characterized in that the terminal comprises a processor and a memory; the memory has stored therein at least one instruction, at least one program, set of codes or set of instructions that is loaded and executed by the processor to implement the measurement method of any of claims 1 to 10.
14. A computer-readable storage medium, in which at least one computer program is stored, which is loaded and executed by a processor to implement a measurement method according to any one of claims 1 to 10.
15. A computer program product, characterized in that the computer program product or computer program comprises computer instructions, the computer instructions being stored in a computer readable storage medium; the computer instructions are read from the computer-readable storage medium by a processor of a terminal, and the processor executes the computer instructions to cause the terminal to perform the measurement method according to any one of claims 1 to 10.
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