CN114598573B - Method and device for estimating energy ratio of each resource element - Google Patents
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- H04J—MULTIPLEX COMMUNICATION
- H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
- H04J11/0069—Cell search, i.e. determining cell identity [cell-ID]
- H04J11/0073—Acquisition of primary synchronisation channel, e.g. detection of cell-ID within cell-ID group
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- H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
- H04J11/0069—Cell search, i.e. determining cell identity [cell-ID]
- H04J11/0076—Acquisition of secondary synchronisation channel, e.g. detection of cell-ID group
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Abstract
The application provides a method and a device for estimating energy ratio of each resource element, which extract PSS frequency domain signals and SSS frequency domain signals from SSB frequency domain signals; obtaining a frequency domain channel estimation of the PSS and a frequency domain channel estimation of the SSS through least square channel estimation; respectively carrying out noise reduction treatment on the frequency domain channel estimation of the PSS and the frequency domain channel estimation of the SSS; calculating and filtering according to the PSS frequency domain channel estimation after noise reduction and the SSS frequency domain channel estimation to obtain a filtered first channel error estimation and a filtered second channel error estimation; and determining the ratio of the EPRE of the PSS to the EPRE of the SSS according to the filtered first channel error estimation and the filtered second channel error estimation, and realizing accurate estimation of the ratio of the EPRE of the PSS to the EPRE of the SSS, so that the PSS resources can be utilized by the channel estimation and the signal measurement, the quantity of the available resources is increased, and the cell search success rate and the signal measurement precision are improved.
Description
Technical Field
The present application relates to the field of wireless communications, and in particular, to a method and apparatus for estimating an energy ratio of each resource element.
Background
SSBs (Synchronization Signal and PBCH Block, synchronization signals and PBCH blocks) are introduced in the 3gpp 5g standard, and when a UE (User Equipment) is to access the network, signal measurement needs to be performed on the SSBs, so as to perform beam selection/recovery.
SSB is composed of PSS (Primary Synchronization Signal ), SSS (Secondary Synchronization Signal, secondary synchronization signal), PBCH (Physical Broadcast Channel ) and DMRS thereof (Demodulation Reference Signal, demodulation reference signal), wherein EPREs (Energy Per Resource Element ) of SSS, PBCH and DMRS thereof are the same, and the ratio of EPREs of PSS to SSS is 0dB or 3dB, and UE cannot determine the ratio of EPREs of PSS to SSS.
Disclosure of Invention
In view of this, the present application provides a method and a device for estimating the energy ratio of resource elements, which are used for estimating the ratio of EPRE of PSS to EPRE of SSS, and the technical scheme is as follows:
a method of estimating an energy per resource element EPRE ratio, the method comprising:
acquiring a current SSB frequency domain signal, wherein the SSB frequency domain signal is obtained by transforming an SSB time domain signal;
extracting a frequency domain signal of a primary synchronization signal PSS and a frequency domain signal of a secondary synchronization signal SSS from the SSB frequency domain signal;
performing least square channel estimation on the frequency domain signal of the PSS and the local signal sequence of the acquired PSS in advance to obtain frequency domain channel estimation of the PSS, and performing least square channel estimation on the frequency domain signal of the SSS and the local signal sequence of the acquired SSS in advance to obtain frequency domain channel estimation of the SSS;
respectively carrying out noise reduction treatment on the PSS frequency domain channel estimation and the SSS frequency domain channel estimation to obtain a noise-reduced PSS frequency domain channel estimation and a noise-reduced SSS frequency domain channel estimation;
calculating a first channel error estimate and a second channel error estimate according to the PSS frequency domain channel estimate after noise reduction and the SSS frequency domain channel estimate after noise reduction;
respectively carrying out filtering processing on the first channel error estimation and the second channel error estimation to obtain a filtered first channel error estimation and a filtered second channel error estimation;
and determining the ratio of the EPRE of the PSS to the EPRE of the SSS according to the filtered first channel error estimation and the filtered second channel error estimation.
Preferably, the method further comprises: when the ratios of the EPRE of PSS corresponding to the continuous N SSB frequency domain signals with the same index to the EPRE of SSS are the same, performing channel estimation by adopting PSS and/or SSS and/or DMRS, wherein N is a positive integer greater than or equal to 3.
Preferably, the method further comprises: when the ratio of the EPRE of the PSS corresponding to the current SSB frequency domain signal to the EPRE of the SSS is different from the ratio of the EPRE of the PSS corresponding to the SSB frequency domain signal with the same index as the M consecutive previous SSB frequency domain signals, performing channel estimation only by using the SSS and/or the DMRS, wherein M is a positive integer.
Preferably, the noise reduction processing is performed on the frequency domain channel estimation of the PSS and the frequency domain channel estimation of the SSS, to obtain the frequency domain channel estimation of the PSS after noise reduction and the frequency domain channel estimation of the SSS after noise reduction, including:
performing Inverse Fast Fourier Transform (IFFT) on the frequency domain channel estimation of the PSS and the frequency domain channel estimation of the SSS respectively to obtain the time domain channel estimation of the PSS and the time domain channel estimation of the SSS;
respectively carrying out filtering treatment on the PSS time domain channel estimation and the SSS time domain channel estimation to obtain a filtered PSS time domain channel estimation value and a filtered SSS time domain channel estimation value;
and respectively carrying out fast Fourier transform FFT on the filtered PSS time domain channel estimation value and the filtered SSS time domain channel estimation value to obtain the PSS frequency domain channel estimation after noise reduction and the SSS frequency domain channel estimation after noise reduction.
Preferably, before performing inverse fast fourier transform IFFT on the frequency domain channel estimation of the PSS and the frequency domain channel estimation of the SSS, respectively, the method further comprises:
and respectively performing piecewise linear interpolation on the frequency domain channel estimation of the PSS and the frequency domain channel estimation of the SSS.
Preferably, the calculating a first channel error estimate and a second channel error estimate according to the frequency domain channel estimate of the denoised PSS and the frequency domain channel estimate of the denoised SSS includes:
the first channel error is estimated as
The second channel error is estimated as
Wherein the h is PSS (n) is the frequency domain channel estimation of the PSS after noise reduction, the h SSS (n) is a frequency domain channel estimate of the noise reduced SSS;
the determining the ratio of EPRE of PSS to EPRE of SSS according to the filtered first channel error estimate and the filtered second channel error estimate comprises:
when E after filtration 1 Less than or equal to E after filtration 2 The ratio of EPRE of PSS to EPRE of SSS is determined to be 0dB,
when E after filtration 1 Filtered E 2 The ratio of EPRE of PSS to EPRE of SSS is determined to be 3dB.
Another embodiment of the present application further provides an apparatus for estimating an EPRE ratio of energy per resource element, where the apparatus includes:
the signal acquisition module is used for acquiring a current SSB frequency domain signal, wherein the SSB frequency domain signal is obtained by transforming an SSB time domain signal;
the signal extraction module is used for extracting a frequency domain signal of a primary synchronization signal PSS and a frequency domain signal of a secondary synchronization signal SSS from the SSB frequency domain signal;
the channel estimation module is used for carrying out least square channel estimation on the frequency domain signal of the PSS and the local signal sequence of the pre-acquired PSS to obtain frequency domain channel estimation of the PSS, and carrying out least square channel estimation on the frequency domain signal of the SSS and the local signal sequence of the pre-acquired SSS to obtain frequency domain channel estimation of the SSS;
the first noise reduction module is used for respectively carrying out noise reduction processing on the frequency domain channel estimation of the PSS and the frequency domain channel estimation of the SSS so as to obtain the frequency domain channel estimation of the PSS after noise reduction and the frequency domain channel estimation of the SSS after noise reduction;
a channel error estimation module, configured to calculate a first channel error estimate and a second channel error estimate according to the frequency domain channel estimate of the denoised PSS and the frequency domain channel estimate of the denoised SSS;
the second noise reduction module is used for respectively carrying out filtering processing on the first channel error estimation and the second channel error estimation so as to obtain a filtered first channel error estimation and a filtered second channel error estimation;
and the ratio judging module is used for determining the ratio of the EPRE of the PSS to the EPRE of the SSS according to the filtered first channel error estimation and the filtered second channel error estimation.
Preferably, the first noise reduction module includes:
the first transformation submodule is used for performing IFFT transformation on the frequency domain channel estimation of the PSS and the frequency domain channel estimation of the SSS respectively to obtain the time domain channel estimation of the PSS and the time domain channel estimation of the SSS;
the filtering sub-module is used for respectively carrying out filtering processing on the time domain channel estimation of the PSS and the time domain channel estimation of the SSS to obtain a filtered PSS time domain channel estimation value and a filtered SSS time domain channel estimation value;
and the second transformation submodule is used for carrying out FFT transformation on the filtered PSS time domain channel estimation value and the filtered SSS time domain channel estimation value respectively to obtain the frequency domain channel estimation of the PSS after noise reduction and the frequency domain channel estimation of the SSS after noise reduction.
Preferably, the first noise reduction module further includes:
and the linear interpolation sub-module is used for carrying out piecewise linear interpolation on the frequency domain channel estimation of the PSS and the frequency domain channel estimation of the SSS respectively.
Preferably, the channel error estimation module includes:
a first calculation sub-module for according toCalculating the first channel error estimate;
a second calculation sub-module for according toCalculating the second channel error estimate;
wherein the h is PSS (n) is the frequency domain channel estimation of the PSS after noise reduction, the h SSS (n) is a frequency domain channel estimate of the noise reduced SSS;
the ratio determination module is specifically configured to, when E is filtered 1 Less than or equal to E after filtration 2 The ratio of EPRE of PSS to EPRE of SSS is determined to be 0dB, when E is filtered 1 Filtered E 2 The ratio of EPRE of PSS to EPRE of SSS is determined to be 3dB.
The technical scheme has the following beneficial effects:
the embodiment of the application provides a method and a device for estimating energy ratio of each resource element, which are used for acquiring a current SSB frequency domain signal, wherein the SSB frequency domain signal is obtained by SSB time domain signal transformation; extracting a frequency domain signal of a primary synchronization signal PSS and a frequency domain signal of a secondary synchronization signal SSS from the SSB frequency domain signal; performing least square channel estimation on the frequency domain signal of the PSS and the local signal sequence of the acquired PSS in advance to obtain frequency domain channel estimation of the PSS, and performing least square channel estimation on the frequency domain signal of the SSS and the local signal sequence of the acquired SSS in advance to obtain frequency domain channel estimation of the SSS; respectively carrying out noise reduction treatment on the PSS frequency domain channel estimation and the SSS frequency domain channel estimation to obtain a noise-reduced PSS frequency domain channel estimation and a noise-reduced SSS frequency domain channel estimation; calculating a first channel error estimate and a second channel error estimate according to the PSS frequency domain channel estimate after noise reduction and the SSS frequency domain channel estimate after noise reduction; respectively carrying out filtering processing on the first channel error estimation and the second channel error estimation to obtain a filtered first channel error estimation and a filtered second channel error estimation; determining the ratio of the EPRE of the PSS to the EPRE of the SSS according to the filtered first channel error estimation and the filtered second channel error estimation; the accurate estimation of the ratio of the EPRE of the PSS to the EPRE of the SSS is realized, so that the PSS signal can be utilized by the PBCH channel estimation and the synchronous signal measurement, the quantity of available resources is increased, and the success rate of cell search and the measurement precision are improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of SSB carrier resources in an embodiment of the present application;
fig. 2 is a flow chart of a method for estimating energy ratio of each resource element according to an embodiment of the present application;
fig. 3 is a schematic flow chart of a part of a method for estimating an energy ratio of each resource element according to an embodiment of the present application;
fig. 4 is a schematic diagram of an estimation apparatus for energy ratio per resource element according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The SSB occupies 4 OFDM (Orthogonal Frequency Divisition Multiplexing, orthogonal frequency division multiplexing) symbols in total, the number is 0-3, the number occupies 240 subcarriers in total in the frequency domain, the number is 0-239, and the resources occupied by pss, SSS, and PBCH in SSB are as shown in fig. 1:
PSS is positioned on symbol 0, occupies subcarriers 56 to 182, and adds 127 subcarriers in total;
SSS is located on symbol 2, occupies subcarriers 56 to 182, and adds 127 subcarriers in total;
the PBCH and the DMRS thereof are positioned on symbols 1, 2 and 3, wherein the symbol 1 occupies subcarriers 0 to 239 (240 subcarriers), the symbol 2 occupies subcarriers 0 to 47 (48 subcarriers) and subcarriers 192 to 239 (48 subcarriers), and the symbol 3 occupies subcarriers 0 to 239 (240 subcarriers), wherein the frequency domain density of the DMRS is 1/4, and 1 DMRS exists every 4 subcarriers at intervals.
From the above, in each SSB, the number of REs (Resource elements) of the SSS is 127, the number of REs of the DMRS is 144, the pbch has 1 DMRS RE in every 4 REs in the frequency domain, the number of REs of the PSS is 127, the subcarriers occupied in the frequency domain are identical to the SSS, the REs are continuously distributed in the frequency domain, and the SINR (Signal to Interference plus Noise Ratio, signal-to-interference and noise ratio) on each RE is greater than or equal to the SSS/DMRS.
The DMRS is a pilot signal specially designed for PBCH demodulation, and is used for acquiring channel estimation of the PBCH, so that coherent demodulation of the PBCH is performed, and because the signal SSS is identical to the EPREs of the PBCH and is continuously distributed in frequency, the signal SSS can be used for channel estimation of the PBCH to improve the accuracy of channel estimation, and because the UE does not know the ratio of the EPREs of the PSS to the EPREs of the SSS, the PSS signal resource cannot be used for channel estimation of the PBCH.
The signal PSS contains the same number of REs as SSS and is continuously distributed in the frequency domain, and the SINR on each RE in the signal PSS is greater than or equal to SSS/DMRS, so if the ratio of the EPRE of the PSS to the EPRE of the SSS can be accurately estimated, the PSS resources can be utilized in channel estimation, or in signal measurement, for example, SS-RSRP (Synchronization Signal-Reference Signal Received Power ) measurement, SS-SINR (Synchronization Signal to Interference plus Noise Ratio, synchronization signal-to-interference and noise ratio) measurement, so that the number of available resources can be increased, and the success rate of cell search and the measurement accuracy can be improved.
In order to realize the estimation of the EPRE ratio of the PSS and the SSS, an embodiment of the present application provides a method for estimating the EPRE ratio of energy per resource element, referring to fig. 2, the method may include:
step S100, obtaining a current SSB frequency domain signal, wherein the SSB frequency domain signal is obtained by transforming an SSB time domain signal.
Specifically, a radio frequency signal is received from an antenna, and after radio frequency processing, down-conversion, analog-to-digital conversion and baseband filtering processing, an SSB time domain signal is obtained, where the SSB time domain signal includes a time domain OFDM symbol.
An SSB frequency domain signal obtained by performing FFT (Fast Fourier Transform ) on the SSB time domain signal.
Step S200, extracting the frequency domain signal of the primary synchronization signal PSS and the frequency domain signal of the secondary synchronization signal SSS from the SSB frequency domain signal.
Extracting the frequency domain signal of each subcarrier of the PSS and the frequency domain signal of the SSS subcarrier from the frequency spectrum resource of the SSB frequency domain signal, and enabling the PSS frequency domain signal to be y PSS (n), n E [0,127), SSS frequency domain reception is y SSS (n),n∈[0,127)。
Step S300, performing Least Square (LS) channel estimation on the PSS frequency domain signal and the pre-acquired PSS local signal sequence to obtain PSS frequency domain channel estimationPerforming least square LS channel estimation on the SSS frequency domain signal and the pre-acquired SSS local signal sequence to obtain SSS frequency domain channel estimation +.>
It can be appreciated that the local signal sequence of PSS and the local signal sequence of SSS can be obtained in advance by 3gpp ts38.211 protocol, which is specifically implemented as follows:
the local signal sequence of the PSS generated by the 3GPP TS38.211 protocol is d PSS (n), n ε [0,127), the formula is as follows:
d PSS (n)＝1-2x(m)，
0≤n＜127；
wherein, the liquid crystal display device comprises a liquid crystal display device,for sector ID> For the physical layer cell ID, x (i) satisfies:
x(i+7)＝(x(i+4)+x(i))mod2，
[x(6) x(5) x(4) x(3) x(2) x(1) x(0)]＝[1 1 1 0 1 1 0]；
local signal sequence d for generating SSS according to 3GPP TS38.211 SSS (n), n ε [0,127), the formula is as follows:
d SSS (n)＝[1-2x 0 ((n+m 0 )mod127)][1-2x 1 ((n+m 1 )mod127)]，
0≤n＜127；
wherein, the liquid crystal display device comprises a liquid crystal display device, for physical layer cell ID, x 0 (i) And x 1 (i) The method meets the following conditions:
x 0 (i+7)＝(x 0 (i+4)+x 0 (i))mod2，
x 1 (i+7)＝(x 1 (i+1)+x 1 (i))mod2，
[x 0 (6) x 0 (5) x 0 (4) x 0 (3) x 0 (2) x 0 (1) x 0 (0)]＝[0 0 0 0 0 0 1]，
[x 1 (6) x 1 (5) x 1 (4) x 1 (3) x 1 (2) x 1 (1) x 1 (0)]＝[0 0 0 0 0 0 1]；
specifically, performing LS channel estimation on a frequency domain received signal of a PSS and a local signal sequence of the PSS acquired in advance, to obtain a frequency domain channel estimation of the PSS includes:
specifically, performing LS channel estimation on the frequency domain received signal of the SSS and the local signal sequence of the SSS acquired in advance, to obtain the frequency domain channel estimation of the SSS includes:
step S400, frequency domain channel estimation of PSSFrequency domain channel estimation with SSS->Performing noise reduction processing to obtain a frequency domain channel estimation h of the PSS after noise reduction PSS (n) frequency domain channel estimation h with noise reduced SSS SSS (n)。
Alternatively, step S400 in the embodiment of the present application may include steps S401 to S403, see fig. 3.
Step S401, frequency domain channel estimation for PSSFrequency domain channel estimation of SSS +.>IFFT (Inverse Fast Fourier Transform ) is performed to obtain the PSS's time domain channel estimate and SSS time domain channel estimate.
It will be appreciated that the input sequence for IFFT needs to be obtained before performing IFFT, and in this embodiment, piecewise linear interpolation may be used, and the processing of frequency domain channel estimation of PSS will be described below as an example.
Let the input sequence of the IFFT transform be IFFT in (n), n=0, 1, 255; wherein, the liquid crystal display device comprises a liquid crystal display device,
by means of ifft in (0:63) and ifft in (193:255) interpolation to obtain ifft in (64:192), comprising:
by means of ifft in (62) And ifft in (63) Linear interpolation to obtain ifft in (n), n=64, 65,..95, using the interpolation formula: ifft (ifft) in (n)＝ifft in (63)+[ifft in (63)-ifft in (62)](n-63)；
By means of ifft in (193) And ifft in (194) Linear interpolation to obtain ifft in (n), n=161, 162,..192, using the interpolation formula: ifft (ifft) in (n)＝ifft in (193)+[ifft in (194)-ifft in (193)](n-193)；
By means of ifft in (95) And ifft in (161) Linear interpolation to obtain ifft in (n), n=96, 97,..160, using the interpolation formula: ifft (ifft) in (n)＝ifft in (95)+[ifft in (161)-ifft in (95)](n-95)/66。
It should be noted that, in the above embodiment, the input sequence for IFFT is obtained by piecewise linear interpolation, and those skilled in the art may also use other interpolation methods to achieve the same purpose.
After obtaining interpolation, ifft in After (0:255) sequence, performing 256-point IFFT transformation on the sequence to obtain PSS time domain channel estimation IFFT pss-out (n), n.epsilon. 0,256), it is noted that ifft sss-out (n) acquisition and ifft pss-out The calculation of (n) is the same and is not described in detail here.
Step S402, respectively performing filtering processing on the PSS time domain channel estimation and the SSS time domain channel estimation to obtain a filtered PSS time domain channel estimation value fft pss-in (n) and the filtered SSS time domain channel estimate value fft sss-in (n)。
In particular, the method comprises the steps of,wherein (1)>Wherein N is CP For the number of sampling points corresponding to the cyclic prefix, the value is 18, kappa is an adjustment coefficient, and the default value is 2.5.
Note that, fft sss-in Calculation method of (n) and fft pss-in The calculation method (n) is the same and is not described here.
Step S403, respectively performing filtering on the PSS time domain channel estimation value fft pss-in (n) and the filtered SSS time domain channel estimate value fft sss-in (n) FFT conversion is carried out to obtain a frequency domain channel estimation h of the PSS after noise reduction PSS (n) frequency domain channel estimation h with noise reduced SSS SSS (n)。
Specifically, the fft is pss-in (n) zero padding and FFT conversion to obtain FFT pss-out (n), n.epsilon. 0,256), fft sss-in (n) zero padding and FFT conversion to obtain FFT sss-out (n), n E [0,256), frequency domain channel estimation h of PSS after noise reduction PSS (n) is obtained by conversion of the formula:
h PSS (0:62)＝fft pss-out (193:255)，h PSS (63:126)＝fft pss-out (1:64)。
frequency domain channel estimation h of denoised SSS SSS (n) is obtained by conversion of the formula:
h SSS (0:62)＝fft sss-out (193:255)，h SSS (63:126)＝fft sss-out (1:64)。
step S500, estimating h according to the PSS frequency domain channel after noise reduction PSS (n) frequency domain channel estimation h with noise reduced SSS SSS (n) calculating a first channel error estimate and a second channel error estimate.
Specifically, the first channel error estimate is
The second channel error is estimated as
Step S600, respectively carrying out filtering processing on the first channel error estimation and the second channel error estimation to obtain a filtered first channel error estimation and a filtered second channel error estimation;
the first channel error estimate and the second channel error estimate are each filtered, and the specific filtering method is not limited in this embodiment.
Step S700, determining the ratio of EPRE of the PSS to EPRE of the SSS according to the filtered first channel error estimation and the filtered second channel error estimation.
In particular, when E after filtration 1 Less than or equal to E after filtration 2 Determining the ratio of PSS to SSS EPRE to be 0dB;
when E after filtration 1 Filtered E 2 The ratio of PSS to SSS EPRE is determined to be 3dB.
Optionally, in order to prevent the error judgment of the ratio of the EPRE of the PSS to the EPRE of the SSS from affecting the performance of cell search and measurement, for the estimation of the ratio of the EPRE of the first PSS to the EPRE of the SSS or when the estimation of the EPRE of the PSS corresponding to the current SSB frequency domain signal to the EPRE of the SSS is different from the ratio of the EPRE of the PSS corresponding to the SSB frequency domain signal with the same index as the first M consecutive indices, a conservative channel estimation scheme is adopted, that is, only the SSS and/or the DMRS are still adopted to perform channel estimation, and only when the ratio of the EPRE of the PSS corresponding to the SSB frequency domain signal with the same index as the SSS is the same, the PSS and/or the SSS and/or the DMRS are adopted to perform channel estimation, N and M are set according to the actual situation, where N may be a positive integer greater than or equal to 3 as an option.
It can be appreciated that in this embodiment, the PSS signal resources, or the PSS and SSS signal resources, or the PSS and DMRS signal resources, or the PSS and SSS and DMRS signal resources may be used to perform channel estimation and signal measurement, which increases the number of available resources compared to the existing method that only SSS and/or DMRS resources can be used.
In summary, the embodiment of the application provides an estimation method of energy ratio of each resource element, which realizes the ratio estimation of the EPRE of PSS and the EPRE of SSS, after the ratio of the EPRE of PSS and the EPRE of SSS is obtained, PSS resources can be utilized in PBCH coherent demodulation, SS-RSRP measurement and SS-SINR measurement, the number of available resources is increased, the success rate of cell search and the measurement precision are improved, an erroneous judgment prevention mechanism is adopted, and channel estimation is performed by utilizing the resources of PSS only when the continuously determined ratio of the PSS to the EPRE of SSS is the same, so that the accuracy and reliability are ensured.
Corresponding to the above method, the embodiment of the present application further provides an apparatus for estimating an energy ratio of each resource element, referring to fig. 4, which shows a schematic structural diagram of the apparatus, and may include:
the signal acquisition module is used for acquiring a current SSB frequency domain signal, wherein the SSB frequency domain signal is obtained by transforming an SSB time domain signal;
a signal extraction module, configured to extract, from the SSB frequency domain signal, a frequency domain signal of a primary synchronization signal PSS and a frequency domain signal of a secondary synchronization signal SSS;
the channel estimation module is used for carrying out least square LS channel estimation on the frequency domain signal of the PSS and the local signal sequence of the pre-acquired PSS to obtain the frequency domain channel estimation of the PSS, and carrying out least square LS channel estimation on the frequency domain signal of the SSS and the local signal sequence of the pre-acquired SSS to obtain the frequency domain channel estimation of the SSS;
the first noise reduction module is used for respectively carrying out noise reduction processing on the frequency domain channel estimation of the PSS and the frequency domain channel estimation of the SSS so as to obtain the frequency domain channel estimation of the PSS after noise reduction and the frequency domain channel estimation of the SSS after noise reduction;
a channel error estimation module, configured to calculate a first channel error estimate and a second channel error estimate according to the frequency domain channel estimate of the denoised PSS and the frequency domain channel estimate of the denoised SSS;
the second noise reduction module is used for respectively carrying out filtering processing on the first channel error estimation and the second channel error estimation so as to obtain a filtered first channel error estimation and a filtered second channel error estimation;
and the ratio judging module is used for determining the ratio of the EPRE of the PSS to the EPRE of the SSS according to the filtered first channel error estimation and the filtered second channel error estimation.
Optionally, the first noise reduction module includes:
the first transformation submodule is used for performing IFFT transformation on the frequency domain channel estimation of the PSS and the frequency domain channel estimation of the SSS respectively to obtain the time domain channel estimation of the PSS and the time domain channel estimation of the SSS;
the filtering sub-module is used for respectively carrying out filtering processing on the time domain channel estimation of the PSS and the time domain channel estimation of the SSS to obtain a filtered PSS time domain channel estimation value and a filtered SSS time domain channel estimation value;
and the second transformation submodule is used for carrying out FFT transformation on the PSS time domain channel estimation filtering value and the SSS time domain channel estimation filtering value respectively to obtain the PSS frequency domain channel estimation after noise reduction and the SSS frequency domain channel estimation after noise reduction.
Optionally, the first noise reduction module further includes:
and the linear interpolation sub-module is used for carrying out piecewise linear interpolation on the frequency domain channel estimation of the PSS and the frequency domain channel estimation of the SSS respectively.
Optionally, the channel error estimation module includes:
a first calculation sub-module for according toCalculating the first channel error estimate;
a second calculation sub-module for according toCalculating the second channel error estimate;
wherein h is PSS (n) is the frequency domain channel estimation of PSS after noise reduction, h SSS (n) is a frequency domain channel estimate of the noise reduced SSS;
the ratio determination module is specifically configured to, when E is filtered 1 Less than or equal to E after filtration 2 The ratio of EPRE of PSS to EPRE of SSS is determined to be 0dB, when E is filtered 1 Filtered E 2 The ratio of EPRE of PSS to EPRE of SSS is determined to be 3dB.
Optionally, the apparatus further includes:
and the channel estimation module is used for carrying out channel estimation by adopting the PSS and/or the SSS and/or the DMRS when the ratios of the EPRE of the PSS corresponding to the continuous N frequency domain signals with the same index to the EPRE of the SSS are the same, wherein N is a positive integer greater than or equal to 3.
The channel estimation module is further configured to perform channel estimation using SSS and/or DMRS when a ratio of EPRE of PSS corresponding to the current SSB frequency domain signal to EPRE of SSS is different from a ratio of EPRE of PSS corresponding to SSB frequency domain signals with the same continuous M indexes, where M is a positive integer.
It should be noted that, in the estimation device for per-resource element energy EPRE ratio provided in the embodiment of the present application, the steps executed by each module and relevant technical features correspond to the methods provided in the application embodiments, and the description of the device portion may refer to the embodiments of the foregoing method portion, which is not repeated herein.
In summary, the embodiment of the application provides an estimation device for energy ratio of each resource element, which realizes the ratio estimation of the EPRE of PSS and the EPRE of SSS, after the ratio of the EPRE of PSS and the EPRE of SSS is obtained, PSS resources can be utilized in PBCH coherent demodulation, SS-RSRP measurement and SS-SINR measurement, the number of available resources is increased, the success rate of cell search and the measurement precision are improved, an erroneous judgment prevention mechanism is adopted, and only when the ratio of the EPRE of PSS and the EPRE of SSS is the same, the resources of PSS are utilized for channel estimation, thereby ensuring the accuracy and the reliability.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other.
It will be appreciated by those skilled in the art that the flow chart shown in the figures is only one example in which embodiments of the present application may be implemented, and the scope of applicability of embodiments of the application is not limited in any way by the flow chart.
In the several embodiments provided in the present application, it should be understood that the disclosed method, apparatus and device may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for estimating an EPRE ratio of energy per resource element, the method comprising:
acquiring a current SSB frequency domain signal, wherein the SSB frequency domain signal is obtained by transforming an SSB time domain signal;
extracting a frequency domain signal of a primary synchronization signal PSS and a frequency domain signal of a secondary synchronization signal SSS from the SSB frequency domain signal;
performing least square channel estimation on the frequency domain signal of the PSS and the local signal sequence of the acquired PSS in advance to obtain frequency domain channel estimation of the PSS, and performing least square channel estimation on the frequency domain signal of the SSS and the local signal sequence of the acquired SSS in advance to obtain frequency domain channel estimation of the SSS;
respectively carrying out noise reduction treatment on the PSS frequency domain channel estimation and the SSS frequency domain channel estimation to obtain a noise-reduced PSS frequency domain channel estimation and a noise-reduced SSS frequency domain channel estimation;
calculating a first channel error estimate and a second channel error estimate according to the PSS frequency domain channel estimate after noise reduction and the SSS frequency domain channel estimate after noise reduction;
respectively carrying out filtering processing on the first channel error estimation and the second channel error estimation to obtain a filtered first channel error estimation and a filtered second channel error estimation;
and determining the ratio of the EPRE of the PSS to the EPRE of the SSS according to the filtered first channel error estimation and the filtered second channel error estimation.
2. The method according to claim 1, wherein the method further comprises:
when the ratios of the EPRE of PSS corresponding to the continuous N SSB frequency domain signals with the same index to the EPRE of SSS are the same, performing channel estimation by adopting PSS and/or SSS and/or DMRS, wherein N is a positive integer greater than or equal to 3.
3. The method according to claim 2, wherein the method further comprises:
when the ratio of the EPRE of the PSS corresponding to the current SSB frequency domain signal to the EPRE of the SSS is different from the ratio of the EPRE of the PSS corresponding to the SSB frequency domain signal with the same index as the M consecutive previous SSB frequency domain signals, performing channel estimation only by using the SSS and/or the DMRS, wherein M is a positive integer.
4. The method of claim 1, wherein the performing noise reduction on the frequency domain channel estimate of the PSS and the frequency domain channel estimate of the SSS, respectively, to obtain a frequency domain channel estimate of the PSS after noise reduction and a frequency domain channel estimate of the SSS after noise reduction, comprises:
performing Inverse Fast Fourier Transform (IFFT) on the frequency domain channel estimation of the PSS and the frequency domain channel estimation of the SSS respectively to obtain the time domain channel estimation of the PSS and the time domain channel estimation of the SSS;
respectively carrying out filtering treatment on the PSS time domain channel estimation and the SSS time domain channel estimation to obtain a filtered PSS time domain channel estimation value and a filtered SSS time domain channel estimation value;
and respectively carrying out fast Fourier transform FFT on the filtered PSS time domain channel estimation value and the filtered SSS time domain channel estimation value to obtain the PSS frequency domain channel estimation after noise reduction and the SSS frequency domain channel estimation after noise reduction.
5. The method of claim 4, further comprising, prior to said inverse fast fourier transform, IFFT, of the frequency domain channel estimates of the PSS and the SSS, respectively:
and respectively performing piecewise linear interpolation on the frequency domain channel estimation of the PSS and the frequency domain channel estimation of the SSS.
6. The method of claim 1, wherein the calculating the first channel error estimate and the second channel error estimate from the frequency domain channel estimate of the denoised PSS and the frequency domain channel estimate of the denoised SSS comprises:
the first channel error is estimated as
The second channel error is estimated as
Wherein the h is PSS (n) is the frequency domain channel estimation of the PSS after noise reduction, the h SSS (n) is a frequency domain channel estimate of the noise reduced SSS;
the determining the ratio of EPRE of PSS to EPRE of SSS according to the filtered first channel error estimate and the filtered second channel error estimate comprises:
when E after filtration 1 Less than or equal to E after filtration 2 The ratio of EPRE of PSS to EPRE of SSS is determined to be 0dB,
when E after filtration 1 Filtered E 2 The ratio of EPRE of PSS to EPRE of SSS is determined to be 3dB.
7. An apparatus for estimating an EPRE ratio of energy per resource element, the apparatus comprising:
the signal acquisition module is used for acquiring a current SSB frequency domain signal, wherein the SSB frequency domain signal is obtained by transforming an SSB time domain signal;
the signal extraction module is used for extracting a frequency domain signal of a primary synchronization signal PSS and a frequency domain signal of a secondary synchronization signal SSS from the SSB frequency domain signal;
the channel estimation module is used for carrying out least square channel estimation on the frequency domain signal of the PSS and the local signal sequence of the pre-acquired PSS to obtain frequency domain channel estimation of the PSS, and carrying out least square channel estimation on the frequency domain signal of the SSS and the local signal sequence of the pre-acquired SSS to obtain frequency domain channel estimation of the SSS;
the first noise reduction module is used for respectively carrying out noise reduction processing on the frequency domain channel estimation of the PSS and the frequency domain channel estimation of the SSS so as to obtain the frequency domain channel estimation of the PSS after noise reduction and the frequency domain channel estimation of the SSS after noise reduction;
a channel error estimation module, configured to calculate a first channel error estimate and a second channel error estimate according to the frequency domain channel estimate of the denoised PSS and the frequency domain channel estimate of the denoised SSS;
the second noise reduction module is used for respectively carrying out filtering processing on the first channel error estimation and the second channel error estimation so as to obtain a filtered first channel error estimation and a filtered second channel error estimation;
and the ratio judging module is used for determining the ratio of the EPRE of the PSS to the EPRE of the SSS according to the filtered first channel error estimation and the filtered second channel error estimation.
8. The apparatus of claim 7, wherein the first noise reduction module comprises:
the first transformation submodule is used for performing IFFT transformation on the frequency domain channel estimation of the PSS and the frequency domain channel estimation of the SSS respectively to obtain the time domain channel estimation of the PSS and the time domain channel estimation of the SSS;
the filtering sub-module is used for respectively carrying out filtering processing on the time domain channel estimation of the PSS and the time domain channel estimation of the SSS to obtain a filtered PSS time domain channel estimation value and a filtered SSS time domain channel estimation value;
and the second transformation submodule is used for carrying out FFT transformation on the filtered PSS time domain channel estimation value and the filtered SSS time domain channel estimation value respectively to obtain the frequency domain channel estimation of the PSS after noise reduction and the frequency domain channel estimation of the SSS after noise reduction.
9. The apparatus of claim 8, wherein the first noise reduction module further comprises:
and the linear interpolation sub-module is used for carrying out piecewise linear interpolation on the frequency domain channel estimation of the PSS and the frequency domain channel estimation of the SSS respectively.
10. The apparatus of claim 7, wherein the channel error estimation module comprises:
a first calculation sub-module for according toCalculating the first channel error estimate;
a second calculation sub-module for according toCalculating the second channel error estimate;
wherein the h is PSS (n) is the frequency domain channel estimation of the PSS after noise reduction, the h SSS (n) is a frequency domain channel estimate of the noise reduced SSS;
the ratio determination module is specifically configured to, when E is filtered 1 Less than or equal to E after filtration 2 The ratio of EPRE of PSS to EPRE of SSS is determined to be 0dB, when E is filtered 1 Filtered E 2 The ratio of EPRE of PSS to EPRE of SSS is determined to be 3dB.
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