CN115604060B - Peak detection method, device, electronic equipment and storage medium - Google Patents

Peak detection method, device, electronic equipment and storage medium Download PDF

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CN115604060B
CN115604060B CN202211228514.3A CN202211228514A CN115604060B CN 115604060 B CN115604060 B CN 115604060B CN 202211228514 A CN202211228514 A CN 202211228514A CN 115604060 B CN115604060 B CN 115604060B
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peak value
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CN115604060A (en
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曾鹏飞
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Shanghai Xingsi Semiconductor Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The application provides a peak detection method, a peak detection device, electronic equipment, a storage medium and a program product, and relates to the technical field of communication. According to the method, the approximate position of an initial peak value is obtained according to a power spectrum, if a peak value interval in which the initial peak value is located overlaps at least two peak value scanning intervals, it is shown that if the peak value is scanned in a MUSIC spatial spectrum in a real number domain, a peak value mirror image problem possibly occurs, so that the channel estimation result is adjusted based on the moving amount by moving the peak value interval in which the initial peak value is located to a target peak value scanning interval, the problem of peak value mirror image can be avoided before the MUSIC spatial spectrum is built, and further, when the spectrum peak value searching is carried out in the MUSIC spatial spectrum in the real number domain, an accurate peak value can be obtained, and the problem of the peak value mirror image is avoided.

Description

Peak detection method, device, electronic equipment and storage medium
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a peak detection method, apparatus, electronic device, storage medium, and program product.
Background
In a long term evolution (Long Term Evolution, LTE)/new air interface (NR) network, a terminal may measure and report an observed time difference of arrival (Observed Time Difference of Arrival, OTDOA) according to a positioning reference signal (Positioning Reference Signal, PRS), a base station may give positioning information of the terminal according to the OTDOA reported by the terminal, and positioning accuracy of the terminal is strongly related to a measurement algorithm of the OTDOA.
The OTDOA measurement can be performed by using a multiple signal classification (Multiple Signal Classification, MUSIC) algorithm with higher precision, the MUSIC algorithm is an algorithm based on a feature structure, the basic idea of the algorithm is to perform feature decomposition on a covariance matrix, so as to obtain a signal subspace corresponding to a signal component and a noise subspace orthogonal to the signal component, and then utilize the orthogonality of the two subspaces to estimate parameters of a signal, such as OTDOA.
The complexity of the MUSIC algorithm is higher, so that the MUSIC algorithm can be converted into a real number domain for calculation, but after the MUSIC algorithm is converted into the real number domain, the problem of peak mirror image may occur in the subsequent spectral peak search in the MUSIC spatial spectrum, so that the determined peak value may be inaccurate, and thus, the estimation of the parameters of the subsequent signals is greatly affected.
Disclosure of Invention
An objective of the embodiments of the present application is to provide a peak detection method, apparatus, electronic device, storage medium and program product, which are used for improving the problem that peak mirroring may occur after a MUSIC algorithm is converted into a real number domain in the existing manner.
In a first aspect, an embodiment of the present application provides a peak detection method, where the method includes:
Performing spectrum peak search on a power spectrum corresponding to an obtained channel estimation result, and determining a peak interval in which an initial peak is located, wherein the channel estimation result is obtained by performing channel estimation on a received signal;
if the peak value interval and at least two peak value scanning intervals overlap, moving the peak value interval in which the initial peak value is positioned into a target peak value scanning interval, and adjusting the channel estimation result based on the movement amount to obtain an adjusted channel estimation result, wherein each peak value scanning interval is 1/4 of a preset period, and the length of each peak value scanning interval is smaller than or equal to that of each peak value scanning interval;
determining a MUSIC spatial spectrum of a real number domain based on the adjusted channel estimation result and the preset period, wherein the preset period is a period of the MUSIC spatial spectrum of the real number domain;
and carrying out spectral peak search on the MUSIC spatial spectrum of the real number domain to obtain the position of a final peak value.
In the implementation process, the method acquires the approximate position of the initial peak value according to the power spectrum, if the peak value interval where the initial peak value is located overlaps at least two peak value scanning intervals, then the method shows that if the peak value is scanned in the MUSIC spatial spectrum in the real number domain, the peak value mirror image problem possibly occurs, so the channel estimation result is adjusted based on the moving quantity by moving the peak value interval where the initial peak value is located to a target peak value scanning interval, the problem of peak value mirror image is avoided before the MUSIC spatial spectrum is constructed, and further, when the spectrum peak searching is carried out in the MUSIC spatial spectrum in the real number domain, the accurate peak value can be obtained, and the problem of peak value mirror image is avoided.
Optionally, the adjusting the channel estimation result based on the moving amount to obtain an adjusted channel estimation result includes:
determining an adjustment amount for adjusting the channel estimation result according to the time offset between the target peak scanning interval and the peak interval;
and adjusting the channel estimation result according to the adjustment quantity to obtain an adjusted channel estimation result.
In the implementation process, the peak value interval where the initial peak value is located is moved to the target peak value scanning interval, and then the channel estimation result is adjusted based on the moving time offset, so that the peak value is scanned in only one peak value scanning interval when the subsequent peak value scanning is performed in the MUSIC spatial spectrum of the real number domain, and the problem that the peak value is mirrored can be avoided.
Optionally, the time offset is an offset between a start point of the target peak scan interval and a start point of the peak interval, or the time offset is an offset between an end point of the target peak scan interval and an end point of the peak interval. Therefore, the time offset can be accurately determined, and the channel estimation result can be accurately adjusted.
Optionally, the target peak scan interval is any peak scan interval of the at least two peak scan intervals, or is any peak scan interval in the preset period, or is a specified peak scan interval in the preset period. This may enable the initial peak to be moved into one of the peak scan intervals.
Optionally, after the obtaining the position of the final peak value, the method further includes:
determining the initial arrival time of the peak according to the position of the final peak;
determining an arrival time offset according to the time offset between the target peak scan interval and the peak interval;
and determining the final arrival time of the wave crest according to the initial arrival time and the arrival time offset.
In the implementation process, the initial arrival time is adjusted according to the time offset of the initial peak value movement, so that the final arrival time of the obtained peak value is more accurate.
Optionally, after determining the peak interval where the initial peak is located, before performing the spectral peak search on the MUSIC spatial spectrum in the real number domain, the method further includes:
and if the peak interval falls into a peak scanning interval, determining the MUSIC spatial spectrum of the real number domain based on the channel estimation result and the preset period. In this case, it is shown that the subsequent scanning peak does not have the problem of peak mirroring, and the channel estimation result does not need to be adjusted.
And performing spectral peak search on the MUSIC spatial spectrum of the real number domain to obtain the position of a final peak value, wherein the method comprises the following steps:
and carrying out spectral peak search on the MUSIC spatial spectrum of the real number domain in the target peak scanning interval to obtain the position of a final peak. Therefore, the rapid searching of the spectrum peak can be realized, and the searching efficiency is improved.
Optionally, before adjusting the channel estimation result, the method further includes:
and splitting the channel estimation result to obtain a plurality of sub-channel estimation results. Therefore, the dimension of the channel estimation result can be reduced, and the complexity of the MUSIC algorithm can be further reduced.
Optionally, the power spectrum is a power delay spectrum PDP. Since the PDP algorithm is simple, the approximate position of the initial peak can be quickly estimated from the PDP spectrum.
In a second aspect, an embodiment of the present application provides a peak detection apparatus, including:
the initial peak value acquisition module is used for carrying out spectrum peak search on the power spectrum corresponding to the obtained channel estimation result, and determining a peak value interval in which the initial peak value is located, wherein the channel estimation result is obtained by carrying out channel estimation on the received signal;
the adjusting module is used for moving the peak value interval in which the initial peak value is positioned into a target peak value scanning interval if the peak value interval and at least two peak value scanning intervals are overlapped, and adjusting the channel estimation result based on the moving quantity to obtain an adjusted channel estimation result, wherein each peak value scanning interval is 1/4 of a preset period, and the length of each peak value interval is smaller than or equal to that of each peak value scanning interval;
The spatial spectrum acquisition module is used for determining the MUSIC spatial spectrum of the real number domain based on the adjusted channel estimation result and the preset period, wherein the preset period is the period of the MUSIC spatial spectrum of the real number domain;
and the final peak value acquisition module is used for carrying out spectral peak search on the MUSIC spatial spectrum of the real number domain to acquire the position of the final peak value.
In a third aspect, embodiments of the present application provide an electronic device comprising a processor and a memory storing computer readable instructions that, when executed by the processor, perform the steps of the method as provided in the first aspect above.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method as provided in the first aspect above.
In a fifth aspect, embodiments of the present application provide a computer program product comprising computer program instructions which, when read and executed by a processor, perform the steps of the method provided in the first aspect.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of a location of an initial peak in an embodiment of the present application;
fig. 2 is a schematic diagram of peaks in a MUSIC spatial spectrum in real number domain according to an embodiment of the present application;
fig. 3 is a flowchart of a peak detection method according to an embodiment of the present application;
fig. 4 is a schematic diagram of an overall process of constructing a MUSIC spatial spectrum according to an embodiment of the present application;
FIG. 5 is a schematic diagram of a position of another initial peak according to an embodiment of the present disclosure;
fig. 6 is a schematic diagram of peaks in a MUSIC spatial spectrum in another real number domain according to an embodiment of the present application;
fig. 7 is a block diagram of a peak detection apparatus according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of an electronic device for performing a peak detection method according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
It should be noted that the terms "system" and "network" in embodiments of the present invention may be used interchangeably. "plurality" means two or more, and "plurality" may also be understood as "at least two" in this embodiment of the present invention. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/", unless otherwise specified, generally indicates that the associated object is an "or" relationship.
The current methods for estimating the relevant parameters of the received signal (such as the arrival time or arrival direction of the peak) generally include a Power-Delay Profile (PDP) algorithm and a MUSIC algorithm, but because the accuracy of the PDP algorithm is lower, in order to achieve higher accuracy, the MUSIC algorithm may be used to estimate the arrival time or arrival direction, and the general flow of estimating the arrival time by using the MUSIC algorithm is as follows: the method comprises the steps of firstly carrying out channel estimation on a received signal to obtain a channel estimation result, carrying out channel estimation by adopting a least square method, then calculating an autocorrelation matrix of the channel estimation result, carrying out characteristic decomposition on the autocorrelation matrix to obtain a signal subspace and a noise subspace, and then obtaining a corresponding MUSIC space spectrum by utilizing orthogonality of the signal subspace and the noise subspace.
However, the MUSIC algorithm has high complexity and complex calculation process, so that in order to improve the calculation efficiency, the MUSIC algorithm can be converted into a real number domain for calculation, for example, the obtained autocorrelation matrix can be real-valued, and the real-valued scheme is as follows:
R real ＝URU H ；
wherein R is real An autocorrelation matrix representing the real number domain after conversion, U representing unitary matrix, U H Representing the conjugate transpose of the unitary matrix,
in order to obtain the MUSIC spatial spectrum, the autocorrelation matrix (the autocorrelation matrix refers to the autocorrelation matrix before being real-ized) can be subjected to characteristic decomposition to obtain a signal subspace v= [ V ] 1 ,V 2 ,...,V D ]And noise subspace U n ＝[V D+1 ,V D+2 ,...,V M ]Since the signal subspace and the noise subspace are orthogonal, the MUSIC spatial spectral function can be defined as:wherein a (t) represents a time correlation function, a (t) = [1; exp (-1 j x 2 x pi x t/x); exp (-1 j x 2 x pi x 2 x t/x); ..; exp (-1 j x 2 x t/x)]Wherein t represents time delay, and x represents the number of subcarriers in the frequency domain.
Due to the mutual real time correlation function and noise subspaceOrthogonalization, therefore a H (t)U n U n H a (t) will approach 0, and the corresponding P (t) will have a maximum value, so that the position where the maximum value occurs in the spatial spectrum is the arrival time of the peak of the signal, so that the spectral peak search can be performed on the MUSIC spatial spectrum, and the arrival time of the peak can be estimated according to the position of the spectral peak.
Since rv=vd,wherein R represents an auto-correlation matrix which is not real, D represents a eigenvalue of the eigenvalue, V represents an eigenvector of the eigenvalue, and V' represents an eigenvector after the real, so that a MUSIC spatial spectrum function corresponding to the auto-correlation matrix which is not real can be expressed as:
wherein beta is i Representing the power normalization factor, for simplicity, the expression of the MUSIC spatial spectral function can also be usedWith m representing the dimension of the autocorrelation matrix, Δf representing the subcarrier spacing, τ representing the scan time. The above formula is converted correspondingly, which can be equivalent to the MUSIC spatial spectrum function corresponding to the autocorrelation matrix after being real, and expressed as:
therefore, when the MUSIC spatial spectrum function of the real number domain is constructed, the characteristic decomposition can be carried out on the real number self-correlation matrix, and the characteristic decomposition only needs to be carried out in the real number domain, so that the complexity of the MUSIC algorithm is greatly simplified, and the operation amount is reduced.
However, the real MUSIC spatial spectrum function is converted into cos and sin functions from the exp function of the original complex domain, and the cos and sin functions have the problem of peak mirror images, so that the real MUSIC spatial spectrum function introduces the problem of false paths caused by the peak mirror images. As shown in fig. 1, fig. 1 is the original real peak positions, if the peaks are scanned in the MUSIC spatial spectrum in the real number domain, the situation shown in fig. 2 may occur, that is, 6 peaks may occur, and in this case, a false peak (that is, a peak mirror image may occur), so that the arrival time of the subsequent prediction may be inaccurate.
In order to solve the above-mentioned problems, the embodiments of the present application provide a peak detection method, which obtains the approximate position of an initial peak according to a power spectrum, if there is an overlap between a peak interval in which the initial peak is located and at least two peak scan intervals, it indicates that if the peak is scanned, a mirror image problem may occur, so the problem of peak image may be avoided before a MUSIC spatial spectrum is constructed by adjusting a channel estimation result in the present scheme, and further an accurate peak may be obtained when a spectral peak search is performed in a MUSIC spatial spectrum in a real number domain, thereby avoiding the problem of peak image.
Referring to fig. 3, fig. 3 is a flowchart of a peak detection method according to an embodiment of the present application, where the method includes the following steps:
step S110: and carrying out spectrum peak search on the power spectrum corresponding to the obtained channel estimation result, and determining a peak value interval in which the initial peak value is located.
In an orthogonal frequency division multiplexing (Orthogonal Frequency Division Multiplexing, OFDM) system, a multi-system modulation method is generally adopted, and then coherent demodulation is required at a receiving end (in this scheme, the receiving end is a terminal), and since the transmission characteristics of a wireless channel are time-varying, the coherent demodulation needs to use instantaneous state information of the channel, so that channel estimation is required at the receiving end to obtain the instantaneous transmission characteristics of the wireless channel.
There are various methods for performing channel estimation at present, for example, a blind estimation method, a non-blind estimation method, and the like, wherein the non-blind estimation method mainly includes Least Square (LS) channel estimation, minimum Mean Square Error (MMSE) channel estimation, DFT-based channel estimation, decision feedback-based channel estimation, and the like.
In these modes, the receiving end can obtain the corresponding channel estimation result by carrying out preliminary channel estimation on the received signal, and the least square method is characterized in that the algorithm is simple and the feedback is easy, so that the least square method can be adopted to rapidly carry out channel estimation to obtain the channel estimation result, and the expression form of the channel estimation result can be a matrix form or a vector form and the like.
After the channel estimation result is obtained, a corresponding power spectrum can be obtained according to the channel estimation result, wherein the power spectrum can refer to a power delay spectrum PDP or a power spectrum obtained according to other time domain algorithms. For convenience of description, taking PDP as an example in the following embodiments, the PDP describes the dispersion of channels in time, and the delay of each channel in the multipath channel can be obtained by detecting the peak value in the PDP, and the specific implementation process may be as follows:
Channel estimation is carried out on a received signal through a least square method, a channel estimation result Hls is obtained and is expressed as Hls=y, wherein y represents the received signal, and RS represents a pilot signal corresponding to the received signal;
the channel estimation result Hls is subjected to inverse fourier transform IFFT to obtain a response Hcir, which can be expressed as hcir=ifft (Hls), and PDP, that is, pdp=abs (Hcir) ·2, can be calculated.
Then, peak searching can be performed in the PDP to obtain a peak interval in which the initial peak is located. The peak value refers to a spectrum peak in the PDP, the time of the peak value may represent the arrival time of the peak of the received signal, the peak value interval may refer to a time interval of the initial peak value, and it is understood that if there are a plurality of initial peak values, the plurality of initial peak values are all in the peak value interval, when determining the peak value interval of the initial peak value, the position of the first initial peak value or an offset position before the first initial peak value may be taken as the start point of the peak value interval, the position of the last initial peak value or an offset position after the last initial peak value may be taken as the end point of the peak value interval, where the start point of the peak value interval may be flexibly adjusted according to the position of the initial peak value, and the offset position may also be flexibly set according to actual requirements. The arrival time of the signal can then be estimated approximately from the peak interval, but since PDP accuracy is low, further processing is required to obtain a more accurate arrival time.
Step S120: if the peak value interval is overlapped with at least two peak value scanning intervals, the peak value interval where the initial peak value is located is moved into the target peak value scanning interval, and the channel estimation result is adjusted based on the movement amount, so that the adjusted channel estimation result is obtained.
Based on the above analysis, in order to improve the estimation accuracy, the correlation parameter estimation can be performed by using the MUSIC spatial spectrum of the real number domain, and the MUSIC spatial spectrum of the real number domain has the problem of peak mirroring, so in order to solve the problem, the present solution may predict and obtain a peak interval in which a rough initial peak is located by PDP, and then determine whether there is overlap between the peak interval and at least two peak scan intervals. Each peak scanning interval is 1/4 of a preset period, and the preset period refers to a period of a MUSIC spatial spectrum of a real number domain constructed later, namely, each peak scanning interval is 1/4 of a cos function, and in order to facilitate adjustment of a channel estimation result, the length of the peak interval of an initial peak is smaller than or equal to that of each peak scanning interval, so that the initial peak can be conveniently moved into one target peak scanning interval during adjustment.
Before adjusting the channel estimation result, it may be determined whether the peak interval where the initial peak is located overlaps with at least 2 1/4 cycles, that is, whether the peak interval where the initial peak is located is at least 2 1/4 cycles (e.g., the peak interval where the initial peak is located in two 1/4 cycles as shown in fig. 1), if so, a problem of peak mirror may occur when the peak search is performed in the MUSIC spatial spectrum in the real number domain, so that the channel estimation result needs to be adjusted, and an adjusted channel estimation result is obtained.
The channel estimation result can be specifically adjusted by moving the position of the initial peak, namely, moving the peak interval of the initial peak into one of the target peak scanning intervals, so that the channel estimation result is correspondingly changed.
It can be understood that if the peak interval in which the initial peak is located does not overlap with at least two peak scan intervals, i.e., when the peak interval in which the initial peak is located only falls into one of the peak scan intervals, the channel estimation result is not adjusted, and the original obtained channel estimation result can be continuously used to determine the MUSIC spatial spectrum in real number domain, which indicates that the problem of peak mirroring does not occur in the subsequent scan peak, so that the adjustment of the channel estimation result is not needed.
The reason why the spectral peak search needs to be performed again in the MUSIC spatial spectrum is that the position of the initial peak value originally acquired in the PDP may not be very accurate, so that the position of the peak value searched in the MUSIC spatial spectrum in the real number domain is more accurate by acquiring the MUSIC spatial spectrum in the real number domain.
Therefore, the method and the device can quickly obtain the approximate position of the initial peak value through the PDP, and adjust the channel estimation result and acquire the MUSIC spatial spectrum if the position of the initial peak value possibly causes the peak mirror image problem, so that the problem of peak mirror image caused by directly carrying out spectrum peak searching on the MUSIC spatial spectrum in the real number domain can be avoided.
Step S130: and determining the MUSIC spatial spectrum of the real number domain based on the adjusted channel estimation result and a preset period.
When calculating the MUSIC spatial spectrum of the real number domain for the adjusted channel estimation result, the adjusted channel estimation result may be first subjected to autocorrelation to obtain an autocorrelation matrix, then the autocorrelation matrix is subjected to real number processing (herein, refer to the description above), then the real number autocorrelation matrix is subjected to feature decomposition to obtain a noise subspace and a signal subspace, and then the orthogonal characteristics of the noise subspace and the signal subspace may be used to construct the MUSIC spatial spectrum of the real number domain. The period of the MUSIC spatial spectrum in the real number domain constructed here is the preset period, that is, each peak scanning interval is 1/4 period of the MUSIC spatial spectrum in the real number domain.
Step S140: and carrying out spectral peak search on the MUSIC spatial spectrum in the real number domain to obtain the position of the final peak value.
When the spectrum peak searching is carried out on the MUSIC spatial spectrum in the real number domain, the position of the peak in the MUSIC spatial spectrum can be found out by scanning the MUSIC spatial spectrum in the peak scanning interval, wherein when the spectrum peak searching is carried out, one mode is to carry out the spectrum peak searching on the MUSIC spatial spectrum in a period or in the whole state where the peak interval is located, and in order to improve the searching efficiency, the other mode is to directly carry out the spectrum peak searching on the MUSIC spatial spectrum in the target peak scanning interval, so that the position of the final peak can be quickly searched. After the position of the final peak value is obtained, the subsequent relevant parameters of the received signal, such as the arrival time or arrival direction of the peak of the received signal, for example, the arrival time is the time of the peak value, and the arrival direction is the angle of the peak value, can be obtained through the position of the final peak value.
In the implementation process, the method acquires the approximate position of the initial peak value according to the power spectrum, if the peak value interval where the initial peak value is located overlaps at least two peak value scanning intervals, then the method shows that if the peak value is scanned in the MUSIC spatial spectrum in the real number domain, the peak value mirror image problem possibly occurs, so the channel estimation result is adjusted based on the moving quantity by moving the peak value interval where the initial peak value is located to a target peak value scanning interval, the problem of peak value mirror image is avoided before the MUSIC spatial spectrum is constructed, and further, when the spectrum peak searching is carried out in the MUSIC spatial spectrum in the real number domain, the accurate peak value can be obtained, and the problem of peak value mirror image is avoided.
On the basis of the above embodiment, one period of the MUSIC spatial spectrum in the real number domain includes 4 peak scan intervals, when the channel estimation result is adjusted, a target peak scan interval in one period (i.e., 4 peak scan intervals) of the MUSIC spatial spectrum in the real number domain, in which an initial peak is required to be moved, may be determined first, then an adjustment amount for adjusting the channel estimation result is determined according to a time offset between the target peak scan interval and the peak interval, where the time offset is the movement amount for moving the peak interval to the target peak scan interval, and the channel estimation result is adjusted according to the adjustment amount, so as to obtain an adjusted channel estimation result.
For example, assume that the peak section where the initial peak is located is [ a, b]The channel estimation result is a matrix, and assuming that the dimension is n1, the dimension of the MUSIC spatial spectrum of the final real number domain is m=n1, so that one period of the MUSIC spatial spectrum of the real number domain can be divided into 4 peak scanning intervals according to the MUSIC spatial spectrum of the real number domain, which are respectively
Where n may take an integer value, T represents a preset period, i.e., a period of the MUSIC spatial spectrum in the real number domain, t=2/((m-1) Δf), where Δf represents a subcarrier spacing.
One period may be divided into 4 peak scan intervals (which are referred to as scan interval 1, scan interval 2, scan interval 3, and scan interval 4 for convenience of description), and if the peak interval of the initial peak is [ a, b ] overlapping with at least two peak scan intervals among the 4 peak scan intervals, an adjustment of the channel estimation result is required. For example, if the peak interval in which the initial peak is located in the scan interval 1 and the scan interval 2, it indicates that the peak interval in which the initial peak is located overlaps with the scan interval 1 and the scan interval 2.
The initial peak may then be shifted into one of the peak scan intervals, and in some embodiments, the target peak scan interval may be any one of the periods (i.e., 4 peak scan intervals) of the MUSIC spatial spectrum in the exponential domain, and of course, to avoid more shift, the target peak scan interval may be one of at least two peak scan intervals overlapping the peak interval of the initial peak, and as in the above example, the target peak scan interval may be scan interval 1 or scan interval 2. Or may be a peak scan interval specified in one period (i.e., 4 peak scan intervals) of the MUSIC spatial spectrum in the real number domain, such as one of the peak scan intervals that may be artificially specified.
For example, if the initial peak value is moved into the scan interval 1, the time offset between the peak value interval and the scan interval 1 may be obtained, where the time offset may be determined according to the interval start points or end points of the two intervals, for example, the time offset may be an offset between the start point of the target peak value scan interval and the start point of the peak value interval, or the time offset may be an offset between the end point of the target peak value scan interval and the end point of the peak value interval.
For example, the scan interval 1 is denoted by [ T1, T2], the peak interval is denoted by [ a, b ], the time offset may be an offset T1-a between start points of two intervals or an offset T2-b between end points of two intervals, and then an adjustment amount for adjusting the channel estimation result may be determined. If the time offset is T1-a, the calculation formula of the adjustment amount for adjusting the channel estimation result is: exp (1 j x 2 x pi x 0 (m-1) (T1-a)/sample rate), and the formula for adjusting the channel estimation result by using the adjustment amount is as follows: hls=hls=exp (1 j×2×pi×0 (m-1) (T1-a)/sample rate), where Hls represents the channel estimation result and sample rate represents the signal receiving frequency of the receiving end.
It can be understood that, in the calculation formula for obtaining the adjustment amount for adjusting the channel estimation result, the calculation formula can be adaptively modified according to the target peak scanning interval to which the peak interval where the initial peak is located is moved and the determined time offset, that is, the calculation formula is not unique, and in practical application, other calculation formulas or adjustment formulas may also be available, so that the adjustment of the channel estimation result can be achieved.
The adjusted channel estimation result may then be auto-correlated to obtain an auto-correlation matrix rhh=hls (Hls) H And then can be applied to theThe autocorrelation matrix is subjected to real number processing, and a MUSIC spatial spectrum is obtained according to a MUSIC algorithm, and a schematic diagram of the whole process is shown in fig. 4.
And finally, searching spectral peaks in the MUSIC spatial spectrum to obtain the position of the peak after the movement. For example, as shown in fig. 5 and fig. 6, assuming that fig. 5 is a position where an initial peak is located after moving, after processing according to the method of the present embodiment, fig. 6 is a peak searched in a MUSIC spatial spectrum in real number domain, and it is seen that no peak mirroring problem occurs in fig. 6.
In the implementation process, the peak value interval where the initial peak value is located is moved to the target peak value scanning interval, and then the channel estimation result is adjusted based on the moving time offset, so that the peak value is scanned in only one peak value scanning interval when the subsequent peak value scanning is performed in the MUSIC spatial spectrum of the real number domain, and the problem that the peak value is mirrored can be avoided.
On the basis of the above embodiment, since the initial peak value is moved, when estimating the arrival time according to the position of the final peak value, the movement amount of the initial peak value needs to be considered, and the specific implementation process is as follows: determining initial arrival time of the peak according to the position of the final peak, determining arrival time offset according to the time offset between the target peak scanning interval and the peak interval, and determining final arrival time of the peak according to the initial arrival time and the arrival time offset.
For example, spectral peak searching is performed on the MUSIC spatial spectrum in the real number domain to obtain the position of the final peak, and the initial arrival time is determined according to the position of the final peak, for example, the initial arrival time is T0, and if the time offset between the target peak scanning interval and the peak interval is T1-a, the final arrival time of the peak should be T0- (T1-a).
Therefore, the initial arrival time can be adjusted according to the time offset, and the final arrival time of the peak can be determined, so that more accurate arrival time can be obtained. It will be appreciated that the estimation of the arrival direction can be performed in the same way, i.e. the arrival direction in the MUSIC spatial spectrum can be adjusted by using the amount of movement of the angle of the initial peak, and the final arrival direction thus obtained is the actual arrival direction of the peak.
On the basis of the above embodiment, in order to further reduce the computational complexity of the present solution, after the channel estimation result is initially obtained, the channel estimation result may be subjected to dimension reduction processing, which specifically includes: and splitting the channel estimation result to obtain a plurality of sub-channel estimation results.
In some embodiments, the channel estimation result may be split into a plurality of sub-channel estimation results by performing a point-to-point extraction on the channel estimation result.
The specific splitting mode can be to preset the number to obtain a number from the channel estimation result at each interval, and the obtained number forms a sub-channel estimation result. For example, taking the form of the channel estimation result as a vector as an example, assuming that the channel estimation result is [1 2 3 4 5 6 7 8 9], if the preset number of the access points is 3, the sub-channel estimation results obtained after splitting are [1 4 7], [2 5 8] and [3 6 9].
It can be understood that in actual situations, the dimension of the channel estimation result should be larger, the preset number of the interval points can be flexibly set according to actual requirements, if the preset number is larger, the dimension of the obtained sub-channel estimation result is smaller, and further the calculated amount of the MUSIC algorithm is smaller, conversely, if the preset number is smaller, the dimension of the obtained sub-channel estimation result is larger, and the calculated amount of the MUSIC algorithm is also larger.
If the channel estimation result is split into a plurality of sub-channel estimation results, the dimension of the MUSIC spatial spectrum will also change correspondingly, for example, the dimension of the channel estimation result is n1, if the dimension of the final MUSIC spatial spectrum is m=floor (n 1/n 2) at every n2 points, if so, the value of m of each peak scanning interval in the divided peak scanning intervals will also change correspondingly, and the corresponding value can be substituted for the specific calculation to calculate.
It can be understood that the channel estimation result may be split in other manners, for example, the channel estimation result may be split directly into a set number of sub-channel estimation results, for example, the channel estimation result is [1 2 3 4 5 6 7 8 9], if the set number is 3, the sub-channel results obtained after splitting may be [1 2 3], [4 5] and [7 8 9], and the splitting may be performed not by using the method of dividing the number of points, but by using the method of continuous number of points, and the effect of reducing the dimension and the computational complexity of the channel estimation result may be also achieved. Of course, the specific splitting manner can be flexibly set according to actual requirements, for example, when the interval number is obtained, the irregular interval number can also be obtained, for example, the subchannel results obtained after splitting can be [1 2 5], [3 6 9], and [4 7 8], and the number of subchannel estimation results obtained by specific splitting can also be flexibly adjusted according to the actual requirements. In order to ensure the accuracy of the subsequent results, the channel estimation results can be split without omission (i.e., without data loss) when being split, i.e., the channel estimation results can be split without omission within the allowable range.
Referring to fig. 7, fig. 7 is a block diagram illustrating a peak detection apparatus 200 according to an embodiment of the present application, where the apparatus 200 may be a module, a program segment, or a code on an electronic device. It should be understood that the apparatus 200 corresponds to the above embodiment of the method of fig. 3, and is capable of executing the steps involved in the embodiment of the method of fig. 3, and specific functions of the apparatus 200 may be referred to in the above description, and detailed descriptions thereof are omitted herein as appropriate to avoid redundancy.
Optionally, the apparatus 200 includes:
an initial peak value obtaining module 210, configured to perform a spectral peak search on a power spectrum corresponding to an obtained channel estimation result, and determine a peak value interval where an initial peak value is located, where the channel estimation result is obtained by performing channel estimation on a received signal;
the adjusting module 220 is configured to, if the peak interval overlaps at least two peak scan intervals, move the peak interval in which the initial peak is located into a target peak scan interval, and adjust the channel estimation result based on the movement amount, to obtain an adjusted channel estimation result, where each peak scan interval is 1/4 of a preset period, and the length of each peak scan interval is less than or equal to the length of each peak scan interval;
The spatial spectrum acquisition module 230 is configured to determine a MUSIC spatial spectrum in a real number domain based on the adjusted channel estimation result and the preset period, where the preset period is a period of the MUSIC spatial spectrum in the real number domain;
and the final peak value obtaining module 240 is configured to perform spectral peak search on the MUSIC spatial spectrum in the real number domain, and obtain a position of a final peak value.
Optionally, the adjusting module 220 is configured to determine an adjustment amount for adjusting the channel estimation result according to a time offset between the target peak scan interval and the peak interval; and adjusting the channel estimation result according to the adjustment quantity to obtain an adjusted channel estimation result.
Optionally, the time offset is an offset between a start point of the target peak scan interval and a start point of the peak interval, or the time offset is an offset between an end point of the target peak scan interval and an end point of the peak interval.
Optionally, the target peak scan interval is any peak scan interval of the at least two peak scan intervals, or is any peak scan interval in the preset period, or is a specified peak scan interval in the preset period.
Optionally, the apparatus 200 further includes:
the arrival time estimation module is used for determining the initial arrival time of the peak according to the position of the final peak; determining an arrival time offset according to the time offset between the target peak scan interval and the peak interval; and determining the final arrival time of the wave crest according to the initial arrival time and the arrival time offset.
Optionally, the spatial spectrum acquisition module 230 is further configured to determine a MUSIC spatial spectrum in the real number domain based on the channel estimation result and the preset period if the peak interval falls within a peak scan interval.
Optionally, the final peak obtaining module 240 is configured to perform a spectral peak search on the MUSIC spatial spectrum in the real number domain in the target peak scanning interval, so as to obtain a position of a final peak.
Optionally, the power spectrum is a power delay spectrum PDP.
Optionally, the apparatus 200 further includes:
and the splitting module is used for splitting the channel estimation result to obtain a plurality of sub-channel estimation results.
It should be noted that, for convenience and brevity, a person skilled in the art will clearly understand that, for the specific working procedure of the apparatus described above, reference may be made to the corresponding procedure in the foregoing method embodiment, and the description will not be repeated here.
Referring to fig. 8, fig. 8 is a schematic structural diagram of an electronic device for performing a peak detection method according to an embodiment of the present application, where the electronic device may include: at least one processor 310, such as a CPU, at least one communication interface 320, at least one memory 330, and at least one communication bus 340. Wherein the communication bus 340 is used to enable direct connection communication of these components. The communication interface 320 of the device in the embodiment of the present application is used for performing signaling or data communication with other node devices. The memory 330 may be a high-speed RAM memory or a nonvolatile memory (non-volatile memory), such as at least one disk memory. Memory 330 may also optionally be at least one storage device located remotely from the aforementioned processor. The memory 330 has stored therein computer readable instructions which, when executed by the processor 310, perform the method process described above in fig. 3.
It will be appreciated that the configuration shown in fig. 8 is merely illustrative, and that the electronic device may also include more or fewer components than shown in fig. 8, or have a different configuration than shown in fig. 8. The components shown in fig. 8 may be implemented in hardware, software, or a combination thereof.
Embodiments of the present application provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs a method process performed by an electronic device in the method embodiment shown in fig. 3.
The present embodiment discloses a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, are capable of performing the methods provided by the above-described method embodiments, for example, comprising: performing spectrum peak search on a power spectrum corresponding to an obtained channel estimation result, and determining a peak interval in which an initial peak is located, wherein the channel estimation result is obtained by performing channel estimation on a received signal; if the peak value interval and at least two peak value scanning intervals overlap, moving the peak value interval in which the initial peak value is positioned into a target peak value scanning interval, and adjusting the channel estimation result based on the movement amount to obtain an adjusted channel estimation result, wherein each peak value scanning interval is 1/4 of a preset period, and the length of each peak value scanning interval is smaller than or equal to that of each peak value scanning interval; determining a MUSIC spatial spectrum of a real number domain based on the adjusted channel estimation result and the preset period, wherein the preset period is a period of the MUSIC spatial spectrum of the real number domain; and carrying out spectral peak search on the MUSIC spatial spectrum in the real number domain to obtain the position of the final peak value.
In summary, the embodiments of the present application provide a method, an apparatus, an electronic device, a storage medium, and a program product for detecting a peak, where the method obtains an approximate position of an initial peak according to a power spectrum, if a peak interval where the initial peak is located overlaps at least two peak scan intervals, it indicates that if a peak is scanned in a MUSIC spatial spectrum in a real number domain, a peak mirror problem may occur, so the method moves the peak interval where the initial peak is located to a target peak scan interval, adjusts a channel estimation result based on a moving amount, so that a problem of peak mirror is avoided before the MUSIC spatial spectrum is constructed, and further an accurate peak can be obtained when a spectrum peak search is performed in the MUSIC spatial spectrum in the real number domain, thereby avoiding the problem of peak mirror.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, 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.
Further, the units described as separate units may or may not be physically separate, and units displayed as units may or may not be physical units, may be located in one place, or may be distributed over 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.
Furthermore, functional modules in various embodiments of the present application may be integrated together to form a single portion, or each module may exist alone, or two or more modules may be integrated to form a single portion.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The foregoing is merely exemplary embodiments of the present application and is not intended to limit the scope of the present application, and various modifications and variations may be suggested to one skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims (8)

1. A method of peak detection, the method comprising:
performing spectrum peak search on a power spectrum corresponding to an obtained channel estimation result, and determining a peak interval in which an initial peak is located, wherein the channel estimation result is obtained by performing channel estimation on a received signal, and the power spectrum is a power delay spectrum PDP;
if the peak value interval and at least two peak value scanning intervals overlap, moving the peak value interval in which the initial peak value is positioned into a target peak value scanning interval, and adjusting the channel estimation result based on the movement amount to obtain an adjusted channel estimation result, wherein each peak value scanning interval is 1/4 of a preset period, the length of each peak value scanning interval is smaller than or equal to the length of each peak value scanning interval, and the movement amount is the movement amount of the peak value interval moving into the target peak value scanning interval;
determining a MUSIC spatial spectrum of a real number domain based on the adjusted channel estimation result and the preset period, wherein the preset period is a period of the MUSIC spatial spectrum of the real number domain, and the target peak scanning interval is any peak scanning interval of the at least two peak scanning intervals, or is any peak scanning interval in the preset period, or is a designated peak scanning interval in the preset period;
And carrying out spectral peak search on the MUSIC spatial spectrum of the real number domain to obtain the position of a final peak value.
2. The method of claim 1, wherein the amount of movement comprises a time offset, wherein the adjusting the channel estimation result based on the amount of movement to obtain an adjusted channel estimation result comprises:
determining an adjustment amount for adjusting the channel estimation result according to the time offset between the target peak scanning interval and the peak interval;
and adjusting the channel estimation result according to the adjustment quantity to obtain an adjusted channel estimation result.
3. The method of claim 2, wherein the time offset is an offset between a start point of the target peak scan interval and a start point of the peak interval, or the time offset is an offset between an end point of the target peak scan interval and an end point of the peak interval.
4. The method of claim 1, further comprising, after the obtaining the location of the final peak:
determining the initial arrival time of the peak according to the position of the final peak;
Determining an arrival time offset according to the time offset between the target peak scan interval and the peak interval;
determining the final arrival time of the peak according to the initial arrival time and the arrival time offset;
and/or the number of the groups of groups,
after determining the peak interval where the initial peak is located, before performing spectral peak search on the MUSIC spatial spectrum in the real number domain, the method further comprises:
and if the peak interval falls into a peak scanning interval, determining the MUSIC spatial spectrum of the real number domain based on the channel estimation result and the preset period.
5. The method of claim 1, wherein performing a spectral peak search on the MUSIC spatial spectrum in the real number domain to obtain a location of a final peak comprises:
carrying out spectral peak search on the MUSIC spatial spectrum of the real number domain in the target peak scanning interval to obtain the position of a final peak;
and/or the number of the groups of groups,
before adjusting the channel estimation result, the method further comprises:
and splitting the channel estimation result to obtain a plurality of sub-channel estimation results.
6. A peak detection apparatus, the apparatus comprising:
the initial peak value acquisition module is used for carrying out spectrum peak search on a power spectrum corresponding to an obtained channel estimation result, determining a peak value interval where the initial peak value is located, wherein the channel estimation result is obtained by carrying out channel estimation on a received signal, and the power spectrum is a power delay spectrum PDP;
The adjusting module is used for moving the peak value interval in which the initial peak value is positioned into a target peak value scanning interval if the peak value interval and at least two peak value scanning intervals are overlapped, and adjusting the channel estimation result based on the movement quantity to obtain an adjusted channel estimation result, wherein each peak value scanning interval is 1/4 of a preset period, the length of each peak value scanning interval is smaller than or equal to the length of each peak value scanning interval, and the movement quantity is the movement quantity of the peak value interval to the target peak value scanning interval;
the spatial spectrum acquisition module is configured to determine a MUSIC spatial spectrum in a real number domain based on the adjusted channel estimation result and the preset period, where the preset period is a period of the MUSIC spatial spectrum in the real number domain, and the target peak scanning interval is any peak scanning interval of the at least two peak scanning intervals, or is any peak scanning interval in the preset period, or is a specified peak scanning interval in the preset period;
and the final peak value acquisition module is used for carrying out spectral peak search on the MUSIC spatial spectrum of the real number domain to acquire the position of the final peak value.
7. An electronic device comprising a processor and a memory storing computer readable instructions that, when executed by the processor, perform the method of any of claims 1-5.
8. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, performs the method according to any of claims 1-5.
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