CN114448475A - Noise energy determination method for WLAN system and related equipment - Google Patents

Noise energy determination method for WLAN system and related equipment Download PDF

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CN114448475A
CN114448475A CN202210011611.0A CN202210011611A CN114448475A CN 114448475 A CN114448475 A CN 114448475A CN 202210011611 A CN202210011611 A CN 202210011611A CN 114448475 A CN114448475 A CN 114448475A
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zero
demodulated
energy
zero carrier
carrier
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周小平
吴斌
刘光熹
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Zhejiang Kerui Microelectronics Technology Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2647—Arrangements specific to the receiver only
    • H04L27/2649—Demodulators
    • H04L27/265—Fourier transform demodulators, e.g. fast Fourier transform [FFT] or discrete Fourier transform [DFT] demodulators
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W84/00—Network topologies
    • H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
    • H04W84/10—Small scale networks; Flat hierarchical networks
    • H04W84/12—WLAN [Wireless Local Area Networks]

Abstract

The invention discloses a noise energy determination method for a WLAN system and related equipment. The method comprises the following steps: carrying out OFDM demodulation on the short training sequence to obtain a signal to be demodulated in a frequency domain; acquiring a zero carrier signal vector based on the frequency domain signal to be demodulated; and determining the noise energy according to the zero carrier signal vector. The method provided by the embodiment of the application determines the noise energy by acquiring the zero carrier signal in the short training sequence, so that the influence of CFO and SFO can be avoided, meanwhile, the accuracy of the noise energy determination method can be further improved due to the fact that the number of the zero carriers in the short sequence is sufficient, and meanwhile, the number of the zero carriers can be flexibly selected based on the selection of a developer, so that the engineering realization is facilitated.

Description

Noise energy determination method for WLAN system and related equipment
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a noise energy determination method for a WLAN system and a related device.
Background
WLAN (Wireless Local Area Network) has been one of the most widely used commercial Wireless communication standards since its birth in 1997, and the protocol standard has been developed to the sixth generation. The physical layer of IEEE 802.11ac/IEEE 802.11ax adopts a higher-order modulation mode, a higher bandwidth, MIMO (Multiple Input Multiple Output) technology, OFDMA (Orthogonal Frequency Division Multiplexing Access), MU-MIMO (multi user Multiple Input Multiple Output) and other technologies, so that the transmission rate can be increased to Gbps magnitude.
For MIMO technology, the receiving end needs to complete MIMO detection to eliminate interference between antennas and recover the transmit vector. The MIMO detection algorithm can be broadly divided into linear detection and non-linear detection, and it is often necessary to obtain noise energy for improving the detection performance of linear detection or reducing the detection complexity of non-linear detection. For MU-MIMO, the noise energy of different users needs to be obtained to complete multi-user scheduling. In the existing WLAN system, noise energy is often calculated according to a repeated long training sequence, and the noise energy determination method is affected by CFO (Carrier frequency offset), SFO (Sampling frequency offset), and the like, and the obtained noise energy error is large.
Disclosure of Invention
In this summary, concepts in a simplified form are introduced that are further described in the detailed description. This summary of the invention is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
In order to reduce the noise energy error required in MIMO detection, in a first aspect, the present invention provides a method for determining noise energy in a WLAN system, where the method includes:
carrying out OFDM demodulation on the short training sequence to obtain a signal to be demodulated in a frequency domain;
acquiring a zero carrier signal vector based on the frequency domain signal to be demodulated;
and determining the noise energy according to the zero carrier signal vector.
Optionally, the OFDM demodulation includes an FFT operation;
the OFDM demodulation on the short training sequence to obtain the frequency domain signal to be demodulated includes:
and performing FFT operation on the short training sequence to acquire the frequency domain signal to be demodulated.
Optionally, the performing FFT on the short training sequence to obtain the frequency domain signal to be demodulated includes:
performing FFT operation on the short training sequence to obtain a frequency domain signal to be demodulated
Figure BDA0003457700150000021
Figure BDA0003457700150000022
Where k is the subcarrier number, HkIs the frequency domain channel response value corresponding to subcarrier k,
Figure BDA0003457700150000023
is a short training sequence signal that is,
Figure BDA0003457700150000024
is noise.
Optionally, the obtaining a zero carrier signal vector based on the frequency domain signal to be demodulated includes:
acquiring the subcarrier number of the short training sequence signal as zero as the target subcarrier number: m + m1，±m2，…，±mb-1，±mbThere are 2b zero carrier signals;
obtaining the frequency domain signal to be demodulated corresponding to the target subcarrier number as the zero carrier signal vector
Figure BDA0003457700150000025
Wherein z is as defined aboveSTFIs a zero carrier signal vector, as described above
Figure BDA0003457700150000026
Are elements of the zero carrier signal vector described above.
Optionally, the determining the noise energy according to the zero carrier signal vector includes:
acquiring the total zero-carrier energy according to the zero-carrier signal vector;
acquiring zero carrier average energy based on the total zero carrier energy and the number of the zero carrier signals;
and selecting the zero carrier average energy as the noise energy.
Optionally, the obtaining of the total zero-carrier energy according to the zero-carrier vector includes:
by the formula
Figure BDA0003457700150000031
Obtaining total energy P of zero carrierGeneral assemblyWherein | is | | | is the 2 norm of the vector, | | is the absolute value of the complex number, z is aboveSTFIs a zero carrier signal vector, as described above
Figure BDA0003457700150000032
The b is half of the number of zero carrier signals, which are elements of the zero carrier signal vector.
Optionally, obtaining the zero carrier average energy based on the total zero carrier energy and the number of the zero carrier signals includes:
by the formula
Figure BDA0003457700150000033
Obtaining the above zero carrier average energy
Figure BDA0003457700150000034
Wherein, | | | | is the 2 norm of the vector, | |, is the absolute value of the complex number, z aboveSTFIs a zero-carrier-wave signal vector,
Figure BDA0003457700150000035
the above P is the total zero carrier energy, and the above 2b is the number of zero carrier signals.
In a second aspect, the present invention further provides a noise energy determination apparatus for a WLAN system, including:
the demodulation unit is used for carrying out OFDM demodulation on the short training sequence to obtain a signal to be demodulated in a frequency domain;
an obtaining unit, configured to obtain a zero carrier signal vector based on the frequency domain signal to be demodulated;
and the determining unit is used for determining the noise energy according to the zero carrier signal vector.
In a third aspect, an electronic device includes: a memory, a processor and a computer program stored in the memory and executable on the processor, the processor being configured to implement the steps of the noise energy determination method according to any of the first aspect as described above when executing the computer program stored in the memory.
In a fourth aspect, the present invention also proposes a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the noise energy determination method of any one of the above-mentioned first aspects.
In summary, the noise energy determination method for the WLAN system proposed by the present application includes: carrying out OFDM demodulation on the short training sequence to obtain a signal to be demodulated in a frequency domain; acquiring a zero carrier signal vector based on the frequency domain signal to be demodulated; and determining the noise energy according to the zero carrier signal vector. The method provided by the embodiment of the application determines the noise energy through the zero carrier signal by acquiring the zero carrier signal in the short training sequence. The influence of CFO and SFO can be avoided, meanwhile, the accuracy of the noise energy determination method can be further improved due to the fact that the number of the zero carriers in the short sequence is sufficient, meanwhile, the number of the zero carriers can be flexibly selected based on the selection of a developer, and engineering implementation is facilitated.
The noise energy determination method of the present invention, and other advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the specification. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic flowchart of a noise energy determination method for a WLAN system according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a noise energy determination apparatus for a WLAN system according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device for determining noise energy in a WLAN system according to an embodiment of the present disclosure.
Detailed Description
The method provided by the embodiment of the application determines the noise energy through the zero carrier signal by acquiring the zero carrier signal in the short training sequence. The influence of CFO and SFO can be avoided, meanwhile, the accuracy of the noise energy determination method can be further improved due to the fact that the number of the zero carriers in the short sequence is sufficient, meanwhile, the number of the zero carriers can be flexibly selected based on the selection of a developer, and engineering implementation is facilitated.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. 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, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments.
Referring to fig. 1, a schematic flow chart of a noise energy determination method for a WLAN system according to an embodiment of the present application may specifically include:
s110, OFDM demodulation is carried out on the short training sequence to obtain a signal to be demodulated in a frequency domain;
in some examples, OFDM (orthogonal Frequency Division Multiplexing), which is actually one of the multi-carrier modulations, is used. The main idea is as follows: the channel is divided into a plurality of orthogonal sub-channels, the high-speed data signal is converted into parallel low-speed sub-data streams, and the parallel low-speed sub-data streams are modulated to each sub-channel for transmission. The orthogonal signals can be separated by using correlation techniques at the receiving end, which can reduce mutual interference between the sub-channels.
OFDM is a high-speed transmission technique in a wireless environment. The frequency response curve of a wireless channel is mostly non-flat, and according to the characteristics of the OFDM technology, although the total channel is non-flat and has frequency selectivity, each sub-channel is relatively flat, narrow-band transmission is performed on each sub-channel, and the signal bandwidth is smaller than the corresponding bandwidth of the channel, so that the interference between signal waveforms can be better eliminated. Because the carriers of each sub-channel are orthogonal in the OFDM system, the frequency spectrums of the carriers are mutually overlapped, so that the mutual interference among the sub-carriers is reduced, and the frequency spectrum utilization rate is improved.
MIMO technology is intended to improve the capacity and spectrum utilization of a communication system by a multiple without increasing the bandwidth. Research has shown that in rayleigh fading channel environments, OFDM systems use MIMO techniques to improve capacity. For MIMO technology, the receiving end needs to complete MIMO detection to eliminate interference between antennas and recover the transmitted signal. The MIMO detection algorithm can be broadly divided into linear detection and non-linear detection, and it is often necessary to obtain noise energy for improving the detection performance of linear detection or reducing the detection complexity of non-linear detection. For MU-MIMO, the noise energy of different users needs to be obtained to complete multi-user scheduling. In the existing WLAN system, noise energy is often calculated according to a repeated long training sequence, and the noise energy determination method is affected by CFO (Carrier frequency offset), SFO (Sampling frequency offset), and the like, and the obtained energy error is large.
The method provided by the application performs OFDM demodulation on the short training sequence, that is, FFT operation is performed to obtain a frequency domain signal to be demodulated.
S120, acquiring a zero carrier signal vector based on the frequency domain signal to be demodulated;
illustratively, the frequency domain signal to be demodulated includes a plurality of subcarriers, and the frequency domain signal to be demodulated corresponding to the short training sequence signal being zero is selected as a zero carrier signal vector.
And S130, determining noise energy according to the zero carrier signal vector.
Illustratively, the noise energy is determined according to a zero carrier signal vector, because the zero carrier signal is obtained based on a short training sequence, the influence of CFO and SFO can be avoided, and the accuracy of noise is improved.
It can be understood that the noise determination method can flexibly select the number of the required zero carriers, thereby realizing controllable complexity and meeting engineering requirements.
In summary, the method provided by the embodiment of the present application determines the noise energy by obtaining the zero carrier signal in the short training sequence and by using the zero carrier signal. The influence of CFO and SFO can be avoided, meanwhile, the accuracy of the noise energy determination method can be further improved due to the fact that the number of the zero carriers in the short sequence is sufficient, meanwhile, the number of the zero carriers can be flexibly selected based on the selection of a developer, and engineering implementation is facilitated.
In some examples, the OFDM demodulation described above includes FFT operations;
the OFDM demodulation on the short training sequence to obtain the frequency domain signal to be demodulated includes:
and performing FFT operation on the short training sequence to acquire the frequency domain signal to be demodulated.
Illustratively, a signal to be demodulated in a frequency domain is obtained by performing a Fast Fourier Transform (FFT) operation on the short training sequence, where the signal to be demodulated in the frequency domain includes a plurality of subcarriers.
In some examples, the performing the FFT operation on the short training sequence to obtain the frequency-domain signal to be demodulated includes:
performing FFT operation on the short training sequence to obtain a frequency domain signal to be demodulated
Figure BDA0003457700150000071
Figure BDA0003457700150000072
Where k is the subcarrier number, HkIs the frequency domain channel response value corresponding to subcarrier k,
Figure BDA0003457700150000073
is a short training sequence signal that is,
Figure BDA0003457700150000074
is noise.
For example, after performing FFT operation on the short training sequence, the frequency domain to-be-demodulated signal as shown in formula (1) can be obtained
Figure BDA0003457700150000075
Figure BDA0003457700150000076
Where k is the subcarrier number, HkIs the frequency domain channel response value corresponding to subcarrier k,
Figure BDA0003457700150000077
is a short training sequence signal that is,
Figure BDA0003457700150000078
is noise.
In some examples, the obtaining a zero carrier signal vector based on the signal to be demodulated includes:
acquiring the subcarrier number of the short training sequence signal as zero as the target subcarrier number: m + m1，±m2，…，±mb-1，±mbThere are 2b zero carrier signals;
obtaining the signal to be demodulated corresponding to the target subcarrier number as the zero carrier signal vector zSTF：
Figure BDA0003457700150000081
Wherein z is as defined aboveSTFIs a zero carrier signal vector, as described above
Figure BDA0003457700150000082
Are elements of the zero carrier signal vector described above.
Illustratively, the subcarrier number for which the short training sequence signal is zero is obtained as the target subcarrier number, as shown in equation (1)
Figure BDA0003457700150000083
Is a short training sequence signal, selects
Figure BDA0003457700150000084
The value of time k is the target subcarrier number. At the moment, all frequency domain signals to be demodulated corresponding to the target subcarrier numbers
Figure BDA0003457700150000085
The vector of (a) is a zero carrier signal vector. For example: short training sequence
Figure BDA0003457700150000086
When k is 1, 3, 7, 9, 10. Thus, the device
Figure BDA0003457700150000087
Figure BDA0003457700150000088
A zero carrier signal vector.
In some examples, the determining noise energy from the zero carrier signal vector includes:
acquiring the total zero-carrier energy according to the zero-carrier signal vector;
acquiring zero carrier average energy based on the total zero carrier energy and the number of the zero carrier signals;
and selecting the zero carrier average energy as the noise energy.
Illustratively, the total energy of the plurality of zero carriers is obtained according to the zero carrier vector, and an average value is obtained as the noise energy through the total energy of the zero carriers and the number of zero carrier signals.
In summary, the embodiment of the present application is more accurate by obtaining the total energy of the plurality of zero carriers and calculating the average energy of the zero carriers as the noise energy, and can better meet the actual working condition of the system.
In some examples, the obtaining of the total zero-carrier energy from the zero-carrier signal vector includes:
by the formula
Figure BDA0003457700150000089
Obtaining total energy P of zero carrierGeneral assemblyWherein | is | | | is the 2 norm of the vector, | | is the absolute value of the complex number, z is aboveSTFIs a zero-carrier-wave signal vector,
Figure BDA00034577001500000810
b is half the number of zero carrier signals, which are elements of the zero carrier signal vector.
Illustratively, the sequence number k of the target subcarrier for determining the short training sequence signal as 0 is ± m1，±m2，…，±mb-1，±mbI.e. there are 2b zero carrier signals.
Frequency domain signal to be demodulated for extracting target subcarrier sequence number position according to target subcarrier sequence number
Figure BDA00034577001500000811
Obtaining a zero-carrier signal vector zSTF。
Figure BDA0003457700150000091
Solving the total energy P of the zero carrier wave according to the formula (2)General assembly：
Figure BDA0003457700150000092
Wherein | is | · | | is the 2 norm of the vector, | · | is the absolute value of the complex number, above
Figure BDA0003457700150000093
Are elements of the zero carrier described above.
In some examples, obtaining the zero carrier mean energy based on the total zero carrier energy and the number of zero carriers includes:
by the formula
Figure BDA0003457700150000094
Obtaining the above zero carrier average energy
Figure BDA0003457700150000095
Wherein | is | · | | is the 2 norm of the vector, | · | is the absolute value of the complex number, above
Figure BDA0003457700150000096
The elements of the zero carrier vector are, the P is always the total zero carrier energy, and the 2b is the number of zero carriers.
Exemplarily, the total zero-carrier energy P is determined according to equation (2)General assemblyObtaining according to the formula (3); zero carrier mean energy
Figure BDA0003457700150000097
Figure BDA0003457700150000098
Wherein | is | · | | is the 2 norm of the vector, | · | is the absolute value of the complex number, above
Figure BDA0003457700150000099
Elements of the above-mentioned zero carrier vector, PGeneral assemblyIs always zero carrierAnd 2b is the number of zero carriers.
In some examples, the method for determining noise may further include, for example, in an 802.11ac 20M system:
s210, carrying out FFT on the short training sequence through the formula (1) to obtain a frequency domain signal to be demodulated of the short training sequence
Figure BDA00034577001500000910
Figure BDA00034577001500000911
Wherein k (k ∈ { -28 … -11 … 28}) is a subcarrier number, HkIs the frequency domain channel estimate corresponding to subcarrier k,
Figure BDA0003457700150000101
is a short training sequence signal that is,
Figure BDA0003457700150000102
is noise;
s220, order
Figure BDA0003457700150000103
Is a zero carrier, i.e. is
Figure BDA0003457700150000104
And (3) obtaining the target subcarrier number { -28-27-26-25-23-22-21-19-18-17-15-14-13-11-10-9-7-6-5-3-2-1123567910111314151718192122232425262728 }, wherein the total number of the target subcarriers is 44 zero carriers.
S230, extracting the frequency domain to-be-demodulated signal at the zero carrier position according to the target subcarrier number to obtain a zero carrier signal vector zSTF。
Figure BDA0003457700150000105
S240, calculating a zero carrier signal vector z according to the formula (2)STFTotal energy PGeneral assembly：
Figure BDA0003457700150000106
Wherein m isiIs zero carrier number, takes the value of miE { -28-27-26-25-23-22-21-19-18-17-15-14-13-11-10-9-7-6-5-3-2-1123567910111314151718192122232425262728 }, and there are 44 zero carriers in total, i.e., b ═ 22.
S250, calculating a zero carrier signal vector z according to the formula (3)STFAnd averaging the energy to obtain noise energy P.
Figure BDA0003457700150000107
In summary, the method provided in this embodiment obtains the zero carrier signal in the short training sequence, and uses the average energy of the zero carrier signal as the noise energy. The influence of CFO and SFO can be avoided, meanwhile, the accuracy of the noise energy determination method can be further improved due to the fact that the number of the zero carriers in the short sequence is sufficient, the average energy is more accurate as the noise energy and can better meet the actual working condition of the system, the number of the zero carriers can be flexibly selected based on the selection of a developer, and engineering implementation is facilitated.
Referring to fig. 2, an embodiment of a noise energy determination apparatus in an embodiment of the present application may include:
a demodulation unit 21, configured to perform OFDM demodulation on the short training sequence to obtain a frequency domain signal to be demodulated;
an obtaining unit 22, configured to obtain a zero carrier signal vector based on the frequency domain signal to be demodulated;
a determining unit 23, configured to determine the noise energy according to the zero carrier signal vector.
As shown in fig. 3, the embodiment of the present application further provides an electronic device 300, which includes a memory 310, a processor 320 and a computer program 311 stored in the memory 320 and executable on the processor, and when the processor 320 executes the computer program 311, the steps of any one of the methods for determining noise energy described above are implemented.
Since the electronic device described in this embodiment is a device used for implementing a noise energy determination apparatus in this embodiment, based on the method described in this embodiment, a person skilled in the art can understand a specific implementation manner of the electronic device of this embodiment and various variations thereof, so that how to implement the method in this embodiment by the electronic device is not described in detail herein, and as long as the person skilled in the art implements the device used for implementing the method in this embodiment, the scope of protection intended by this application falls.
In a specific implementation, the computer program 311 may implement any of the embodiments corresponding to fig. 1 when executed by a processor.
It should be noted that, in the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to relevant descriptions of other embodiments for parts that are not described in detail in a certain embodiment.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Embodiments of the present application further provide a computer program product, which includes computer software instructions, when the computer software instructions are run on a processing device, cause the processing device to execute the flow of noise energy determination as in the corresponding embodiment of fig. 1.
The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the present application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). A computer-readable storage medium may be any available medium that a computer can store or a data storage device, such as a server, a data center, etc., that is integrated with one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed 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 can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims (10)

1. A method for determining noise energy for a WLAN system, comprising:
carrying out OFDM demodulation on the short training sequence to obtain a signal to be demodulated in a frequency domain;
acquiring a zero carrier signal vector based on the frequency domain signal to be demodulated;
and determining noise energy according to the zero carrier signal vector.
2. The method of claim 1, wherein the OFDM demodulation comprises an FFT operation;
the performing OFDM demodulation on the short training sequence to obtain a frequency domain signal to be demodulated includes:
and performing FFT operation on the short training sequence to acquire the frequency domain signal to be demodulated.
3. The method of claim 2, wherein the FFT operation on the short training sequence to obtain the frequency domain signal to be demodulated comprises:
performing FFT operation on the short training sequence to acquire a frequency domain signal to be demodulated
Figure FDA0003457700140000011
Figure FDA0003457700140000012
Where k is the subcarrier number, HkIs the frequency domain channel response value corresponding to subcarrier k,
Figure FDA0003457700140000013
is a short training sequence signal that is,
Figure FDA0003457700140000014
is noise.
4. The method of claim 1, wherein the obtaining a zero-carrier signal vector based on the frequency-domain signal to be demodulated comprises:
acquiring the subcarrier number of the short training sequence signal as zero as the target subcarrier number: m + m1，±m2，…，±mb-1，±mbThere are 2b zero carrier signals;
obtaining the frequency domain signal to be demodulated corresponding to the target subcarrier number as the zero carrier signal vector zSTF：
Figure FDA0003457700140000015
Wherein, z isSTFIs a zero carrier signal vector, said
Figure FDA0003457700140000021
Is an element of the zero carrier signal vector.
5. The method of claim 1, wherein said determining noise energy from said zero carrier signal vector comprises:
acquiring the total zero-carrier energy according to the zero-carrier signal vector;
acquiring zero carrier average energy based on the total zero carrier energy and the number of zero carrier signals;
and selecting the zero carrier average energy as the noise energy.
6. The method of claim 5, wherein said deriving a zero carrier total energy from said zero carrier signal vector comprises:
by the formula
Figure FDA0003457700140000022
Obtaining total energy P of zero carrierGeneral assemblyWherein, | | | | is the 2 norm of the vector, | is the absolute value of the complex number, zSTFIs a zero carrier signal vector, said
Figure FDA0003457700140000023
B is half of the number of zero carrier signals, which is an element of the zero carrier signal vector.
7. The method of claim 6, wherein obtaining a zero carrier mean energy based on the zero carrier total energy and a number of zero carrier signals comprises:
by the formula
Figure FDA0003457700140000024
Obtaining the zero carrier mean energy
Figure FDA0003457700140000025
WhereinAnd | is a 2 norm of the vector, | is an absolute value of the complex number, and z isSTFIs a wave vector of a zero-carrier signal,
Figure FDA0003457700140000026
and the P is the total zero-carrier energy and the 2b is the number of zero-carrier signals.
8. A noise energy determination apparatus for a WLAN system, comprising:
the demodulation unit is used for carrying out OFDM demodulation on the short training sequence to obtain a signal to be demodulated in a frequency domain;
an obtaining unit, configured to obtain a zero carrier signal vector based on the frequency domain signal to be demodulated;
a determining unit, configured to determine noise energy according to the zero carrier signal vector.
9. An electronic device, comprising: memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor is adapted to carry out the steps of the noise energy determination method according to any of claims 1-7 when executing the computer program stored in the memory.
10. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program, when being executed by a processor, implementing the noise energy determination method as defined in any one of claims 1-7.
CN202210011611.0A 2022-01-06 2022-01-06 Noise energy determination method for WLAN system and related equipment Pending CN114448475A (en)

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Citations (4)

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Publication number Priority date Publication date Assignee Title
US20050025041A1 (en) * 2003-07-14 2005-02-03 Stefano Marsili DC offset estimation and compensation in OFDM radio receivers by weighted averaging over a section of the training sequence
CN1802831A (en) * 2003-03-28 2006-07-12 英特尔公司 Method and device for adaptive phase compensation of OFDM signals
US20070053452A1 (en) * 2005-08-05 2007-03-08 Interdigital Technology Corporation Method and apparatus for estimating signal-to-noise ratio, noise power, and signal power
CN106465308A (en) * 2014-04-02 2017-02-22 华为技术有限公司 Signal transmission method and apparatus

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1802831A (en) * 2003-03-28 2006-07-12 英特尔公司 Method and device for adaptive phase compensation of OFDM signals
US20050025041A1 (en) * 2003-07-14 2005-02-03 Stefano Marsili DC offset estimation and compensation in OFDM radio receivers by weighted averaging over a section of the training sequence
US20070053452A1 (en) * 2005-08-05 2007-03-08 Interdigital Technology Corporation Method and apparatus for estimating signal-to-noise ratio, noise power, and signal power
CN106465308A (en) * 2014-04-02 2017-02-22 华为技术有限公司 Signal transmission method and apparatus

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Application publication date: 20220506