WO2012155459A1 - Procédé et dispositif pour corriger un décalage de fréquence - Google Patents

Procédé et dispositif pour corriger un décalage de fréquence Download PDF

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Publication number
WO2012155459A1
WO2012155459A1 PCT/CN2011/081276 CN2011081276W WO2012155459A1 WO 2012155459 A1 WO2012155459 A1 WO 2012155459A1 CN 2011081276 W CN2011081276 W CN 2011081276W WO 2012155459 A1 WO2012155459 A1 WO 2012155459A1
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Prior art keywords
matrix
frequency offset
constructed
average
normalized
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PCT/CN2011/081276
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English (en)
Chinese (zh)
Inventor
刘宜佳
郭军平
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中兴通讯股份有限公司
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Publication of WO2012155459A1 publication Critical patent/WO2012155459A1/fr

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/26Systems using multi-frequency codes
    • H04L27/2601Multicarrier modulation systems
    • H04L27/2647Arrangements specific to the receiver only
    • H04L27/2655Synchronisation arrangements
    • H04L27/2657Carrier synchronisation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/26Systems using multi-frequency codes
    • H04L27/2601Multicarrier modulation systems
    • H04L27/2647Arrangements specific to the receiver only
    • H04L27/2655Synchronisation arrangements
    • H04L27/2668Details of algorithms
    • H04L27/2673Details of algorithms characterised by synchronisation parameters
    • H04L27/2675Pilot or known symbols
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00Arrangements affording multiple use of the transmission path
    • H04L5/0001Arrangements for dividing the transmission path
    • H04L5/0014Three-dimensional division
    • H04L5/0023Time-frequency-space
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00Arrangements affording multiple use of the transmission path
    • H04L5/003Arrangements for allocating sub-channels of the transmission path
    • H04L5/0048Allocation of pilot signals, i.e. of signals known to the receiver

Definitions

  • the present invention relates to the field of wireless communication technologies, and in particular, to a frequency offset correction method and apparatus. Background technique
  • Orthogonal Frequency Division Multiplexing OFDM
  • the subcarrier spectrums are required to overlap each other, so strict requirements are imposed on the orthogonality between subcarriers. Once the orthogonality between the subcarriers is not strictly satisfied, interference occurs between the subcarriers, thereby deteriorating the performance of the system. So for OFDM systems and multiple input multiple outputs
  • the frequency deviation from the transmitter to the local oscillator (LO) of the receiver is called the carrier frequency offset.
  • CFO Doppler shift is also one of the CFO sources in mobile channel environments.
  • the CFO not only causes the phase rotation of the demodulation constellation point to affect the symbol decision, but also causes the orthogonality between the subcarriers of the OFDM system to be destroyed, resulting in mutual interference (ICI) between the subcarriers, resulting in serious system performance. decline.
  • ICI mutual interference
  • early rise has shown that a smaller CFO will result in a large system performance loss of OFDM, and also shows that under the Additive White Gaussian Noise (AWGN) channel, it is greater than 4% of the subcarrier spacing.
  • AWGN Additive White Gaussian Noise
  • the loss caused by the CFO of the multipath fading channel greater than 2% of the subcarrier spacing can not be neglected, and CFO estimation and compensation measures must be taken.
  • MIMO-OFDM systems are also very sensitive to CFOs.
  • an embodiment of the present invention provides a method and apparatus for frequency offset correction, which are used to
  • the carrier frequency offset in the OFDM system and the MIMO-OFDM system is estimated and corrected.
  • a method for frequency offset correction comprising:
  • the average of the responses of the different pilot subcarriers is obtained according to the response of all the pilot subcarriers of each Tilestrip in each subchannel, and the column vector is constructed according to this, and according to the structure
  • the column vector constructs the matrix, scales the constructed matrix, and normalizes the scaled matrix
  • the fast Fourier transform is performed according to the elements in the average value of the matrix normalized by the base station, and the frequency offset correction is performed according to the result of the fast Fourier transform.
  • the process of constructing a column vector according to the average of the responses of the different pilot subcarriers obtained includes:
  • the average of the obtained responses is divided into two groups, wherein the average of the pilot subcarrier responses with the odd sequence number is a group, and the pilot number with the serial number is even.
  • the average of the subcarrier responses is a group, and column vectors are constructed according to each group.
  • the process of constructing a matrix according to the constructed column vector includes:
  • '— 2 , , '′ and, '′ are responses of different pilot subcarriers; a matrix constructed by combining the sum of the two matrices R i as a column vector.
  • the method further includes:
  • the process of performing scale processing on the constructed matrix includes:
  • the real part and the virtual step of all elements in the matrix are shifted to the left by S1 bit;
  • the process of normalizing the scaled matrix includes: determining a sum of real parts of the diagonal elements of the matrix after the scale processing, using the sum as a trace of the matrix; determining the matrix and the The quotient of the trace of the matrix, which is the result of normalization of the matrix.
  • the process of performing frequency offset correction according to the result of the fast Fourier transform includes:
  • D is the normalized frequency offset, which is the value of the carrier before the frequency offset correction
  • Si is the corrected value
  • the method further includes: before performing the frequency offset correction, the method further includes:
  • a frequency offset correction device includes:
  • a first normalization processing module configured to receive data on an antenna of a base station, Obtaining the average of the responses of different pilot subcarriers according to the response of all the pilot subcarriers of each Tilestrip in each subchannel, constructing a column vector according to the structure, and constructing a matrix according to the constructed column vector to scale the constructed matrix Processing, normalizing the scaled matrix; a second normalization processing module for determining an average of the normalized matrix of each antenna according to the normalized matrix of each Tilestrip And determining an average value of the normalized matrix of the base station according to the method;
  • a frequency offset correction module configured to perform fast Fourier transform according to an element in an average value of the matrix normalized by the base station, and perform frequency offset correction according to the result of the fast Fourier transform.
  • the first normalization processing module is configured to: when constructing a column vector according to the average of the responses of the different pilot subcarriers obtained:
  • the average of the obtained responses is divided into two groups, wherein the average of the pilot subcarrier responses with the odd sequence number is a group, and the pilot number with the serial number is even.
  • the average of the subcarrier responses is a group, and column vectors are constructed according to each group.
  • the first normalization processing module constructs a matrix according to the constructed column vector, and is configured to: construct two matrices and ⁇ according to the constructed column vector ⁇ ⁇ , z 2 , where
  • the sum of the two matrices ⁇ and R 2 is constructed as a matrix of column vectors.
  • the first normalization processing module performs scale processing on the constructed matrix, and is used to: determine an element with the largest absolute value of the real part and the imaginary part of all elements in the constructed matrix. M;
  • the real part and the virtual step of all elements in the matrix are shifted to the left by S1 bit;
  • the first normalization processing module is used to: when normalizing the scale processed matrix:
  • the sum of the real parts of the diagonal elements of the matrix after scale processing is determined, and the sum is taken as a trace of the matrix; the quotient of the matrix and the trace of the matrix is determined, and the quotient is used as a result of normalization to the matrix.
  • the offset correction module corrects the frequency offset based on a result of the fast Fourier transform, for: _ offset correction is performed according to 3, where i represents the i-th OFDM symbol,
  • D is the normalized frequency offset, which is the value of the carrier before the frequency offset correction
  • Si is the corrected value
  • the device further includes:
  • a frequency offset estimation module configured to determine a real part structure according to a column vector constructed by an element in an average value of the normalized matrix and a column vector constructed by the real part of the column vector fast Fourier transform The position of the maximum value in the column vector, from which the frequency offset estimation is performed to determine the normalized frequency offset.
  • Embodiments of the present invention provide a method and apparatus for frequency offset correction, constructing corresponding matrices by using responses of all pilot subcarriers of each Tilestrip in each subchannel, and normalizing and processing the constructed matrix to determine The average of the normalized matrix of each antenna, thereby determining the average of the normalized matrix of each receiving antenna in the base station, and performing fast Fourier transform according to determining the average value of the normalized matrix of the base station Therefore, the frequency offset estimation is performed, and the frequency offset correction is performed according to the result of the frequency offset estimation.
  • the invention achieves estimation and correction of frequency offset in an OFDM system.
  • FIG. 2 is a schematic diagram of a basic resource structure of an uplink data channel in an IEEE 802.16e system
  • FIG. 3 is a diagram of a device for frequency offset correction according to an embodiment of the present invention. detailed description
  • FIG. 1 is a process of frequency offset correction according to an embodiment of the present invention, where the process includes the following steps:
  • S101 Obtain an average value of responses of different pilot subcarriers according to responses of all pilot subcarriers of each Tilestrip in each subchannel for data received on one antenna of the base station.
  • Tilestrip is a collection of Tiles of a user on the same frequency resource, which is a 2-dimensional concept.
  • the Tilestrip contains (4*3*SlotDurNum) subcarriers.
  • S102 Construct a column vector according to the average of the responses of the obtained different pilot subcarriers, and construct a matrix according to the constructed column vector, and perform scale processing on the constructed matrix.
  • the scaled scale processing that is, a set of data is enlarged or reduced by 2a times to adapt to its storage range; wherein a is a scale value, the 2a times is equivalent to shifting a bit; a is positive means left shift, a is Negative means right shift.
  • Configuring the column vector according to the average of the responses of the different pilot subcarriers obtained includes: determining the sequence number corresponding to the average value of the different pilot subcarriers according to the number of the OFDM symbols of the pilot subcarriers in the time domain;
  • the average of the obtained responses is divided into two groups, wherein the average of the pilot subcarrier responses with the odd sequence number is a group, and the pilot number with the serial number is even.
  • the average of the subcarrier responses is a group, and column vectors are constructed according to each group. Constructing a matrix based on the constructed column vector includes:
  • A'' and ' ⁇ are responses of different pilot subcarriers
  • S103 The matrix processed by the scale and the trace of the processed matrix are normalized to the processed matrix.
  • the matrix is normalized according to the scale processed matrix and the trace of the matrix, including:
  • S104 Determine, according to the normalized matrix of each Tilestrip, an average value of the normalized matrix of each antenna, and determine the base station normalization according to the determined average value of the normalized matrix of each antenna. The average of the matrix after the transformation.
  • S105 Perform fast Fourier transform according to the elements in the average value of the matrix normalized by the base station, and perform frequency offset correction according to the result of the fast Fourier transform.
  • the method further includes: a column vector constructed according to an element in an average value of the normalized matrix, and a fast Fourier transform on the column vector a column vector constructed by the real part of the column vector, determining the position of the maximum value in the column vector of the real part structure;
  • a frequency offset estimation is performed to determine a normalized frequency offset. Since the embodiment of the present invention constructs a corresponding matrix by responding to all pilot subcarriers of each Tilestrip in each subchannel, and normalizing the constructed matrix, determining the average of the normalized matrix of each antenna. a value, thereby determining an average value of a matrix normalized by each receiving antenna of the base station, performing fast Fourier transform according to determining an average value of the normalized matrix of the base station, thereby performing frequency offset estimation, and estimating by frequency offset The result is frequency offset correction. Thereby, the estimation and correction of the frequency offset in the OFDM system is realized.
  • FIG. 2 is a schematic diagram of a basic resource structure of an uplink data channel in an IEEE 802.16e system.
  • the horizontal axis is a time domain OFDM symbol
  • the vertical axis is a frequency domain subcarrier, including N physical resource units, where the background is a shaded square.
  • the grid represents the pilot carrier, and the other squares represent the data carrier.
  • the scheme of frequency offset estimation and correction proposed by the embodiment of the present invention is implemented based on this structure.
  • a base station Since six Tilestrips are included in one subchannel, a base station includes a plurality of subchannels on one antenna.
  • a Tilestrip is selected, and responses of all pilot subcarriers in the Tilestrip are taken out, for example, ⁇ , ⁇ ... ⁇ and ⁇ ,) ⁇ Certainly ⁇ , where 111 is the mth subcarrier in the frequency domain, and n is the nth OFDM symbol in the time domain.
  • the responses to different pilot subcarriers are averaged for the same time domain OFDM symbols. According to the above FIG. 2, the process of finding the average value of the response is to divide the upper and lower pilots.
  • the response of the acquired different pilot subcarriers needs to be shifted right by 1 bit, and the response of the pilot subcarrier after the right shift is performed. Adding, then dividing by 2, is the average of the responses.
  • the sequence number corresponding to the average of the responses of the different pilot subcarriers is determined according to the number of the OFDM symbols of the pilot subcarriers in the time domain. After obtaining the average of the responses of different pilot subcarriers, the average value of the obtained responses is divided into In the two groups, the average of the responses of the pilot subcarriers with the odd sequence number is a group, and the average of the responses of the pilot subcarriers with the even sequence number is a group. That is due to
  • the first group includes , 3 ⁇ 4 ⁇ - ⁇
  • the second group includes
  • a column vector is constructed based on the average of the responses of the different pilot subcarriers contained in each group after grouping.
  • Z 2 [3 ⁇ 4, ,..., 3 ⁇ 4 ⁇ , and construct two matrices ⁇ and R 2 according to the constructed two column vectors ⁇ 1, ⁇ 2 , where
  • R R l + R 2.
  • the matrix R needs to be scaled, wherein the process of scaling the matrix R includes: determining an element M having the largest absolute value of the real part and the imaginary part of all elements in the matrix, where M is a value greater than 0; determining the number of bits S1 of the element M relative to the left bit shift of the 32-bit signed number; and according to the determined number of bits S1, the real part and the virtual step of all elements in the matrix R are shifted to the left by S1; The high 16 bits of the real part and the imaginary part of all the elements in the matrix after the left shift are intercepted as the matrix R after the scale processing.
  • the resulting matrix can be represented by R.
  • the process of the normalization process in the embodiment of the present invention includes: the matrix processed according to the scale R, and the trace of the R, matrix, normalize the matrix R after the scale processing. And normalizing the matrix R after the scale processing according to the matrix R after the scale processing, and the trace of the R, the matrix, comprising: determining a diagonal element of the matrix R after the scale processing The sum of the real part, the sum of the sum as the matrix R, the quotient of the trace R, and the trace of the matrix R, which is the normalized result R of the matrix R, ie irace( R ')
  • the trace ira (R ') of the matrix R ' may be first determined according to the sum of the real parts of the diagonal elements of the matrix R ', and the calculation ira ⁇
  • the maximum number of bits S2 can be shifted to the left, ⁇ ) is shifted left (S2-15), and scale(TileIdx) -S2 is recorded.
  • the 32-bit unsigned number division function divide 0x3ffffffff by trace R , and record the result W. At this time, the range of W is 0x3fff ⁇ 0x7ffff. All elements of the matrix R ' are multiplied by W to obtain a normalized matrix.
  • each Tilestrip is processed according to the above process, and the normalized matrix R corresponding to each Tilestrip is obtained. And the value of the scale(Tileldx) corresponding to the matrix, and the normalized matrix corresponding to all the Tilestrips in the subchannel is averaged for each subchannel.
  • the averaged matrix corresponding to all the tiles in the subchannel is averaged for each subchannel, including:
  • the normalized matrix of the Tilestrip corresponding to the scaleMin is the unified matrix corresponding to the Tilestrip.
  • each antenna includes a plurality of subchannels, and an average of the normalized matrices of each of the antennas is determined according to the determined normalized matrices of all the Tilestris in each subchannel.
  • the process of determining the average value of the normalized matrix of each antenna is similar to the process of determining the average value of the normalized matrix of each subchannel, that is, for each subchannel corresponding to the scale (channelldx), The minimum value of scale (channelldx), for the minimum value of the scale (channelldx), the unified matrix of each other subchannel relative to the minimum value of the scale (channelldx), unified for each subchannel A matrix, determining an average of the normalized matrix of the antenna, and taking the minimum value of the scale (channelldx) as the scale (AntIdx) of the antenna.
  • the average of the normalized matrix of the base station is determined according to the average of the normalized matrix of each antenna.
  • determining the average value of the normalized matrix of the base station determining the base station normalization according to the average value of the normalized matrix of each antenna and the scale (Antldx) of the antenna saved for each antenna.
  • the average of the matrix after the transformation, the specific process and the above-mentioned determination of the matrix of each subchannel normalized The mean, and the process of determining the average of the normalized matrix for each antenna are similar, and are not mentioned here.
  • N-k _ ' ° ( 0 ⁇ k ⁇ N )
  • Idx Idx - 512;
  • the normalized frequency offset is determined, wherein the normalized frequency offset D is.
  • all carriers scheduled for the current user can be , phase
  • D is the normalized frequency offset, which is the value of the carrier before the frequency offset correction
  • Si is the corrected value
  • the table creation process is as follows: Since the value of Idx is -128 ⁇ 127.
  • I cos( (2*3.14*Idx/3/512) * i) * 0x7fff;
  • Idx is -128 ⁇ 127.
  • I and Q are stored as high 16bit and low 16bit of the table, respectively.
  • FIG. 3 is a schematic structural diagram of an apparatus for frequency offset correction according to an embodiment of the present invention, where the apparatus includes:
  • a first normalization processing module 31 configured to receive data on an antenna of the base station, Obtaining an average value of responses of different pilot subcarriers according to responses of all pilot subcarriers of each Tilestrip in each subchannel, constructing a column vector according to the average of the responses of the obtained different pilot subcarriers, and constructing according to the The column vector constructs a matrix, performs scale processing on the constructed matrix, and normalizes the matrix according to the scale processed matrix and the trace of the matrix;
  • the second normalization processing module 32 is configured to determine, according to each Tilestrip normalized matrix, an average value of the normalized matrix of each antenna, and according to the determined matrix normalized by each antenna The average value of the average of the matrices of the base station;
  • the frequency offset correction module 33 is configured to perform fast Fourier transform according to the elements in the average value of the matrix normalized by the base station, and perform frequency offset correction according to the result of the fast Fourier transform.
  • the first normalization processing module 31 is specifically configured to determine, according to the number of OFDM symbols of the pilot subcarriers in the time domain, a sequence number corresponding to an average value of different pilot subcarriers; when different pilot subcarriers are acquired After the average of the responses, the average of the responses obtained is divided into two groups, wherein the average of the pilot subcarrier responses with odd sequence numbers is one group, and the average value of the pilot subcarrier responses with even serial numbers is one. Group, construct a column vector based on each group.
  • the first normalization processing module 31 is specifically configured to construct two matrices according to the constructed column vector ⁇ ⁇ , ⁇ 2, and
  • , '' and ' are the responses of the different pilot subcarriers; determine the sum of the two matrices R l and R 2 constructed, and construct the sum as a matrix of column vectors.
  • the first normalization processing module 31 is specifically configured to determine an element M having the largest absolute value among the real and imaginary parts of all elements in the matrix, where M is a value greater than zero; determining that the element M is symbolic with respect to 32 bits The number of bits shifted up to the left by S1; according to the determined number of bits S1, the matrix is The real and virtual steps of all elements are shifted to the left by the S1 bit; the high 16 bits of the real and imaginary parts of all elements in the matrix after truncation are taken as the matrix after scale processing, where M is a value greater than zero.
  • the first normalization processing module 31 is specifically configured to determine a sum of real parts of diagonal elements of the matrix after the scale processing, and use the sum as a trace of the matrix; determine a quotient of the matrix and the trace of the matrix, The quotient is the result of normalization to the matrix.
  • each Tilestrip is processed according to the above process, and each is obtained.
  • the normalized matrix R corresponding to Tilestri and the value of scale(Tileldx) corresponding to the matrix are averaged for each subchannel corresponding to the normalized matrix of all Tilestrips in the subchannel.
  • the averaged matrix corresponding to all the tiles in the subchannel is averaged for each subchannel, including:
  • the normalized matrix of the Tilestrip corresponding to the scaleMin is the unified matrix corresponding to the Tilestrip.
  • each antenna includes multiple subchannels, according to all determined within each subchannel
  • the normalized matrix corresponding to Tilestri is averaged to determine the average of the normalized matrix for each antenna.
  • the process of determining the average value of the normalized matrix of each antenna is similar to the process of determining the average value of the normalized matrix of each subchannel, that is, for each subchannel corresponding to the scale (channelldx), The minimum value of scale (channelldx), for the minimum value of the scale (channelldx), the unified matrix of each other subchannel relative to the minimum value of the scale (channelldx), unified for each subchannel A matrix, determining an average of the normalized matrix of the antenna, and taking the minimum value of the scale (channelldx) as the scale (AntIdx) of the antenna.
  • the average of the normalized matrix of the base station is determined based on the average of the normalized matrix of each antenna.
  • determining the average value of the normalized matrix of the base station determining the base station normalization according to the average value of the normalized matrix of each antenna and the scale (Antldx) of the antenna saved for each antenna.
  • the average value of the matrix after the normalization is similar to the above-mentioned method of determining the average value of the matrix normalized by each subchannel and determining the average value of the normalized matrix of each antenna, which will not be described here. .
  • the device also includes:
  • a frequency offset estimation module 34 configured to determine a real part of the column vector constructed according to an element in the average value of the normalized matrix, and a column vector constructed by the real part of the column vector fast Fourier transform The position of the maximum value in the constructed column vector; based on the determined position of the maximum value, frequency offset estimation is performed to determine the normalized frequency offset.
  • the frequency offset correction module 33 is specifically configured to perform frequency offset correction according to _ 2 ', where i represents an ith OFDM symbol and D is a normalized frequency offset.
  • Embodiments of the present invention provide a method and apparatus for frequency offset correction, which constructs a corresponding matrix by using responses of all pilot subcarriers of each Tilestrip in each subchannel, and normalizes the constructed matrix. Determining an average value of the normalized matrix of each antenna, thereby determining an average value of the normalized matrix of each receiving antenna of the base station, and performing fast Fourier according to determining the average value of the normalized matrix of the base station The leaf transforms, thereby performing frequency offset estimation, and performs frequency offset correction based on the result of the frequency offset estimation. Thereby, the estimation and correction of the frequency offset in the OFDM system is realized.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

L'invention concerne un procédé et dispositif for corriger un décalage de fréquence. A l'aide de la réponse de toute la porteuse pilote pour chaque frise de chaque sous-canal, la matrice correspondante est construite, la matrice construite est normalisée et la moyenne de la matrice normalisée de chaque antenne est déterminée, la moyenne de la matrice normalisée de chaque antenne reçue pour la station de base étant ainsi déterminée, et la transformation de Fourier rapide (FFT) est effectuée en fonction de celle-ci, l'estimation du décalage de fréquence étant ainsi effectuée, puis le décalage de fréquence est corrigé en fonction du résultat de l'estimation du décalage de fréquence. Par conséquent, l'estimation et la correction du décalage de fréquence sont réalisées dans le système à multiplexage par répartition orthogonale de la fréquence (OFDM).
PCT/CN2011/081276 2011-05-18 2011-10-25 Procédé et dispositif pour corriger un décalage de fréquence WO2012155459A1 (fr)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107294678A (zh) * 2016-03-31 2017-10-24 上海贝尔股份有限公司 用于信道估计的方法和通信设备

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104639485B (zh) * 2013-11-12 2019-01-04 联咏科技股份有限公司 载波频率偏移校正方法与载波频率偏移校正系统
CN106059984A (zh) * 2015-12-10 2016-10-26 国网山东省电力公司烟台供电公司 一种数字调相信号载波相偏估计方法
US10627483B2 (en) * 2016-07-09 2020-04-21 Texas Instruments Incorporated Methods and apparatus for velocity detection in MIMO radar including velocity ambiguity resolution

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040111227A1 (en) * 2002-11-26 2004-06-10 Yosef Stein Method and system for fixed point fast fourier transform with improved SNR
CN101022442A (zh) * 2007-01-16 2007-08-22 西安交通大学 一种ofdm系统中联合时间同步和频偏估计方法
CN101505290A (zh) * 2009-03-17 2009-08-12 山东大学 改进的宽带mimo中频偏估计方法

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040111227A1 (en) * 2002-11-26 2004-06-10 Yosef Stein Method and system for fixed point fast fourier transform with improved SNR
CN101022442A (zh) * 2007-01-16 2007-08-22 西安交通大学 一种ofdm系统中联合时间同步和频偏估计方法
CN101505290A (zh) * 2009-03-17 2009-08-12 山东大学 改进的宽带mimo中频偏估计方法

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107294678A (zh) * 2016-03-31 2017-10-24 上海贝尔股份有限公司 用于信道估计的方法和通信设备
CN107294678B (zh) * 2016-03-31 2020-10-02 上海诺基亚贝尔股份有限公司 用于信道估计的方法和通信设备

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