WO2016061796A1 - Procédé et appareil d'estimation de canaux - Google Patents

Procédé et appareil d'estimation de canaux Download PDF

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Publication number
WO2016061796A1
WO2016061796A1 PCT/CN2014/089333 CN2014089333W WO2016061796A1 WO 2016061796 A1 WO2016061796 A1 WO 2016061796A1 CN 2014089333 W CN2014089333 W CN 2014089333W WO 2016061796 A1 WO2016061796 A1 WO 2016061796A1
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Prior art keywords
carrier
channel estimation
null
pilot
received signal
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PCT/CN2014/089333
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English (en)
Chinese (zh)
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薛鑫
颜敏
董超科
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华为技术有限公司
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Priority to PCT/CN2014/089333 priority Critical patent/WO2016061796A1/fr
Priority to CN201480081411.6A priority patent/CN106576086B/zh
Publication of WO2016061796A1 publication Critical patent/WO2016061796A1/fr

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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

Definitions

  • the present invention relates to the field of communications technologies, and in particular, to a method and apparatus for channel estimation.
  • the channel estimation quality will directly affect the product performance of the chip, so a simple and excellent channel estimation algorithm will greatly enhance the product.
  • Competitiveness There is a 3dB performance error between the existing LS (English: Least Square) algorithm compared to the ideal channel estimation algorithm.
  • the general processing method is to filter the initial channel estimation value obtained by the LS algorithm to improve the accuracy of the channel estimation value.
  • the filtering processing method for the initial channel estimation value is: first, the initial channel estimation value is transformed into the time domain by IFFT (English: Inverse Fast Fourier Transform, referred to as: Fast Fourier Transform), and is performed in the time domain. Time domain filtering, retaining multipath information within the length of CP (English: Cycle Prefix, referred to as cyclic prefix), filtering out noise interference outside multipath, and then passing FFT (English: Fast Fourier Transformation, referred to as: Fast Fourier Transform) transforms to the frequency domain channel.
  • IFFT Inverse Fast Fourier Transform
  • Fast Fourier Transform Time domain filtering, retaining multipath information within the length of CP (English: Cycle Prefix, referred to as cyclic prefix), filtering out noise interference outside multipath, and then passing FFT (English: Fast Fourier Transformation, referred to as: Fast Fourier Transform) transforms to the frequency domain channel.
  • the transmitted signal is processed by CSD (Cyclic Shift Diversity, referred to as diversity cyclic shift), and the processing is equivalent to the distribution of the multipath in the initial channel estimation value in the channel.
  • CSD Cyclic Shift Diversity
  • the processing is equivalent to the distribution of the multipath in the initial channel estimation value in the channel.
  • the embodiments of the present invention provide a method and an apparatus for channel estimation.
  • the technical solution is as follows:
  • the first aspect a method for channel estimation, includes:
  • time domain filtering on the channel estimate of the data carrier and the channel estimate of the null carrier and the pilot carrier in the filter according to the determined tap coefficient; time domain characteristics of the filter including diversity Channel multipath information affected by cyclic shift CSD;
  • a channel estimation value of the final data carrier is obtained.
  • the null carrier and the pilot carrier in the received signal are padded according to a channel estimation value of the data carrier, and the null carrier and the guide are obtained.
  • the channel estimate of the frequency carrier including:
  • the communication standard of the received signal is 802.11ac, determining the locations of the null carrier and the pilot carrier according to the orthogonal frequency division multiplexing OFDM symbols in the received signal;
  • the determining, according to a location of the null carrier and a pilot carrier, and a channel estimation value of the data carrier, Performing a padding process on the null carrier and the pilot carrier in the received signal to obtain channel estimation values of the null carrier and the pilot carrier including:
  • the location of the null carrier and the pilot carrier is located in the guard band, determining a channel estimate of the data carrier closest to the location of the null carrier and the pilot carrier as the channel estimate of the null carrier and the pilot carrier ;
  • the location of the null carrier and the pilot carrier is in the non-protection band, determining the null carrier and the channel by linear interpolation according to channel estimation values of the data carriers located at positions before and after the null carrier and the pilot carrier The channel estimate of the frequency carrier.
  • the selecting a tap coefficient of the filter according to the modulation manner includes:
  • a preset first tap coefficient is selected as the tap coefficient of the filter.
  • the selecting a tap coefficient of the filter according to the modulation manner includes:
  • a preset second tap coefficient is selected as the tap coefficient of the filter.
  • the selecting a tap coefficient in the filter according to the modulation mode and the signal to noise ratio further includes:
  • the channel estimation value of the data carrier and the channel estimation value of the null carrier and the pilot carrier are not used.
  • the domain filtering process determines the channel estimate of the data carrier as the channel estimate of the final data carrier.
  • a second aspect a device for channel estimation, comprising:
  • An initial estimation module configured to perform initial channel estimation on the data carrier in the received signal
  • An elimination processing module configured to obtain a channel estimation value of the data carrier after performing gamma factor elimination processing
  • a padding processing module configured to perform padding processing on the null carrier and the pilot carrier in the received signal according to the channel estimation value of the data carrier, to obtain channel estimation values of the null carrier and the pilot carrier;
  • a first determining module configured to acquire a modulation mode of the received signal, and determine a tap coefficient of the filter according to the modulation mode
  • a filtering module configured to perform frequency domain filtering on a channel estimation value of the data carrier and a channel estimation value of the null carrier and a pilot carrier in the filter according to the determined tap coefficient;
  • the time domain feature includes channel multipath information affected by the diversity cyclic shift CSD;
  • And adding a processing module configured to perform a gamma factor adding process on the filtered channel estimation value of the data carrier, to obtain a channel estimation value of the final data carrier.
  • the padding processing module includes:
  • a first determining unit configured to determine the received signal according to a preamble sequence in the received signal Communication standard
  • a second determining unit configured to determine, according to the orthogonal frequency division multiplexing OFDM symbol in the received signal, a location of the null carrier and a pilot carrier if the communication standard of the received signal is 802.11ac;
  • a padding processing unit configured to perform padding processing on the null carrier and the pilot carrier in the received signal according to the location of the null carrier and the pilot carrier and the channel estimation value of the data carrier to obtain the null carrier and the guide The channel estimate of the frequency carrier.
  • the padding processing unit includes:
  • a first padding processing subunit configured to determine, if the location of the null carrier and the pilot carrier is in a guard band, a channel estimation value of a data carrier that is closest to a location of the null carrier and the pilot carrier as the null Channel estimation values for carrier and pilot carriers;
  • a second padding processing sub-unit configured to linearly interpolate channel estimation values of data carriers located at positions before and after the null carrier and the pilot carrier if the locations of the null carrier and the pilot carrier are located in the unprotected band In a manner, a channel estimate of the null carrier and the pilot carrier is determined.
  • the first determining module includes:
  • a first selecting unit configured to select a preset first tap coefficient as the tap coefficient of the filter if the modulation mode is low-order modulation.
  • the first determining module includes:
  • a second selecting unit configured to select a preset second tap coefficient as the tap of the filter if the modulation mode is high-order modulation and a signal-to-noise ratio of the received signal is less than or equal to a preset signal-to-noise ratio coefficient.
  • the device further includes:
  • a second determining module configured to: if the modulation mode is high-order modulation, and the signal-to-noise ratio of the received signal is greater than a preset signal-to-noise ratio, do not estimate channel values of the data carrier, and the null carrier and pilot
  • the channel estimation value of the carrier performs frequency domain filtering processing, and determines a channel estimation value of the data carrier as a channel estimation value of the final data carrier.
  • a third aspect a transceiver device, comprising: a processor and a transceiver,
  • the processor is configured to perform initial channel estimation and gamma factor elimination processing on the data carrier in the received signal to obtain a channel estimation value of the data carrier; and according to the channel estimation value of the data carrier, in the received signal
  • the null carrier and the pilot carrier are padded to obtain the null carrier And a channel estimation value of the pilot carrier; acquiring a modulation mode of the received signal, and determining a tap coefficient of the filter according to the modulation mode; and performing gamma factor addition processing on the filtered channel estimation value of the data carrier, Obtaining a channel estimate of the final data carrier;
  • the transceiver is configured to perform frequency domain filtering on a channel estimation value of the data carrier and a channel estimation value of the null carrier and a pilot carrier in the filter according to the determined tap coefficient;
  • the time domain characteristics of the device include channel multipath information affected by the diversity cyclic shift CSD.
  • the processor is further configured to determine a communication standard of the received signal according to a preamble sequence in the received signal; if the communication standard of the received signal is 802.11ac, according to an orthogonal frequency in the received signal Demultiplexing OFDM symbols determining locations of the null carriers and pilot carriers; null carriers and pilots in the received signal based on locations of the null carriers and pilot carriers and channel estimates of the data carriers The carrier performs padding processing to obtain channel estimates of the null carrier and the pilot carrier.
  • the processor is further configured to determine, if the location of the null carrier and the pilot carrier is in a guard band, a channel estimation value of a data carrier that is closest to a location of the null carrier and the pilot carrier as the null carrier And a channel estimation value of the pilot carrier; if the location of the null carrier and the pilot carrier is in the non-protection band, linearly interpolating according to channel estimation values of the data carriers located at positions before and after the null carrier and the pilot carrier In a manner, a channel estimate of the null carrier and the pilot carrier is determined.
  • the processor is further configured to: if the modulation mode is low-order modulation, select a preset first tap coefficient as a tap coefficient of the filter.
  • the processor is further configured to: if the modulation mode is high-order modulation and a signal-to-noise ratio of the received signal is less than or equal to a preset signal-to-noise ratio, select a preset second tap coefficient as the filter Tap coefficient.
  • the processor is further configured to: if the modulation mode is high-order modulation, and the signal-to-noise ratio of the received signal is greater than a preset signal-to-noise ratio, the channel estimation value of the data carrier and the null carrier and the guide are not used.
  • the channel estimate of the frequency carrier is subjected to frequency domain filtering processing, and the channel estimation value of the data carrier is determined as the channel estimation value of the final data carrier.
  • the technical solution provided by the embodiment of the present invention obtains a channel estimation value of the data carrier by performing initial channel estimation and gamma factor elimination processing on the data carrier in the received signal, and receiving the channel according to the channel estimation value of the data carrier.
  • the null carrier and the pilot carrier in the signal are padded to obtain channel estimation values of the null carrier and the pilot carrier, and the tap coefficients of the filter are selected according to the modulation mode of the received signal, and the channel estimation value of the data carrier is obtained.
  • only the frequency domain filtering can reduce the channel error of the channel estimation value of the data carrier, reduce the complexity and delay of the operation, and improve the efficiency of channel estimation.
  • FIG. 1 is a flowchart of a method for channel estimation according to Embodiment 1 of the present invention.
  • FIG. 2 is a flowchart of a method for channel estimation according to Embodiment 2 of the present invention.
  • FIG. 3 is a schematic diagram of a simulation result provided in a method for channel estimation according to Embodiment 2 of the present invention.
  • FIG. 4 is a schematic diagram of another simulation result provided in the method for channel estimation according to Embodiment 2 of the present invention.
  • FIG. 5 is a schematic diagram of another simulation result provided in the method for channel estimation according to Embodiment 2 of the present invention.
  • FIG. 6 is a schematic diagram of another simulation result provided in the method for channel estimation according to Embodiment 2 of the present invention.
  • FIG. 7 is a schematic diagram of another simulation result provided in the method for channel estimation according to Embodiment 2 of the present invention.
  • FIG. 8 is a schematic structural diagram of an apparatus for channel estimation according to Embodiment 3 of the present invention.
  • FIG. 9 is a schematic structural diagram of a transceiver device according to Embodiment 4 of the present invention.
  • the embodiment of the present invention provides a method for channel estimation, as shown in FIG. 1 .
  • the method includes:
  • Step 102 Perform padding processing on the null carrier and the pilot carrier in the received signal according to the channel estimation value of the data carrier, and obtain channel estimation values of the null carrier and the pilot carrier.
  • the time domain characteristic of the filter includes multiple channels affected by the diversity cyclic shift CSD Path information
  • the channel estimation value of the data carrier is obtained by performing initial channel estimation and gamma factor elimination processing on the data carrier in the received signal, and performing null carrier and pilot carrier in the received signal according to the channel estimation value of the data carrier. After filling, the channel estimation values of the null carrier and the pilot carrier are obtained, and the tap coefficients of the filter are selected according to the modulation mode of the received signal, and the channel estimation value of the data carrier and the channel estimation values of the null carrier and the pilot carrier are performed in the frequency domain. Filtering, and performing gamma factor addition processing on the channel estimation value of the filtered data carrier to obtain a channel estimation value of the final data carrier. On the basis of the LS algorithm, only the frequency domain filtering can reduce the channel error of the channel estimation value of the data carrier, reduce the complexity and delay of the operation, and improve the efficiency of channel estimation.
  • the embodiment of the present invention provides a method for channel estimation, as shown in FIG. 2 .
  • the method includes:
  • the receiver After receiving the received signal, the receiver converts the received signal into a frequency domain signal by FFT.
  • the operation of the LS algorithm is performed on each data carrier portion of the frequency domain signal.
  • the method for performing gamma factor elimination processing on the initial channel estimation value is:
  • the gamma value corresponding to the initial channel estimation value is determined according to the position of the different subcarriers of the OFDM symbol in the received signal, wherein the gamma value may include: +1/-1/+j/-j.
  • the manner of the removal process is the initial channel estimation value divided by the gamma value corresponding to the channel estimation value of the data carrier.
  • the removal process can be specifically:
  • the gamma value corresponding to the data carrier is determined according to the position of the different subcarriers of the OFDM symbol in the received signal, and the channel estimation value of the data carrier is divided by the gamma value to obtain a channel estimation value of the removed data carrier.
  • Step 202 Perform padding processing on the null carrier and the pilot carrier in the received signal according to the channel estimation value of the data carrier, and obtain channel estimation values of the null carrier and the pilot carrier.
  • Step 202 can be implemented by the following steps:
  • the positions of the null carrier and the pilot carrier are determined according to the orthogonal frequency division multiplexing OFDM symbols in the received signal.
  • the manner of padding processing can be selected according to the positions of the null carrier and the pilot carrier:
  • the channel estimate of the data carrier closest to the location of the null carrier and the pilot carrier is determined as the channel estimate of the null carrier and the pilot carrier.
  • the channel estimates of the null carrier and the pilot carrier are determined by linear interpolation according to the channel estimation values of the data carriers located at the positions of the null carrier and the pilot carrier. .
  • the method for linear interpolation is not limited, and a null carrier or a pilot carrier may be selected.
  • the data channel information of each data carrier before and after the position is linearly interpolated, and the channel information of the N data data carriers before and after the null carrier or the pilot carrier position may be selected for linear interpolation.
  • the channel information of the null carrier or the pilot position carrier may be determined according to (a+b)/2.
  • a and b respectively represent channel information of one data carrier before and after the null carrier or pilot carrier position.
  • the following steps are performed:
  • the channel information in the null carrier position and the pilot position in the initial channel estimation value is not padded.
  • the modulation mode of the received signal can be determined by detecting the MCS (Modulation and Coding Scheme, hereinafter referred to as: Modulation and Coding Scheme) value in the HT/VHT-SIG domain.
  • the modulation method may include a low-order modulation method or a high-order modulation method.
  • the low-order modulation mode may include the following methods: BPSK (English: Binary Phase Shift Keying, referred to as: Binary Phase Shift Keying) or QPSK (English: Quadrature Phase Shift Keying, referred to as: Quadrature Phase Shift Keying) or 16QAM (English: Quadrature Amplitude Modulation, abbreviation: Quadrature Amplitude Modulation);
  • the high-order modulation mode can include the following modes: 64QAM or 256QAM.
  • the tap coefficient 17 with the best filtering effect in the simulation process is selected as the selection result.
  • step 203 can be implemented by the following steps:
  • the preset first tap coefficient is selected as the tap coefficient of the filter.
  • the first tap coefficient is a tap coefficient of 17.
  • FIG. 3 a schematic diagram of a simulation result is shown in the figure, which is an ideal channel estimation, a conventional LS, in a scenario where the modulation mode is low-order modulation (BPSK/QPSK/16QAM) single-antenna transmission and reception in MCS0 ⁇ 4.
  • FIG. 4 another simulation result diagram is shown in the figure, which is ideal for the scenario of MCS4 (16QAM) MIMO (Multiple-Input Multiple-Output, Multiple Input Multiple Output).
  • MCS4 (16QAM) MIMO
  • Channel estimation, traditional LS channel estimation algorithm, and performance comparison of the channel estimation algorithm in the embodiment of the present invention with a tap coefficient of 17, through the filtering processing of the tap coefficient 17, Can be 1dB better than the LS scheme.
  • the modulation mode is a high-order modulation mode
  • the specific process is: when the detected modulation mode is a high-order modulation mode, comparing the signal-to-noise ratio of the received signal with a preset signal-to-noise ratio, if the signal-to-noise ratio of the received signal is less than or equal to the preset signal-to-noise ratio Then, the tap coefficient 5 with the best filtering effect in the simulation process is selected as the selection result.
  • the preset signal to noise ratio can be 33dB.
  • the modulation mode is high-order modulation mode in step 203
  • the following steps can be implemented:
  • the preset second tap coefficient is selected as the tap coefficient of the filter.
  • FIG. 5 another simulation result diagram is shown in the figure, which is an ideal channel estimation, a conventional LS channel estimation algorithm, a prior art channel estimation algorithm, and a tap coefficient of 5 and 64QAM single antenna transmission and reception scenarios. 17: Performance comparison of the channel estimation algorithm in the embodiment of the present invention. With the tap coefficient 5 filtering process, the performance is improved by about 0.5 dB compared to the LS scheme.
  • FIG. 6 another simulation result diagram is shown in the figure, which is an ideal channel estimation when the signal-to-noise ratio is ⁇ 33 dB in the case of 256QAM modulation, and the conventional LS channel estimation algorithm has a tap coefficient of 5 when the present invention is implemented. Performance comparison of the channel estimation algorithm in the example. The performance is better than the LS scheme by the tap coefficient 5 filtering process.
  • FIG. 7 another simulation result diagram is shown in the figure.
  • the simulation result in the figure shows that different modulation and coding schemes are different for different taps when the signal to noise ratio is lower than the preset signal to noise ratio.
  • the performance comparison of coefficient selection in which the high-order modulation mode is filtered by the tap coefficient 5, the performance ratio is better than that by the tap coefficient 17 filtering; the low-order modulation mode is filtered by the tap coefficient 17 , and the performance ratio is filtered by the tap coefficient 5 Better.
  • step 206 is performed.
  • the time domain characteristic of the filter includes multiple channels affected by the diversity cyclic shift CSD Trail information.
  • the filter design Since the multipath taps of the channel estimates of the data carrier affected by the CSD are distributed at both ends, it is necessary to set parameters for the filter in the filter design so that the time domain characteristics of the filter include diversity cyclic shift CSD influence.
  • the channel multipath information, and the time domain appears to be symmetrical.
  • the time domain representation characteristic of the filter for the 802.11a/n/ac standard is: the duration is 3.2 us; the time-domain performance characteristic of the front-back symmetry is: the passband length is (0.8+0.8) us.
  • the gamma factor addition process in this step is opposite to the process of the gamma factor elimination process in step 201.
  • the method for adding the process is the initial channel estimation value multiplied by the gamma value corresponding to the initial channel estimation value, wherein the gamma value may include: 1/-1/+j/-j.
  • the channel estimation value of the filtered null carrier and the pilot carrier is not useful for restoring the original data in the received signal. Therefore, in this step, only the channel estimation value of the filtered data carrier is selected for the gamma factor addition process and the final result is obtained. The channel estimate of the data carrier.
  • the channel estimation value of the data carrier and the channel estimation value of the null carrier and the pilot carrier are not subjected to frequency domain filtering, and The channel estimate of the data carrier is determined as the channel estimate of the final data carrier.
  • the preset signal to noise ratio can be 33dB.
  • the initial channel estimation value that was not filtered during the simulation test is better than the performance of the filtered initial channel estimation value, the initial channel estimation value is not filtered in this case.
  • the channel estimation value of the data carrier is obtained by performing initial channel estimation and gamma factor elimination processing on the data carrier in the received signal, and performing null carrier and pilot carrier in the received signal according to the channel estimation value of the data carrier. After filling, the channel estimation values of the null carrier and the pilot carrier are obtained, and the tap coefficients of the filter are selected according to the modulation mode of the received signal, and the channel estimation value of the data carrier and the channel estimation values of the null carrier and the pilot carrier are performed in the frequency domain. Filtering, and performing gamma factor addition processing on the channel estimation value of the filtered data carrier to obtain a channel estimation value of the final data carrier. On the basis of the LS algorithm, only the frequency domain filtering can reduce the channel error of the channel estimation value of the data carrier, reduce the complexity and delay of the operation, and improve the efficiency of channel estimation.
  • Embodiments of the present invention provide a device for channel estimation, as shown in FIG. 8.
  • the device includes:
  • the cancellation processing module 802 is configured to obtain a channel estimation value of the data carrier after performing gamma factor elimination processing
  • the padding processing module 803 is configured to perform padding processing on the null carrier and the pilot carrier in the received signal according to the channel estimation value of the data carrier, and obtain channel estimation values of the null carrier and the pilot carrier.
  • a first determining module 804 configured to acquire a modulation mode of the received signal, and determine a tap coefficient of the filter according to the modulation mode;
  • the filtering module 805 is configured to perform frequency domain filtering on the channel estimation value of the data carrier and the channel estimation value of the null carrier and the pilot carrier in the filter according to the determined tap coefficient; the time domain characteristic of the filter includes the diversity cyclic shift CSD Affected channel multipath information;
  • the adding processing module 806 is configured to perform gamma factor adding processing on the channel estimation value of the filtered data carrier to obtain a channel estimation value of the final data carrier.
  • the padding processing module 803 includes:
  • a first determining unit configured to determine a communication standard of the received signal according to the preamble sequence in the received signal
  • a second determining unit configured to determine a location of the null carrier and the pilot carrier according to the orthogonal frequency division multiplexing OFDM symbol in the received signal if the communication standard of the received signal is 802.11ac;
  • a padding processing unit configured to perform padding processing on the null carrier and the pilot carrier in the received signal according to the location of the null carrier and the pilot carrier and the channel estimation value of the data carrier to obtain channel estimation values of the null carrier and the pilot carrier.
  • the filling processing unit includes:
  • a first padding processing subunit configured to determine a channel estimation value of a data carrier closest to a location of the null carrier and the pilot carrier as a null carrier and a pilot carrier if the location of the null carrier and the pilot carrier is located in the guard band Channel estimation value;
  • a second padding processing sub-unit configured to determine, by linear interpolation, according to channel estimation values of data carriers located at positions before and after the null carrier and the pilot carrier, if the positions of the null carrier and the pilot carrier are located in the non-protection band Channel estimates for the carrier and pilot carriers.
  • the first determining module 804 includes:
  • the first selecting unit is configured to select a preset first tap coefficient as the tap coefficient of the filter if the modulation mode is low-order modulation.
  • the first determining module 804 includes:
  • the second selecting unit is configured to select a preset second tap coefficient as the tap coefficient of the filter if the modulation mode is high-order modulation and the signal-to-noise ratio of the received signal is less than or equal to the preset signal-to-noise ratio.
  • the device further comprises:
  • the second determining module 807 is configured to: if the modulation mode is high-order modulation and the signal-to-noise ratio of the received signal is greater than the preset signal-to-noise ratio, do not perform channel estimation on the data carrier and channel estimation values of the null carrier and the pilot carrier.
  • the domain filtering process determines the channel estimate of the data carrier as the channel estimate of the final data carrier.
  • the channel estimation value of the data carrier is obtained by performing initial channel estimation and gamma factor elimination processing on the data carrier in the received signal, and performing null carrier and pilot carrier in the received signal according to the channel estimation value of the data carrier. After filling, the channel estimation values of the null carrier and the pilot carrier are obtained, and the tap coefficients of the filter are selected according to the modulation mode of the received signal, and the channel estimation value of the data carrier and the channel estimation values of the null carrier and the pilot carrier are performed in the frequency domain. Filtering, and performing gamma factor addition processing on the channel estimation value of the filtered data carrier to obtain a channel estimation value of the final data carrier. On the basis of the LS algorithm, only the frequency domain filtering can reduce the channel error of the channel estimation value of the data carrier, reduce the complexity and delay of the operation, and improve the efficiency of channel estimation.
  • the embodiment of the invention provides a transceiver device, see FIG.
  • the transceiver device includes: a processor 901 and a transceiver 902,
  • the processor 901 is configured to perform initial channel estimation and gamma factor elimination processing on the data carrier in the received signal to obtain a channel estimation value of the data carrier; and according to the channel estimation value of the data carrier, the null carrier and the pilot carrier in the received signal After the padding process, the channel estimation values of the null carrier and the pilot carrier are obtained; the modulation mode of the received signal is obtained, and the tap coefficients of the filter are determined according to the modulation mode; and the channel estimation value of the filtered data carrier is added after the gamma factor is added. Obtaining a channel estimate of the final data carrier;
  • the filter 902 is configured to perform frequency domain filtering on the channel estimation value of the data carrier and the channel estimation value of the null carrier and the pilot carrier in the filter according to the determined tap coefficient; the time domain characteristic of the filter includes the diversity cyclic shift CSD Affected channel multipath information.
  • the processor 901 is further configured to determine, according to a preamble sequence in the received signal, a communication standard of the received signal; if the communication standard of the received signal is 802.11ac, determine the null carrier according to the orthogonal frequency division multiplexing OFDM symbol in the received signal. And the location of the pilot carrier; according to the location of the null carrier and the pilot carrier and the channel estimation value of the data carrier, the null carrier and the pilot carrier in the received signal are padded to obtain channel estimation values of the null carrier and the pilot carrier.
  • the processor 901 is further configured to determine, if the location of the null carrier and the pilot carrier is located in the guard band, the channel estimation value of the data carrier closest to the location of the null carrier and the pilot carrier as the channel of the null carrier and the pilot carrier. Estimated value; if the location of the null carrier and the pilot carrier is in the non-protection band, the null carrier and the pilot carrier are determined by linear interpolation according to the channel estimation values of the data carriers located at the positions of the null carrier and the pilot carrier Channel estimate.
  • the processor 901 may also select a preset first tap coefficient as the tap coefficient of the filter if the modulation mode is low-order modulation.
  • the processor 901 is further configured to: if the modulation mode is high-order modulation and the signal-to-noise ratio of the received signal is less than or equal to the preset signal-to-noise ratio, select a preset second tap coefficient as the tap coefficient of the filter.
  • the processor 901 can also perform frequency domain filtering on the channel estimation value of the data carrier and the channel estimation value of the null carrier and the pilot carrier if the modulation mode is high-order modulation and the signal-to-noise ratio of the received signal is greater than the preset signal-to-noise ratio. Processing and determining the channel estimate of the data carrier as the channel estimate of the final data carrier.
  • the channel estimation value of the data carrier is obtained by performing initial channel estimation and gamma factor elimination processing on the data carrier in the received signal, and performing null carrier and pilot carrier in the received signal according to the channel estimation value of the data carrier. After filling, the channel estimation values of the null carrier and the pilot carrier are obtained, and the tap coefficients of the filter are selected according to the modulation mode of the received signal, and the channel estimation value of the data carrier and the channel estimation values of the null carrier and the pilot carrier are performed in the frequency domain. Filtering, and performing gamma factor addition processing on the channel estimation value of the filtered data carrier to obtain a channel estimation value of the final data carrier. On the basis of the LS algorithm, only the frequency domain filtering is used to reduce the channel error of the channel estimation value of the data carrier, which reduces the complexity and delay of the operation, and improves the efficiency of channel estimation.
  • the storage medium may be a read only memory, a magnetic disk or an optical disk or the like.

Abstract

Certains modes de réalisation de la présente invention se rapportent au domaine technique des communications. L'invention concerne un procédé et un appareil d'estimation de canaux. Le procédé comporte les étapes consistant à: obtenir une valeur d'estimation de canal d'une porteuse de données après avoir procédé à une estimation initiale de canal sur la porteuse de données dans un signal reçu et avoir effectué un traitement d'élimination de facteur gamma; obtenir des valeurs d'estimation de canaux d'une porteuse nulle et d'une porteuse pilote après avoir effectué un traitement de remplissage sur la porteuse nulle et la porteuse pilote dans le signal reçu d'après la valeur d'estimation de canal de la porteuse de données; acquérir un mode de modulation du signal reçu, et déterminer un coefficient de dérivation d'un filtre en fonction du mode de modulation; effectuer, dans le filtre, un filtrage en domaine fréquentiel sur la valeur d'estimation de canal de la porteuse de données et les valeurs d'estimation de canaux de la porteuse nulle et de la porteuse pilote en fonction du coefficient de dérivation déterminé; et obtenir une valeur finale d'estimation de canal de la porteuse de données après avoir effectué un traitement d'addition de facteur gamma sur la valeur filtrée d'estimation de canal de la porteuse de données. Dans la présente invention, un filtrage en domaine fréquentiel est effectué sur la base d'un algorithme LS de façon à diminuer une erreur de canal, réduisant ainsi la complexité des opérations ainsi que le retard temporel, et améliorant le rendement d'estimation de canaux.
PCT/CN2014/089333 2014-10-23 2014-10-23 Procédé et appareil d'estimation de canaux WO2016061796A1 (fr)

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