GB2497149A - Noise estimation in an OFDMA receiver - Google Patents

Noise estimation in an OFDMA receiver Download PDF

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Publication number
GB2497149A
GB2497149A GB1209022.1A GB201209022A GB2497149A GB 2497149 A GB2497149 A GB 2497149A GB 201209022 A GB201209022 A GB 201209022A GB 2497149 A GB2497149 A GB 2497149A
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transmitted
patterned
pilot symbol
interleaved
signal
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GB2497149B (en
GB201209022D0 (en
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li-ke Huang
Yuan Zhang
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Aeroflex Ltd
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Aeroflex Ltd
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Publication of GB201209022D0 publication Critical patent/GB201209022D0/en
Priority to EP13164369.4A priority patent/EP2667561B1/en
Priority to JP2013099984A priority patent/JP6050177B2/en
Priority to US13/898,207 priority patent/US9019809B2/en
Publication of GB2497149A publication Critical patent/GB2497149A/en
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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
    • H04L27/2649Demodulators
    • H04L27/265Fourier transform demodulators, e.g. fast Fourier transform [FFT] or discrete Fourier transform [DFT] demodulators
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04JMULTIPLEX COMMUNICATION
    • H04J11/00Orthogonal multiplex systems, e.g. using WALSH codes
    • H04J11/0023Interference mitigation or co-ordination
    • H04J11/0063Interference mitigation or co-ordination of multipath interference, e.g. Rake receivers
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/20Arrangements for detecting or preventing errors in the information received using signal quality detector
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/20Arrangements for detecting or preventing errors in the information received using signal quality detector
    • H04L1/206Arrangements for detecting or preventing errors in the information received using signal quality detector for modulated signals
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202Channel estimation
    • H04L25/0204Channel estimation of multiple channels
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202Channel estimation
    • H04L25/0224Channel estimation using sounding signals
    • H04L25/0228Channel estimation using sounding signals with direct estimation from sounding signals
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202Channel estimation
    • H04L25/0224Channel estimation using sounding signals
    • H04L25/0228Channel estimation using sounding signals with direct estimation from sounding signals
    • H04L25/023Channel estimation using sounding signals with direct estimation from sounding signals with extension to other symbols
    • H04L25/0232Channel estimation using sounding signals with direct estimation from sounding signals with extension to other symbols by interpolation between sounding signals
    • 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
    • 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
    • H04L5/0003Two-dimensional division
    • H04L5/0005Time-frequency
    • H04L5/0007Time-frequency the frequencies being orthogonal, e.g. OFDM(A), DMT
    • 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

Abstract

A method for estimating noise power in a received signal that was transmitted using an orthogonal frequency division multiple access (OFDMA) modulation scheme in which patterns of pilot symbols are transmitted during OFDM symbol periods of the transmitted. signal, the method comprising: interleaving a de-patterned pilot symbol that was transmitted in an OFDM symbol period of the transmitted signal with a de-patterned pilot symbol that was transmitted in a previous OFDM symbol period of the transmitted signal to generate an interleaved de-patterned pilot symbol; filtering the de-patterned interleaved pilot symbol to remove a signal component of the interleaved pilot symbol to leave a noise component of the interleaved de-patterned pilot symbol and processing the noise component generated by the filtering to generate an estimate of the noise power in the interleaved de-patterned pilot symbol.

Description

A NOISE POWER ESTIMATION METHOD
Technical Field
The present invention relates to a noise power estimation method.
Background to the Tnvention
In order to support higher data rates in mobile telecommunications networks, the third generation partnership project (3GPP) introduced a new air interface based on orthogonal frequency domain multiple access (OFDMA) techniques as the long term evolution (LTE) of the IJMTS network. LTE supports a peak downlink data rate of 300Mbps and a peak uplink data rate of 75Mbps.
Since 2009 3GPP has worked on the further improvement of LTE to meet the requirements of a more demanding standard known as LTE Advanced (LTE-A). LTE and LTE-A use adaptive modulation and coding to achieve optimum throughput in different channel conditions, by modifying, at the transmitter, the coding rate and modulation order according to the current quality of the propagation channel between the transmifter and a user equipment (UE) such as a mobile telephone receiving the transmitted signal. This adaptive modulation and coding requires accurate estimation of signal to noise power ratio (SNR) by the IJE, which can have a significant effect on system throughput.
It is known to use a moving average filter to filter out noise from a signal received by a UE. Comparing the input and output of the moving average filter provides an estimate of the noise power in the received signal. Estimating the noise power in a received signal using a moving average filter in this way gives good results in additive white Gaussian noise (AWGN) propagation channels. However, in timc varying channels, the accuracy of noise power estimation using this technique is limited.
A number of other noise estimation algorithms are known, but these are impractical for an LTE receiver, as either they cannot meet the performance requirements for multipath fading channels with large propagation delays or mobility, or they are not compliant with the 3GPP standard, or the algorithms are too complex for implementation in a practical receiver.
Summary of Invention
According to a first aspect of the present invention there is provided a method for estimating noise power in a received signal that was transmitted using an orthogonal frequency division multiple access (OFDMA) modulation scheme in which pilot symbols are transmitted during OFDM symbol periods of the transmitted signal, the method comprising: interleaving a dc-patterned pilot symbol that was transmitted in an OFDM symbol period of the transmitted signal with a dc-patterned pilot symbol that was transmitted in a previous OFDM symbol period of the transmitted signal to generate an interleaved dc-patterned pilot symbol; filtering the interleaved de-patterned pilot symbol to remove a signal component of the interleaved de-pattemed pilot symbol to leave a noise component of the interleaved dc-patterned pilot symbol; and processing the noise component generated by the filtering to generate an estimate ofthe noise power in the interleaved dc-patterned pilot symbol.
The method may further comprise performing a phase rotation of the dc-patterned pilot symbols of the received signal in the frequency domain.
The dc-patterned pilot symbol that was transmitted in the previous OFDM symbol period may be stored in a buffer.
The method may further comprise scaling the noise power estimate to compensate for errors introduced during the filtering of the dc-patterned interleaved pilot symbol.
According to a second aspect of the invention there is provided a receiver for receiving a signal that was transmitted using an orthogonal frequency division multiple access (OFDMA) modulation scheme in which pilot symbols are transmitted during OFDM symbol periods of the transmitted signal, the receiver comprising: an interleaver configured to interleave a dc-patterned pilot symbol that was transmitted in an OFDM symbol period of the transmitted signal with a dc-patterned pilot symbol that was transmitted in a previous OFDM symbol period of the transmitted signal to generate an interleaved dc-patterned pilot symbol; a filter configured to filter the interleaved dc-patterned pilot symbol to remove a signal component of the interleaved dc-patterned pilot symbol to leave a noise component of the interleaved dc-patterned pilot symbol; and a processor configured to process the noise component generated by the filtering to generate an estimate of the noise power in the interleaved dc-patterned pilot symbol.
The receiver may further comprise a phase rotator configured to perform a phase rotation of the dc-patterned pilot symbols of the received signal in the frequency domain.
The receiver may further comprise a buffer for storing the dc-patterned pilot symbol that was transmitted in the previous OFDM symbol period.
The receiver may further comprising a scaling unit configured to scale the noise power estimate to compensate for errors introduced during the filtering of the interleaved dc-patterned pilot symbol by the filter.
Brief Description of the Drawings
Embodiments of the invention will now be described, strictly by way of example only, with reference to the accompanying drawings, of which: Figure 1 is a schematic representation of a structure of a frame transmitted using an orthogonal frequency division multiple access (OFDMA) modulation scheme; Figure 2 is a schematic representation of a structure of a subframe of the frame illustrated in Figure 1; Figure 3 is a schematic representation of two resource blocks of the frame illustrated in Figure 1; Figure 4 is a schematic representation illustrating interleaving of pilot symbols in an OFDM symbol in a signal transmitted using an OFDMA modulation scheme; Figure 5 is a representation of a normalised frequency spectrum of dc-patterned pilot symbols across the whole signal bandwidth of a transmitted signal that includes resource blocks as shown in Figure 3; Figure 6 is a is a representation of a normalised frequency spectrum of dc-patterned pilot symbols across the whole signal bandwidth of a transmitted signal that includes resource blocks as shown in Figure 4; and Figure 7 is a schematic representation of an architecture for estimating the noise power in a signal transmitted using an OFDMA modulation scheme.
Description of the Embodiments
Referring first to Figure 1, a frame of a signal transmitted using an orthogonal frequency division multiple access (OFDMA) modulation scheme, for example a frame transmitted under the LIE or LIE-A standards discussed above, is shown generally at 10. The frame 10 has a duration of 10 milliseconds, and is made up of ten subframes 20, each having a duration of one millisecond. Each subframe 20 is in turn divided into two slots 12, each having a duration of 0.5 milliseconds. As can be seen from the schematic illustration of Figure 2, each slot 12 contains 7 OFDM symbols 22, such that each subframe 20 contains 14 OFDM symbols 22.
Each OFDM symbol 22 is divided amongst a plurality of mutually orthogonal subcarriers, the number of available subcarriers being dependent upon the transmission bandwidth of the system transmitting the signal to be transmitted. A resource block 30, which is the smallest possible unit for data allocation in an OFDMA system, consists of 12 subcarriers that are contiguous in frequency for a duration of one slot. This is illustrated schematically in Figure 3, which shows two resource blocks 30, each containing 12 frequency-contiguous subcarriers (shown extending vertically) for one slot of 7 OFDM symbols 22 (shown extending horizontally).
The grid illustrated in Figure 3 is known as a resource grid, with each square of the grid representing one OFDM subcarrier for one symbol period. The squares of the resource grid are referred to as resource elements (RE5).
In an LTE receiver (e.g. a receiver of a mobile telephone) there is typically a channel estimation block or sub-system that is configured to estimate channel state information representing the condition of the propagation channel between the receiver and a transmitter that transmits signals to the receiver. The transmitter transmits a known pilot signal to the receiver, and the channel estimation block decodes the received signal to recover the pilot signal, which will have been affected by the propagation channel through which it travelled from the transmitter to the receiver. By comparing the decoded version of the pilot signal to the original known pilot signal, the channel estimation block can determine the effect of the channel on the pilot signal, and from this can generate an estimate of the channel impulse response of the channel, representing the effect of the channel on a transmitted signal.
The pilot signal is transmitted by modulating pilot or reference symbols of the pilot signal onto selected ones of the plurality of mutually-orthogonal subcarriers, using an inverse fast Fourier transform (IFFT) (which is also used for modulating data symbols onto the plurality of subcarriers) at the transmitter.
As can be seen from Figure 3, pilot symbols RO are embedded in the resource blocks that are transmitted by a transmitter of the system transmitting the signal. The pilot symbols RO are transmitted according to a preset pattern that repeats for each resource block 30. In the example illustrated in Figure 3, the pilot symbols RO are transmitted in the first and fifth symbol periods of the resource blocks 30.
Additionally, consecutive ones of the pilot symbols RO are transmitted at different frequencies, as they are transmitted on different ones of the plurality of OFDM subearriers. In the example illustrated in Figure 3. pilot symbols RO are transmitted on the first and sixth OFDM carriers in the first symbol period, and in the fourth and tenth OFDM carriers in the fifth symbol period.
Assuming that a pilot symbol pkW is transmitted on the kth subcarrier of the ith OFDM symbol, the version yAi) of the pilot symbol received at a receiver (following a fast Fourier transform (FFT) operation to reverse the inverse fast Fourier transformation undergone by the pilot symbol at the transmitter) may be written as Yk (1) = Hk (1) Pk (1) + k (i), (1) where HkW represents the channel state information at the kth subcarrier of the ith OFDM symbol, pk(i) is the pilot symbol and flk(1) represents additive white Gaussian noise (AWGN) with a variance 2 = Elnk (02} (E{ }is the expectation operator).
After the FFT operation, the pilot symbols RO arc dc-patterned. This symbol de-patterning is to extract the received pilot symbols from positions to which the pilot sybols are allocated in the time-frequency grid (or resource grid), as shown in Figure 3, and to divide the received pilot symbols by the locally generated pilot symbols.
The dc-patterned pilot is equivalently an estimate of the channel state information k (fl, representing the channel actually experienced by the pilot symbol pk(i,), which can be expressed as k () = Yt (1) Pk() From this it follows that = Hk(i)pk(0+nk(i) (0+ k The above equation can be rewritten as k@)-Hk@)+ñk(i), (2) where flji)= . Assummg pji) has a unit power, nk()1s still an additive white Gaussian noise with the same power as k (1) has.
The channel estimate Hk (i) for the whole of the transmitted signal can be derived by interpolating the channel estimate HA(i) for the pilot symbols across the whole of the frequency band of the transmitted signal.
The channel estimate Hk(i) at the pilot locations may be regarded as the channel estimate of the channel cxperienced by the dc-pattcrned pilot symbols after removing thc noise. Thus, the noisc power in a receivcd signal can be estimated by subtracting the channel estimate Hk (I) at the pilot locations from the channel estimate Jfr(i) for the pilot symbols. However, it will be appreciated that thc accuracy of the noise estimate is dependent upon the accuracy of the channel estimate using this method.
Additionally, channel estimates may not be available when noise power estimates are required in some situations.
It is possible to perform noise power estimation in a received signal independently of channel estimation, as will be explained below.
It can be assumed that the channel impulse response does not change significantly between pilot symbols, i.e. Hi/i-I) Hi/i), where / is the time between two pilot symbols. This assumption is valid when I is smaller than the coherence time of the channel.
Based on this assumption, the dc-patterned pilot symbols RO of a previous received OFDM symbol can be interleaved with those of a current received OFDM symbol.
This is shown schematically in Figure 4, in which it can be seen that the dc-patterned pilot symbols RO from the first OFDM symbol period have effectively been moved to
S
the fifth symbol period, to interleave them with the dc-patterned pilot symbols RO present in the fifth symbol period.
Interleaving the dc-patterned pilot symbols in this way reduces the number of images of the dc-patterned pilot symbol that are present in the frequency spectrum of the de-patterned pilot symbols for the symbol period in which they appear, effectively increasing the bandwidth of noise in the spectrum of the dc-patterned pilot symbols for that symbol period, making it easier to fiher the noise from the wanted signal, and thus to estimate noise power in the received signal, as will now be explained.
Figure 5 is a representation of a normalised frequency speetmm of the dc-patterned pilot symbols RO in the fifth OFDM symbol period (shown in dashed outline) in the second resource block shown in Figure 3. As can be seen, the frequency spectrum of the pilot symbols includes a main signal band centred around 0 and a plurality of image signal bands (e.g. centred around approximately 0.3 and approximately 0.7 respectively). There is one main signal band and five images because the subearrier spacing between the two adjacent pilots is six (i.e. the second pilot symbol is modulated onto the sixth subcarrier from the first pilot symbol), and the subearriers between the two adjacent pilot symbols are filled with zeros. Between the main signal band and the first image signal band is a noise band. In order to estimate the noise power in the received signal, a band pass filter must be applied to filter out the signal band, leaving only the noise band. However, as will be appreciated by those skilled in the art, the signal band and the noise band are very close together in frequency, meaning that a fiher with a very sharp roll off is required to filter out the signal and leave only the noise. Such filters are complex to implement, and thus costly.
In contrast, Figure 6 is a representation of a normalised frequency spectrum of the de-patterned pilot symbols RO in the fifth OFDM symbol period (shown in dashed outline) in the second resource block shown in Figure 4. As is explained above, the fifth OFDM symbol in the second resource block shown in Figure 4 includes interleaved pilot symbols from a previous OFDM symbol. The effect of this interleaving of the pilot symbols is to reduce the number of signal band images in the frequency spectrum of the pilot symbols RO, which increases the bandwidth of the noise band between the main signal band and its first image signal band. The reason for this is that by interleaving dc-patterned pilots, the subearrier spacing between adjacent pilot symbols is reduced from six to three, meaning that, in accordance with established signal processing theory, the total number of main signal bands and images will be reduced to three.
As will be appreciated by those skilled in the art, designing a filter to filter out the signal band from the increased noise band is significantly less challenging, and the resulting filter will be simpler in comparison to a filter for filtering out the main signal band shown in Figure 5, and therefore less costly.
Figure 7 is a schematic representation of an exemplary architecture for effecting the interleaving of reference signal discussed above in a receiver. It will be appreciated that the schematic representation of Figure 7 presents the architecture as a series of thnctional blocks, but that the functional blocks do not necessarily represent physical components of a "real world" implementation of the architecture, but are instead intended to represent processing operations undergone by a received signal.
The architecture 40 illustrated in Figure 7 includes a synchronisation block 42, which is configured to perform timing synchronisation of a received signal. The time synchronised signal so generated is output by the synchronisation block 42 to an FFT block 44, which is configured to perform an FFT on the time synchronised received signal, to convert the received signal to the frequency domain, reversing the effect of the inverse FFT applied to the pilot symbo's at the transmitter side.
The FFT block 44 outputs a frequency domain signal to a pilot symbol dc-patterning block 46, which is operative to perform pilot symbol dc-patterning. The dc-patterned pilot symbols are output by the dc-patterning block to a phase rotation block 48.
The start point of a FET window used by the FFT block 44 is intended to coincide with the start of the received signal. However, the timing synchronisation performed by the synchronisation block 44 may not be perfectly accurate, and so the start point of the FFT window used by thc FFT block 44 may not coincidc exactly with the start of the received signal. Thus, a time offset may be introduced in the received signal, which corresponds to a phase shift when the received signal is converted into the frequency domain by the FFT block 44.
The phase rotation block 48 is intended to compensate for this introduced time offset'phase shift. The phase rotation block 48 is configured to receive from the pilot dc-patterning block 46 a vector H(i)of dc-patterned pilot symbols, where = HO@)...HA@)f, where K is the number of pilot symbols in the relevant OFDM symbol period.
The phase rotation block 48 is configured to estimate the linear phase caused by modulation delay, using the equation where d is pilot spacing in frequency; / k=O denotes the angle of a complex variable; / is the k-th dc-patterned ptlot at symbol i; and K is the number of pilots in the observation window.
After detecting the linear phase, the phase rotation can be expressed as Hk @) -Hk (i)./, Ic =O,1,...K -l Thus, the phase rotation block 48 applies a phase rotation to the dc-patterned pilot symbols in the received signal to re-centre the main signal band in the nornialised spectrum of the pilot symbols (as illustrated in Figure 6) around 0. As will be appreciated, the time offset introduced by the synchronisation block 42 is not necessarily constant, and thus the dynamic compensation for this provided by the phase rotation block 48 helps to ensure that the subsequent filtering of the received signal is correctly applied, which improves the accuracy of the noise power estimation. 1!
The phase rotation block 48 outputs a phase rotated version of the vector ii(i)to a buffer 50, which is configured to buffer or store the pilot symbols RO of a received OFDM symbol, so that thcy can be interleaved with the pilot symboLs itO of a subsequent received OFDM symboL Outputs of the phase rotation block 48 and the buffer 50 are connected to inputs of a pilot symbol interleaving block 52, which is configured to interleave buffered pilot symbols RO of a previous OFDM symbol, output by the buffer 50, with pilot symbols itO of a current OFDM symbol, as output by the phase rotation block 48.
An output of the pilot symbol interleaving block 52 is input to a band pass filter 54, which is configured to filter out the signal band of the input signal, leaving only the noise band. In some embodiments the band pass filter 54 is configured to up-sample the sial received at its input. For example, the band pass ifiter 54 may be a 3x up-sampling band pass filter, meaning if K is the number of pilot symbols in the relevant OFDM symbol period, the band pass filer 54 will output 3K samples.
The signal output by thc band pass filter 54 is input to a noise power estimation block 56, which is configured to calculate an estimate of the noise power in the received signal based on the noise band output by the band pass filter 54. The noise power estimation block 56 is configured to perform a calculation to estimate the noise power din the received signal: 1 MI 2 = EI" (01, where wm(i) is the output of the band pass filter 54%rsamplcsmO,1,...,MI.
The noise power estimation block 56 outputs the noise power estimate d to a sealing block 58, which applies a scaling factor a to the noise power estimate d. The scaling factor a is dependent on the bandwidth and sampling frequency of the band pass filter 54 by the relationship a = wheref is the sampling frequellcy of the band bass filter 48, -f/mi jhigh is the upper cut-off frequency of the band pass filter 54 and t; is the lower cut-off frequency of the band pass filter 54.

Claims (1)

  1. <claim-text>CLAIMS1. A method for estimating noise power in a received signal that was transmitted using an orthogonal frequency division multiple acccss (OFDMA) modulation schcme in which pilot symbols are transmittcd during OFDM symbol pcriods of the transmitted signal, the method comprising: intcrlcaving a de-patterncd pilot symbol that was transmitted in an OFDM symbol period of thc transmitted signal with a dc-patterned pilot symbol that was transmitted in a previous OFDM symbol period of the transmitted signal to generate an interleaved pilot symbol; filtering the interleaved dc-patterned pilot symbol to remove a signal component of thc interleaved dc-patterned pilot symbol to leave a noise component of thc interleaved dc-patterned pilot symbol; and processing the noise component generated by the filtering to generate an estimate of the noise power in the interleaved dc-patterned pilot symbol.</claim-text> <claim-text>2. A method according to claim I further comprising performing a phase rotation of the dc-pattcrncd pilot symbols of thc rcceived signal in thc frcqucncy domain.</claim-text> <claim-text>3. A method according to claim 1 or claim 2 wherein the dc-pattcrncd pilot symbol that was transmitted in the previous OFDM symbol period is stored in a buffer.</claim-text> <claim-text>4. A mcthod according to any onc of the preceding claims thrther comprising scaling the noise power cstimate to compensate for errors introduccd during the filtering of the dc-patterned interleaved pilot symbol.</claim-text> <claim-text>5. A receiver for rccciving a signal that was transmitted using an orthogonal frequency division multiple access (OFDMA) modulation scheme in which pilot symbols arc transmitted during OFDM symbol periods of thc transmitted signal, the receiver comprising: an intcrleaver configured to interleave a dc-patterned pilot symbol that was transmitted in an OFDM symbol period of the transmitted signal with a dc-patterned pilot symbol that was transmitted in a previous OFDM symbol period of the transmitted signal to generate an interleaved dc-patterned pilot symbol; a filter configured to filter the interleaved dc-patterned pilot symbol to remove a signal component of the interleaved dc-patterned pilot symbol to leave a noise component of the interleaved dc-patterned pilot symbol; and a processor configured to process the noise component generated by the filtering to generate an estimate of the noise power in the interleaved dc-patterned pilot symbol.</claim-text> <claim-text>6. A receiver according to claim 5 further comprising a phase rotator configured to perform a phase rotation of the dc-patterned pilot symbols of the received signal in the frequency domain.</claim-text> <claim-text>7. A receiver according to claim 5 or claim 6 further comprising a buffer for storing the dc-patterned pilot symbol that was transmitted in the previous OFDM symbol period.</claim-text> <claim-text>8. A receiver according to any one of claims 5 to 7 further comprising a scaling unit configured to scale the noise power estimate to compensate for errors introduced during the filtering of the interleaved dc-patterned pilot symbol by the filter.</claim-text>
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GB1209022.1A GB2497149B (en) 2012-05-22 2012-05-22 A noise power estimation method
EP13164369.4A EP2667561B1 (en) 2012-05-22 2013-04-18 A noise power estimation method
JP2013099984A JP6050177B2 (en) 2012-05-22 2013-05-10 Noise power estimation method
US13/898,207 US9019809B2 (en) 2012-05-22 2013-05-20 Noise power estimation method

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KR101710912B1 (en) * 2014-12-30 2017-03-02 한양대학교 산학협력단 Method for evaluating noise power and Apparatus thereof

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