CN106101042B - A kind of CFO estimation method based on more noises - Google Patents

A kind of CFO estimation method based on more noises Download PDF

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Publication number
CN106101042B
CN106101042B CN201610374122.6A CN201610374122A CN106101042B CN 106101042 B CN106101042 B CN 106101042B CN 201610374122 A CN201610374122 A CN 201610374122A CN 106101042 B CN106101042 B CN 106101042B
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cfo
signal
deflection
noises
noise
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CN106101042A (en
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李锋
李静
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Dongkai Shuke Shandong Industrial Park Co ltd
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Hangzhou Dianzi University
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2647—Arrangements specific to the receiver only
    • H04L27/2655—Synchronisation arrangements
    • H04L27/2657—Carrier synchronisation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2647—Arrangements specific to the receiver only
    • H04L27/2655—Synchronisation arrangements
    • H04L27/2689—Link with other circuits, i.e. special connections between synchronisation arrangements and other circuits for achieving synchronisation
    • H04L27/2695—Link with other circuits, i.e. special connections between synchronisation arrangements and other circuits for achieving synchronisation with channel estimation, e.g. determination of delay spread, derivative or peak tracking

Abstract

A kind of CFO estimation method based on more noises disclosed by the invention, this method include more noise triggerings, capture composite signal；Estimate deflection factor and estimation CFO；The resulting CFO estimation method based on more noises of the present invention generates different reception signals using a variety of noises.It is synthesized using the reversible property of unitary matrice transposition to signal is received, the correlation in conjunction with channel obtains transmitting and receives the frequency deflection of signal, under the premise of certain signal-to-noise ratio, has smaller least mean-square error.

Description

A kind of CFO estimation method based on more noises
Technical field
The present invention relates to a kind of CFO of LTE system (Carrier Frequency Offset, carrier frequency offset) estimations Method, especially a kind of CFO estimation method based on more noises.
Background technique
LTE is the communication system that 3GPP is currently developing, it is by taking OFDM (Orthogonal Frequency Division Multiplexing, orthogonal frequency division multiplexing) multichannel mode, each subcarrier is overlapped, greatly The spectrum efficiency of width lifting system is very suitable for the wireless transmission of high data rate, this is also that LTE can compared to 2/3G technology One of the reason of greatly improving cell throughout.Problem is, competence exertion when OFDM needs each subcarrier to keep its orthogonality Performance, it is very sensitive to synchronous error, and the ISI (Intern present in the multidiameter fading channel of practical radio communication environment Symbol Interference, intersymbol interference) carrier frequency offset CFO and symbol time offset STO (Symbol can be caused Timing Offset), cause the bit error rate to improve, the decline of LTE system performance.In addition, transmitter carrier frequency and receiver are local Existing tiny frequency deviation between oscillator, and the Doppler frequency shift of the receiving-transmitting sides relative motion generation due to communication It will lead to the generation of CFO.For this purpose, the present invention designs a kind of CFO estimation method MNE (Multiple Noises based on more noises Based Evaluation), transmitting signal is interfered using a variety of noises, generates different reception signals, and to reception Signal carries out capture synthesis, and then estimates frequency deviation, is able to solve the problem of traditional blind estimate algorithm acquisition accuracy difference.
Summary of the invention
The purpose of the present invention is to solve the decline problems that CFO deviation in LTE network leads to OFDM performance, to evade The spectrum efficiency for preferably utilizing entire communication system in a multi-path environment, provides higher cell traffic throughput, promotes visitor Family perception, proposes a kind of CFO estimation method based on more noises.
In order to achieve the above object, the CFO estimation method based on more noises designed by the present invention, including the touching of more noises Hair, capture composite signal, estimation deflection factor, estimation CFO and etc.: a variety of interchannel noises are added to transmitting signal, to difference Reception signal synthesized, and then frequency deviation is estimated.
Preferred scheme the following steps are included:
Step 1: more noise triggerings；
Step 1-1: setting constant Ng, it is N=N for lengthg 2Transmitting signal x (n) (n=0..N-1), receive letter Number y (n)=x (n) * δ (ε)+w (n), wherein δ is the signal deflection factor as caused by CFO, it is the function of ε, and ε is to be evaluated CFO, w (n) be interchannel noise；
Step 1-2: setting amount of noise k generates unitary matrice training sequence
Uk={ u1(n), u2(n) ... uk(n) } interchannel noise W, is generated at randomk={ w1(n), w2(n) ... wk(n) } it, utilizes The channel model that step 1-1 is established generates corresponding reception signal respectively
Yk={ y1(n), y2(n) ... yk(n)}；
Step 2: capture composite signal；
Step 2-1: for WkAnd Yk, calculate composite signal Zk=Yk-Wk={ z1(n), z2(n) ... zk(n) }, wherein zi (n)=yi(n)-wi(n), i=0 ... k；
Step 2-2: unitary matrice U is utilizedk, capture the deflection variable for leading to CFOWherein U* indicates the conjugate transposition operation of U matrix,
rfi(n)=ui*(yi(n)-wi(n)), i=0 ... k；
Step 3: estimation deflection factor
Step 3-1: deflection inequality is calculated
Step 3-2: deflection factor is calculated
Step 4: estimation CFO；
CFO is estimated using the deflection factor that step 3-2 is generated, is obtained Wherein, Re () indicates to seek the real part functions of imaginary number, and j indicates imaginary unit.
The resulting CFO estimation method based on more noises of the present invention generates different reception signals using a variety of noises. It is synthesized using the reversible property of unitary matrice transposition to signal is received, to obtain transmitting and receive the frequency deflection of signal.
The resulting CFO evaluation method based on more noises of the present invention, may be implemented same transmitting signal and makes an uproar in different background The estimation to frequency deflection is realized in training under sound using the correlation of channel.
Detailed description of the invention
CFO estimation method process of the Fig. 1 based on more noises；
Fig. 2 is MNE algorithm and traditional estimation method comparison diagram based on CP.
Specific embodiment
The present invention will be further described below by way of embodiments in conjunction with the accompanying drawings, and detailed process can be detailed in Fig. 1.
Embodiment 1:
The CFO estimation method based on more noises of this example description, including triggered including more noises, composite signal is captured, Estimation deflection factor, estimation CFO and etc..
Preferred scheme the following steps are included:
Step 1: more noise triggerings；
Step 1-1: setting constant Ng, it is N=N for lengthg 2Transmitting signal x (n) (n=0..N-1), receive letter Number y (n)=x (n) * δ (ε)+w (n), wherein δ is the signal deflection factor as caused by CFO, it is the function of ε, and ε is to be evaluated CFO, w (n) be interchannel noise；
Step 1-2: setting amount of noise k generates unitary matrice training sequence
Uk={ u1(n), u2(n) ... uk(n) } interchannel noise W, is generated at randomk={ w1(n), w2(n) ... wk(n) } it, utilizes The channel model that step 1-1 is established generates corresponding reception signal respectively
Yk={ y1(n), y2(n) ... yk(n)}；
Step 2: capture composite signal；
Step 2-1: for WkAnd Yk, calculate composite signal Zk=Yk-Wk={ z1(n), z2(n) ... zk(n) }, wherein zi (n)=yi(n)-wi(n), i=0 ... k；
Step 2-2: unitary matrice U is utilizedk, capture the deflection variable for leading to CFOWherein U* indicates the conjugate transposition operation of U matrix,
rfi(n)=ui*(yi(n)-wi(n)), i=0 ... k；
Step 3: estimation deflection factor
Step 3-1: deflection inequality is calculated
Step 3-2: deflection factor is calculated
Step 4: estimation CFO；
CFO is estimated using the deflection factor that step 3-2 is generated, is obtained Wherein, Re () indicates to seek the real part functions of imaginary number, and j indicates imaginary unit.
Below with N=4, NgThis method is specifically described for=2, representative basis data are as shown in table 1.
Step 1: more noise triggerings；
Step 1-1: a variety of channel noise signals are generated using additive white Gaussian noise
w1(n)=awgn (rand (2,2)+i*rand (2,2), 15)=[9.0949,8.5906；3.6409 2.6249],
w2(n)=awgn (rand (2,2)+i*rand (2,2), 15)=[4.4900,8.2094；5.1739 1.7341],
W2={ w1(n), w2(n)}；
Step 1-2: unitary matrice training sequence u is generated1(n)=[- 0.5257, -0.8507；- 0.8507,0.5257],
u2(n)=[- 0.7678,0.6407；- 0.6407, -0.7678], U2={ u1(n), u2(n) } channel model, is utilized It generates respectively and receives signal y1(n)=[7.7186-0.0025i, 7.2142-0.0108i；3.3159+0.0016i 2.3000- 0.0004i],
y2(n)=[4.3630+0.0019i, 8.0824+0.0012i；3.7654-0.0023i 0.3257-0.0107i],
Y2={ y1(n), y2(n)}；
Step 2: capture composite signal；
Step 2-1: composite signal is calculated
Z2=Y2-W2=
{ [- 1.3764-0.0025i, -1.3763-0.0108i；- 0.3249+0.0016i, -0.3249-0.004i]；[- 0.1270+0.0019i, -0.1270+0.0012i；- 1.4085-0.0023i, -1.4085-0.0107i] }；
Step 2-2: capture leads to the deflection variable of CFO
SRf=ΣkRfk=ΣkUk **Zk=[2.0000-0.0000i, 2.0000+0.0119i；2.0000+0.0023i- 1.4085-0.0107i]}；
Step 3: estimation deflection factor
Calculate deflection inequalityDeflection factor
Step 4: estimation CFO；
CFO is estimated using the deflection factor that step 3-2 is generated, is obtained
We estimate MNE algorithm designed by the present invention and traditional estimation method based on CP based on leading Moose Method and based on pilot tone Classen estimation etc. three kinds it is deemed-to-satisfy4 can be carried out comparison, referring to shown in attached drawing 2.It is tied by comparison Fruit can be seen that for Moose and Classen estimation method under noise jamming, performance shake less, and is based on the estimation side CP and MNE Method shake is relatively large, main reason is that MNE considers the reason of more noises.But under the premise of identical Signal to Noise Ratio (SNR), MNE has smaller least mean-square error MSE.
Wherein, the table referred in embodiment is as follows:
Table 1

Claims (1)

1. a kind of CFO estimation method based on more noises, it is characterised in that:
Step 1: more noise triggerings；
Step 1-1: setting constant Ng, it is N=N for lengthg 2Transmitting signal x (n) (n=0..N-1), receive signal y (n)=x (n) * δ (ε)+w (n), wherein δ is the signal deflection factor as caused by carrier frequency offset CFO, it is the function of ε, ε is that carrier frequency offset CFO, w (n) to be evaluated are interchannel noise；
Step 1-2: setting amount of noise k generates unitary matrice training sequence Uk={ u1(n),u2(n),…uk(n) }, random to generate Interchannel noise Wk={ w1(n),w2(n),…wk(n) }, corresponding reception is generated respectively using the channel model that step 1-1 is established Signal Yk={ y1(n),y2(n),…yk(n)}；
Step 2: capture composite signal；
Step 2-1: for WkAnd Yk, calculate composite signal Zk=Yk-Wk={ z1(n),z2(n),…zk(n) },
Wherein zi(n)=yi(n)-wi(n), i=0 ... k；
Step 2-2: unitary matrice U is utilizedk, capture the deflection variable for leading to CFO Wherein U*Indicate the conjugate transposition operation of U matrix, rfi(n)=ui *(yi(n)-wi(n)), i= 0…k；
Step 3: estimation deflection factor
Step 3-1: deflection inequality is calculated
Step 3-2: deflection factor is calculated
Step 4: estimation CFO；
CFO is estimated using the deflection factor that step 3-2 is generated, is obtained Wherein, Re () indicates to seek the real part functions of imaginary number, and j indicates imaginary unit.
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CN114584438B (en) * 2022-01-05 2023-08-15 华信咨询设计研究院有限公司 5G CFO estimation method based on reference carrier frequency offset
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