CN102480443A - Carrier frequency offset estimation method and device for mobile communication system - Google Patents
Carrier frequency offset estimation method and device for mobile communication system Download PDFInfo
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Abstract
The embodiment of the invention discloses a carrier frequency offset estimation method and a carrier frequency offset estimation device for a mobile communication system. The method comprises the following steps of: associating a first synchronous signal in a received signal with a first synchronous signal generated locally, and determining a phase rotation value between a correlative peak corresponding to the first synchronous signal in the received signal of the previous frame and a correlative peak corresponding to the first synchronous signal in the received signal of the latter frame; and performing carrier frequency offset estimation according to the phase rotation value to obtain a precision frequency offset estimated value. By using the method and the device, the precision of the carrier frequency offset estimation is improved.
Description
Technical field
The present invention relates to communication technical field, relate in particular to carrier frequency bias estimation and device in a kind of GSM.
Background technology
In 3G (Third Generation) Moblie (3GPP) Long Term Evolution (LTE/LTE-A) system, subscriber equipment (UE) must carry out Cell searching in start or after signal blind zone gets into the sub-district of operate as normal.Cell search process comprises symbol timing, sector mark (ID) number detection, Nonlinear Transformation in Frequency Offset Estimation and frequency offset correction, unit such as cell set ID detection.Wherein the Nonlinear Transformation in Frequency Offset Estimation unit is realized after symbol timing unit and sector ID detecting unit; The UE receiver is with the frequency offset estimating value of Nonlinear Transformation in Frequency Offset Estimation unit output; Be input to the frequency offset correction unit, the carrier error of compensation and track receiver, thus realize the receiver carrier synchronization.
According to the different range and the precision of frequency offset estimating, the carrier synchronization process specifically can be divided into capturing carrier and two stages of carrier track.
The capturing carrier stage mainly adopts capture range big, but the limited frequency offset estimating algorithm of estimated accuracy, thereby catch bigger original carrier frequency deviation fast, this original carrier frequency deviation is the carrier deviation that exists between base station transmitter and the UE receiver.
The capturing carrier stage is adopted PSC segmentation related algorithm usually; According to the sector ID of LTE/LTE-A system descending frame structure definition and Cell searching detection number; Generate the first synchronizing signal PSC sequence in this locality; And relevant through local PSC sequence with the PSC sequence segmentation that UE receives, calculate initial Nonlinear Transformation in Frequency Offset Estimation value, utilize this initial Nonlinear Transformation in Frequency Offset Estimation value to carry out frequency offset correction.
The UE receiver is accomplished after the initial Nonlinear Transformation in Frequency Offset Estimation and frequency offset correction; Also can remaining less carrier wave frequency deviation; Simultaneously as time passes with the variation of operational environment; The carrier wave of base station transmitter and UE receiver all possibly produce certain drift and shake, so the UE receiver is at capturing carrier after the stage, with the incoming carrier tracking phase.
The carrier track stage mainly adopts capture range less, but the higher frequency offset estimating algorithm of estimated accuracy.The UE receiver is estimated and frequency offset correction through fine frequency offset, continues to follow the tracks of the carrier error that slowly changes.The algorithm for estimating in existing carrier track stage adopts based on OFDM (OFDM) symbol cyclic prefix algorithm for estimating or based on the pilot sub-carrier algorithm for estimating usually.
The estimated accuracy of the frequency offset estimating algorithm in existing carrier track stage is relatively poor, can not follow the tracks of the remaining afterwards carrier error of capturing carrier quickly and accurately, thereby influences the convergence rate and the error jitter range in carrier track stage.
In addition; The frequency offset estimating arithmetic accuracy in existing capturing carrier stage is also limited; Can not be not only quick but also compensate the carrier deviation that exists between base station transmitter and the UE receiver accurately, cause after capturing carrier stage frequency offset estimating and the frequency offset correction, still there is the carrier error of can not ignore in system.
Summary of the invention
In view of this, the invention provides carrier frequency bias estimation and device in a kind of GSM, so as to improve Nonlinear Transformation in Frequency Offset Estimation precision and with the convergence rate of carrier synchronization process.
Technical scheme of the present invention specifically is achieved in that
Carrier frequency bias estimation in a kind of GSM, this method comprises:
Utilize first synchronizing signal that receives in the signal relevant, confirm that the corresponding relevant peaks of first synchronizing signal that former frame receives in the signal receives the corresponding relevant peak-to-peak phase place rotation value of first synchronizing signal in the signal with back one frame with local first synchronizing signal that produces;
Carry out Nonlinear Transformation in Frequency Offset Estimation according to said phase place rotation value, obtain smart frequency offset estimating value.
Nonlinear Transformation in Frequency Offset Estimation device in a kind of GSM, this device comprise correlation module and smart frequency deviation estimating modules;
Said correlation module is used for utilizing first synchronizing signal that receives signal relevant with local first synchronizing signal that produces;
Said smart frequency deviation estimating modules; Be used for confirming that according to the correlated results of said correlation module output the corresponding relevant peaks of first synchronizing signal of former frame reception signal receives the corresponding relevant peak-to-peak phase place rotation value of first synchronizing signal in the signal with back one frame; Carry out Nonlinear Transformation in Frequency Offset Estimation according to said phase place rotation value, obtain smart frequency offset estimating value.
Visible by technique scheme; In the carrier track stage; The present invention utilizes first synchronizing signal that receives in the signal relevant with local first synchronizing signal that produces; Confirm that the corresponding relevant peaks of first synchronizing signal that former frame receives in the signal receives the corresponding relevant peak-to-peak phase place rotation value of first synchronizing signal in the signal with back one frame, carries out Nonlinear Transformation in Frequency Offset Estimation according to this phase place rotation value.Because utilization of the present invention is that the relevant peak-to-peak phase place rotation value of two frames, first synchronizing signal is carried out Nonlinear Transformation in Frequency Offset Estimation, so compare, can improve the precision of Nonlinear Transformation in Frequency Offset Estimation with the method that prior art is carried out Nonlinear Transformation in Frequency Offset Estimation.
Description of drawings
Fig. 1 is first method flow diagram that carries out Nonlinear Transformation in Frequency Offset Estimation in the carrier track stage provided by the invention.
Fig. 2 is second method flow diagram that carries out Nonlinear Transformation in Frequency Offset Estimation in the carrier track stage provided by the invention.
Fig. 3 is a carrier frequency bias estimation flow chart provided by the invention.
Fig. 4 is Nonlinear Transformation in Frequency Offset Estimation device first structure chart provided by the invention.
Fig. 5 is the signal flow graph that carries out Nonlinear Transformation in Frequency Offset Estimation provided by the invention.
Embodiment
Fig. 1 is first method flow diagram that carries out Nonlinear Transformation in Frequency Offset Estimation provided by the invention.
As shown in Figure 1, this method comprises:
In this step; Can obtain smart frequency offset estimating value according to the difference between the single correlation peak of the single correlation peak of former frame first synchronizing signal and back one frame, first synchronizing signal, also can obtain smart frequency offset estimating value based on the difference between the relevant peaks platform of the relevant peaks platform of former frame first synchronizing signal and a back frame first synchronizing signal.Wherein, the relevant peaks platform is to be the weighted sum of continuous several correlated results at center with the correlation peak.
Because method utilization shown in Figure 1 is that the relevant peak-to-peak phase place rotation value of two frame signals is carried out Nonlinear Transformation in Frequency Offset Estimation; Therefore with in the prior art, utilize the phase place rotation value of the pilot sub-carrier in the same frame signal to carry out Nonlinear Transformation in Frequency Offset Estimation to compare, can improve the precision of Nonlinear Transformation in Frequency Offset Estimation.
Wherein, described former frame signal generally is two frame signals that receive continuously with back one frame signal, guaranteeing when improving the Nonlinear Transformation in Frequency Offset Estimation precision, makes also broad of Nonlinear Transformation in Frequency Offset Estimation scope.Also at least one frame signal at interval between said former frame signal and back one frame signal, general, the interval between former frame signal and back one frame signal is big more, and the Nonlinear Transformation in Frequency Offset Estimation precision is high more, and the Nonlinear Transformation in Frequency Offset Estimation scope is more little simultaneously.
For when improving the Nonlinear Transformation in Frequency Offset Estimation precision; Further widen the carrier frequency frequency offset estimation range, the present invention proposes, and can carry out thin frequency offset estimating and smart frequency offset estimating; And combine thin frequency offset estimation result and smart frequency offset estimation result to confirm final frequency offset estimating value, specifically can be referring to Fig. 2.
Fig. 2 is second method flow diagram that carries out Nonlinear Transformation in Frequency Offset Estimation provided by the invention.
As shown in Figure 2, this method comprises:
In this step, can also adopt algorithm for estimating to carry out thin frequency offset estimating based on the OFDM symbol cyclic prefix.
Wherein, In practical application; Combine thin frequency offset estimating value and smart frequency offset estimating value to confirm final frequency offset estimating value if desired; Then thin frequency offset estimating and smart frequency offset estimating are not distinguish sequencing, calculate thin frequency offset estimating value according to the phase place rotation that receives the pilot sub-carrier in the signal that is:, calculate smart frequency offset estimating value according to the corresponding relevant peaks of first synchronizing signal that former frame receives in the signal with the corresponding relevant peak-to-peak phase place rotation value of first synchronizing signal that back one frame receives in the signal; After calculating thin frequency offset estimating value and smart frequency offset estimating value; Utilize said thin frequency offset estimating value and said smart frequency offset estimating value to calculate final frequency offset estimating value, for example, with the weighted sum of thin frequency offset estimating value and smart frequency offset estimating value as final frequency offset estimating value.
The present invention can also be according to the requirement of current application scenarios to frequency offset estimation accuracy, frequency offset estimation range and frequency deviation estimated performances such as frequency offset estimating speed and complexity, selection be only carry out thin frequency offset estimating, only carry out smart frequency offset estimating, still carry out thin frequency offset estimating and smart frequency offset estimating and confirm final frequency offset estimating value according to thin frequency offset estimating value and smart frequency offset estimating value then.For example; If the current application scene requires the frequency offset estimation range broad; And need frequency deviation real-time tracking speed faster; Then can only carry out thin frequency offset estimating,, then can only carry out smart frequency offset estimating or confirm final frequency offset estimating value according to thin frequency offset estimating and smart frequency offset estimating if the current application scene requires frequency offset estimation accuracy higher.
Above-mentioned frequency deviation estimating method provided by the invention specifically can be applied in the carrier track stage.
In order further to improve the convergence rate of carrier synchronization process, except adopting the above-mentioned frequency deviation estimating method provided by the invention, can also the frequency deviation estimating method in capturing carrier stage be improved in the carrier track stage, specifically see also Fig. 3.
Fig. 3 is a carrier frequency bias estimation flow chart provided by the invention.
As shown in Figure 3, this method comprises:
In this step; Can be earlier the signal that receives be carried out the time-domain LPF first synchronizing signal time domain sequences that data subcarrier disturbs that is inhibited; Perhaps earlier frequency domain is arrived in the signal transformation that receives; Remove the data subcarrier outside first synchronizing signal based on frequency domain; And the first synchronizing signal frequency domain sequence that will remove data subcarrier is transformed to time domain sequences, will or remove time domain sequences behind the data subcarrier based on frequency domain and carry out related operation with local first synchronizing signal that produces and obtain thick frequency offset estimating value based on the time domain sequences behind the time-domain LPF then.
Wherein, the span of feedback factor generally is greater than 0 and is less than or equal to 1.
Behind the incoming carrier tracking phase; Can carry out frequency offset estimating according to the frequency deviation estimating method in carrier track provided by the invention stage; For example adopt the method for Fig. 1 or Fig. 2, perhaps the frequency offset estimating performance demands is selected only to carry out thin frequency offset estimating or only carry out smart frequency offset estimating or estimate final frequency offset estimating value according to thin frequency offset estimating value and smart frequency offset estimating value according to the current application scene.
In order further to improve the Nonlinear Transformation in Frequency Offset Estimation precision; All right multi-time weighted average thick frequency offset estimating value or multi-time weighted thin frequency offset estimating value or multi-time weighted smart frequency offset estimating value; Utilize the frequency offset estimating value after the weighting to carry out compensate of frequency deviation or calculate final frequency offset estimating value then, to satisfy the different estimation ranges and the required precision of real system capturing carrier and carrier track.
The present invention also provides a kind of Nonlinear Transformation in Frequency Offset Estimation device, is used to carry out carrier frequency bias estimation provided by the invention, specifically sees also Fig. 4.
Fig. 4 is Nonlinear Transformation in Frequency Offset Estimation device first structure chart provided by the invention.
As shown in Figure 4, this device comprises correlation module 401 and smart frequency deviation estimating modules 402.
Smart frequency deviation estimating modules 402; Be used for confirming that according to the correlated results of correlation module 401 outputs the corresponding relevant peaks of first synchronizing signal of former frame reception signal receives the corresponding relevant peak-to-peak phase place rotation value of first synchronizing signal in the signal with back one frame; Carry out Nonlinear Transformation in Frequency Offset Estimation according to said phase place rotation value, obtain smart frequency offset estimating value.
This device can also comprise thin frequency deviation estimating modules.
Said thin frequency deviation estimating modules is used for carrying out Nonlinear Transformation in Frequency Offset Estimation according to the phase place rotation of the pilot sub-carrier that receives signal or the Cyclic Prefix of OFDM symbol, obtains thin frequency offset estimating value.
When the Cyclic Prefix according to the OFDM symbol carries out Nonlinear Transformation in Frequency Offset Estimation; In order to improve estimated accuracy; Can all carry out frequency offset estimating to the Cyclic Prefix of a plurality of OFDM symbols in the same frame; Then that each OFDM symbol is corresponding frequency offset estimating value is carried out weighting, with weighted results as frequency offset estimating value carefully, thereby improve the precision of thin frequency offset estimating
This device can also comprise comprehensive estimation module.
Said comprehensive estimation module, the thin frequency offset estimating value that smart frequency offset estimating value that is used for obtaining according to said smart frequency deviation estimating modules and said thin frequency deviation estimating modules obtain is confirmed final frequency offset estimating value.
This device can also comprise the selection module.
Said selection module is used for the application scenarios according to Nonlinear Transformation in Frequency Offset Estimation, selects to carry out frequency offset estimating by smart frequency deviation estimating modules or thin frequency deviation estimating modules or comprehensive estimation module.
This device can also comprise thick frequency deviation estimating modules;
Said thick frequency deviation estimating modules; Be used for first synchronizing signal and the symbol timing information obtained according to cell search process; First synchronizing signal that receives is carried out the segmentation related operation obtain thick frequency offset estimating value; When this thick frequency offset estimating value is in the predictive error scope, start said smart frequency deviation estimating modules and/or said thin frequency deviation estimating modules, when this thick frequency offset estimating value is not in the predictive error scope; Utilize this thick frequency offset estimating value to carry out compensate of frequency deviation, on the basis of compensation result, proceed thick frequency offset estimating then.
Fig. 5 is the signal flow graph that carries out Nonlinear Transformation in Frequency Offset Estimation provided by the invention.
As shown in Figure 5; The frequency deviation estimating modules of baseband signal incoming carrier acquisition phase; Through be correlated with in the PSC frame (i.e. it is relevant that first synchronizing signal in the utilization reception signal and local first synchronizing signal that produces are carried out the interior segmentation of frame); Calculate thick frequency offset estimating value,, the residual frequency deviation value is converged in the scope that meets the carrier track requirement through the thick frequency offset estimating and the compensation of continuous multiple frames shown in Figure 3.In addition; The frequency deviation estimating modules of baseband signal incoming carrier tracking phase; Cyclic Prefix according to rotation of pilot sub-carrier phase place or OFDM symbol calculates thin frequency offset estimating value; Calculate smart frequency offset estimating value according to PSC interframe relevant (being corresponding relevant peaks of former frame first synchronizing signal and the corresponding relevant peak-to-peak phase place rotation value of back one frame, first synchronizing signal), calculate final frequency offset estimating value of carrier track stage through merging thin frequency offset estimating value and smart frequency offset estimating value.
In a word, the present invention is directed to the deficiency of existing carrier frequency bias estimation, proposed a kind of new carrier frequency bias estimation.Capture range and estimation accuracy that this method is different with carrier track according to capturing carrier; Comprehensive each stage performance requirement; Preferably balance the capture range and the estimated accuracy in capturing carrier stage, and improve the convergence rate and the error jitter range in carrier track stage.
The above is merely preferred embodiment of the present invention, and is in order to restriction the present invention, not all within spirit of the present invention and principle, any modification of being made, is equal to replacement, improvement etc., all should be included within the scope that the present invention protects.
Claims (10)
1. the carrier frequency bias estimation in the GSM is characterized in that this method comprises:
Utilize first synchronizing signal that receives in the signal relevant, confirm that the corresponding relevant peaks of first synchronizing signal that former frame receives in the signal receives the corresponding relevant peak-to-peak phase place rotation value of first synchronizing signal in the signal with back one frame with local first synchronizing signal that produces;
Carry out Nonlinear Transformation in Frequency Offset Estimation according to said phase place rotation value, obtain smart frequency offset estimating value.
2. method according to claim 1 is characterized in that, this method also comprises:
Carry out Nonlinear Transformation in Frequency Offset Estimation according to the phase place rotation that receives the pilot sub-carrier in the signal or the Cyclic Prefix of OFDM (OFDM) symbol, obtain thin frequency offset estimating value;
Confirm final frequency offset estimating value according to thin frequency offset estimating value and smart frequency offset estimating value.
3. method according to claim 1 is characterized in that, said former frame receives signal and said back one frame receives two frame signals that signal is continuous reception.
4. method according to claim 2; It is characterized in that; Obtain thin frequency offset estimating value and smart frequency offset estimating value in the carrier track stage, through said thin frequency offset estimating value and said smart frequency offset estimating value are carried out the frequency offset estimating value that the carrier track stage is confirmed in weighting.
5. method according to claim 4 is characterized in that, before the stage, this method also comprises at carrier track:
First synchronizing signal and the symbol timing information obtained according to cell search process; First synchronizing signal that receives is carried out the segmentation related operation obtain thick frequency offset estimating value, judge this thick frequency offset estimating value whether in the predictive error scope, if; The incoming carrier tracking phase; If not, utilize this thick frequency offset estimating value to carry out compensate of frequency deviation, return said step of carrying out the segmentation related operation then.
6. the Nonlinear Transformation in Frequency Offset Estimation device in the GSM is characterized in that this device comprises correlation module and smart frequency deviation estimating modules;
Said correlation module is used for utilizing first synchronizing signal that receives signal relevant with local first synchronizing signal that produces;
Said smart frequency deviation estimating modules; Be used for confirming that according to the correlated results of said correlation module output the corresponding relevant peaks of first synchronizing signal of former frame reception signal receives the corresponding relevant peak-to-peak phase place rotation value of first synchronizing signal in the signal with back one frame; Carry out Nonlinear Transformation in Frequency Offset Estimation according to said phase place rotation value, obtain smart frequency offset estimating value.
7. device according to claim 6 is characterized in that this device also comprises thin frequency deviation estimating modules;
Said thin frequency deviation estimating modules is used for carrying out Nonlinear Transformation in Frequency Offset Estimation according to the phase place rotation of the pilot sub-carrier that receives signal or the Cyclic Prefix of OFDM symbol, obtains thin frequency offset estimating value.
8. device according to claim 7 is characterized in that this device also comprises comprehensive estimation module;
Said comprehensive estimation module, the thin frequency offset estimating value that smart frequency offset estimating value that is used for obtaining according to said smart frequency deviation estimating modules and said thin frequency deviation estimating modules obtain is confirmed final frequency offset estimating value.
9. device according to claim 8 is characterized in that this device also comprises the selection module;
Said selection module is used for the application scenarios according to Nonlinear Transformation in Frequency Offset Estimation, selects to carry out frequency offset estimating by smart frequency deviation estimating modules or thin frequency deviation estimating modules or comprehensive estimation module.
10. according to claim 6 or 7 or 8 or 9 described devices, it is characterized in that this device also comprises thick frequency deviation estimating modules;
Said thick frequency deviation estimating modules; Be used for first synchronizing signal and the symbol timing information obtained according to cell search process; First synchronizing signal that receives is carried out the segmentation related operation obtain thick frequency offset estimating value; When this thick frequency offset estimating value is in the predictive error scope, start said smart frequency deviation estimating modules and/or said thin frequency deviation estimating modules, when this thick frequency offset estimating value is not in the predictive error scope; Utilize this thick frequency offset estimating value to carry out compensate of frequency deviation, on the basis of compensation result, proceed thick frequency offset estimating then.
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