CN102480443B - 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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- CN102480443B CN102480443B CN201010568395.7A CN201010568395A CN102480443B CN 102480443 B CN102480443 B CN 102480443B CN 201010568395 A CN201010568395 A CN 201010568395A CN 102480443 B CN102480443 B CN 102480443B
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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, particularly relate to the carrier frequency bias estimation in a kind of mobile communication system and device.
Background technology
In 3G (Third Generation) Moblie (3GPP) Long Term Evolution (LTE/LTE-A) system, subscriber equipment (UE), after start or entering the normal community worked from signal blind zone, must carry out Cell searching.Cell search process comprises Symbol Timing, sector mark (ID) number detection, Nonlinear Transformation in Frequency Offset Estimation and frequency offset correction, the unit such as cell set ID detection.Wherein Nonlinear Transformation in Frequency Offset Estimation unit realizes after Symbol Timing unit and sector ID detecting unit, the frequency deviation estimated value that Nonlinear Transformation in Frequency Offset Estimation unit exports by UE receiver, be input to frequency offset correction unit, the carrier error of compensation and track receiver, thus realize receiver carrier synchronization.
The different range estimated according to frequency deviation and precision, carrier synchronization process specifically can be divided into capturing carrier and two stages of carrier track.
The capturing carrier stage mainly adopts capture range large, but the frequency excursion algorithm that estimated accuracy is limited, thus the original carrier frequency deviation that fast Acquisition is larger, this original carrier frequency deviation is the carrier deviation existed between base station transmitter and UE receiver.
The capturing carrier stage adopts PSC segmentation related algorithm usually, according to the sector ID number that the definition of LTE/LTE-A system descending frame structure and Cell searching detect, the first synchronizing signal PSC sequence is generated in this locality, and it is relevant with the PSC sequence segment that UE receives by local PSC sequence, calculate initial Nonlinear Transformation in Frequency Offset Estimation value, the Nonlinear Transformation in Frequency Offset Estimation value utilizing this initial carries out frequency offset correction.
After UE receiver completes initial Nonlinear Transformation in Frequency Offset Estimation and frequency offset correction, carrier wave frequency deviation that also can be remaining less, simultaneously along with the change of passage of time and operational environment, the carrier wave of base station transmitter and UE receiver all may produce certain drift and shake, so UE receiver is after the capturing carrier stage, by incoming carrier tracking phase.
The carrier track stage mainly adopts capture range less, but the frequency excursion algorithm that estimated accuracy is higher.UE receiver is estimated and frequency offset correction by fine frequency offset, continues the carrier error following the tracks of slowly change.The algorithm for estimating in existing carrier track stage adopts usually based on OFDM (OFDM) symbol cyclic prefix algorithm for estimating or based on pilot sub-carrier algorithm for estimating.
The estimated accuracy of the frequency excursion algorithm in existing carrier track stage is poor, carrier error remaining after can not following the tracks of capturing carrier quickly and accurately, thus affects convergence rate and the error jitter scope in carrier track stage.
In addition, the frequency excursion algorithm precision in existing capturing carrier stage is also limited, can not be not only quick but also compensate the carrier deviation existed between base station transmitter and UE receiver accurately, after causing the frequency deviation estimation of capturing carrier stage and 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 the carrier frequency bias estimation in a kind of mobile communication system and device, to improve the precision of Nonlinear Transformation in Frequency Offset Estimation and the convergence rate with carrier synchronization process.
Technical scheme of the present invention is specifically achieved in that
A carrier frequency bias estimation in mobile communication system, the method comprises:
Utilize the first synchronizing signal in Received signal strength relevant to the first synchronizing signal of producing of this locality, determine the relevant peak-to-peak phase rotation value that relevant peaks corresponding to the first synchronizing signal in former frame Received signal strength is corresponding to the first synchronizing signal in a rear frame Received signal strength;
Carry out Nonlinear Transformation in Frequency Offset Estimation according to described phase rotation value, obtain smart frequency deviation estimated value.
A Nonlinear Transformation in Frequency Offset Estimation device in mobile communication system, this device comprises correlation module and smart frequency deviation estimating modules;
Described correlation module, for utilizing the first synchronizing signal in Received signal strength relevant to the first synchronizing signal that this locality produces;
Described smart frequency deviation estimating modules, for the relevant peak-to-peak phase rotation value that the relevant peaks that the first synchronizing signal in the correlated results determination former frame Received signal strength that exports according to described correlation module is corresponding is corresponding to the first synchronizing signal in a rear frame Received signal strength, carry out Nonlinear Transformation in Frequency Offset Estimation according to described phase rotation value, obtain smart frequency deviation estimated value.
As seen from the above technical solution, in the carrier track stage, the present invention utilizes the first synchronizing signal in Received signal strength relevant to the first synchronizing signal that this locality produces, determine to carry out Nonlinear Transformation in Frequency Offset Estimation according to this phase rotation value by the relevant peak-to-peak phase rotation value that relevant peaks corresponding to the first synchronizing signal in former frame Received signal strength is corresponding to the first synchronizing signal in a rear frame Received signal strength.What utilize due to the present invention is that the relevant peak-to-peak phase rotation value of two frame first synchronizing signals carries out Nonlinear Transformation in Frequency Offset Estimation, compared with the method for therefore carrying out Nonlinear Transformation in Frequency Offset Estimation with prior art, can improve the precision of Nonlinear Transformation in Frequency Offset Estimation.
Accompanying drawing explanation
Fig. 1 is the first method flow diagram carrying out Nonlinear Transformation in Frequency Offset Estimation in the carrier track stage provided by the invention.
Fig. 2 is the second method flow diagram carrying out Nonlinear Transformation in Frequency Offset Estimation in the carrier track stage provided by the invention.
Fig. 3 is 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 carrying out Nonlinear Transformation in Frequency Offset Estimation provided by the invention.
Embodiment
Fig. 1 is the first method flow diagram carrying out Nonlinear Transformation in Frequency Offset Estimation provided by the invention.
As shown in Figure 1, the method comprises:
Step 101, utilizes the first synchronizing signal in Received signal strength relevant to the first synchronizing signal that this locality produces.
Step 102, determines the relevant peak-to-peak phase rotation value that relevant peaks corresponding to the first synchronizing signal in former frame Received signal strength is corresponding to the first synchronizing signal in a rear frame Received signal strength.
Step 103, carries out Nonlinear Transformation in Frequency Offset Estimation according to described phase rotation value, obtains smart frequency deviation estimated value.
In this step, smart frequency deviation estimated value can be obtained according to the difference between the single correlation peak of former frame first synchronizing signal and the single correlation peak of rear frame first synchronizing signal, also can obtain smart frequency deviation estimated value based on the difference between the relevant peaks platform of former frame first synchronizing signal and the relevant peaks platform of rear frame first synchronizing signal.Wherein, relevant peaks platform is the weighted sum of several correlated results continuous centered by correlation peak.
What utilize due to method shown in Fig. 1 is that the relevant peak-to-peak phase rotation value of two frame signals carries out Nonlinear Transformation in Frequency Offset Estimation, therefore, compared with carrying out Nonlinear Transformation in Frequency Offset Estimation with the phase rotation value of the pilot sub-carrier utilized in prior art in same frame signal, the precision of Nonlinear Transformation in Frequency Offset Estimation can be improved.
Wherein, described former frame signal and a rear frame signal are generally two frame signals received continuously, to ensure, while raising Nonlinear Transformation in Frequency Offset Estimation precision, to make Nonlinear Transformation in Frequency Offset Estimation scope also wider.Also can at least one frame signal in interval between described former frame signal and a rear frame signal, generally, the interval between former frame signal and a rear frame signal is larger, and Nonlinear Transformation in Frequency Offset Estimation precision is higher, and Nonlinear Transformation in Frequency Offset Estimation scope is less simultaneously.
In order to while raising Nonlinear Transformation in Frequency Offset Estimation precision, widen carrier frequency offset estimation range further, the present invention proposes, and can carry out thin frequency deviation and estimate and the estimation of smart frequency deviation, and determine final frequency deviation estimated value in conjunction with thin frequency offset estimation result and smart frequency offset estimation result, specifically can see Fig. 2.
Fig. 2 is the second method flow diagram carrying out Nonlinear Transformation in Frequency Offset Estimation provided by the invention.
As shown in Figure 2, the method comprises:
Step 201, the phase rotating according to the pilot sub-carrier in the same frame signal received carries out Nonlinear Transformation in Frequency Offset Estimation, obtains thin frequency deviation estimated value.
In this step, the algorithm for estimating based on OFDM symbol Cyclic Prefix can also be adopted to carry out thin frequency deviation estimation.
Step 202, utilizes the first synchronizing signal in Received signal strength relevant to the first synchronizing signal that this locality produces.
Step 203, determines the relevant peak-to-peak phase rotation value that relevant peaks corresponding to the first synchronizing signal in former frame Received signal strength is corresponding to the first synchronizing signal in a rear frame Received signal strength.
Step 204, carries out Nonlinear Transformation in Frequency Offset Estimation according to described phase rotation value, obtains smart frequency deviation estimated value.
Step 205, determines final frequency deviation estimated value according to thin frequency deviation estimated value and smart frequency deviation estimated value.
Wherein, in actual applications, if need to determine final frequency deviation estimated value in conjunction with thin frequency deviation estimated value and smart frequency deviation estimated value, then thin frequency deviation estimation and smart frequency deviation estimate it is do not distinguish sequencing, that is: thin frequency deviation estimated value is calculated according to the phase rotating of the pilot sub-carrier in Received signal strength, the relevant peak-to-peak phase rotation value corresponding to the first synchronizing signal in a rear frame Received signal strength according to the relevant peaks that the first synchronizing signal in former frame Received signal strength is corresponding calculates smart frequency deviation estimated value, after calculating thin frequency deviation estimated value and smart frequency deviation estimated value, described thin frequency deviation estimated value and described smart frequency deviation estimated value is utilized to calculate final frequency deviation estimated value, such as, using the weighted sum of thin frequency deviation estimated value and smart frequency deviation estimated value as final frequency deviation estimated value.
The present invention can also according to the requirement of current application scenarios to frequency offset estimation accuracy, frequency offset estimation range and the frequency deviation estimated performance such as frequency deviation estimating speed and complexity, and selection only carries out thin frequency deviation estimation, only carries out smart frequency deviation estimation or carry out thin frequency deviation estimation and smart frequency deviation is estimated then to determine final frequency deviation estimated value according to thin frequency deviation estimated value and smart frequency deviation estimated value.Such as, if current application scene requirement frequency offset estimation range is wider, and need frequency deviation real-time tracking speed faster, then can only carry out thin frequency deviation estimation, if current application scene requirement frequency offset estimation accuracy is higher, then only can carries out smart frequency deviation estimation or estimate to determine final frequency deviation estimated value according to thin frequency deviation estimation and smart frequency deviation.
Above-mentioned frequency deviation estimating method provided by the invention specifically can be applied in the carrier track stage.
In order to improve the convergence rate of carrier synchronization process further, except except the carrier track stage adopts above-mentioned frequency deviation estimating method provided by the invention, can improving the frequency deviation estimating method in capturing carrier stage, specifically refer to Fig. 3.
Fig. 3 is carrier frequency bias estimation flow chart provided by the invention.
As shown in Figure 3, the method comprises:
Step 301, the first synchronizing signal obtained according to cell search process and symbol timing information, carry out segmentation related operation to the first synchronizing signal received and obtain coarse frequency offset value.
In this step, first the signal of reception can be carried out time-domain low-pass filtering be inhibited data subcarrier interference the first synchronizing signal time domain sequences, or first the signal of reception is transformed to frequency domain, the data subcarrier outside the first synchronizing signal is removed based on frequency domain, and the first synchronizing signal frequency domain sequence eliminating data subcarrier is transformed to time domain sequences, then coarse frequency offset value is obtained by carrying out related operation based on the time domain sequences after time-domain low-pass filtering or the time domain sequences after removing data subcarrier based on frequency domain with local the first synchronizing signal produced.
Step 302, judges this coarse frequency offset value whether within the scope of predictive error, if so, performs step 305, if not, performs step 303.
Step 303, utilizes this coarse frequency offset value to be multiplied with feedback factor and obtains compensate of frequency deviation value, utilizes this compensate of frequency deviation value to carry out compensate of frequency deviation to the next frame signal received.
Wherein, the span of feedback factor is generally be greater than 0 and be less than or equal to 1.
Step 304, utilizes the first synchronizing signal in the next frame signal after compensating and the first synchronizing signal that this locality produces to carry out segmentation relevant, calculates coarse frequency offset value, return step 302.
Step 305, incoming carrier tracking phase.
After incoming carrier tracking phase, frequency deviation estimation can be carried out according to the frequency deviation estimating method in carrier track stage provided by the invention, such as adopt the method for Fig. 1 or Fig. 2, or select only carry out thin frequency deviation estimation or only carry out smart frequency deviation estimation or estimate final frequency deviation estimated value according to thin frequency deviation estimated value and smart frequency deviation estimated value to the requirement of frequency deviation estimated performance according to current application scene.
In order to improve Nonlinear Transformation in Frequency Offset Estimation precision further, can also multi-time weighted average coarse frequency offset value or multi-time weighted thin frequency deviation estimated value or multi-time weighted smart frequency deviation estimated value, then utilize the frequency deviation estimated value after weighting to carry out compensate of frequency deviation or calculate final frequency deviation estimated value, to meet different estimation range and the required precision of real system capturing carrier and carrier track.
Present invention also offers a kind of Nonlinear Transformation in Frequency Offset Estimation device, for performing carrier frequency bias estimation provided by the invention, specifically referring to 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.
Correlation module 401, for utilizing the first synchronizing signal in Received signal strength relevant to the first synchronizing signal that this locality produces.
Essence frequency deviation estimating modules 402, for the relevant peak-to-peak phase rotation value that the relevant peaks that the first synchronizing signal in the correlated results determination former frame Received signal strength that exports according to correlation module 401 is corresponding is corresponding to the first synchronizing signal in a rear frame Received signal strength, carry out Nonlinear Transformation in Frequency Offset Estimation according to described phase rotation value, obtain smart frequency deviation estimated value.
This device can also comprise thin frequency deviation estimating modules.
Described thin frequency deviation estimating modules, for carrying out Nonlinear Transformation in Frequency Offset Estimation according to the phase rotating of the pilot sub-carrier in Received signal strength or the Cyclic Prefix of OFDM symbol, obtains thin frequency deviation estimated value.
When carrying out Nonlinear Transformation in Frequency Offset Estimation according to the Cyclic Prefix of OFDM symbol, in order to improve estimated accuracy, all frequency deviation estimation can be carried out to the Cyclic Prefix of OFDM symbol multiple in same frame, then frequency deviation estimated value corresponding for each OFDM symbol is weighted, using weighted results as thin frequency deviation estimated value, thus improve the precision of thin frequency deviation estimation
This device can also comprise Synthesize estimation module.
Described Synthesize estimation module, the thin frequency deviation estimated value obtained for the smart frequency deviation estimated value that obtains according to described smart frequency deviation estimating modules and described thin frequency deviation estimating modules determines final frequency deviation estimated value.
This device can also comprise selection module.
Described selection module, for the application scenarios according to Nonlinear Transformation in Frequency Offset Estimation, selects to carry out frequency deviation estimation by smart frequency deviation estimating modules or thin frequency deviation estimating modules or Synthesize estimation module.
This device can also comprise coarse frequency offset module;
Described coarse frequency offset module, for the first synchronizing signal of obtaining according to cell search process and symbol timing information, segmentation related operation is carried out to the first synchronizing signal received and obtains coarse frequency offset value, when this coarse frequency offset value is within the scope of predictive error, start described smart frequency deviation estimating modules and/or described thin frequency deviation estimating modules, when this coarse frequency offset value is not within the scope of predictive error, utilize this coarse frequency offset value to carry out compensate of frequency deviation, then on the basis of compensation result, proceed coarse frequency offset.
Fig. 5 is the signal flow graph carrying 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, by relevant in PSC frame (namely utilizing the first synchronizing signal in Received signal strength and the first synchronizing signal that this locality produces to carry out segmentation in frame relevant), calculate coarse frequency offset value, by coarse frequency offset and the compensation of the continuous multiple frames shown in Fig. 3, in scope residual frequency deviation value being converged in meet carrier track requirement.In addition, the frequency deviation estimating modules of baseband signal incoming carrier tracking phase, Cyclic Prefix according to pilot sub-carrier phase rotating or OFDM symbol calculates thin frequency deviation estimated value, according to PSC interframe be correlated with (the relevant peak-to-peak phase rotation value that the relevant peaks that namely former frame first synchronizing signal is corresponding is corresponding to rear frame first synchronizing signal) calculate smart frequency deviation estimated value, calculate carrier track stage final frequency deviation estimated value by merging thin frequency deviation estimated value and smart frequency deviation estimated value.
In a word, the present invention is directed to the deficiency of existing carrier frequency bias estimation, propose a kind of new carrier frequency bias estimation.The method is according to the capturing carrier capture range different with carrier track and estimated accuracy requirement, comprehensive each stage performance requirement, balance capture range and the estimated accuracy in capturing carrier stage preferably, and improve convergence rate and the error jitter scope in carrier track stage.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment made, equivalent replacement, improvement etc., all should be included within the scope of protection of the invention.
Claims (6)
1. the carrier frequency bias estimation in mobile communication system, is characterized in that, the method comprises:
Utilize the Primary Synchronisation Code PSC in Received signal strength relevant to the PSC that produces of this locality, determine the relevant peak-to-peak phase rotation value that relevant peaks that PSC in former frame Received signal strength is corresponding is corresponding to the PSC in a rear frame Received signal strength;
Carry out Nonlinear Transformation in Frequency Offset Estimation according to described phase rotation value, obtain smart frequency deviation estimated value;
Carry out Nonlinear Transformation in Frequency Offset Estimation according to the phase rotating of the pilot sub-carrier in Received signal strength or the Cyclic Prefix of orthogonal frequency division multiplex OFDM symbol, obtain thin frequency deviation estimated value;
Final frequency deviation estimated value is determined according to thin frequency deviation estimated value and smart frequency deviation estimated value.
2. method according to claim 1, is characterized in that, described former frame Received signal strength and a described rear frame Received signal strength are two frame signals received continuously.
3. method according to claim 1, it is characterized in that, thin frequency deviation estimated value and smart frequency deviation estimated value is obtained, by being weighted to described thin frequency deviation estimated value and described smart frequency deviation estimated value the frequency deviation estimated value determining the carrier track stage in the carrier track stage.
4. method according to claim 3, is characterized in that, before the carrier track stage, the method also comprises:
The PSC obtained according to cell search process and symbol timing information, segmentation related operation is carried out to the PSC received and obtains coarse frequency offset value, judge this coarse frequency offset value whether within the scope of predictive error, if, incoming carrier tracking phase, if not, utilize this coarse frequency offset value to carry out compensate of frequency deviation, described in then returning, carry out the step of segmentation related operation.
5. the Nonlinear Transformation in Frequency Offset Estimation device in mobile communication system, is characterized in that, this device comprises correlation module, smart frequency deviation estimating modules, thin frequency deviation estimating modules and Synthesize estimation module;
Described correlation module, for utilizing the Primary Synchronisation Code PSC in Received signal strength relevant to the PSC that this locality produces;
Described smart frequency deviation estimating modules, for the relevant peak-to-peak phase rotation value that the relevant peaks that the PSC in the correlated results determination former frame Received signal strength that exports according to described correlation module is corresponding is corresponding to the PSC in a rear frame Received signal strength, carry out Nonlinear Transformation in Frequency Offset Estimation according to described phase rotation value, obtain smart frequency deviation estimated value;
Described thin frequency deviation estimating modules, for carrying out Nonlinear Transformation in Frequency Offset Estimation according to the phase rotating of the pilot sub-carrier in Received signal strength or the Cyclic Prefix of OFDM symbol, obtains thin frequency deviation estimated value;
Described Synthesize estimation module, the thin frequency deviation estimated value obtained for the smart frequency deviation estimated value that obtains according to described smart frequency deviation estimating modules and described thin frequency deviation estimating modules determines final frequency deviation estimated value.
6. device according to claim 5, is characterized in that, this device also comprises coarse frequency offset module;
Described coarse frequency offset module, for the PSC that obtains according to cell search process and symbol timing information, segmentation related operation is carried out to the PSC received and obtains coarse frequency offset value, when this coarse frequency offset value is within the scope of predictive error, start described smart frequency deviation estimating modules and/or described thin frequency deviation estimating modules, when this coarse frequency offset value is not within the scope of predictive error, utilizes this coarse frequency offset value to carry out compensate of frequency deviation, then on the basis of compensation result, proceed coarse frequency offset.
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| CN103873415B (en) * | 2014-03-11 | 2017-07-07 | 华为技术有限公司 | Frequency deviation estimating method, device and receiver |
| CN107306163B (en) | 2016-04-22 | 2019-06-28 | 富士通株式会社 | Processing unit, method and the receiver of pilot tone frequency deviation |
| US11563505B2 (en) | 2016-06-01 | 2023-01-24 | Qualcomm Incorporated | Time division multiplexing of synchronization channels |
| US10887035B2 (en) | 2016-06-01 | 2021-01-05 | Qualcomm Incorporated | Time division multiplexing of synchronization channels |
| US10615897B2 (en) * | 2016-06-01 | 2020-04-07 | Qualcomm Incorporated | Time division multiplexing of synchronization channels |
| US11218236B2 (en) | 2016-06-01 | 2022-01-04 | Qualcomm Incorporated | Time division multiplexing of synchronization channels |
| CN113079495B (en) * | 2021-04-01 | 2023-02-28 | 上海兆煊微电子有限公司 | Low-power-consumption Bluetooth real-time frequency offset estimation compensation method and system |
| CN114726691A (en) * | 2022-03-31 | 2022-07-08 | 中国电子科技集团公司第五十四研究所 | Pilot frequency-based burst communication carrier frequency offset estimation method and frame structure |
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