CN1859019A - Method and device for realizing automatic frequency control - Google Patents

Method and device for realizing automatic frequency control Download PDF

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CN1859019A
CN1859019A CNA2006100585186A CN200610058518A CN1859019A CN 1859019 A CN1859019 A CN 1859019A CN A2006100585186 A CNA2006100585186 A CN A2006100585186A CN 200610058518 A CN200610058518 A CN 200610058518A CN 1859019 A CN1859019 A CN 1859019A
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information
frequency deviation
granularity
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CN100492931C (en
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王峰
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Huawei Technologies Co Ltd
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Abstract

This invention discloses a method for realizing AFC including: carrying out multi-path search by the precursor part and the message part of a channel to get multi-path information to be used to de-spread the control part and the data part to get information of the control part and the data part then to carry out frequency deviation estimation to the de-spread information of the control part to get the deviation information, then carrying out frequency deviation correction to the de-spread information of the control part and the data part by the deviation frequency to realize AFC, a device for realizing automatic frequency control is also disclosed.

Description

A kind of realization automatic frequency control method and device
Technical field
The present invention relates to automatic frequency control (AFC, Automatic Frequency Control) technology, refer to a kind of realization automatic frequency control method and device especially.
Background technology
In wireless communication system, be subjected to the stability of the local crystal oscillator of subscriber equipment (UE), the influence of accuracy, and the Doppler frequency shift phenomenon that causes owing to UE motion, make the frequency difference that has carrier wave between base station and the UE, i.e. frequency deviation.Because the existence of frequency deviation, the coherent detection performance of up-downgoing descends greatly, even UE can not normally insert, and therefore, must control frequency deviation, to eliminate the negative effect of frequency deviation.At present, the method that frequency deviation is control effectively is called AFC, and the principle of AFC is exactly: the frequency deviation to signal is estimated, utilizes the frequency deviation of estimating that signal is carried out frequency deviation correction again, thereby realizes the AFC to signal.
In Wideband Code Division Multiple Access (WCDMA) (WCDMA) system, Physical Random Access Channel (PRACH, Physical Random Access Channel) is an example, and PRACH is important uplink common channel, and the structure of PRACH is: be made of leading part and message part.When the base station detects leading part from UE, notify this UE by AICH Acquisition Indication Channel; When this UE detects AICH Acquisition Indication Channel from the base station, begin to send the message part of 10ms or 20ms, leading part and message part are clear and definite precedence relationship in time.At present, the method that PRACH is carried out AFC has following two kinds:
Method one in leading part is handled, obtains frequency offset estimating by the self adaptation frequency discrimination, utilizes the frequency offset estimation result that obtains to carry out frequency deviation correction, thereby realizes the AFC to signal.
Fig. 1 a is the processing schematic diagram of prior art to leading part in the method one of PRACH realization AFC, as shown in Figure 1a, the estimation of frequency deviation is finished at the leading part of PRACH, carry out frequency discrimination with accumulated phase and realize frequency offset estimating, draw the frequency offset estimating of most powerful path, its basic principle can no longer describe in detail here referring to relevant patent.Fig. 1 b is the processing schematic diagram of prior art to message part in the method one of PRACH realization AFC, shown in Fig. 1 b, when this leading part is detected by the base station, so, this leading part is estimated the frequency deviation of the most powerful path frequency deviation of gained as message part, and the frequency deviation of utilizing this most powerful path is to the message part processing of rectifying a deviation, controlled partial information and data division information, thus realize AFC.
From as can be known to the description of method one, there is following shortcoming in method one: one because frequency offset estimating is to utilize the data of leading part to realize, and is limit by leading part data natural length, the frequency offset estimating accuracy is relatively poor, and regular length is 2 time slots totally 4096 chips; Its two, at leading part, owing to before frequency deviation correction, introduce the process of frequency offset estimating, need the data behind a large amount of filtering interpolation of storage, increased complexity and the hardware store expense of AFC, wasted hardware resource.With the search of carrying out 768 chips (chip) search window width is example, the memory cell that additionally will increase owing to increased this process is: (search window width) * 16, (I road and Q road two-way) * 8 (8 coherent value) * 4,2 (double antenna) * 2 (every chip comprises 4 sampling points) * 768 (16 Signature)=1572864 data unit, if every data cell storage data are 10bit, so, be not difficult to draw, the memory cell that increases will be up to 15Mbit, this be actual realization unacceptable.
Method two in leading part is handled, is realized frequency deviation correction by default frequency deviation value, thereby is realized the AFC to signal.
Fig. 2 is the processing schematic diagram of prior art to leading part in the method two of PRACH realization AFC, as shown in Figure 2, method two and method one are similar, just in method two, omitted the process of leading part being carried out frequency offset estimating, but with the frequency offset estimation result of one group of default frequency deviation replacement method one.Like this, method two need not be stored the data behind the filtering interpolation, and data are handled with the frequency deviation correction that the form of flowing water directly walks abreast; After the frequency deviation correction, correspondingly obtain one group of signal after the correction, the signal after respectively this group being rectified a deviation is concerned with and adds, incoherent adding and the prize judgment processing, forms many barss and handles branch roads, and many branch roads are corresponding one by one with each default frequency deviation; When prize judgment, simultaneously the search window of many branch roads is made multi-path judging, the multipath information of selecting the search window correspondence of signal to noise ratio maximum wherein is as final multi-path judging result, and with the frequency offset estimating of the pairing default frequency deviation value of this branch road as the leading part most powerful path, adopt the frequency deviation of the frequency offset estimating of this most powerful path as message part, and the frequency offset estimating of utilizing this most powerful path is to the message part processing of rectifying a deviation, thereby realize AFC, realize shown in the processing of message part among the AFC and Fig. 1 b in full accord to PRACH in the method two.
From the description to method two, there is following shortcoming in method two: one, owing to need multidiameter delay to handle, the signal process after the correction needs multichannel to support, and certainly will need many cover hardware resources, has increased hardware spending; But also between multichannel, do judgement, cause complexity to rise, thereby strengthened the complexity that realizes; Its two, the selection of default frequency deviation value is difficulty comparatively.If default frequency deviation value is less at interval,, can cause the more correction of needs branch road to be handled in order to support bigger frequency deviation; If default frequency deviation value is excessive at interval, then correction seems too coarse again, does not reach the correction precision, thereby has reduced the precision of frequency deviation control.
From the prior art wireless communication system, realize the method for AFC, channel for the similar PRACH that constitutes by leading part and message part, the method that realizes AFC is by carry out frequency offset estimating in leading part is handled, again with the frequency offset estimating that obtains frequency deviation as message part, to the message part processing of rectifying a deviation, thereby realize AFC.From above-mentioned analysis as seen, the prior art major defect is: the hardware resource expense is big, has wasted hardware resource; Realize complexity, or, reduced the frequency deviation control precision because the correction precision is low.
Summary of the invention
In view of this, main purpose of the present invention is to provide a kind of realization automatic frequency control method, can improve the precision of frequency deviation control, simultaneously the economize on hardware resource.
Another object of the present invention is to provide a kind of device of realizing automatic frequency control, can improve the precision of frequency deviation control, simultaneously the economize on hardware resource.
For achieving the above object, technical scheme of the present invention specifically is achieved in that
A kind of method that realizes automatic frequency control AFC is provided with granule size, and this method may further comprise the steps:
A. leading part and the message part by channel carries out Multipath searching, obtains multipath information;
B. utilize the multipath information that obtains to carry out despreading, controlled partial information and data division information, and, the control section information after the despreading is carried out frequency offset estimating according to the granule size that is provided with, obtain frequency deviation information;
C. control section information, the data division information of the frequency deviation information that utilize to obtain after to despreading is carried out frequency deviation correction.
Before the steps A, this method also comprises: the coherent accumulation length that is provided with in the leading part processing is 1024 chips.
Described leading part provides multipath information for preceding two time slots of message part, and described message part is except that preceding two time slots, and the Multipath searching of all the other time slots is all realized on message part.
This method further comprises: the coherent accumulation length that the Multipath searching in the message part processing is set is 1024 chips.
Described control section information is the control section symbol; The method of frequency offset estimating described in the step B is:
B1. described control section symbol is carried out the cross product frequency discrimination and handle, obtain the skew information of each symbol in each footpath of described control section symbol respectively;
B2. according to the skew information of each symbol in each footpath that obtains, sue for peace according to described granule size, to obtain the summed result of each granularity correspondence;
B3. according to the summed result of described each granularity correspondence, calculate frequency offset estimation result.
This method also comprises: be provided with between the symbol that participates in the cross product computing apart from n;
The method of obtaining the skew information of each symbol in described each footpath among the step B1 is:
According to formula f i , k = c i , k - n × y i , k × y i , k - n * Calculate the skew information of k symbol in the i footpath, wherein, y I, kBe the fading factor of each symbol correspondence of i footpath, c I, kBe the control character of each symbol correspondence of i footpath, * is the conjugate operation symbol.
Method according to the granule size summation described in the step B2 is: respectively described each the skew information in described each each particle size range of footpath is sued for peace, remerge each gained result that directly sues for peace, obtain the summed result of each granularity correspondence.
The computing formula of the summed result of each granularity correspondence of described acquisition is:
Figure A20061005851800092
Wherein,
Figure A20061005851800093
The summed result of representing j granularity correspondence; Each footpath that i represents to participate in merging; L represents the footpath number that participates in merging; K represents k symbol; J represents j granularity; M represents the symbolic number that each granularity comprises.
The method of calculating frequency offset estimation result described in the step B3 is:
B31. according to the summed result of described each granularity correspondence, calculate the average of the phase difference of adjacent-symbol in each particle size range;
B32. according to the average of the phase difference of adjacent-symbol in each particle size range that obtains, calculate the phase difference of first symbol in interior each symbol of each particle size range and the frame.
This method also comprises: be provided with between the symbol that participates in the cross product computing apart from n;
The method of calculating the average of the phase difference of adjacent-symbol in each particle size range described in the step B31 is: calculate the arc tangent of the summed result of described each granularity correspondence, the gained result divided by between the symbol of the participation cross product computing that sets apart from n.
The method of calculating the phase difference of first symbol in interior each symbol of each particle size range and the frame described in the step B32 is:
According to formula
Figure A20061005851800101
Calculate in j the granularity phase difference of first symbol in m symbol and the frame; Wherein, f jThe average of representing the phase difference of adjacent-symbol in j the particle size range; M represents m symbol; N represents each granularity of participating in merging.
The method of carrying out frequency deviation correction described in the step C is:
The I road of the correction factor of m symbol is in j granularity: the value of cosine gained of calculating in described j the granularity phase difference of m symbol and the interior first symbol of frame;
The Q road of the correction factor of m symbol is in j granularity: the value of sinusoidal gained of calculating in described j the granularity phase difference of m symbol and the interior first symbol of frame.
This method also comprises: will not handle described control section and the output of data division information through correction simultaneously behind the frequency deviation correction.
A kind of device of realizing automatic frequency control comprises: multipath separation module, control section despreading module and despreading module of data division, and this device also comprises:
The Multipath searching module is used for simultaneously leading multipath information and message part antenna baseband signal being carried out Multipath searching, and Search Results is exported to described multipath separation module, and to the effectively indication of frequency deviation estimating modules output footpath;
The frequency deviation correction module, reception utilizes the frequency deviation information that receives that control section information and data division information are carried out frequency deviation correction from the frequency deviation information of frequency deviation estimating modules output, from the control section information after the despreading of control section despreading module, from the data division information of a despreading module of data division; Control section information and data division information after the correction are exported to output module;
Frequency deviation estimating modules is used to receive from the control section information after the despreading of control section despreading module with from the footpath of Multipath searching module and effectively indicates; When effectively indication is effective in the footpath, carries out frequency offset estimating, and export the frequency deviation information that estimation obtains to the frequency deviation correction module;
Output module comprises the first output processing unit, is used to receive from control section information after the correction of frequency deviation correction module and data division information, the information that receives is carried out one/secondary channel estimating, multipath merging etc. handle back output.
Described frequency deviation estimating modules comprises:
Cross product frequency discrimination unit receives and effectively indicates from the control section information after the despreading of control section despreading module with from the footpath of Multipath searching module; When effectively indication is effective in the footpath, control section information is carried out the cross product frequency discrimination handle, obtain the skew information of each symbol in each footpath, the skew information of each symbol in each footpath that obtains is exported to the granularity sum unit;
The granularity sum unit, reception is from the skew information of each symbol in each footpath of cross product frequency discrimination unit, according to the granularity that sets in advance, respectively the cross product frequency discrimination result in each particle size range in footpath is sued for peace, the gained result that again each directly sued for peace merges and obtains the granularity summed result, and gained granularity summed result is exported to the frequency deviation output unit;
The frequency deviation output unit, reception is from the granularity summed result of granularity sum unit, calculate the average of the phase difference of adjacent-symbol in each particle size range, again according to the phase difference of first symbol in each symbol and the frame in each particle size range of gained mean value computation, obtain frequency deviation information, the frequency deviation information that calculates is exported to the frequency deviation correction module.
The frequency deviation correction module also comprises described in this device: control section information and the data division information that will not handle through correction are exported to described output module;
Described output module also comprises: the second output processing unit, be used to receive not the control section information and the data division information of correction from the frequency deviation correction module, and the information that receives is carried out one/secondary channel estimating, multipath merging etc. handle back output.
As seen from the above technical solution, the present invention is in handling the message part of channel, according to the granularity that sets in advance, control section information after the despreading is carried out frequency offset estimating, with the acquisition frequency deviation information, and utilize the message part behind this frequency deviation information docking port to carry out frequency deviation correction, to realize AFC.In this programme,, guaranteed the accuracy of frequency offset estimating to the form of frequency offset estimating by default granularity summation as employing integration, improved the correction precision, thereby improved the control precision of AFC, in addition, the granule size of frequency offset estimating is optional, has realized the required time delay of flexible control frequency offset estimating; Simultaneously, the present invention realizes simply need not extra hardware spending and memory cell, has saved hardware resource, realizes it being very useful for the chip of algorithm.Test shows under the mal-condition up to the 1600Hz frequency deviation, still can guarantee user's access, has guaranteed the performance of AFC of the present invention.
Further, behind frequency deviation correction, will not pass through the channel massage that correction is handled simultaneously, and, like this, avoided handling owing in message part is handled, increasing AFC through channel massage and line output that correction is handled, cause the reduction of signal to noise ratio, and the performance loss when little frequency deviation that causes.
Description of drawings
Fig. 1 a is the control schematic diagram of prior art to leading part in the method one of PRACH realization AFC;
Fig. 1 b is the control schematic diagram of prior art to message part in the method one of PRACH realization AFC;
Fig. 2 is the control schematic diagram of prior art to leading part in the method two of PRACH realization AFC;
Fig. 3 a is the present invention realizes leading part among the AFC to PRACH a control schematic diagram;
Fig. 3 b is the present invention realizes message part among the AFC to PRACH a control schematic diagram;
Fig. 4 is the flow chart that the present invention realizes AFC;
Fig. 5 is the schematic diagram of frequency offset estimating among the AFC of the present invention;
Fig. 6 is that granularity length is the frequency offset estimating schematic diagram of two time slots;
Fig. 7 is the device schematic diagram that the present invention realizes AFC.
Embodiment
Core concept of the present invention is: leading part and message part by channel carry out Multipath searching, to obtain multipath information, utilize the multipath information that obtains to carry out a control section despreading and a despreading of data division respectively, controlled partial information and data division information, and according to the granularity that sets in advance, control section information after the despreading is carried out frequency offset estimating, to obtain frequency deviation information; Control section information, data division information after utilizing this frequency deviation information to despreading are carried out frequency deviation correction, to realize AFC.
For making purpose of the present invention, technical scheme and advantage clearer, below with reference to the accompanying drawing preferred embodiment that develops simultaneously, the present invention is described in more detail.
With PRACH in the WCDMA system is example, and Fig. 3 a is the processing schematic diagram of the present invention to leading part among the PRACH realization AFC, and shown in Fig. 3 a, the present invention does not do correction to the leading part of PRACH and handles.To be the present invention realize the processing schematic diagram of message part among the AFC shown in Fig. 3 b, in message part is handled, control section information being carried out frequency offset estimating to PRACH Fig. 3 b, thereby to message part processings of rectifying a deviation, with realization AFC.
Fig. 4 is the flow chart that the present invention realizes AFC, describes method of the present invention in conjunction with Fig. 3 a and Fig. 3 b, sets in advance granule size, and this method mainly may further comprise the steps:
Step 400: leading part and message part by channel carry out Multipath searching, to obtain multipath information.
The inventive method is applicable in the wireless communication system, and the channel of the channel architecture of PRACH carries out AFC in the similar WCDMA system; Be equally applicable to the WCDMA dedicated channel is carried out AFC.
Multipath searching is the prior art during the data division of channel massage is handled, difference with the prior art of the present invention is: prior art is to carry out Multipath searching by message part antenna baseband portion, the Multipath searching of mentioning among the present invention comprises the multipath separating part, to obtain multipath information, and leading part and the message part of the present invention by channel carries out Multipath searching, to obtain multipath information.The purpose that the present invention handles like this is to carry out Multipath searching and increase extra processing delay at message part in order further to avoid.
In leading part is handled, do not do frequency offset estimating and correction processing, but in order to guarantee the acquisition performance when the high frequency deviation, coherent accumulation length in the leading part processing is limited, such as being restricted to 1024 chips etc., guaranteed the acquisition performance when high frequency deviation, simultaneously, leading part only provides multipath information for preceding two time slots of message part, rather than of the prior artly provides multipath information for whole frame data.Message part is except that preceding two time slots, the Multipath searching of all the other time slots is all finished on message part, for fear of when the high frequency deviation, and the decreased performance of Multipath searching, the further coherent accumulation length of the Multipath searching in the restriction of message section processes is such as being restricted to 1024 chips etc.
Step 401: utilize the multipath information that obtains to carry out a control section despreading and a despreading of data division respectively, controlled partial information and data division information, and, the control section information after the despreading is carried out frequency offset estimating according to the granularity that sets in advance.
In this step, the realization of despreading belongs to techniques well known, can repeat no more here referring to relevant regulations.Describe in detail according to the granularity that sets in advance below, the control section information after the despreading carried out the realization of frequency offset estimating:
Fig. 5 is the schematic diagram of frequency offset estimating among the AFC of the present invention, and as shown in Figure 5, frequency offset estimating of the present invention mainly comprises cross product frequency discrimination, granularity summation and calculates frequency deviation three section processes.
Wherein, the cross product frequency discrimination is that control section information such as control section symbol are carried out the processing of cross product frequency discrimination, with the skew information of each symbol in each footpath that obtains described control section symbol.The cross product frequency discrimination be input as control section symbol after the message part despreading, be example with k the fading factor that goes to obtain behind the symbol in i footpath, calculate the skew information f of k symbol in the i footpath I, k, as shown in Equation (1):
f i , k = c i , k - n × y i , k × y i , k - n * · · · ( 1 )
In the formula (1), y I, kBeing the fading factor of each symbol correspondence of i footpath, is the result after the control section symbol removes symbol; c I, kBe the control character of each symbol correspondence of i footpath, be used to represent whether cross product is effective, c I, kValue be 0 or 1, c I, k=0 expression is invalid, c I, kInvalid situation comprises changes that later first time slot data in footpath are discontinuous, transformat combination indication (TFCI, Transport FormatCombination Indicator) symbol has participated in the cross product computing, the footpath is indicated invalid and footpath losing lock etc.; K is k symbol in each footpath; * be the conjugate operation symbol; N represents to participate in the distance between the adjacent-symbol of cross product computing, and the size of n can set in advance.The cross product frequency discrimination is handled and is belonged to techniques well known, and concrete calculating can repeat no more here referring to relevant regulations.
The granularity summation is according to the granularity that sets in advance, and respectively the cross product frequency discrimination result in each each particle size range of footpath is sued for peace, and then the summed result in each footpath is carried out the secondary merging, obtains the summed result of each granularity correspondence Computational process is as shown in Equation (2):
Figure A20061005851800152
In the formula (2), each footpath that i represents to participate in merging, L represents the footpath number that participates in merging, and k represents k symbol, and j represents j granularity, and M represents that the size of each granularity is the symbolic number that each granularity comprises.
With the WCDMA system is example, if frame length is i.e. 30 time slots of 20ms, suppose that default each granularity comprises that two time slots and each time slot comprise 10 symbols, this frame is divided into 15 granularities so, the j span is 0 to 14, the size of each granularity is that the symbolic number that each granularity comprises is 20, and according to formula (2), this moment, the summed result of each granularity correspondence was:
Figure A20061005851800153
Calculate frequency deviation and comprise two parts: the one, calculates the average of the phase difference of adjacent-symbol in each particle size range, the 2nd, calculates the phase difference of interior each symbol of each particle size range and the interior first symbol of frame.
Wherein, the average f of the phase difference of adjacent-symbol in each particle size range jCalculating referring to shown in the formula (3):
Figure A20061005851800154
For the frequency offset estimating accuracy, in each particle size range in each symbol and the frame phase difference of first symbol can obtain in each particle size range the phase difference of first symbol in each symbol and frame with the form of integration, calculate in j the granularity phase difference  of m symbol and the interior first symbol of frame J * M+m, as shown in Equation (4):
Figure A20061005851800161
In the formula (4), j represents j granularity, and M represents the symbolic number that each granularity comprises, m represents m symbol in j the granularity, and N represents each granularity of participating in merging.
Formula (4) has provided the output result of this step frequency offset estimating, and the output result of frequency offset estimating is the phase difference of first symbol in each symbol and the frame.
Fig. 6 is that granularity length is the frequency offset estimating schematic diagram of two time slots, as shown in Figure 6, frame with 20ms in the WCDMA system is an example, if granularity length is two time slots, then a frame message partial data can be divided into 15 groups of (individual) granularities, every group of granularity comprises two time slot data, so, if will rectify a deviation, utilize formula (4) to the A group, in this step, estimate to obtain frequency deviation with the 0th group of control section frequency pilot sign earlier; If the B group is rectified a deviation, utilize formula (4), in this step, amount to four time slot control part with the 0th, 1 group earlier and divide frequency pilot sign to estimate to obtain frequency deviation; If the C group is rectified a deviation, utilize formula (4), in this step, amount to six time slot control part with the 0th, 1,2 group earlier and divide frequency pilot sign to estimate to obtain frequency deviation; The rest may be inferred, can obtain C, D, E, F successively ... the frequency deviation of P group.
Step 402: control section information, the data division information of the frequency deviation information that utilize to obtain after to despreading is carried out frequency deviation correction, to realize AFC.
Utilize frequency offset estimating to obtain frequency deviation information to the processing of rectifying a deviation of control section and data division, its principle is identical with correction scheme of the prior art, all be that symbol conjugation to be rectified a deviation is multiplied by a correction factor that has the frequency deviation information of estimation, the I road of the correction factor of j interior m the symbol of granularity obtains by formula (5a):
cos( J×M+m) (5a)
The Q road of the correction factor of j interior m the symbol of granularity obtains by formula (5b):
sin( J×M+m) (5b)
Handle performance loss when the little frequency deviation for fear of introducing AFC, the access channel message that will not handle through correction simultaneously behind the frequency deviation correction comprises that control section and letter data partly export.
Fig. 7 is the device schematic diagram that the present invention realizes AFC, apparatus of the present invention are to handle at existing message part to form in the module, increases frequency deviation estimating modules and frequency deviation correction module and realizes specifically comprising AFC:
Be used to realize the multipath separation module of multipath separation;
Be used to realize the Multipath searching module of Multipath searching, simultaneously leading multipath information and message part antenna baseband signal searched for, and Search Results is exported to described multipath separation module, and to the effectively indication of frequency deviation estimating modules output footpath;
Be used for the message control section is carried out the control section despreading module of despreading and output control part information;
Be used for the message data division is advanced despreading module of data division of a despreading and dateout partial information;
Output module comprises the first output processing unit, is used to receive from control section information after the correction of frequency deviation correction module and data division information, the information that receives is carried out one/secondary channel estimating, multipath merging etc. handle back output.
The frequency deviation correction module, reception is from the frequency deviation information of frequency deviation estimating modules output, from the control section information after the despreading of control section despreading module, from the data division information of a despreading module of data division, utilize the frequency deviation information that receives that control section information and data division information are carried out frequency deviation correction; Control section information and data division information after the correction are exported to output module;
Frequency deviation estimating modules is used to receive from the control section information after the despreading of control section despreading module with from the footpath of Multipath searching module and effectively indicates; When effectively indication is effective in the footpath, carries out frequency offset estimating, and export the frequency deviation information that estimation obtains to the frequency deviation correction module.Frequency deviation estimating modules is made up of cross product authenticating unit, granularity sum unit and frequency deviation output unit, wherein,
Cross product frequency discrimination unit receives and effectively indicates from the control section information after the despreading of control section despreading module with from the footpath of Multipath searching module; When effectively indication is effective in the footpath, control section information is carried out the cross product frequency discrimination handle,, the skew information of each symbol in each footpath that obtains is exported to the granularity sum unit to obtain the skew information of each symbol in each footpath;
The granularity sum unit, reception is from the skew information of each symbol in each footpath of cross product frequency discrimination unit, according to the granularity that sets in advance, respectively the cross product frequency discrimination result in each particle size range in footpath is sued for peace, the gained result that again each directly sued for peace merges and obtains the granularity summed result, and gained granularity summed result is exported to the frequency deviation output unit;
The frequency deviation output unit, reception is from the granularity summed result of granularity sum unit, calculate the average of the phase difference of adjacent-symbol in each particle size range, again according to the phase difference of first symbol in each symbol and the frame in each particle size range of gained mean value computation, to obtain frequency deviation information, the frequency deviation information that calculates is exported to the frequency deviation correction module.
Further, handle performance loss when the little frequency deviation for fear of introducing AFC, control section information and data division information that the frequency deviation correction module will be handled through correction will not simultaneously be exported to output module; Described output module also comprises: the second output processing unit, be used to receive not the control section information and the data division information of correction from the frequency deviation correction module, and the information that receives is carried out one/secondary channel estimating, multipath merging etc. handle back output.
The above is preferred embodiment of the present invention only, is not to be used to limit protection scope of the present invention, all any modifications of being made within the spirit and principles in the present invention, is equal to replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (16)

1. method that realizes automatic frequency control AFC is characterized in that granule size is set, and this method may further comprise the steps:
A. leading part and the message part by channel carries out Multipath searching, obtains multipath information;
B. utilize the multipath information that obtains to carry out despreading, controlled partial information and data division information, and, the control section information after the despreading is carried out frequency offset estimating according to the granule size that is provided with, obtain frequency deviation information;
C. control section information, the data division information of the frequency deviation information that utilize to obtain after to despreading is carried out frequency deviation correction.
2. method according to claim 1 is characterized in that, before the steps A, this method also comprises: the coherent accumulation length that is provided with in the leading part processing is 1024 chips.
3. method according to claim 2 is characterized in that, described leading part provides multipath information for preceding two time slots of message part, and described message part is except that preceding two time slots, and the Multipath searching of all the other time slots is all realized on message part.
4. according to claim 2 or 3 described methods, it is characterized in that this method further comprises: the coherent accumulation length that the Multipath searching in the message part processing is set is 1024 chips.
5. method according to claim 1 is characterized in that, described control section information is the control section symbol; The method of frequency offset estimating described in the step B is:
B1. described control section symbol is carried out the cross product frequency discrimination and handle, obtain the skew information of each symbol in each footpath of described control section symbol respectively;
B2. according to the skew information of each symbol in each footpath that obtains, sue for peace according to described granule size, to obtain the summed result of each granularity correspondence;
B3. according to the summed result of described each granularity correspondence, calculate frequency offset estimation result.
6. method according to claim 5 is characterized in that, this method also comprises: be provided with between the symbol that participates in the cross product computing apart from n;
The method of obtaining the skew information of each symbol in described each footpath among the step B1 is:
According to formula f i , k = c i , k - n × y i , k × y i , k - n * Calculate the skew information of k symbol in the i footpath, wherein, y I, kBe the fading factor of each symbol correspondence of i footpath, c I, kBe the control character of each symbol correspondence of i footpath, * is the conjugate operation symbol.
7. according to claim 5 or 6 described methods, it is characterized in that, method according to the granule size summation described in the step B2 is: respectively described each the skew information in described each each particle size range of footpath is sued for peace, remerge each gained result that directly sues for peace, obtain the summed result of each granularity correspondence.
8. method according to claim 7 is characterized in that, the computing formula of the summed result of each granularity correspondence of described acquisition is:
Figure A2006100585180003C1
Wherein,
Figure A2006100585180003C2
The summed result of representing j granularity correspondence; Each footpath that i represents to participate in merging; L represents the footpath number that participates in merging; K represents k symbol; J represents j granularity; M represents the symbolic number that each granularity comprises.
9. method according to claim 5 is characterized in that, the method for calculating frequency offset estimation result described in the step B3 is:
B31. according to the summed result of described each granularity correspondence, calculate the average of the phase difference of adjacent-symbol in each particle size range;
B32. according to the average of the phase difference of adjacent-symbol in each particle size range that obtains, calculate the phase difference of first symbol in interior each symbol of each particle size range and the frame.
10. method according to claim 9 is characterized in that, this method also comprises: be provided with between the symbol that participates in the cross product computing apart from n;
The method of calculating the average of the phase difference of adjacent-symbol in each particle size range described in the step B31 is: calculate the arc tangent of the summed result of described each granularity correspondence, the gained result is divided by the range gate between the symbol of the participation cross product computing that sets.
11., it is characterized in that the method for calculating the phase difference of first symbol in interior each symbol of each particle size range and the frame described in the step B32 is according to claim 9 or 10 described methods:
According to formula
Figure A2006100585180003C3
Calculate in j the granularity phase difference of first symbol in m symbol and the frame; Wherein, f jThe average of representing the phase difference of adjacent-symbol in j the particle size range; M represents m symbol; N represents each granularity of participating in merging.
12. method according to claim 1 is characterized in that, the method for carrying out frequency deviation correction described in the step C is:
The I road of the correction factor of m symbol is in j granularity: the value of cosine gained of calculating in described j the granularity phase difference of m symbol and the interior first symbol of frame;
The Q road of the correction factor of m symbol is in j granularity: the value of sinusoidal gained of calculating in described j the granularity phase difference of m symbol and the interior first symbol of frame.
13. method according to claim 1 is characterized in that, this method also comprises: will not handle described control section and the output of data division information through correction simultaneously behind the frequency deviation correction.
14. a device of realizing automatic frequency control, comprising: multipath separation module, control section despreading module and despreading module of data division is characterized in that this device also comprises:
The Multipath searching module is used for simultaneously leading multipath information and message part antenna baseband signal being carried out Multipath searching, and Search Results is exported to described multipath separation module, and to the effectively indication of frequency deviation estimating modules output footpath;
The frequency deviation correction module, reception utilizes the frequency deviation information that receives that control section information and data division information are carried out frequency deviation correction from the frequency deviation information of frequency deviation estimating modules output, from the control section information after the despreading of control section despreading module, from the data division information of a despreading module of data division; Control section information and data division information after the correction are exported to output module;
Frequency deviation estimating modules is used to receive from the control section information after the despreading of control section despreading module with from the footpath of Multipath searching module and effectively indicates; When effectively indication is effective in the footpath, carries out frequency offset estimating, and export the frequency deviation information that estimation obtains to the frequency deviation correction module;
Output module comprises the first output processing unit, is used to receive from control section information after the correction of frequency deviation correction module and data division information, the information that receives is carried out one/secondary channel estimating, multipath merging etc. handle back output.
15. device according to claim 14 is characterized in that, described frequency deviation estimating modules comprises:
Cross product frequency discrimination unit receives and effectively indicates from the control section information after the despreading of control section despreading module with from the footpath of Multipath searching module; When effectively indication is effective in the footpath, control section information is carried out the cross product frequency discrimination handle, obtain the skew information of each symbol in each footpath, the skew information of each symbol in each footpath that obtains is exported to the granularity sum unit;
The granularity sum unit, reception is from the skew information of each symbol in each footpath of cross product frequency discrimination unit, according to the granularity that sets in advance, respectively the cross product frequency discrimination result in each particle size range in footpath is sued for peace, the gained result that again each directly sued for peace merges and obtains the granularity summed result, and gained granularity summed result is exported to the frequency deviation output unit;
The frequency deviation output unit, reception is from the granularity summed result of granularity sum unit, calculate the average of the phase difference of adjacent-symbol in each particle size range, again according to the phase difference of first symbol in each symbol and the frame in each particle size range of gained mean value computation, obtain frequency deviation information, the frequency deviation information that calculates is exported to the frequency deviation correction module.
16. according to claim 14 or 15 described devices, it is characterized in that the frequency deviation correction module also comprises described in this device: control section information and the data division information that will not handle through correction are exported to described output module;
Described output module also comprises: the second output processing unit, be used to receive not the control section information and the data division information of correction from the frequency deviation correction module, and the information that receives is carried out one/secondary channel estimating, multipath merging etc. handle back output.
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WO2009076901A1 (en) * 2007-12-10 2009-06-25 Huawei Technologies Co., Ltd. Signal processing method and device base on automatic frequency control
CN101043231B (en) * 2007-04-18 2010-11-10 华为技术有限公司 Method, equipment and system for realizing deviation correction to access channel leading signal
CN103139114A (en) * 2011-11-22 2013-06-05 华为技术有限公司 Method and device of automatic frequency control
CN104184524A (en) * 2013-05-21 2014-12-03 电信科学技术研究院 Frequency calibration method and device
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CN101043231B (en) * 2007-04-18 2010-11-10 华为技术有限公司 Method, equipment and system for realizing deviation correction to access channel leading signal
WO2009076901A1 (en) * 2007-12-10 2009-06-25 Huawei Technologies Co., Ltd. Signal processing method and device base on automatic frequency control
CN101207437B (en) * 2007-12-10 2011-05-04 华为技术有限公司 Method and apparatus for signal processing based on automatic frequency control
CN103139114A (en) * 2011-11-22 2013-06-05 华为技术有限公司 Method and device of automatic frequency control
CN103139114B (en) * 2011-11-22 2016-12-07 华为技术有限公司 The method and apparatus that a kind of automatic frequency controls
CN104184524A (en) * 2013-05-21 2014-12-03 电信科学技术研究院 Frequency calibration method and device
CN104184524B (en) * 2013-05-21 2016-09-14 电信科学技术研究院 A kind of transmitting frequency calibration method and device
CN104242928A (en) * 2014-08-20 2014-12-24 北京遥测技术研究所 Frequency locking detector processing method based on cross product algorithm in frequency locking loop
CN104242928B (en) * 2014-08-20 2017-04-19 北京遥测技术研究所 Frequency locking detector processing method based on cross product algorithm in frequency locking loop
CN114184837A (en) * 2021-12-09 2022-03-15 电子科技大学 Instantaneous frequency measurement method based on Cordic algorithm
CN114184837B (en) * 2021-12-09 2022-10-18 电子科技大学 Instantaneous frequency measurement method based on Cordic algorithm

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