CN103152296B - Method and device for equilibrium processing - Google Patents
Method and device for equilibrium processing Download PDFInfo
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- CN103152296B CN103152296B CN201110401998.2A CN201110401998A CN103152296B CN 103152296 B CN103152296 B CN 103152296B CN 201110401998 A CN201110401998 A CN 201110401998A CN 103152296 B CN103152296 B CN 103152296B
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Abstract
The invention relates to the technical field of digital interphones, in particular to a method and a device for equilibrium processing. The method and the device for the equilibrium processing are used for solving the problems that an obtained symbol sequence during existing equilibrium processing is low in accuracy, and therefore accuracy of a demodulation result is influenced. The method for the equilibrium processing comprises the steps of according to an adjusting deviation value which corresponds to a previous data set and is received by a frame, and a middle deviation value which corresponds to a current data set, identifying an adjusting deviation value corresponding to the current data set, according to the adjusting deviation value corresponding to the current data set, adjusting at least one threshold value in a demodulation threshold set corresponding to the previous data set, regarding the adjusted demodulation threshold set as a demodulation threshold set corresponding to the current data set, and according to the demodulation threshold set corresponding to the current data set, finally judging and processing the current data set. The method and the device for the equilibrium processing improve accuracy of an identified symbol corresponding to each received datum after final judging and processing, and also improve accuracy of demodulation processing.
Description
Technical field
The present invention relates to digital handset technical field, particularly one carries out equalization processing method and equipment.
Background technology
Digital Clustering mobile communication system is on the basis of simulation trunked mobile communication system, comprehensively have employed advanced digital technology and the mobile communication system of the communication technology, there is the availability of frequency spectrum high, message transmission rate is high, antijamming capability is strong, high-quality long-distance transmissions, high level security, the performances such as the business adaptive capacity of high reliability and high flexible and the concatenation ability of Peripheral Interface, and the capacity of whole Digital Clustering mobile communication system is larger, systems connection is more convenient, therefore production scheduling is widely used in, the dedicated mobile communications subsystems such as command & control, raising is produced and operating efficiency, guarantee safety etc. are significant.
The mainstream technology standard of current digital handset is dPMR (digital Private Mobile Radio, digital individual mobile radio) standard.DPMR Standard General adopts 4FSK (Frequency-shift keying, frequency shift keying) modulation-demodulation technique, digital handset carries out demodulation process by through transmission to the signal of receiving terminal, by the signal after demodulation after filter, four level symbols are obtained again through sampling judgement, carry out reflection according to the mapping relations of four level symbols shown in table 1 and information bit and penetrate process, can binary information bit be obtained.
Table 1
The interference of multiple non-ideal factor is there is in digital handset system, unsteadiness as the voltage controlled oscillator VCO (Voltage-controlled oscillator) in digital handset (as there is certain locking time, makes receive frequency produce roll-off characteristic within this period of locking time; The and for example unsteadiness of locking frequency, make reception there is certain shake), the unsteadiness of electronic device (as undesirable in the capacitor charge and discharge time etc.), nonideal characteristic of channel etc., thus causing the unsteadiness of the data-signal received in the result of the receiving terminal frequency discrimination of digital handset, the reception condition of receiving terminal is as shown in Figure 1; Owing to there is the interference of multiple non-ideal factor in digital handset system, cause there is deviation between the actual frequency discrimination signal that receives and desirable frequency discrimination signal, as shown in Figure 2, in figure, Δ (t) is the deviate in the frequency discrimination signal amplitude that causes due to the interference of non-ideal factor, and this deviate is time dependent; If do not carry out equilibrium treatment to the receiving terminal of digital handset, the situation such as be easy to cause rear access (late entry) time slow, individual calling (Individual call) weak effect or cannot connect.
The equalization processing method of current digital handset is: according to Preamble (head frame), Fs1 (Frame sync 1 in frame structure, synchronization frame 1), Fs2 (Frame sync 2, synchronization frame 2) or CC (Colour Code, colour coding) etc. synchronizing sequence determine a constant deviate Δ, and according to the deviate Δ determined, initial demodulation threshold set is revised, obtain current demodulation threshold set; And adjudicate according to the reception data-signal of current demodulation threshold set to reality, to obtain four level symbol sequences corresponding to this frame structure.For Fs2 beginning frame structure be described, this frame structure as shown in Figure 3, wherein,
A:24bits Frame Sync 2 (FS2, frame synchronization 2) bits;
B:72bits Control Channel (CCH, control channel) data;
C:72bits Traffic Channel (TCH, Traffic Channel);
d：72bits Traffic Channel(TCH)；
e：72bits Traffic Channel(TCH)；
f：72bits Traffic Channel(TCH)。
In frame structure shown in Fig. 3, a is Fs2, is the distribution of the data-signal that+3 is-3 with judgement, if Fs2 symbol is [+3 according to judgement in Fs2 sequence, + 3 ,-3 ,-3,-3 ,-3 ,+3,-3 ,+3 ,-3,-3 ,+3], according to the desirable accumulated value of judgement in Fs2 for Fs2 in+3 and judgement be-3 the actual accumulated value of data-signal and standard, determine the deviate Δ because non-ideal factor causes, and according to the deviate Δ determined, initial demodulation threshold set is revised.
Because existing equalization methods is all adopt the synchronizing sequences such as Preamble, Fs1, Fs2 or CC to carry out equilibrium, deviate Δ (t) determined is a constant value, and in fact Δ (t) is time dependent, as shown in Equation 1;
formula 1;
Wherein, i=0,1,2,3 represent desirable constellation (1 ,-1,3 ,-3) respectively,
represent the actual data-signal received, d
irepresent the desirable data-signal received; Therefore, adjudicate the data-signal received according to the demodulation threshold set that constant deviate Δ is determined, the accuracy of the four level symbol sequences obtained is low, thus affects the accuracy of demodulation result.
In sum, adopt existing equalization processing method easily to cause the accuracy of the symbol sebolic addressing obtained low, thus affect the accuracy of demodulation result.
Summary of the invention
Embodiments provide a kind of method and apparatus carrying out equilibrium treatment, adopt existing equalization processing method easily to cause the accuracy of the symbol sebolic addressing obtained low for solving, thus affect the problem of the accuracy of demodulation result.
Embodiments provide a kind of method of carrying out equilibrium treatment, comprising:
The adjustment deviate corresponding according to the last data group received in frame and middle deviate corresponding to current data group, determine the adjustment deviate that described current data group is corresponding, middle deviate corresponding to wherein said current data group is that the demodulation threshold set corresponding according to described last data group is determined the result that described current data group carries out pre-decision process;
The adjustment deviate corresponding according to described current data group adjusts at least one threshold value in demodulation threshold set corresponding to described last data group;
Using demodulation threshold set corresponding to described last data group after adjustment as demodulation threshold set corresponding to described current data group, and the demodulation threshold set corresponding according to described current data group carries out conclusive judgement process to described current data group.
Preferably, described current data group is the arbitrary data group outside the first data group of receiving in the first frame.
Preferably, described current data group is the first data group received in other frames outside the first frame;
Adjustment deviate corresponding to described current data group is determined according to the following step:
The adjustment deviate corresponding according to last the data group received in former frame and middle deviate corresponding to described current data group, determine the adjustment deviate that described current data group is corresponding;
Demodulation threshold set corresponding to described current data group is determined according to the following step:
At least one threshold value in demodulation threshold set corresponding to last data group that the adjustment deviate adjustment former frame corresponding according to described current data group receives, and using demodulation threshold set corresponding for last data group described in after adjustment as demodulation threshold set corresponding to described current data group.
Preferably, described current data group is the arbitrary data group in any frame outside the first data group;
Adjustment deviate corresponding to described last data group is determined according to the following step:
If described last data group is the first data group received in frame, using middle deviate corresponding for described last data group as adjustment deviate corresponding to described last data group;
Demodulation threshold set corresponding to described last data group is determined according to the following step:
If described last data group is the first data group received in frame, according at least one threshold value in the demodulation threshold set of adjustment deviate adjustment setting corresponding to described last data group, and using the demodulation threshold set of the setting after adjustment as demodulation threshold set corresponding to described last data group.
Preferably, determine according to following formula the adjustment deviate that described current data group is corresponding:
Δ(n)＝α·Δ′(n)+(1-α)·Δ(n-1)；
Wherein, Δ (n) is adjustment deviate corresponding to described current data group; Δ (n-1) is adjustment deviate corresponding to described last data group; Δ ' (n) is middle deviate corresponding to described current data group; N is the number of the data group received in frame, n=1,2,3, α is forgetting factor, 0≤α≤1.
Embodiments provide a kind of equipment carrying out equilibrium treatment, it is characterized in that, described equipment comprises:
Determination module, for according to adjustment deviate corresponding to the last data group received in frame and middle deviate corresponding to current data group, determine the adjustment deviate that described current data group is corresponding, middle deviate corresponding to wherein said current data group is that the demodulation threshold set corresponding according to described last data group is determined the result that described current data group carries out pre-decision process;
Adjusting module, adjusts at least one threshold value in demodulation threshold set corresponding to described last data group for the adjustment deviate corresponding according to described current data group;
Processing module, for using demodulation threshold set corresponding to described last data group after adjustment as demodulation threshold set corresponding to described current data group, and the demodulation threshold set corresponding according to described current data group carries out conclusive judgement process to described current data group.
Preferably, described determination module specifically for: when described current data group is the first data group received in other frames outside the first frame, the adjustment deviate corresponding according to last the data group received in former frame and middle deviate corresponding to described current data group, determine the adjustment deviate that described current data group is corresponding;
Described processing module specifically for: when described current data group is the first data group received in other frames outside the first frame, at least one threshold value in demodulation threshold set corresponding to last data group that the adjustment deviate adjustment former frame corresponding according to described current data group receives, and using demodulation threshold set corresponding for last data group described in after adjustment as demodulation threshold set corresponding to described current data group.
Preferably, described determination module specifically for: when described last data group is the first data group received in frame, using middle deviate corresponding for described last data group as adjustment deviate corresponding to described last data group;
Described processing module specifically for: when described last data group is the first data group received in frame, according at least one threshold value in the demodulation threshold set of adjustment deviate adjustment setting corresponding to described last data group, and using the demodulation threshold set of the setting after adjustment as demodulation threshold set corresponding to described last data group.
Preferably, described determination module specifically for: determine according to following formula the adjustment deviate that described current data group is corresponding:
Δ(n)＝α·Δ′(n)+(1-α)·Δ(n-1)；
Wherein, Δ (n) is adjustment deviate corresponding to described current data group; Δ (n-1) is adjustment deviate corresponding to described last data group; Δ ' (n) is middle deviate corresponding to described current data group; N is the number of the data group received in frame, n=1,2,3, α is forgetting factor, 0≤α≤1.
The embodiment of the present invention carries out pre-decision process according to the last data group received in frame to current data group, to upgrade adjustment deviate, and according to the corresponding demodulation threshold set of last data group received in the adjustment deviate adjustment frame upgraded, according to the demodulation threshold set upgraded, final decision process is carried out to the current data group received in frame again, thus the accuracy of the symbol sebolic addressing obtained after improve decision process, and then also improve demodulation result accuracy.
Accompanying drawing explanation
Fig. 1 is that the ideal of the first digital handset receiving terminal receives frequency discrimination signal and the actual schematic diagram receiving frequency discrimination signal;
Fig. 2 is that the ideal of the second digital handset receiving terminal receives frequency discrimination signal and the actual schematic diagram receiving frequency discrimination signal;
Fig. 3 is with the frame structure schematic diagram of Fs2 beginning in dPMR standard;
Fig. 4 is a kind of method flow diagram carrying out equilibrium treatment of the embodiment of the present invention;
Fig. 5 is the determination method flow diagram of the middle deviate of the current data group of the embodiment of the present invention;
Fig. 6 is the embodiment of the present invention shown in Fig. 4, and the first carries out the implementation method flow chart of equilibrium treatment;
The second that Fig. 7 is the embodiment of the present invention shown in Fig. 4 carries out the implementation method flow chart of equilibrium treatment;
Fig. 8 is a kind of structural representation carrying out the equipment of equilibrium treatment of the embodiment of the present invention.
Embodiment
The embodiment of the present invention utilizes the corresponding demodulation threshold set of data group of current reception in the adjustment deviate adjustment frame constantly updated, demodulation threshold set according to upgrading carries out decision process to this data group, thus solves existing equilibrium treatment and easily cause the problem that the accuracy of the symbol sebolic addressing obtained is low.
Below in conjunction with Figure of description, the embodiment of the present invention is described in further detail.
As shown in Figure 4, the first of the embodiment of the present invention carries out the method for equilibrium treatment, and the method comprises the following steps:
S401, according to adjustment deviate corresponding to the last data group received in frame and middle deviate corresponding to current data group, determine the adjustment deviate that current data group is corresponding, the middle deviate that wherein current data group is corresponding is that the demodulation threshold set corresponding according to last data group is determined the result that current data group carries out pre-decision process;
S402, the adjustment deviate corresponding according to current data group adjust at least one threshold value in demodulation threshold set corresponding to last data group;
S403, using demodulation threshold set corresponding to last data group after adjustment as demodulation threshold set corresponding to current data group, and the demodulation threshold set corresponding according to current data group carries out conclusive judgement process to current data group;
Repeat S401 ~ S403, until data receiver is complete.
For the ease of processing the data received in every frame, preferably, the reception data of identical number are comprised in each the data group received in every frame of the embodiment of the present invention.
As shown in Figure 5, the middle deviate that in S401, current data group is corresponding can be determined according to the following step:
S501, the demodulation threshold set corresponding according to the last data group received in frame, carry out pre-decision process to current data group;
S502, the data determined in the current data group that the symbol of each setting is corresponding;
S503, the middle deviate corresponding according to the data determination current data group that the symbol of each setting is corresponding.
Concrete, in S503, determine the mean value of established data in S502, using the mean value determined as middle deviate corresponding to current data group.
Below for the symbol in dPMR standard to determining that the process of the middle deviate that current data group is corresponding is described.
Four level symbols in dPMR standard comprise+3 ,+1 ,-1 and-3, and the symbol set in the embodiment of the present invention can one or more in+3 ,+1 ,-1 and-3;
Such as, select+3 and-3 as the symbol set in the embodiment of the present invention based on experience value, then determine that middle deviate corresponding to current data group comprises:
Obtain in the current data group after decision process is carried out to current data group the data being judged to+3, and determine the mean value of the data being judged to+3, be designated as V1;
Obtain in the current data group after decision process is carried out to current data group the data being judged to-3, and determine the mean value of the data being judged to-3, be designated as V2;
Averaged with the mean value V2 of the data being judged to-3 by the mean value V1 of the data being judged to+3, be designated as V, then the value of the V determined is middle deviate Δ ' (n) corresponding to current data group again.
And for example select+3 ,+1 ,-1 and-3 as the symbol set in the embodiment of the present invention based on experience value, then determine that middle deviate corresponding to current data group comprises:
Obtain in the current data group after decision process is carried out to current data group the data being judged to+3, and determine the mean value of the data being judged to+3, be designated as V1;
Obtain in the current data group after decision process is carried out to current data group the data being judged to-3, and determine the mean value of the data being judged to-3, be designated as V2;
The mean value V1 of the data being judged to+3 is averaged with the mean value V2 of the data being judged to-3 again, is designated as V ';
Obtain in the current data group after decision process is carried out to current data group the data being judged to+1, and determine the mean value of the data being judged to+1, be designated as V3;
Obtain in the current data group after decision process is carried out to current data group the data being judged to-1, and determine the mean value of the data being judged to-1, be designated as V4;
The mean value V3 of the data being judged to+1 is averaged with the mean value V4 of the data being judged to-1 again, is designated as V ";
By mean value V ' and V " average again, be designated as V, then the value of the V determined is middle deviate corresponding to current data group.
If current data group is the arbitrary data group outside the first data group of receiving in the first frame in S401, be specifically divided into following two kinds of situations:
The first situation: current data group is the first data group received in other frames outside the first frame;
The adjustment deviate corresponding according to the following step determination current data group:
The adjustment deviate corresponding according to last the data group received in former frame and middle deviate corresponding to current data group, determine the adjustment deviate that current data group is corresponding;
Accordingly, determine according to the following step the demodulation threshold set that front data group is corresponding:
At least one threshold value of demodulation threshold set corresponding to last data group that the adjustment deviate adjustment former frame corresponding according to current data group receives, and using the demodulation threshold set after adjustment as demodulation threshold set corresponding to current data group;
After determining the demodulation threshold set that current data group is corresponding, the demodulation threshold set corresponding according to current data group carries out conclusive judgement process to current data group;
The symbol corresponding to each data obtained after conclusive judgement process carries out reflection and penetrates process, obtains the binary information bit that each data are corresponding, and according to determining that binary information bit sequence carries out subsequent treatment.
The second situation: current data group is the arbitrary data group outside the first data group of receiving in any frame;
If last data group is the first data group (namely current data group is the second data group received in frame) received in frame, then corresponding according to the following step determination last data group adjustment deviate:
Using middle deviate corresponding for last data group as adjustment deviate corresponding to last data group;
Accordingly, corresponding according to the following step determination last data group demodulation threshold set:
According at least one threshold value in the demodulation threshold set of adjustment deviate adjustment setting corresponding to last data group, and using the demodulation threshold set of the setting after adjustment as demodulation threshold set corresponding to last data group; The demodulation threshold set wherein set refers to unjustified original demodulation threshold set in background technology;
After determining the demodulation threshold set that last data group is corresponding, the demodulation threshold set corresponding according to last data group carries out pre-decision process to current data group;
The middle deviate corresponding according to the result determination current data group of pre-decision process, and according to adjustment deviate corresponding to last data group and middle deviate corresponding to current data group, determine the adjustment deviate that current data group is corresponding;
According at least one threshold value in the demodulation threshold set that the adjustment deviate adjustment last data group that current data group is corresponding is corresponding;
Using demodulation threshold set corresponding to last data group after adjustment as demodulation threshold set corresponding to current data group, and the demodulation threshold set corresponding according to current data group carries out conclusive judgement process to current data group;
The symbol corresponding to each data obtained after conclusive judgement process carries out reflection and penetrates process, obtains the binary information bit that each data are corresponding, and according to determining that binary information bit sequence carries out subsequent treatment.
According to original demodulation threshold set, pre-decision process is carried out to the first data group received in the first frame in the embodiment of the present invention; The middle deviate that the first data group is corresponding is determined, using this middle deviate as adjustment deviate corresponding to the first data group according to pre-court verdict; The adjustment deviate corresponding according to the first data group adjusts original demodulation threshold set, and using the original demodulation threshold set after adjustment as demodulation threshold set corresponding to the first data group; The demodulation threshold set corresponding according to the first data group carries out conclusive judgement process to the first data group, and the demodulation threshold set corresponding according to the first data group carries out pre-decision process to the second data group received, the like;
When after the first frame end, the process for the first data group received in the second frame comprises two kinds of modes:
Mode one: the demodulation threshold set corresponding according to last the data group received in the first frame carries out pre-decision process to the first data group received in the second frame; The middle deviate that the first data group of the second frame reception is corresponding is determined according to the result of pre-decision process, and the middle deviate corresponding according to the first data group of adjustment deviate corresponding to last data group of the first frame and the second frame, determine the adjustment deviate that the first data group of the second frame is corresponding; The adjustment deviate corresponding according to the first data group of the second frame adjusts demodulation threshold set corresponding to last data group of the first frame, and using the demodulation threshold set after adjustment as demodulation threshold set corresponding to the first data group of the second frame; The demodulation threshold set first data group to second frame corresponding according to the first data group of the second frame carries out conclusive judgement process, and the demodulation threshold set corresponding according to the first data group of the second frame is carried out carrying out pre-decision process to the second data group of the second frame, the rest may be inferred;
The processing mode of the data group received in the 3rd frame and subsequent frame is identical with the processing mode of the data group received in the second frame, repeats no more herein.
Mode two: carry out pre-decision process according to the first data group of original demodulation threshold set to the second frame; The middle deviate that the first data group of the second frame is corresponding is determined, using this middle deviate as adjustment deviate corresponding to the first data group of the second frame according to the result of pre-decision process; The adjustment deviate corresponding according to the first data group of the second frame adjusts original demodulation threshold set, and using the original demodulation threshold set after adjustment as demodulation threshold set corresponding to the first data group of the second frame; The demodulation threshold set first data group to second frame corresponding according to the first data group of the second frame carries out conclusive judgement process, and the demodulation threshold set second data group to second frame corresponding according to the first data group of the second frame carries out pre-decision process, the like;
The processing mode of the data group received in the 3rd frame and subsequent frame is identical with the processing mode of the data group received in the second frame, repeats no more herein.
The object that demodulation threshold set corresponding according to last data group in the embodiment of the present invention carries out pre-decision process to the current data group received in frame is in order to middle deviate corresponding to the result determination current data group according to pre-decision process, to determine the adjustment deviate that current data group is corresponding, thus the demodulation threshold set corresponding according to this adjustment deviate determination current data group;
The object of carrying out conclusive judgement process to the current data group received in frame in the embodiment of the present invention is the symbol that in the result determination current data group according to conclusive judgement process, each data are corresponding, thus determine the binary information bit that each data are corresponding, to the subsequent treatment receiving data.
According to adjustment deviate corresponding to the last data group received in formula 2 pairs of frames and the smoothing process of middle deviate corresponding to current data group in S401, to determine the adjustment deviate that current data group is corresponding:
Δ (n)=α Δ ' (n)+(1-α) Δ (n-1) formula 2;
Wherein, Δ (n) is adjustment deviate corresponding to current data group; Δ (n-1) is adjustment deviate corresponding to last data group; Δ ' (n) is middle deviate corresponding to current data group; N is the number of the data group received in frame, n=1,2,3, α is forgetting factor, 0≤α≤1.
Illustrate below and current data group adjudicated in advance and the process of conclusive judgement process.
For the 4FSK signal of routine, assuming that the constellation value mapped (what adopt for dPMR standard is mapping mode between+3 ,+1 ,-1 and-3 and binary information bit for+3 ,+1 ,-1 and-3; The embodiment of the present invention is suitable for other mapping modes equally), suppose that demodulation threshold set corresponding to last data group is (+2,0 ,-2), then to the process that the data in current data group carry out pre-decision process be:
If the data <-2 received, then determine that symbol corresponding to these data is-3;
If-2≤data≤0 that receives, then determine that symbol corresponding to these data is-1;
If data≤2 that 0 < receives, then determine that symbol corresponding to these data is+1;
If the data > 2 received, then determine that symbol corresponding to these data is+3;
Suppose that the symbol set is as+3 and-3, to judgement for+3 data and judgement for-3 data averaged, namely this mean value obtained is middle deviate corresponding to current data group is that (n is the number of the data group received in frame to Δ ' (n), n=1,2,3 ...); By adjustment deviate Δ (n-1) corresponding for last data group and middle deviate corresponding to current data group be again Δ ' (n) according to formula 2, determine adjustment deviate Δ (n) that current data group is corresponding; Adjustment deviate Δ (n) corresponding according to current data group adjusts demodulation threshold set corresponding to last data group, demodulation threshold set after adjustment is: (0+ Δ (n), + 2+ Δ (n),-2+ Δ (n)), and using the demodulation threshold set after adjustment as demodulation threshold set corresponding to current data group; The demodulation threshold set corresponding according to current data group carries out conclusive judgement process to current data group, determines in current data group, and carries out reflection to symbol and penetrate process, and obtain the binary information bit that each data are corresponding, demodulation process terminates.
Demodulation threshold set corresponding according to the adjustment deviate adjustment last data group that current data group is corresponding in the embodiment of the present invention, can adjust the part or all of threshold value in demodulation threshold set; Preferably, corresponding according to current data group adjustment deviate adjusts all threshold values in demodulation threshold set corresponding to last data group.
Adjustment deviate corresponding according to the current data group determined after smoothing processing in the embodiment of the present invention, the demodulation threshold set that adjustment last data group is corresponding, and using the demodulation threshold set after adjustment as demodulation threshold set corresponding to current data group; The demodulation threshold set corresponding according to current data group carries out conclusive judgement process to current data group root, make the accuracy of the result of conclusive judgement process higher, avoid the error of the decision process result caused because of the unsteadiness receiving data in frame, be conducive to the performance promoting digital handset.
Introduce the thought of decision-feedback in the embodiment of the present invention, namely corresponding according to last data group demodulation threshold set carries out pre-decision process to current data group, and the adjustment deviate corresponding according to pre-judgement result determination current data group; Demodulation threshold set corresponding according to the adjustment deviate adjustment last data group that current data group is corresponding again, determines the demodulation threshold set that current data group is corresponding; The last demodulation threshold set corresponding according to current data group carries out conclusive judgement process to current data group, determines the symbol that each data are corresponding, makes the accuracy of the result of decision process higher, be also easy to realize in digital handset.
Below to adopt 4FSK modulation-demodulation technique, and, as the first frame a kind of method of carrying out equilibrium treatment of the embodiment of the present invention is described in detail with the frame structure (frame structure for Fs2 beginning) shown in Fig. 3; The method that the embodiment of the present invention determines to adjust deviate and demodulation threshold set be equally applicable to other frame structure (as head frame, tail frame, with the frame of CC beginning).
Suppose that selected symbol+3 and-3 is as the symbol set in the embodiment of the present invention, as shown in Figure 6, the implementation method that the first of the embodiment of the present invention carries out equilibrium treatment comprises:
S601, according to original demodulation threshold set, pre-decision process is carried out to the first data group received in present frame (i.e. frame head Fs2 receive data), determine the adjustment deviate Δ (0) that the first data group that this present frame receives is corresponding, and adjust original demodulation threshold set according to the adjustment deviate Δ (0) determined, obtain the demodulation threshold set F (0) that the first data group is corresponding, the demodulation threshold set F (0) corresponding according to the first data group carries out conclusive judgement process to the first data group, determines the symbol that each data of this first data group are corresponding;
S602, the demodulation threshold set F (0) corresponding according to the first data group carry out pre-decision process to the second data group received in this present frame, determine middle deviate Δ ' (1) that this second data group is corresponding;
S603, middle deviate Δ ' (1) corresponding according to the second data group determined in adjustment deviate Δ (0) corresponding to the first data group determined in S601 and S602, determine the adjustment deviate Δ (1) that the second data group is corresponding;
Concrete, determine that in the second data group, judgement is the mean value V1 of the data of+3;
Determine that in the second data group, judgement is the mean value V2 of the data of-3, and determine the mean value V of mean value V1 and V2;
Determine that mean value V is middle deviate Δ ' (1) corresponding to the second data group;
According to adjustment deviate Δ (0) the smoothing process that formula 2 is corresponding with the first data group to middle deviate Δ ' (1) that the second data group determined is corresponding, obtain the deviate Δ (1) that the second data group is corresponding;
Δ (n)=α Δ ' (n)+(1-α) Δ (n-1) formula 2;
Wherein, α is forgetting factor, and the span of α is 0≤α≤1; N=1,2,3 ..., n is the number of data group;
For the ease of process, the data received in every frame on average can be divided into n group, then the maximum of n is
wherein " [] " represents rounding operation; In frame structure as shown in Figure 3, every frame structure comprises 192 symbols, if get N=10, then the maximum of n is
namely last data group comprises two reception data; The general number often organizing data is no more than the number of the symbol that frame head comprises, and in frame structure as shown in Figure 3, frame head Fs2 comprises 12 symbols, and the span of the N of general setting is 1≤N≤12.
According to different needs, when dividing the data group of the reception of different frame, the number of n can be different, also can be identical.
S604, revise demodulation threshold set F (0) corresponding to the first data group according to obtaining adjustment deviate Δ (1) corresponding to the second data group in S603, obtain the demodulation threshold set F (1) that the second data group is corresponding, and the demodulation threshold set F (1) corresponding according to the second data group carries out conclusive judgement process to the second data group, determine the symbol that each data of this second data group are corresponding;
S605, judge next the data group whether having reception in this frame;
If so, then S606 is performed;
If not, then S609 is performed;
S606, according to adjustment deviate corresponding to the last data group received in frame and middle deviate corresponding to current data group, according to the smoothing process of formula 2, determine the adjustment deviate that current data group is corresponding, and perform S607;
S607, the adjustment deviate corresponding according to current data group adjust the threshold value in demodulation threshold set corresponding to last data group, and perform S608;
S608, using demodulation threshold set corresponding to last data group after adjustment as demodulation threshold set corresponding to current data group, and the demodulation threshold set corresponding according to current data group carries out conclusive judgement process to current data group, determine the symbol that each data are corresponding, and return execution S605;
S609, judge whether data receiver terminates;
If so, then process ends;
If not, then S601 ~ S609 is performed.
Preferably, as shown in Figure 7,
As shown in Figure 7, the second of the embodiment of the present invention carries out the implementation method of equilibrium treatment, comprising:
S701, according to original demodulation threshold set, pre-decision process is carried out to the first data group received in the first frame (i.e. frame head Fs2 receive data), determine the adjustment deviate Δ (0) that the first data group that this first frame receives is corresponding, and adjust original demodulation threshold set according to the adjustment deviate Δ (0) determined, obtain the demodulation threshold set F (0) that the first data group is corresponding, the demodulation threshold set F (0) corresponding according to the first data group carries out conclusive judgement process to the first data group, determines the symbol that each data of this first data group are corresponding;
S702, the demodulation threshold set F (0) corresponding according to the first data group carry out pre-decision process to the second data group received in this present frame, determine middle deviate Δ ' (1) that this second data group is corresponding;
S703, middle deviate Δ ' (1) corresponding according to the second data group determined in adjustment deviate Δ (0) corresponding to the first data group determined in S701 and S702, determine the adjustment deviate Δ (1) that the second data group is corresponding;
S704, revise demodulation threshold set F (0) corresponding to the first data group according to obtaining adjustment deviate Δ (1) corresponding to the second data group in S703, obtain the demodulation threshold set F (1) that the second data group is corresponding, and the demodulation threshold set F (1) corresponding according to the second data group carries out conclusive judgement process to the second data group, determine the symbol that each data of this second data group are corresponding;
S705, judge next the data group whether having reception in this frame;
If so, then S706 is performed;
If not, then S709 is performed;
S706, according to adjustment deviate corresponding to the last data group received in frame and middle deviate corresponding to current data group, determine according to formula 2 the adjustment deviate that current data group is corresponding, and perform S707;
S707, the adjustment deviate corresponding according to current data group adjust at least one threshold value in demodulation threshold set corresponding to last data group, and perform S708;
S708, using demodulation threshold set corresponding to last data group after adjustment as demodulation threshold set corresponding to current data group, and the demodulation threshold set corresponding according to current data group carries out conclusive judgement process to current data group, determine the symbol that each data are corresponding, and return execution S705;
S709, judge whether data receiver terminates;
If so, then process ends;
If not, then S710 is performed.
S710, the demodulation threshold set (i.e. n-th demodulation threshold set F (n) of former frame) corresponding according to last data group of former frame carry out pre-decision process to the first data group that present frame receives, and the middle deviate corresponding according to the first data group of the result determination present frame of pre-decision process; The adjustment deviate (i.e. n-th deviate Δ (n) of former frame) corresponding according to last data group of formula 2 pairs of former frame and the smoothing process of middle deviate corresponding to the first data group of present frame, determine the adjustment deviate that the first data group of present frame is corresponding, and return execution S707.
Based on same inventive concept, a kind of equipment carrying out equilibrium treatment is additionally provided in the embodiment of the present invention, the principle of dealing with problems due to this equipment is similar to above-mentioned method of carrying out equilibrium treatment, and therefore the enforcement of this equipment see the enforcement of method, can repeat part and repeat no more.
Embodiments provide a kind of equipment carrying out equilibrium treatment, as shown in Figure 8, equipment comprises:
Determination module 80, for according to adjustment deviate corresponding to the last data group received in frame and middle deviate corresponding to current data group, determine the adjustment deviate that current data group is corresponding, the middle deviate that wherein current data group is corresponding is that the demodulation threshold set corresponding according to last data group is determined the result that current data group carries out pre-decision process;
Adjusting module 81, at least one threshold value in the demodulation threshold set that the adjustment deviate adjustment last data group corresponding according to current data group is corresponding;
Processing module 82, for using demodulation threshold set corresponding to last data group after adjustment as demodulation threshold set corresponding to current data group, and the demodulation threshold set corresponding according to current data group carries out conclusive judgement process to current data group.
Preferably, determination module 80 specifically for: when current data group is the first data group received in other frames outside the first frame, the adjustment deviate corresponding according to last the data group received in former frame and middle deviate corresponding to current data group, determine the adjustment deviate that current data group is corresponding;
Processing module 82 specifically for: when current data group is the first data group received in other frames outside the first frame, at least one threshold value in demodulation threshold set corresponding to last data group that the adjustment deviate adjustment former frame corresponding according to current data group receives, and using demodulation threshold set corresponding for last the data group after adjustment as demodulation threshold set corresponding to current data group.
Preferably, determination module 80 specifically for: when last data group is the first data group received in frame, using middle deviate corresponding for last data group as adjustment deviate corresponding to last data group;
Processing module 82 specifically for: when last data group is the first data group received in frame, according at least one threshold value in the demodulation threshold set of adjustment deviate adjustment setting corresponding to last data group, and using the demodulation threshold set of the setting after adjustment as demodulation threshold set corresponding to last data group.
Preferably, determination module 80 is specifically for the adjustment deviate corresponding according to following formula determination current data group:
Δ(n)＝α·Δ′(n)+(1-α)·Δ(n-1)；
Wherein, Δ (n) is adjustment deviate corresponding to current data group; Δ (n-1) is adjustment deviate corresponding to last data group; Δ ' (n) is middle deviate corresponding to current data group; N is the number of the data group received in frame, n=1,2,3, α is forgetting factor, 0≤α≤1.
The embodiment of the present invention carries out pre-decision process according to the last data group received in frame to current data group, to upgrade adjustment deviate, and according to the corresponding demodulation threshold set of last data group received in the adjustment deviate adjustment frame upgraded, according to the demodulation threshold set upgraded, final decision process is carried out to the current data group received in frame again, thus the accuracy of the symbol sebolic addressing obtained after improve decision process, and then also improve demodulation result accuracy.
Although describe the preferred embodiments of the present invention, those skilled in the art once obtain the basic creative concept of cicada, then can make other change and amendment to these embodiments.So claims are intended to be interpreted as comprising preferred embodiment and falling into all changes and the amendment of the scope of the invention.
Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (9)
1. carry out a method for equilibrium treatment, it is characterized in that, the method comprises:
The adjustment deviate corresponding according to the last data group received in frame and middle deviate corresponding to current data group, determine the adjustment deviate that described current data group is corresponding, middle deviate corresponding to wherein said current data group is that the demodulation threshold set corresponding according to described last data group is determined the result that described current data group carries out pre-decision process;
The adjustment deviate corresponding according to described current data group adjusts at least one threshold value in demodulation threshold set corresponding to described last data group;
Using demodulation threshold set corresponding to described last data group after adjustment as demodulation threshold set corresponding to described current data group, and the demodulation threshold set corresponding according to described current data group carries out conclusive judgement process to described current data group.
2. the method for claim 1, is characterized in that, described current data group is the arbitrary data group outside the first data group of receiving in the first frame.
3. method as claimed in claim 2, it is characterized in that, described current data group is the first data group received in other frames outside the first frame;
Adjustment deviate corresponding to described current data group is determined according to the following step:
The adjustment deviate corresponding according to last the data group received in former frame and middle deviate corresponding to described current data group, determine the adjustment deviate that described current data group is corresponding;
Demodulation threshold set corresponding to described current data group is determined according to the following step:
At least one threshold value in demodulation threshold set corresponding to last data group that the adjustment deviate adjustment former frame corresponding according to described current data group receives, and using demodulation threshold set corresponding for last data group described in after adjustment as demodulation threshold set corresponding to described current data group.
4. method as claimed in claim 2, it is characterized in that, described current data group is the arbitrary data group in any frame outside the first data group;
Adjustment deviate corresponding to described last data group is determined according to the following step:
If described last data group is the first data group received in frame, using middle deviate corresponding for described last data group as adjustment deviate corresponding to described last data group;
Demodulation threshold set corresponding to described last data group is determined according to the following step:
If described last data group is the first data group received in frame, according at least one threshold value in the demodulation threshold set of adjustment deviate adjustment setting corresponding to described last data group, and using the demodulation threshold set of the setting after adjustment as demodulation threshold set corresponding to described last data group.
5. the method as described in as arbitrary in Claims 1 to 4, is characterized in that, determine according to following formula the adjustment deviate that described current data group is corresponding:
Δ(n)＝α·Δ′(n)+(1-α)·Δ(n-1)；
Wherein, Δ (n) is adjustment deviate corresponding to described current data group; Δ (n-1) is adjustment deviate corresponding to described last data group; Δ ' (n) is middle deviate corresponding to described current data group; N is the number of the data group received in frame, n=1,2,3, α is forgetting factor, 0≤α≤1.
6. carry out an equipment for equilibrium treatment, it is characterized in that, described equipment comprises:
Determination module, for according to adjustment deviate corresponding to the last data group received in frame and middle deviate corresponding to current data group, determine the adjustment deviate that described current data group is corresponding, middle deviate corresponding to wherein said current data group is that the demodulation threshold set corresponding according to described last data group is determined the result that described current data group carries out pre-decision process;
Adjusting module, adjusts at least one threshold value in demodulation threshold set corresponding to described last data group for the adjustment deviate corresponding according to described current data group;
Processing module, for using demodulation threshold set corresponding to described last data group after adjustment as demodulation threshold set corresponding to described current data group, and the demodulation threshold set corresponding according to described current data group carries out conclusive judgement process to described current data group.
7. equipment as claimed in claim 6, it is characterized in that, described determination module specifically for: when described current data group is the first data group received in other frames outside the first frame, the adjustment deviate corresponding according to last the data group received in former frame and middle deviate corresponding to described current data group, determine the adjustment deviate that described current data group is corresponding;
Described processing module specifically for: when described current data group is the first data group received in other frames outside the first frame, at least one threshold value in demodulation threshold set corresponding to last data group that the adjustment deviate adjustment former frame corresponding according to described current data group receives, and using demodulation threshold set corresponding for last data group described in after adjustment as demodulation threshold set corresponding to described current data group.
8. equipment as claimed in claim 7, it is characterized in that, described determination module specifically for: when described last data group is the first data group received in frame, using middle deviate corresponding for described last data group as adjustment deviate corresponding to described last data group;
Described processing module specifically for: when described last data group is the first data group received in frame, according at least one threshold value in the demodulation threshold set of adjustment deviate adjustment setting corresponding to described last data group, and using the demodulation threshold set of the setting after adjustment as demodulation threshold set corresponding to described last data group.
9. the equipment as described in as arbitrary in claim 6 ~ 8, is characterized in that, described determination module specifically for: determine according to following formula the adjustment deviate that described current data group is corresponding:
Δ(n)＝α·Δ′(n)+(1-α)·Δ(n-1)；
Wherein, Δ (n) is adjustment deviate corresponding to described current data group; Δ (n-1) is adjustment deviate corresponding to described last data group; Δ ' (n) is middle deviate corresponding to described current data group; N is the number of the data group received in frame, n=1,2,3, α is forgetting factor, 0≤α≤1.
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