CN108833322A - A kind of the noise shaping despicking method and device of optimization - Google Patents
A kind of the noise shaping despicking method and device of optimization Download PDFInfo
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- CN108833322A CN108833322A CN201810312994.9A CN201810312994A CN108833322A CN 108833322 A CN108833322 A CN 108833322A CN 201810312994 A CN201810312994 A CN 201810312994A CN 108833322 A CN108833322 A CN 108833322A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2614—Peak power aspects
- H04L27/2615—Reduction thereof using coding
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2614—Peak power aspects
- H04L27/2623—Reduction thereof by clipping
Abstract
The present invention relates to the noise shaping despicking methods and device of a kind of optimization, including：It receives and caches the intermediate-freuqncy signal of upconverter transmission and obtain the phase and amplitude of the intermediate-freuqncy signal；Judge whether intermediate-freuqncy signal amplitude is greater than detection thresholds at different levels；If intermediate-freuqncy signal amplitude is greater than any level detection threshold in detection thresholds at different levels, the overall peak clipping vector of this level-one is calculated；Peak clipping is carried out to intermediate-freuqncy signal according to the overall peak clipping vector of this level-one, to obtain high-quality signal and be sent to DA converter.Method and device of the invention passes through multistage detection threshold and is eliminated the peak value more than detection threshold step by step, without carrying out peak value lookup, it is only directly eliminated when detecting the peak value more than detection threshold, system processing complexity is simplified, so that system is more stable.
Description
Technical field
The present invention relates to mobile communication technology field more particularly to the noise shaping despicking methods and device of a kind of optimization.
Background technique
OFDM (Orthogonal Frequency Division Multiplexing, orthogonal frequency division multiplexi) overloading
Wave system system uses orthogonal frequency channel, so high-speed radio number can be supported in the case where not needing complicated balancing technique
According to transmission, and the ability with very strong anti-fading and anti-ISI (Inter Symbol Interference, intersymbol interference),
But ofdm system is most important the disadvantage is that having biggish PAPR (Peak to Average Power Ratio, peak averaging function
Rate ratio), it directly affects the operating cost and efficiency of whole system.Peak-to-average force ratio problem is MCM (Multi Carrier
Modulation, multi-carrier modulation) in a common problem.
Sometime, if multiple carrier waves are added up with the same direction, very big peak value will be generated, to want
Ask power amplifier that there is very big linear region.Otherwise, when signal peak enters amplifier nonlinearity region, will make
Signal generates distortion, so that Intermodulation Interference and out-of-band radiation between producing subcarrier, destroy the orthogonality between subcarrier, reduces
System performance.Therefore, it is necessary to reduce the peak-to-average ratio of signal using certain technology, keep the power amplifier in transmitter high
Work is imitated, and improves the overall performance of system.The method of peak-to-average force ratio is reduced now there are many planting, wherein more commonly used has circulation
Limit filtration algorithm and subcarrier retain algorithm.
Recycle limit filtration algorithm：In ofdm signal, since the probability that biggish peak value occurs is very small, limit
Width is technology that is a kind of very direct and effectively reducing peak-to-average force ratio.When reducing the PAPR value of signal using limiting technology,
Signal amplitude will just be fallen when being more than the thresholding of setting by limit.Clipping processes are realized by following equation：
Wherein, x is the signal amplitude before clipping, and y is the signal amplitude after clipping.By equation it is found that signal after clipping
Amplitude will be limited in A.
Clipping is a non-linear process, it will lead to serious in-band noise and out-of-band interference, to reduce entire system
The performance of BER and spectrum efficiency of system.Clipping post filtering can reduce out of band spectrum interference, but this leads to peak regeneration again.
Although filtering will lead to peak regeneration, more much smaller than the signal peak before clipping.Therefore, multiple limit filtration can be passed through
Process further decreases the peak value of signal.
If digital signal, by direct clipping, clipped noise will be fully fallen in band, and cannot be subtracted by filtering operation
These small noises.In order to avoid this aliasing, 0 can be filled after the data input, and using longer IFFT process come
The original data block of over-sampling.Equally, it is needed after clipping by filtering come clipped noise outside cancellation band.
Limiting technology also has a variety of different methods.Some is to the signal progress amplitude limiting processing after IFFT transformation, before interpolation.
However, treated, signal must carry out interpolation before digital to analog conversion, this will lead to peak regeneration.Fig. 1 is limited after giving interpolation
The functional block diagram of width filtering.Firstly, input data vector is transformed into time domain from frequency domain over-sampling with the IFFT of larger lengths.It is right
In given oversample factor J, expand original data vector in intermediate addition N (J-1) a 0 of data vector, this will be
Lead to triangle interpolation in time domain.It include the signal of integer frequency cycle in FFT window this for OFDM, triangle interpolation has more
Good performance.Then clipping is carried out to signal.Since clipping is non-linear process, it can bring in-band noise and out-of-band interference.
In order to eliminate out-of-band interference, it is necessary to be filtered to the signal after clipping.What is provided in Fig. 1 is a new filter construction.
Time-domain signal is transformed into frequency domain with FFT first by it, then artificially by out of band signal zero setting, then is converted a signal into IFFT
Time domain, this completes the filterings to signal.Treated in this way, and signal does not have any out-of-band interference, and does not limit
The ofdm signal of width is the same.However, the clipped noise in band can not be eliminated by filtering operation, therefore, it can reduce system
Bit error rate performance.
Although filtering will lead to peak regeneration, it is much smaller than the signal peak before clipping.It therefore, can be by multiple
Limit filtration process further decreases the peak value of signal.The PAPR value of signal can be significantly reduced in iterative clipping and filtering, every time
Limit filtration process can further improve the PAPR characteristic of signal.By using the new filter construction talked about above,
It will not bring the increase of any out-of-band interference.Therefore, in systems in practice, major limitation is tired with interior clipped noise
Product.Since clipped noise is generated in transmitting terminal, it will decay with signal in fading channel, this will mitigate it to system
The influence of bit error rate performance.
Circulation limit filtration algorithm belongs to clipping class technology, and realization is relatively simple, i.e., directly limits excessively high peak value
Width is Nonlinear Processing, can generate in-band noise and out-of-band interference, is needed by filtering come clipped noise outside cancellation band, still
Filtered signal will lead to peak regeneration again, but be much smaller than the signal peak before clipping.It therefore, can be by repeatedly limiting
Width filtering further decreases the peak value of signal.The PAPR value of signal can be significantly reduced in iterative clipping and filtering, limits every time
Width filtering can further improve the PAPR characteristic of signal.
Newest physical layer is in recent years there are also a kind of TR (Tone Reservation, tone reservation) clipping algorithm
The technology of the reduction PAPR of rise, it does not need transmission side information, and for original TR method, it does not introduce band
Outer interference.Its complexity is relatively low and does not sacrifice spectrum efficiency.Not only spectrum efficiency does not reduce in extension TR algorithm,
And kernel vector is also turned into fixed value, so complexity is substantially reduced.It is worth noting that in this way can be in institute
Have and generates interference in available carrier wave.With regard to both methods comparatively, peak value can be effectively eliminated in physical layer, due to sub- load
Wave retains algorithm and does not generate out-of-band interference, so effect is slightly better than recycling limit filtration algorithm.But this algorithm is only
It is limited in physical layer realization.Only one clipping threshold power A in the prior art, greater than this peak clipping thresholding peak signal all
It to be eliminated, since TR algorithm is one peak clipping sequence of insertion, although peak clipping sequence eliminates main peak value, peak clipping sequence
Secondary lobe may generate peak signal.Or when eliminating small peak value signal, the secondary lobe of peak clipping sequence is possible to meeting so that just
The signal peak regeneration for just having cut peak, as long as increasing a little peak value, it is necessary to eliminate again, thus need continuous iteration
Peak clipping, not only waste of resource, but also the damage increase caused by signal.
In addition to this in intermediate frequency there are also noise shaping clipping algorithm (NS-CFR), this algorithm needs first to more than thresholding
Signal subtract each other with thresholding, obtain peak clipping noise, then noise shaping filtered, original signal subtracts molding filter noise,
To reduce the PAPR of signal, but this algorithm resource consumption is big, and signal quality EVM (Error Vector
Magnitude, error vector magnitude) deteriorate seriously.
In three of the above algorithm, although first two algorithm can be very good to eliminate peak value in physical layer, but be enter into
Due to also to pass through multistage interpolation after frequency, and filtering causes peak-to-average force ratio to improve again.The third algorithm, the noise of intermediate frequency at
Type algorithm resource consumption is big, and signal quality EVM deteriorates seriously.
It is therefore proposed that the noise shaping despicking method and device of a kind of optimization.
Summary of the invention
In view of the above problems, it proposes on the present invention overcomes the above problem or at least be partially solved in order to provide one kind
The noise shaping despicking method and device for stating the optimization of problem, are eliminated step by step by multistage detection threshold more than detection threshold
Peak value only directly eliminated when detecting the peak value more than detection threshold without carrying out peak value lookup, simplify and be
System processing complexity, so that system is more stable, resource consumption is small, and design is simple, is easy to practical.
According to an aspect of the present invention, the noise shaping despicking method of optimization provided by the invention, includes the following steps：
It receives and caches the intermediate-freuqncy signal of upconverter transmission and obtain the phase and amplitude of the intermediate-freuqncy signal；Judge intermediate frequency
Whether signal amplitude is greater than detection thresholds at different levels；If intermediate-freuqncy signal amplitude is greater than any level detection threshold in detection thresholds at different levels,
Then calculate the overall peak clipping vector of this level-one；Peak clipping is carried out to intermediate-freuqncy signal according to the overall peak clipping vector of this level-one, to obtain
High-quality signal is simultaneously sent to DA converter.
The overall peak clipping vector for calculating this level-one, includes the following steps：Detect that all amplitudes are examined greater than the first order
Survey the peak power point of thresholding；Each peak value of the first order is generated according to the peak power point that all amplitudes are greater than first order detection threshold
The peak clipping vector of power points, and the corresponding peak clipping vector of each peak power point is overlapped, generate the peak clipping of first order totality to
Amount；The second level is generated to m grades of overall peak clipping vectors according to two above step.
It is calculated by the following formula detection threshold：
Dm=Average_A*10Λ(measPARm/ 20),
Wherein, m is total peak clipping series, and Dm is detection threshold, and Average_A is that the amplitude of all intermediate-freuqncy signal power points is flat
Mean value, measPARm=par0+pm, pmFor the dB number that detection threshold is differed with clipping thresholding, 0.1dB~0.4dB is generally taken.
Intermediate-freuqncy signal cut in peak clipping by following formula in the overall peak clipping vector according to this level-one
Peak：
Wherein, xi+1Intermediate-freuqncy signal after indicating peak clipping, xiIntermediate-freuqncy signal before indicating peak clipping, n indicate xnMore than amplitude gate
The index of limit, i indicate i-stage peak clipping, and μ is peak clipping step-length, and α is the vector regulatory factor to core peak clipping vector Noi_P, Indicate n-th of peak value of i-stage amount regulatory factor, Noi_P be core peak clipping to
Amount,P be intermediate-freuqncy signal power points, A be clipping thresholding, A=Average_A*10^ (par0/20),
Average_A is the amplitude average value of all intermediate-freuqncy signal power points, and par0 is peak clipping target gate,
xnIndicate be from upconverter export the road I and the road Q complex representation,Indicate the peak clipping of i-stage totality
Vector, the relationship between clipping thresholding and detection threshold are：D1 > D2 ... Dm > A.
In detecting peak power point of all amplitudes greater than first order detection threshold, segmentation inspection is carried out to intermediate-freuqncy signal
It surveys, is provided with interval between segmentation.
Intermediate-freuqncy signal is being carried out to start peak clipping when peak power point is moved to the position of L/2, wherein L is in peak clipping
Peak clipping length.
According to another aspect of the present invention, the noise shaping peak cutting device of optimization provided by the invention, including：
Signal buffer, for receiving and caching the intermediate-freuqncy signal and the phase for obtaining the intermediate-freuqncy signal that upconverter is sent
And amplitude；Peak clipping condition determining device, for judging whether intermediate-freuqncy signal amplitude is greater than detection thresholds at different levels；Overall peak clipping is to meter
Device is calculated, for calculating the overall peak clipping of this level-one when intermediate-freuqncy signal amplitude is greater than any level detection threshold in detection thresholds at different levels
Vector；Peak value is high-quality to obtain for carrying out peak clipping to intermediate-freuqncy signal according to the overall peak clipping vector of this level-one to cutting device
Signal is simultaneously sent to DA converter.
Overall peak clipping vector counter includes first order peak detection unit to m grades of peak detection units and the first order
Overall peak clipping vector calculation unit is to m grades of overall peak clipping vector calculation units, wherein first order peak detection unit is used for
Detect that all amplitudes are greater than the peak power point of first order detection threshold；First order totality peak clipping vector calculation unit, is used for
The peak clipping vector of each peak power point of the first order is generated according to the peak power point that all amplitudes are greater than first order detection threshold, and
The corresponding peak clipping vector of each peak power point is overlapped, first order totality peak clipping vector is generated and is totally cut according to the first order
Peak vector carries out peak clipping to intermediate-freuqncy signal；The second level is respectively used to detect that all amplitudes are greater than to m grades of peak detection units
Peak power point of the second level to m grades of detection thresholds；The second level is respectively used to m grades of overall peak clipping vector calculation units
The second level is generated to m grades of each peak powers according to the peak power point that all amplitudes are greater than the second level to m grades of detection thresholds
The peak clipping vector of point, and the corresponding peak clipping vector of each peak power point is overlapped, the second level is generated to m grades of overall peak clippings
Vector simultaneously carries out peak clipping to intermediate-freuqncy signal to m grades of overall peak clipping vectors according to the second level.
The noise shaping peak cutting device of the optimization further includes：Thresholding calculator, for calculating clipping thresholding and inspection at different levels
Thresholding is surveyed, clipping thresholding will be calculated and be sent to overall peak clipping vector counter, and detection thresholds at different levels are sent to peak clipping condition
Determining device is calculated by the following formula clipping thresholding：
A=Average_A*10^ (par0/20),
Wherein, Average_A is the amplitude average value of all intermediate-freuqncy signal power points, and par0 is peak clipping target gate,
It is calculated by the following formula detection threshold：
Dm=Average_A*10Λ(measPARm/ 20),
Wherein, m is total peak clipping series, and Dm is detection threshold, and Average_A is that the amplitude of all intermediate-freuqncy signal power points is flat
Mean value, measPARm=par0+pm, pmFor the dB number that detection threshold is differed with clipping thresholding, 0.1dB~0.4dB is generally taken,
Relationship between clipping thresholding and detection threshold is：D1 > D2 ... Dm > A.
In peak value to cutting in device, peak clipping is carried out by following formula：
Wherein, xi+1Intermediate-freuqncy signal after indicating peak clipping, xiIntermediate-freuqncy signal before indicating peak clipping, n indicate xnMore than amplitude gate
The index of limit, i indicate i-stage peak clipping, and μ is peak clipping step-length, and α is the vector regulatory factor to core peak clipping vector Noi_P, Indicate n-th of peak value of i-stage amount regulatory factor, Noi_P be core peak clipping to
Amount,P be intermediate-freuqncy signal power points, A be clipping thresholding, A=Average_A*10^ (par0/20),
Average_A is the amplitude average value of all intermediate-freuqncy signal power points, and par0 is peak clipping target gate,
xnIndicate be from upconverter export the road I and the road Q complex representation,Indicate the peak clipping of i-stage totality
Vector.
Compared with prior art, the present invention having the following advantages that：
1. method and device of the invention passes through multistage detection threshold is eliminated the peak value more than detection threshold, nothing step by step
Peak value lookup need to be carried out, is only directly eliminated when detecting the peak value more than detection threshold, it is multiple to simplify system processing
Miscellaneous degree, so that system is more stable, resource consumption is small, and design is simple, is easy to practical.
2. in method and device of the invention, detection thresholds at different levels successively successively decrease and are all larger than clipping thresholding, big peak value
Signal is eliminated first, and small peak value signal rear class eliminates, so that peak clipping the number of iterations is reduced, peak signal is impaired smaller.
3. right in detecting peak power point of all amplitudes greater than first order detection threshold in method of the invention
Intermediate-freuqncy signal carries out segmentation detection, and interval is provided between segmentation, prevent peak power point greater than first order detection threshold from
Must be too close, cause excessive peak clipping.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention,
And it can be implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and advantage can
It is clearer and more comprehensible, the followings are specific embodiments of the present invention.
Detailed description of the invention
By reading the following detailed description of the preferred embodiment, various other advantages and benefits are common for this field
Technical staff will become clear.The drawings are only for the purpose of illustrating a preferred embodiment, and is not considered as to the present invention
Setting.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings：
Fig. 1 is limit filtration schematic diagram in the prior art；
Fig. 2 is the noise shaping despicking method block diagram of the optimization of the embodiment of the present invention；
Fig. 3 is the multistage peak clipping processing schematic of the embodiment of the present invention；
Fig. 4 is the level-one peak clipping Processing Algorithm block diagram of the embodiment of the present invention；
Fig. 5 is the peak clipping flow chart of data processing schematic diagram of the embodiment of the present invention；
Fig. 6 is another peak clipping flow chart of data processing schematic diagram of the embodiment of the present invention；
Fig. 7 is the noise shaping peak cutting device block diagram of the optimization of the embodiment of the present invention；
Fig. 8 is that the method for the embodiment of the present invention completes the time-domain power figure after peak clipping to intermediate-freuqncy signal；
Fig. 9 is that the method for the embodiment of the present invention completes the CCDF figure after peak clipping to intermediate-freuqncy signal；
Figure 10 is that the method for the embodiment of the present invention completes the planisphere after peak clipping to intermediate-freuqncy signal；
Figure 11 is that the method for the embodiment of the present invention completes peak clipping front and back spectrogram to intermediate-freuqncy signal；
Figure 12 is that the method for the embodiment of the present invention completes the temporal power figure after peak clipping to intermediate-freuqncy signal；
Figure 13 is that the method for the embodiment of the present invention completes another temporal power figure after peak clipping to intermediate-freuqncy signal；
Figure 14 is that the method for the embodiment of the present invention completes the another temporal power figure after peak clipping to intermediate-freuqncy signal；
Figure 15 is that the method for the embodiment of the present invention completes the also time power diagram after peak clipping to intermediate-freuqncy signal.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is set.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
It is fully disclosed to those skilled in the art.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singular " one " used herein, " one
It is a ", " described " and "the" may also comprise plural form.It is to be further understood that being arranged used in specification of the invention
Diction " comprising " refer to that there are the feature, integer, step, operation, element and/or component, but it is not excluded that in the presence of or addition
Other one or more features, integer, step, operation, element, component and/or their group.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art
Language and scientific term), there is meaning identical with the general understanding of those of ordinary skill in fields of the present invention.Should also
Understand, those terms such as defined in the general dictionary, it should be understood that have in the context of the prior art
The consistent meaning of meaning, and unless otherwise will not be explained in an idealized or overly formal meaning by specific definitions.
Fig. 2 is the noise shaping despicking method block diagram of the optimization of the embodiment of the present invention, and Fig. 3 is the more of the embodiment of the present invention
Grade peak clipping processing schematic, referring to figs. 2 and 3, the noise shaping despicking method of optimization provided by the invention, including following step
Suddenly：It receives and caches the intermediate-freuqncy signal of upconverter transmission and obtain the phase and amplitude of the intermediate-freuqncy signal；Judge intermediate-freuqncy signal
Whether amplitude is greater than detection thresholds at different levels；If intermediate-freuqncy signal amplitude is greater than any level detection threshold in detection thresholds at different levels, count
Calculate the overall peak clipping vector of this level-one；Peak clipping is carried out to intermediate-freuqncy signal according to the overall peak clipping vector of this level-one, to obtain quality
Good signal is simultaneously sent to DA converter.Specifically, the intermediate-freuqncy signal of upconverter transmission is received, first deposit buffer, opened
The series connection peak value of beginning m grade eliminates processing, and every level-one carries out peak value all in accordance with respective requirement and detects the comparison of amplitude, generates each
The peak clipping sequence of grade completes peak value at different levels to cutting, and after m grades of peak values are to processing completion is cut, peak clipping processing is tied
Beam.Method of the invention passes through multistage detection threshold and is eliminated the peak value more than detection threshold step by step, looks into without carrying out peak value
It looks for, is only directly eliminated when detecting the peak value more than detection threshold, system processing complexity is simplified, so that system
More stable, resource consumption is small, and design is simple, is easy to practical.
Intermediate-freuqncy signal obtains in the following manner：Upconverter receives the signal sended over from base bandThen
Intermediate-freuqncy signal x is formed by interpolation filteringIF[n], specific processing formula are as follows.
xIF[n]=xmix[n]·exp(-jωIFn)
Data pass through L times of interpolation when up-conversion thinks highly of processing, and data volume increases L times, but peak point with without interpolation
Before can have increased slightly, but the fluctuating of most peak value is consistent with original physical layer signal, and maximum difference is any
The distribution of one peak point is even closer and gentle, more favorably finds peak power point in this way, while really impaired physical layer
Data are possible to reduce, and narrow in the occupied relative bandwidth of IF passband, the time domain impulse of peak clipping sequence is not as good as physical layer
Time domain impulse is sharp, this is also exactly demand of the intermediate frequency to peak clipping sequence, the disadvantage is that the secondary lobe of intermediate frequency peak clipping sequence is higher than object
The secondary lobe for managing layer peak clipping sequence will lead to the signal amplitude near peak value and have growth slightly, in this way in the embodiment of the present invention
In, intermediate-freuqncy signal is being carried out to start peak clipping when peak power point is moved to the position of L/2, wherein L is peak clipping in peak clipping
Length can overcome disadvantage mentioned above in this way.In other words, in center frequency point in ωIF=0 starts peak clipping, Pn=Pexp (- j
ωIFN), 1≤n≤L, wherein P is intermediate-freuqncy signal power, PnFor intermediate-freuqncy signal power points, L is the length of intermediate-freuqncy signal.
The overall peak clipping vector for calculating this level-one, includes the following steps：Detect that all amplitudes are examined greater than the first order
Survey the peak power point of thresholding；Each peak value of the first order is generated according to the peak power point that all amplitudes are greater than first order detection threshold
The peak clipping vector of power points, and the corresponding peak clipping vector of each peak power point is overlapped, generate the peak clipping of first order totality to
Amount；The second level is generated to m grades of overall peak clipping vectors according to two above step.
Specifically, level-one peak clipping Processing Algorithm detects all as shown in figure 4, in Fig. 4 in this level-one peak clipping treatment process
Greater than the position of this detection threshold signal power point, matched position is displaced in element circular of the time domain to core peak clipping vector
It sets, while generating the peak clipping vector of this peak power point according to vector regulatory factor, the corresponding peak clipping of each peak power point
Vector is overlapped, and generates overall peak clipping vector setting, K peak clipping noise generators, that is to say, that can be parallel processing K
Peak power point, if the number of parallel peak clipping is more than K, remaining peak power point is postponed to next stage peak clipping
Reason.As shown in figure 4, the noise shaping algorithm after optimization, becomes multiple dot product processing from filtering processing, multiplication is greatly saved
Device resource, and avoid excessive peak clipping operation.
It is calculated by the following formula detection threshold：
Dm=Average_A*10Λ(measPARm/ 20),
Wherein, m is total peak clipping series, and Dm is detection threshold, and Average_A is that the amplitude of all intermediate-freuqncy signal power points is flat
Mean value, measPARm=par0+pm, pmFor the dB number that detection threshold is differed with clipping thresholding, 0.1dB~0.4dB is generally taken.
Intermediate-freuqncy signal cut in peak clipping by following formula in the overall peak clipping vector according to this level-one
Peak：
Wherein, xi+1Intermediate-freuqncy signal after indicating peak clipping, xiIntermediate-freuqncy signal before indicating peak clipping, n indicate xnMore than amplitude gate
The index of limit, i indicate i-stage peak clipping, and μ is peak clipping step-length, and α is the vector regulatory factor to core peak clipping vector Noi_P, Indicate n-th of peak value of i-stage amount regulatory factor, Noi_P be core peak clipping to
Amount,P be intermediate-freuqncy signal power points, A be clipping thresholding, A=Average_A*10^ (par0/20),
Average_A is the amplitude average value of all intermediate-freuqncy signal power points, and par0 is peak clipping target gate,
xnIndicate be from upconverter export the road I and the road Q complex representation,Indicate the peak clipping of i-stage totality
Vector, the relationship between clipping thresholding and detection threshold are：D1 > D2 ... Dm > A, therefore, p1>p2…>pm, user can pass through
P is set1To pmDetection thresholds at different levels are flexibly set, and peak clipping target gate remains unchanged, setting in this way is because causing
Power amplifier is non-linear the most serious is high peak valve signal, and bigger peak-data is not eliminated, in PA (Power Amplifir, function
Rate amplifier) in will cause bigger non-linear distortion, in order to guarantee that big peak signal is detected and eliminates first, setting is multistage
Detection threshold, and successively decrease step by step, and clipping thresholding is still greater than in afterbody, last is being carried out to intermediate-freuqncy signal in this way
After grade peak clipping, big peak value will be eliminated completely, and small leak will also occur with very low probability, will not result in shadow to system
It rings, this not only reduces excessively eliminating to input signal peak value, while accelerating the speed of peak clipping.
In detecting peak power point of all amplitudes greater than first order detection threshold, segmentation inspection is carried out to intermediate-freuqncy signal
It surveys, is provided with interval between segmentation.Intermediate-freuqncy signal open in peak clipping when peak power point is moved to the position of L/2
Beginning peak clipping, wherein L is peak clipping length.Fig. 5 is the peak clipping flow chart of data processing schematic diagram of the embodiment of the present invention, and Fig. 6 is the present invention
Another peak clipping flow chart of data processing schematic diagram of embodiment, referring to figs. 5 and 6, specifically, the data saved in buffer
When number is L/2+M, the data output of foremost judges whether the data are greater than detection amplitude and meet scheduled isolation,
I.e. isolation a period of time judges whether an output data is greater than detection amplitude, when the data are greater than detection amplitude and meet pre-
When fixed isolation, the position of present peak value power points is recorded, despiker, that is, peak clipping noise generators add 1 using number, peak clipping
Then coefficient and regulatory factor complex multiplication are started at the position L/2 to caching with obtaining peak clipping sequence before the power peak point
Data in device carry out peak clipping.
Prototype despiking coefficient be core peak clipping vector, be it is pre-stored, length is odd number, L=63.Prototype despiking coefficient
It is constant always.After detecting intermediate-freuqncy signal, judge whether to meet peak clipping condition, i.e. whether amplitude is greater than first order detection threshold
Peak power point, peak clipping operation is carried out if meeting peak clipping condition.During peak clipping, extract from buffer by peak clipping
Signal is all the same position, and the data on this position are constantly in FIFO, and (First Input First Output, first enters
First dequeue) state, and extracting prototype despiking coefficient all is successively to move completion from front to back, that is to say, that each clock
The shift in position of periodicity extraction data.After up-conversion using FPGA (Field-Programmable Gate Array, i.e., it is existing
Field programmable gate array) realize peak clipping, following data can not be determined, so needing buffer to cache the input of L/2+M letter
Number.Position before peak point is moved to L/2 begins to peak clipping, wants the input data of peak clipping L length always, and L is exactly to cut
The length of peak coefficient, such as L=63.Until this peak value eliminates completion, the data length that front and back participates in peak clipping is L, and is marked
Show cross threshold point also the peak point with prototype despiking coefficient to cutting.It is worth noting that, in order to guarantee not lose data, slow
Storage carries out before peak clipping processing completes, and needs to indicate and is carrying out peak clipping operation now.
Fig. 7 is the noise shaping peak cutting device block diagram of the optimization of the embodiment of the present invention, as shown in fig. 7, provided by the invention
The noise shaping peak cutting device of optimization, including：Signal buffer, for receiving and caching the intermediate-freuqncy signal of upconverter transmission simultaneously
Obtain the phase and amplitude of the intermediate-freuqncy signal；Peak clipping condition determining device, for judging whether intermediate-freuqncy signal amplitude is greater than inspections at different levels
Survey thresholding；Overall peak clipping vector counter, for being greater than any level detection threshold in detection thresholds at different levels in intermediate-freuqncy signal amplitude
When calculate the overall peak clipping vector of this level-one；Peak value is to device is cut, for the overall peak clipping vector according to this level-one to intermediate-freuqncy signal
Peak clipping is carried out, to obtain high-quality signal and be sent to DA converter.
The device of the invention further includes：System initialization module, for allocating cache device length and adjusting step.
Specifically, buffer includes master buffer and standby register, caches the data that upconverter sends over, first
It is cached in master buffer, after caching is full, master buffer starts to carry out peak clipping processing, and standby register starts to receive number
According to after completing m grades of peak clippings, data cached output, primary buffer becomes standby register, and standby register becomes mainly to cache
Device, therefore, switching for standby usage buffer is that program is automatically performed after system operation.The present invention includes master using one
Buffer and standby register are completed the data that export to upconverter and are cached, and buffer storage length is M+L/2, wherein M is
The data length cached in the peak clipping time, then cuts L data in buffer using the peak clipping sequence of same length
Peak processing completes current peak clipping processing after the data peak clipping in buffer, and storage depth only needs L/2+M, resource section
It saves.
Overall peak clipping vector counter includes first order peak detection unit to m grades of peak detection units and the first order
Overall peak clipping vector calculation unit is to m grades of overall peak clipping vector calculation units, wherein first order peak detection unit is used for
Detect that all amplitudes are greater than the peak power point of first order detection threshold；First order totality peak clipping vector calculation unit, is used for
The peak clipping vector of each peak power point of the first order is generated according to the peak power point that all amplitudes are greater than first order detection threshold, and
The corresponding peak clipping vector of each peak power point is overlapped, first order totality peak clipping vector is generated and is totally cut according to the first order
Peak vector carries out peak clipping to intermediate-freuqncy signal；The second level is respectively used to detect that all amplitudes are greater than to m grades of peak detection units
Peak power point of the second level to m grades of detection thresholds；The second level is respectively used to m grades of overall peak clipping vector calculation units
The second level is generated to m grades of each peak powers according to the peak power point that all amplitudes are greater than the second level to m grades of detection thresholds
The peak clipping vector of point, and the corresponding peak clipping vector of each peak power point is overlapped, the second level is generated to m grades of overall peak clippings
Vector simultaneously carries out peak clipping to intermediate-freuqncy signal to m grades of overall peak clipping vectors according to the second level.
The noise shaping peak cutting device of the optimization further includes：Thresholding calculator, for calculating clipping thresholding and inspection at different levels
Thresholding is surveyed, clipping thresholding will be calculated and be sent to overall peak clipping vector counter, and detection thresholds at different levels are sent to peak clipping condition
Determining device is calculated by the following formula clipping thresholding：
A=Average_A*10^ (par0/20),
Wherein, Average_A is the amplitude average value of all intermediate-freuqncy signal power points, and par0 is peak clipping target gate,
It is calculated by the following formula detection threshold：
Dm=Average_A*10Λ(measPARm/ 20),
Wherein, m is total peak clipping series, and Dm is detection threshold, and Average_A is that the amplitude of all intermediate-freuqncy signal power points is flat
Mean value, measPARm=par0+pm, pmFor the dB number that detection threshold is differed with clipping thresholding, 0.1dB~0.4dB is generally taken,
Relationship between clipping thresholding and detection threshold is：D1 > D2 ... Dm > A.
In peak value to cutting in device, peak clipping is carried out by following formula：
Wherein, xi+1Intermediate-freuqncy signal after indicating peak clipping, xiIntermediate-freuqncy signal before indicating peak clipping, n indicate xnMore than amplitude gate
The index of limit, i indicate i-stage peak clipping, and μ is peak clipping step-length, and α is the vector regulatory factor to core peak clipping vector Noi_P, Indicate n-th of peak value of i-stage amount regulatory factor, Noi_P be core peak clipping to
Amount,P be intermediate-freuqncy signal power points, A be clipping thresholding, A=Average_A*10^ (par0/20),
Average_A is the amplitude average value of all intermediate-freuqncy signal power points, and par0 is peak clipping target gate,
xnIndicate be from upconverter export the road I and the road Q complex representation,Indicate the peak clipping of i-stage totality
Vector.
Fig. 8 is that the method for the embodiment of the present invention completes the time-domain power figure after peak clipping to intermediate-freuqncy signal, referring to Fig. 8, peak clipping
Power fluctuation is consistent with original signal afterwards, allow in this way signal deterioration be reduced to it is minimum.
Fig. 9 is that the method for the embodiment of the present invention completes the CCDF figure after peak clipping to intermediate-freuqncy signal, as shown in Figure 9, after peak clipping
The PAPR value of intermediate-freuqncy signal greatly reduces.
Figure 10 is that the method for the embodiment of the present invention completes the planisphere after peak clipping, as shown in Figure 10, peak clipping to intermediate-freuqncy signal
The EVM value very little of intermediate-freuqncy signal afterwards.
Figure 11 is that the method for the embodiment of the present invention completes peak clipping front and back spectrogram, as shown in Figure 11, peak clipping to intermediate-freuqncy signal
The frequency spectrum of front and back intermediate-freuqncy signal is almost unchanged, that is to say, that the frequency spectrum of intermediate-freuqncy signal is not influenced by peak clipping.
Figure 12 is that the method for the embodiment of the present invention completes the temporal power figure after peak clipping to intermediate-freuqncy signal, and Figure 13 is the present invention
The method of embodiment completes another temporal power figure after peak clipping to intermediate-freuqncy signal, and Figure 14 is the method centering of the embodiment of the present invention
Frequency signal completes the another temporal power figure after peak clipping, and Figure 15 is after the method for the embodiment of the present invention completes peak clipping to intermediate-freuqncy signal
Also a time power diagram.Referring to Figure 12 to 15, the PAR of intermediate-freuqncy signal is very low, indicates that peak clipping can be substantially reduced intermediate-freuqncy signal
PAR.
The apparatus embodiments described above are merely exemplary, wherein described, unit can as illustrated by the separation member
It is physically separated with being or may not be, component shown as a unit may or may not be physics list
Member, it can it is in one place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of the modules achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
Labour in the case where, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
In addition, it will be appreciated by those of skill in the art that although some embodiments in this include institute in other embodiments
Including certain features rather than other feature, but the combination of the feature of different embodiment means in the scope of the present invention
Within and form different embodiments.For example, in the following claims, embodiment claimed it is any it
One can in any combination mode come using.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that：It still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of noise shaping despicking method of optimization, which is characterized in that include the following steps：
It receives and caches the intermediate-freuqncy signal of upconverter transmission and obtain the phase and amplitude of the intermediate-freuqncy signal；
Judge whether intermediate-freuqncy signal amplitude is greater than detection thresholds at different levels；
If intermediate-freuqncy signal amplitude is greater than any level detection threshold in detection thresholds at different levels, calculate the overall peak clipping of this level-one to
Amount；
Peak clipping is carried out to intermediate-freuqncy signal according to the overall peak clipping vector of this level-one, is become with obtaining high-quality signal and being sent to DA
Parallel operation.
2. the noise shaping despicking method of optimization according to claim 1, which is characterized in that described to calculate the total of this level-one
Body peak clipping vector, includes the following steps：
Detect that all amplitudes are greater than the peak power point of first order detection threshold；
According to all amplitudes be greater than first order detection threshold peak power point generate each peak power point of the first order peak clipping to
Amount, and the corresponding peak clipping vector of each peak power point is overlapped, generate first order totality peak clipping vector；
The second level is generated to m grades of overall peak clipping vectors according to two above step.
3. the noise shaping despicking method of optimization according to claim 2, which is characterized in that
It is calculated by the following formula detection threshold：
Dm=Average_A*10Λ(measPARm/ 20),
Wherein, m is total peak clipping series, and Dm is detection threshold, and Average_A is that the amplitude of all intermediate-freuqncy signal power points is average
Value, measPARm=par0+pm, pmFor the dB number that detection threshold is differed with clipping thresholding, 0.1dB~0.4dB is generally taken.
4. the noise shaping despicking method of optimization according to claim 3, which is characterized in that described according to this level-one
Overall peak clipping vector carries out intermediate-freuqncy signal to carry out peak clipping by following formula in peak clipping：
Wherein, xi+1Intermediate-freuqncy signal after indicating peak clipping, xiIntermediate-freuqncy signal before indicating peak clipping, n indicate xnMore than clipping thresholding
Index, i indicate i-stage peak clipping, and μ is peak clipping step-length, and α is the vector regulatory factor to core peak clipping vector Noi_P, Indicate n-th of peak value of i-stage amount regulatory factor, Noi_P be core peak clipping to
Amount,P be intermediate-freuqncy signal power points, A be clipping thresholding, A=Average_A*10^ (par0/20),
Average_A is the amplitude average value of all intermediate-freuqncy signal power points, and par0 is peak clipping target gate,
xnIndicate be from upconverter export the road I and the road Q complex representation,Indicate the peak clipping of i-stage totality
Vector,
Relationship between clipping thresholding and detection threshold is：D1 > D2 ... Dm > A.
5. the noise shaping despicking method of optimization according to claim 4, which is characterized in that detecting that all amplitudes are big
In the peak power point of first order detection threshold, segmentation detection is carried out to intermediate-freuqncy signal, interval is provided between segmentation.
6. the noise shaping despicking method of optimization according to claim 5, which is characterized in that cut to intermediate-freuqncy signal
In peak, start peak clipping when peak power point is moved to the position of L/2, wherein L is peak clipping length.
7. a kind of noise shaping peak cutting device of optimization, which is characterized in that including：
Signal buffer, for receiving and caching the intermediate-freuqncy signal and the phase and width for obtaining the intermediate-freuqncy signal that upconverter is sent
Degree；
Peak clipping condition determining device, for judging whether intermediate-freuqncy signal amplitude is greater than detection thresholds at different levels；
Overall peak clipping vector counter, based on when intermediate-freuqncy signal amplitude is greater than any level detection threshold in detection thresholds at different levels
Calculate the overall peak clipping vector of this level-one；
Peak value is high-quality to obtain for carrying out peak clipping to intermediate-freuqncy signal according to the overall peak clipping vector of this level-one to cutting device
Signal is simultaneously sent to DA converter.
8. the noise shaping peak cutting device of optimization according to claim 7, which is characterized in that overall peak clipping vector counter
Including first order peak detection unit to m grades of peak detection units and first order totality peak clipping vector calculation unit to m
The overall peak clipping vector calculation unit of grade, wherein
First order peak detection unit, for detecting that all amplitudes are greater than the peak power point of first order detection threshold；
First order totality peak clipping vector calculation unit, for being greater than the peak power point of first order detection threshold according to all amplitudes
The peak clipping vector of each peak power point of the first order is generated, and the corresponding peak clipping vector of each peak power point is overlapped, is generated
First order totality peak clipping vector simultaneously carries out peak clipping to intermediate-freuqncy signal according to first order totality peak clipping vector；
The second level is respectively used to detect that all amplitudes are greater than the second level to m grades of detection thresholds to m grades of peak detection units
Peak power point；
The second level is respectively used to be greater than according to all amplitudes the second level to m grades of inspections to m grades of overall peak clipping vector calculation units
The peak power point generation second level of thresholding is surveyed to the peak clipping vector of m grades of each peak power points, and to each peak power point pair
The peak clipping vector answered is overlapped, and generates the second level to m grades of overall peak clipping vectors and according to the second level to m grades of overall peak clippings
Vector carries out peak clipping to intermediate-freuqncy signal.
9. the noise shaping peak cutting device of optimization according to claim 8, which is characterized in that further include：Thresholding calculator,
For calculating clipping thresholding and detection threshold at different levels, clipping thresholding will be calculated and be sent to overall peak clipping vector counter, and will be each
Grade detection threshold is sent to peak clipping condition determining device,
It is calculated by the following formula clipping thresholding：
A=Average_A*10^ (par0/20),
Wherein, Average_A is the amplitude average value of all intermediate-freuqncy signal power points, and par0 is peak clipping target gate,
It is calculated by the following formula detection threshold：
Dm=Average_A*10Λ(measPARm/ 20),
Wherein, m is total peak clipping series, and Dm is detection threshold, and Average_A is that the amplitude of all intermediate-freuqncy signal power points is average
Value, measPARm=par0+pm, pmFor the dB number that detection threshold is differed with clipping thresholding, 0.1dB~0.4dB is generally taken,
Relationship between clipping thresholding and detection threshold is：D1 > D2 ... Dm > A.
10. the noise shaping peak cutting device of optimization according to claim 9, which is characterized in that in peak value to cutting in device,
Peak clipping is carried out by following formula：
Wherein, xi+1Intermediate-freuqncy signal after indicating peak clipping, xiIntermediate-freuqncy signal before indicating peak clipping, n indicate xnMore than clipping thresholding
Index, i indicate i-stage peak clipping, and μ is peak clipping step-length, and α is the vector regulatory factor to core peak clipping vector Noi_P, Indicate n-th of peak value of i-stage amount regulatory factor, Noi_P be core peak clipping to
Amount,P be intermediate-freuqncy signal power points, A be clipping thresholding, A=Average_A*10^ (par0/20),
Average_A is the amplitude average value of all intermediate-freuqncy signal power points, and par0 is peak clipping target gate,
xnIndicate be from upconverter export the road I and the road Q complex representation,Indicate the peak clipping of i-stage totality
Vector.
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