CN103188186A - Resampling processing device and method and digital modulation signal producing device - Google Patents

Resampling processing device and method and digital modulation signal producing device Download PDF

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CN103188186A
CN103188186A CN2012104707332A CN201210470733A CN103188186A CN 103188186 A CN103188186 A CN 103188186A CN 2012104707332 A CN2012104707332 A CN 2012104707332A CN 201210470733 A CN201210470733 A CN 201210470733A CN 103188186 A CN103188186 A CN 103188186A
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filter coefficient
resampling
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filter
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CN103188186B (en
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小野纯
花屋达郎
伊藤伸一
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Anritsu Corp
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Abstract

The invention provides a resampling processing device, a digital modulation signal producing device utilizing the resampling processing device and a resamping processing method with comparatively high freedom degree of speed ratio. In order to realize resampling processing with a speed ratio of m/n on data list Din input at a sampling rate Fin, the resampling processing device includes an FIR digital filter (21) performing addition and plus operation of lastest P data of the data list Din and filter indexes grouped by P and outputting operation results successively; a filter index storing component (25) used for gathering m*P filtering indexes required by data insert values dividing data input intervals of the digital filter (21) equally according to certain intervals and storing in advance; and a filter index switching component (25) selecting the filtering indexes grouped by P in the filter index storing component (25) and attaching the digital filter (21) with Fin*m/n resampling speed, so that convenience is made for outputting m insert value data related to timing every N time sequences during n data is input to the digital filter (21).

Description

Resampling processing unit and method and digital modulation signals generation device
Technical field
The present invention relates to a kind of technology of the degree of freedom for the rate conversion of enlarge to resample handling, this resampling is handled the data rows that synthetic sample rate is different in digital modulation signals generation device etc. and is produced when carrying out the signal of numeral modulation with this synthetic data rows, the data rows when converting at least one side's data rows with other sample rate samplings (resampling).
Background technology
The device that produces digital modulation signals passes through the data rows of the base band of generation I, Q2 phase basically, and convert them to analog signal respectively and be input in the quadrature modulator by D/A converter, thereby generate phase place/amplitude according to the digital modulation signals of I, the variation of Q2 value at desirable frequency band.
The device of this generation digital modulation signals is used for utilizing the evaluation of the various communication equipments of digital modulation mode, but estimates receiving, and is not only the expectation ripple, and it is important that the characteristic when also adding disturbing wave also becomes gradually.
Especially nearest, progressively increase for the demand of the evaluation of the expectation ripple of combination distinct symbols rate and disturbing wave.
The method that comprises the signal of the desired wave of different ratios and disturbing wave as generation; can expect preparing 2 digital modulation signals generation devices; the disturbing wave that produces in the expectation ripple that generates in one side's device and the opposing party's device closed ripple and be input into the mode of evaluation object; but extensiveization that causes system configuration, and cost increases.
Therefore, as simpler mode, can expect the data rows of synthetic different sample rates in synthetic base band, and the signal that generation is carried out the numeral modulation with this synthetic data rows is input into evaluation object.
For 2 different signal trains of synthesis rate like this, the ratio that need carry out both cooperates to be handled, as the simplest method of this processing, there is the rate conversion with both to become the common ratio of its least common multiple and carry out the method (referring to Patent Document 1) that add operation is handled.
Patent documentation 1: the open 2006-29862 communique of Japan Patent
Yet, when for the signal generation device of the data rows of handling multiple sample rate, the kind of the sample rate of the data rows that desire is synthetic is more, relative therewith, exist to enter frequency band limited on the hardware and can convert the combination of ratio of least common multiple to limited, and can be used in the problem that the versatility of mensuration of the communication system equipment of wide range is short of to some extent.
Especially, desire to carry out the sample rate of the synthetic data rows of add operation when close, its least common multiple is compared with former ratio and is become very big.For example, when the ratio of 2 sample rate F1, F2 is 101:99, have to each rate conversion is become 99 times and 101 times, and require respectively its rate conversion of carrying out hypervelocity to be handled, if former sample rate is at a high speed, then its rate conversion becomes extremely difficult.
Summary of the invention
The present invention finishes in order to address this problem, the resampling treatment technology that its purpose is to provide a kind of speed ratio to have the big degree of freedom, and provide a kind of and can carry out the higher digital modulation signals generation device of versatility of composite test of the data rows of multiple sample rate by utilizing this technology.
In order to realize described purpose, the resampling processing unit of claim 1 of the present invention, it is to carrying out the resampling processing that speed ratio is m/n with the data rows of predetermined sample rate Fin input, wherein, m, n are integer, it is characterized in that, this resampling processing unit possesses: FIR(Finite Impulse Response, finite impulse response (FIR)) type digital filter (21,21A, 21B), it carries out up-to-date P data of the described data rows that is transfused to and P is the multiply-add operation of one group filter coefficient, and its operation result is exported successively; Filter coefficient means of storage (25), it stores m * P filter coefficient in advance; And filter coefficient switching member (26), to select described P successively be one group filter coefficient and give described digital filter with the resampling speed of Finm/n from described filter coefficient means of storage for it, so that it is during a described n data are input into described digital filter, individual about interpolated data regularly by time sequence output m every n.
And, the resampling processing unit of claim 2 of the present invention, it is characterized in that, be stored in the filter coefficient of described filter coefficient means of storage, is each required filter coefficient of data interpolating in regularly that the m five equilibrium is carried out in the input of the data that are input into described digital filter at interval.
And, the digital modulation signals generation device of claim 3 of the present invention, it has: the 1st data rows output link (31), it is used for the 1st data rows of modulation with the output of the 1st sample rate; The 2nd data rows output link (32), it is used for the 2nd data rows of modulation with the 2nd sample rate output different with the 1st sample rate; And resampling handling part (40,40A, 40B), it is in order to cooperate described the 1st data rows with the sample rate of the 2nd data rows, at least one side's data rows is carried out the resampling processing that speed ratio is m/n, wherein, m, n is integer, this digital modulation signals generation device carries out add operation to handling to join with the data rows of sample rate by described resampling, and the signal of numeral modulation is carried out in generation by the data rows of this add operation, it is characterized in that, described resampling handling part possesses: FIR(Finite ImpulseResponse, finite impulse response (FIR)) the type digital filter (21,21A, 21B), it carries out individual with up-to-date P data of the data rows of sample rate Fin input and P is the multiply-add operation of one group filter coefficient, and its operation result is exported successively; Filter coefficient means of storage (25), it stores m * P filter coefficient in advance; And filter coefficient switching member (26), to select described P successively be one group filter coefficient and give described digital filter with the resampling speed of Finm/n from described filter coefficient means of storage for it, so that it is during n data are input into described digital filter, individual about interpolated data regularly by time sequence output m every n.
And, the digital modulation signals generation device of claim 4 of the present invention, it is characterized in that, being stored in the filter coefficient of described filter coefficient means of storage, is each required filter coefficient of data interpolating in regularly that the m five equilibrium is carried out in the input of the data that are input into described digital filter at interval.
And, the resampling processing method of claim 5 of the present invention, it is to carrying out the resampling processing that speed ratio is m/n with the data rows of predetermined sample rate Fin input, wherein, m, n are integer, it is characterized in that this resampling processing method comprises: the step of carrying out the multiply-add operation of up-to-date P data of the described data rows that is transfused to and P filter coefficient that is a group; Use the FIR(Finite Impulse Response export its operation result successively, finite impulse response (FIR)) step of type digital filter; Store the filter coefficient storing step of m * P filter coefficient in advance; And the described P that selects described storage successively is one group filter coefficient and gives described digital filter with the resampling speed of Finm/n, so that during n data are input into described digital filter, individual by m interpolated data about timing of time sequence output every n, carrying out speed ratio thus is the step of the resampling processing of m/n.
And, the resampling processing method of claim 6 of the present invention, the filter coefficient that it is stored in described filter coefficient storing step is each required filter coefficient of data interpolating in regularly that the m five equilibrium is carried out in the input of the data that are input into described digital filter at interval.
So, among the present invention, will to each data interpolating regularly that carries out the m five equilibrium with respect to the input of the data of digital filter at interval required (the individual filter coefficient of m * P) by as the interpolation candidate each each regularly gather and storage in advance, and to select P from the filter coefficient means of storage successively be one group filter coefficient and give digital filter with the resampling speed of Finm/n, so that it is during n data are input into digital filter, individual about interpolated data regularly by time sequence output m every n.
Therefore, can be with can be by the speed of the wider range of the ratio (m/n) of two integers expression than processing that resample of the data rows to predetermined sample rate, and can be by the higher digital modulation signals generation device of versatility that utilizes this resamplings processing realization to carry out add operation to the combination of the data rows of multiple sample rate.
Description of drawings
Fig. 1 is the structure chart of the resampling processing unit of embodiments of the present invention.
Fig. 2 is that execution mode is the action specification figure of the resampling processing of m/n=4.
Fig. 3 is the storage row and the figure that reads order of expression filter coefficient.
Fig. 4 is the timing diagram that the resampling of the m/n=4 of execution mode is handled.
Fig. 5 is the action specification figure that the resampling of the m/n=4/3 of execution mode is handled.
Fig. 6 is the action specification figure that the resampling of the m/n=4/3 of execution mode is handled.
Fig. 7 is the action specification figure that the resampling of the m/n=4/3 of execution mode is handled.
Fig. 8 is the timing diagram that the resampling of the m/n=4/3 of execution mode is handled.
Fig. 9 is the structure chart of I, Q2 facies pattern resampling processing unit.
Figure 10 is the figure of the execution mode of expression digital modulation signals generation device of the present invention.
Figure 11 is the figure of another execution mode of expression digital modulation signals generation device of the present invention.
Figure 12 is that m/n=4/5(is when reducing sample rate) action specification figure.
Among the figure: 20,20 '-resampling processing unit, 21,21A, 21B-digital filter, the 22-register, the 23-multiplier, the 24-adder, 25-filter coefficient means of storage, 26-filter coefficient switching member, the 27-filter coefficient writes member, 30,30 '-digital modulation signals generation device, 31-the 1st data rows output link, 32-the 2nd data rows output link, 40,40A, 40B-resampling handling part, the 41-configuration part, the 42-adjustment part of gaining, 43-addition portion, the 44-D/A transducer, the 45-quadrature modulator.
Embodiment
Below, based on accompanying drawing embodiments of the present invention are described.
Fig. 1 has represented to use the structure of resampling processing unit 20 of the present invention.
This resampling processing unit 20 be the data rows Din with predetermined sample rate Fin input is carried out appointment speed than m/n(wherein, m, n are integer, at the device that this resampling that is made as m>n) is handled, it has digital filter 21, filter coefficient means of storage 25, filter coefficient switching member 26 and filter coefficient and writes member 27.
Digital filter 21 be by storage input data the time with the register 22 that is connected of a plurality of P level files of grade displacement backward successively 1~22 P, obtain each register 22 1~22 POutput R 1~R PWith P be one group filter coefficient h(i, 1)~h(i, the multiplier 23 of long-pending a plurality of P P) 1~23 P, and obtain multiplier 23 1~23 PThe tap number that constitutes of the adder 24 of output summation be the FIR type digital filter of P.
This digital filter 21 is used for obtaining carrying out the data of interpolation between the input data by computing, and utilizes by impulse response F(X)=(sinX)/character of the data value of the intermediate point (datum mark) of the coefficient that X obtains and the summation approximate function waveform of data.In addition, can use utilize window function W(X) F(X)=[(sinX)/X] W(X) formula replaces the formula of above-mentioned impulse response.
In order to carry out this data interpolating, store the input interval T s=1/Fin to respect to the data of digital filter 21 that regularly gathers by each each in the filter coefficient means of storage 25 in advance and carry out required (the individual filter coefficient of m * P) of each data interpolating regularly of m five equilibrium.
And, filter coefficient switching member 26 is selected P successively from filter coefficient means of storage 25 is one group filter coefficient and gives digital filter 21 with the speed (resampling speed) of Finm/n, so that it is during n data are input into digital filter 21, individual about interpolated data regularly by time sequence output m every n.
Filter coefficient writes member 27 and calculates the required filter coefficient of the processing that resamples and be stored in filter coefficient means of storage 25 than m/n based on the sample rate Fin of input data and the speed of appointment.
Then, the action to this resampling processing unit 20 describes.
For the ease of understanding the action of each one, illustrate that at first P=8, m=4, n=1(speed ratio are 4) situation.
Input in the digital filter 21 is had 8 input data Din(1)~Din(8) timing is made as benchmark timing t=0.At this moment, as Fig. 2 (a), each register 22 1~22 8Output R 1~R 8Become R 1=Din(1), R 2=Din(2) ..., R 8=Din(8).
For these 8 continuous input data, if the register that the initial timing of the processing that will resample is made as near the centre position of tap number (is made as register 22 this moment 4, but also can be register 22 5) output valve R 4=Din(4), the value of wishing to get in then resampling is output valve R 4(=Din(4)) itself, this is known.
Therefore, at this moment, shown in Fig. 2 (b), as long as to having only and output valve R 4Carry out the filter coefficient h(1 of multiplying, 4) be 1 and other filter coefficients h(1,1)~h(1,3), h(1,5)~and h(1,8) be that one group of filter coefficient of 0 carries out multiplying and gets final product, based on the initial output valve Dout(1 that resamples and handle) become
Dout (1)= J=18H (1, j) Rj=1 * Rj(mark J=1Σ 8Summation till expression j=1~8).
In addition, emphasize accuracy and use itself the group of register coefficient of input-output data at this, but also can use the coefficient corresponding with being used for impulse response that interpolated data described later calculates.
Among Fig. 2 (a), because the speed ratio that resamples is m/n=4, therefore need be to input data Din(4), Din(5) between Ts carry out 4(=m) cut apart each regularly obtain Q1 interpolated data regularly among Q1~Q3.
For this reason, as Fig. 2 (c), if use the waveform center from the initial timing impulse response F(X-Δ T of displacement T=Ts/m only), and with the value of each sampling timing of 8 data that are stored in each register in the function F (X-Δ T) of this displacement (Ts at interval) as second group of filter coefficient h(2,1)~h(2,8) be set in digital filter 21, then can obtain the output valve Dout(2 based on the timing Q1 that resamples)
Dout(2)= j=1Σ 8h(2,j)·Rj。
Similarly, as Fig. 2 (d), if the value of each sampling timing of 8 data that are stored in each register the impulse response F(X-2 Δ T with further displacement T) (Ts at interval) is as the 3rd group of filter coefficient h(3,1)~h(3,8) be set in digital filter 21, then can obtain the output valve Dout(3 based on the timing Q2 that resamples)
Dout(3)= j=1Σ 8h(3,j)·Rj。
In addition, as Fig. 2 (e), if the value of each sampling timing of 8 data that are stored in each register the impulse response F(X-3 Δ T with further displacement T) (Ts at interval) is as the 4th group of filter coefficient h(4,1)~h(4,8) be set in digital filter 21, then can obtain the output valve Dout(4 based on the timing Q3 that resamples)
Dout(4)= j=1Σ 8h(4,j)·Rj。
Thus, can obtain comprising input data Din(4) until next data Din(5) between carry out 4 resampling data Dout(1 of interpolation)~Dout(4).And, carry out above-mentioned processing with the interval of Ts/m during before the input data are updated, at new data Din(9) be transfused to and stage of upgrading to its up-to-date data Din(2)~Din(9) carry out above-mentioned same processing, by continuing to carry out this processing, can carry out speed to data Din and handle than the resampling of m/n=4.
Resample in this example and handle 4 groups of required filter coefficient h(1,1)~h(1,8), h(2,1)~h(2,8), h(3,1)~h(3,8), h(4,1)~h(4,8), as long as be stored in the filter coefficient means of storage 25 that is constituted by memories such as RAM as Fig. 3 by sequence of addresses, and with their every pass through Ts/4 time sequencing and read to be set in digital filter 21 circularly get final product.
Fig. 4 is the figure that gathers above-mentioned a succession of action, as Fig. 4 (a) at 1 (=n) input data Din reproducting periods Ts, as Fig. 4 (b) be used for to carry out between 2 data interpolation required 4 groups (=m) filter coefficient with the interval of Ts/4=Δ T by the time sequence order and change circularly, thereby as Fig. 4 (c) and its synchronously export the resampling data Dout of 4 sampling rates with input.
In addition, as previously mentioned, as the 1st group of filter coefficient h(1,1)~h(1,8), also can be at impulse response F(X) in will be stored in each sampling timing (Ts at interval) of 8 data of each register value obtain in groups, and be set in digital filter 21.
Above-mentioned example is the example of m=4, n=1, about importing the each point that is divided into m between the data, data are imported in 1 of every input, and per 1 of each point is all obtained m interpolated data by the time sequence, be that a simple speed ratio is 4 rate conversion processing, then the action to m=4, n=3 describes.
Shown in Fig. 5 (a), at 8 data Din(1)~Din(8) be stored under the state of each register of digital filter 21, select the 1st group of filter coefficient h(1,1 as Fig. 5 (b))~h(1,8), the initial resampling data Dout(1 of output)=R1=Din(4).
At this moment, because with above-mentioned m=4 similarly, therefore the 1st group of filter coefficient of for the treatment of initial timing and about identical with the situation of above-mentioned example to 3 groups of required filter coefficients of the data interpolating of timing Q1~Q3 of carrying out the m five equilibrium between 2 input data, but next the resampling is spaced apart every 3(=n) the individual timing that namely postpones 3 Δ T, therefore as Fig. 5 (c), with from the timing Q3 of the initial constant time lag 3 Δ T impulse response F(X-3 Δ T as the waveform center), to be stored in the value of each sampling timing (Ts at interval) of 8 data of each register as selecting the 4th group of filter coefficient h(4 in the described example of group, 1)~h(4,8), output and this 2nd resampling data Dout(2 that regularly Q3 is corresponding thus).
Next resampling data are the timings that further postpone 3 Δ T, each of carrying out in Fig. 5 (a) namely that m cuts apart between to register data R5, R6 be the timing of the Q2 ' among Q1 '~Q3 ' regularly, but before carrying out this resampling, the initial timing of handling from resampling is through the sampling period Ts of input data, thereby as Fig. 6 (a), each register 22 1~22 8Output valve R 1~R 8Be updated to data Din(2 respectively)~Din(9).
Therefore, from this input Data Update regularly to arriving the regularly timing of the t=Ts+2 Δ T of Q2 of next resampling object, select the 3rd group of filter coefficient h(3,1 as Fig. 6 (b))~h(3,8), export thus this register 22 4, 22 5Data Din(5), Din(6) between carry out 3 of the m five equilibrium regularly 3rd the resampling data Dout(3s corresponding with timing Q2 among Q1~Q3).
The next resampling is the timing that further postpones 3 Δ T from the state of Fig. 6 again, each of carrying out in Fig. 6 (a) namely that m cuts apart between to register data R5, R6 be the timing of the Q1 ' among Q1 '~Q3 ' regularly, but before carrying out this resampling, the initial timing of handling from resampling is through 2 times the time (2Ts) of the sampling period Ts of input data, thereby as Fig. 7 (a), each register 22 1~22 8Output valve R 1~R 8Be updated to data Din(3 respectively)~Din(10).
Therefore, from this input Data Update regularly to arriving the regularly timing of the t=2Ts+ Δ T of Q1 of next resampling object, select second group of filter coefficient h(2,1 as Fig. 7 (b))~h(2,8), export thus this register 22 4, 22 5Data Din(6), Din(7) between carry out 3 of the m five equilibrium regularly 4th the resampling data Dout(4s corresponding with timing Q1 among Q1~Q3).
And next the resampling is the timing that further postpones 3 Δ T from the state of Fig. 7, and namely the output of register data R5 regularly when carrying out this resampling, is just in time passed through 3Ts from the initial timing of handling that resamples in Fig. 7 (a), thus each register 22 1~22 8Output valve R 1~R 8Be updated to data Din(4 respectively)~Din(11).
This state is except register data is updated, identical with the initial condition of Fig. 5, be equivalent to get back to the initial condition that resamples and handle, therefore cooperate this input Data Update regularly, similarly select the 1st group of filter coefficient h(1 with described Fig. 5 (b), 1)~and h(1,8), output and this register 22 thus 4, 22 5Data Din(7) the 5th equal resampling data Dout(5).
Namely, during this resample to be handled with the 3/4(=n/m of the sampling period Ts of input data) doubly cycle with filter coefficient with h(1, j) → h(4, j) → h(3, j) → h(2, j) sequential loop reads and switches, and is 4/3(=m/n thereby constantly input data Din is carried out speed ratio) resampling handle.
Fig. 8 is that the input data, filter coefficient of the above-mentioned example of expression are switched and the timing diagram of the relation of resampling data, input data Din at the sampling period Ts of Fig. 8 (a) upgrades 3(=n) inferior during, as Fig. 8 (b), 4 groups of filter coefficients are with 3Ts/4(=Tsn/m) the interval change the resampling data that calculate as the filter coefficient of Fig. 8 (c) output by this change by described order.In addition, if will the cycle be converted into speed, then the switch speed of filter coefficient and resampling speed become Finm/n.
More than, the simple example of P=8, m=4, n=3 is illustrated, but the tap number P of digital filter 21 is as long as for being enough to reduce the number based on the interpolation error of being carried out the asymmetry that displacement produces by the paired pulses response, then can be arbitrarily.
For example, be 16 bits at data length, under the situation of tap number P=28, to the W-CDMA of symbol rate 3.84MHz with modulating data and the GSM(registered trade mark of symbol rate 270.833kHz being carried out the 3.25MHz of 12 times of over-samplings) carry out add operation when synthetic with modulating data, to the GSM(registered trade mark) carry out speed than the resampling processing of m/n=384/325 and close ripple with modulating data, its result is about the GSM(registered trade mark) to determine phase error be 0.22deg, determining Modulation Error Rate about W-CDMA is (EVM) 0.51%, can confirm to have or not to resample to handle almost not change.
And the speed that the decision resampling is handled is arbitrarily than the scope of integer m, the n of m/n, but is set at about 1024 as if the upper limit with m, n, then can tackle the combination of many digital symbol rates of modulating of using now.
In above-mentioned each example, the resampling processing that a series of input data are carried out has been described, but the I that is used for numeral modulation usefulness, during Q2 phase data rows, if as the resampling processing unit 20 ' of Fig. 9 to as described in two digital filter 21A of data filter 21 same structures, 21B imports the 2 phase data Iin that import synchronously with predetermined sample rate (symbol rate), Qin, and the common filter coefficient that is used for its multiply-add operation is similarly switched as above-mentioned by filter coefficient switching member 25, then can access the 2 phase data Iout that resample than m/n with speed, Qout.
Figure 10 represents the structure of the digital modulation signals generation device 30 that the resampling processing unit 20 ' with I shown in Figure 9, Q2 facies pattern possesses as resampling handling part 40.
This digital modulation signals generation device 30 has: the 1st data rows output link 31, the 1st data rows D1 that it is used for modulation and is become by the fabric of I, Q2 phase with the 1st sample rate Fin1 output; And the 2nd data rows output link 32, it is become and is used for the 2nd data rows D2 of modulation equally by the fabric of I, Q2 phase with the 2nd sample rate Fin2 output different with the 1st sample rate Fin1.
At this, be made as the 2nd sample rate Fin2 and be lower than the 1st sample rate Fin1(Fin1>Fin2), the 2nd data rows D2 that sample rate is lower is input into the resampling handling part 40 with the resampling processing unit 20 ' same structure of described I, Q2 facies pattern, and the configuration part 41 of the various parameters by being used for setting device comes command speed to compare m/n=Fin1/Fin2.
Thus, from resampling handling part 40 output with the original waveform of I, the Q of data rows D2 respectively with Fin2(m/n) speed, namely the ratio that equates with the sample rate Fin1 of the 1st data rows D1 resamples and the data rows D2 ' by the fabric one-tenth of I, Q2 phase that obtains.
Handle the data rows D2 ' that obtains by this resampling and be input into gain adjustment part 42 with the 1st data rows D1 with same ratio (Fin1), and be limited to be treated to and prevent from overflowing and make both amplitude ratio α/β to become amplitude ratio by configuration part 41 appointments based on the position of add operation, and be input into addition portion 43 with same ratio (Fin1) and carry out add operation.
The data rows Dsum that is become by the fabric of I, Q2 phase as this add operation result is input into binary channels type D/A converter 44 with the 1st sample rate Fin1, and converts the analog signal Asum that the fabric by I, Q2 phase becomes to and be input into quadrature modulator 45.
The I composition of 45 couples of analog signal Asum of quadrature modulator carries out the long-pending ripple that closes of phase shift local signal of 90 degree phase shifts with predetermined amassing with the Q composition and with local signal of local signal, and exports the high-frequency digital modulation signal RFsum that modulates with by the amplitude/phase of mutually orthogonal I, the decision of Q composition.Set the frequency of digital modulation signals RFsum by configuration part 41.
This digital modulation signals RFsum is applied in the modulation corresponding to the add operation result of the 1st data rows D1 and the 2nd data rows D2, by various changes are carried out in the gain with respect to two data rows, can verify that two ripples of the equipment that receives this digital modulation signals RFsum receive action.
The side that 30 pairs of above-mentioned digital modulation signals generation devices desire to carry out 2 data rows of add operation resamples and handles and make its sample rate with the opposing party consistent, but digital modulation signals generation device 30 ' as shown in figure 11, if two groups of resampling handling part 40A, 40B that same structure is set with can be respectively to processings that resample of 2 data rows desiring to carry out add operation, then can make its restriction with respect to the frequency field on the hardware of processing after the D/A converter 44 have the bigger degree of freedom.
For example, the frequency field of allowing in the processing after D/A converter 44 is under the situation of Fa ± Δ F, when the 1st above-mentioned sample rate Fin1 does not enter this frequency field, need carry out rate conversion to two data rows D1, D2.
At this moment, need meet the following conditions about integer m, m ', n, n '.
Fa-ΔF≤Fin1·(m/n)=Fin2·(m’/n’)≤Fa+ΔF
If find to satisfy integer m, m ', n, the n ' of above-mentioned condition, then carry out the resampling processing that speed ratio is m/n at the data rows D1 of resampling handling part 40A, carry out the resampling processing that speed ratio is m '/n ' at the data rows D2 of resampling handling part 40B, can make the sample rate of two data consistent in the frequency field of allowing thus, even the restriction on the hardware is arranged, also can close ripple to the data rows of various sample rates, and can give high versatility.
In addition, in the above-mentioned explanation, (situation of m>n) is illustrated to improving sample rate, but equally also can carry out m<n(and reduce sample rate) resampling handle, at this moment, as long as obtain be used to the filter coefficient that obtains each interpolated data regularly that carries out the m five equilibrium between former data, and the switching filter coefficient gets final product in order to export m interpolated data every each n regularly by the time sequence during n data rows of every input.
For example, initial treatment in the resampling processing unit 20 of Fig. 1 structure when m=4, n=5 is as described shown in the (a) and (b) of Fig. 5, obtain about each interpolated data of Q1~Q3 regularly to carrying out 4 five equilibriums between 2 data, and utilize the 1st filter coefficient h(1,1)~and h(1,8) export initial resampling value Dout(1)=Din(4).
And, because next resampling value is for postponing the timing Q1 ' of 5 Δ T (=n Δ T), therefore the Δ T after importing Data Update as Figure 12 (a) next one is through timing Q1(t=Ts+ Δ T), as Figure 12 (b) by filter coefficient being switched to the 2nd group of filter coefficient h(2,1)~and h(2,8) export the 2nd resampling value Dout(2).Below similarly, during input Data Update 5 times, the switching filter coefficient is in order to export 4 interpolated datas every 5 by the time sequence, carry out speed ratio thus and be 4/5 resampling and handle, and further increase the degree of freedom that data rows makes up by using it for above-mentioned digital modulation signals generation device 30,30 '.

Claims (6)

1. resampling processing unit, it is that the resampling of m/n is handled to carry out speed ratio with the data rows of predetermined sample rate Fin input, and wherein, m, n are integer, it is characterized in that, and this resampling processing unit possesses:
FIR(Finite Impulse Response, finite impulse response (FIR)) type digital filter (21,21A, 21B), it carries out up-to-date P data of the described data rows that is transfused to and P is the multiply-add operation of one group filter coefficient, and its operation result is exported successively;
Filter coefficient means of storage (25), it stores m * P filter coefficient in advance; And
Filter coefficient switching member (26), to select described P successively be one group filter coefficient and give described digital filter with the resampling speed of Finm/n from described filter coefficient means of storage for it, so that it is during a described n data are input into described digital filter, individual about interpolated data regularly by time sequence output m every n.
2. resampling processing unit as claimed in claim 1 is characterized in that,
Being stored in the filter coefficient of described filter coefficient means of storage, is each required filter coefficient of data interpolating in regularly that the m five equilibrium is carried out in the input of the data that are input into described digital filter at interval.
3. digital modulation signals generation device, it has:
The 1st data rows output link (31), it is used for the 1st data rows of modulation with the output of the 1st sample rate;
The 2nd data rows output link (32), it is used for the 2nd data rows of modulation with the 2nd sample rate output different with the 1st sample rate; And
Resampling handling part (40,40A, 40B), it is in order to cooperate described the 1st data rows with the sample rate of the 2nd data rows, and it is that the resampling of m/n is handled that at least one side's data rows is carried out speed ratio, and wherein, m, n are integer,
This digital modulation signals generation device carries out add operation to handling to join with the data rows of sample rate by described resampling, and produces the signal that carries out the numeral modulation by the data rows of this add operation, it is characterized in that described resampling handling part possesses:
FIR(Finite Impulse Response, finite impulse response (FIR)) type digital filter (21,21A, 21B), it carries out individual with up-to-date P data of the data rows of sample rate Fin input and P is the multiply-add operation of one group filter coefficient, and its operation result is exported successively;
Filter coefficient means of storage (25), it stores m * P filter coefficient in advance; And
Filter coefficient switching member (26), to select described P successively be one group filter coefficient and give described digital filter with the resampling speed of Finm/n from described filter coefficient means of storage for it, so that it is during n data are input into described digital filter, individual about interpolated data regularly by time sequence output m every n.
4. digital modulation signals generation device as claimed in claim 3 is characterized in that,
Being stored in the filter coefficient of described filter coefficient means of storage, is each required filter coefficient of data interpolating in regularly that the m five equilibrium is carried out in the input of the data that are input into described digital filter at interval.
5. resampling processing method, it is that the resampling of m/n is handled to carry out speed ratio with the data rows of predetermined sample rate Fin input, and wherein, m, n are integer, it is characterized in that, and this resampling processing method comprises:
Carry out the step of the multiply-add operation of up-to-date P data of the described data rows that is transfused to and P filter coefficient that is a group;
Use the FIR(Finite Impulse Response export its operation result successively, finite impulse response (FIR)) step of type digital filter;
Store the filter coefficient storing step of m * P filter coefficient in advance; And
The described P that selects described storage successively is one group filter coefficient and gives described digital filter with the resampling speed of Finm/n, so that during n data are input into described digital filter, individual by m interpolated data about timing of time sequence output every n, carrying out speed ratio thus is the step of the resampling processing of m/n.
6. resampling processing method as claimed in claim 5 is characterized in that,
The filter coefficient of storing in described filter coefficient storing step is each required filter coefficient of data interpolating in regularly that the m five equilibrium is carried out in the input of the data that are input into described digital filter at interval.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104734668A (en) * 2015-03-31 2015-06-24 中国科学院微电子研究所 Interpolation filter
CN106972840A (en) * 2017-02-28 2017-07-21 深圳市鼎阳科技有限公司 A kind of sampling rate converting method and device
CN108572266A (en) * 2017-12-11 2018-09-25 深圳市鼎阳科技有限公司 A kind of waveshape generating device
CN110335615A (en) * 2019-05-05 2019-10-15 北京字节跳动网络技术有限公司 Processing method, device, electronic equipment and the storage medium of audio data
US11342892B2 (en) 2017-12-27 2022-05-24 Sony Semiconductor Solutions Corporation Amplifier and signal processing circuit

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1259006A2 (en) * 2001-05-18 2002-11-20 SANYO ELECTRIC Co., Ltd. Transmission timing control device, digital roll-off filter and mobile radio terminal for digital radio communication
JP2008113123A (en) * 2006-10-30 2008-05-15 Fujitsu Ten Ltd Sampling conversion device
CN101339610A (en) * 2008-08-13 2009-01-07 哈尔滨工业大学 Particle filtering resampling method suitable for non-linear probabilistic system posture
JP2009232079A (en) * 2008-03-21 2009-10-08 Japan Radio Co Ltd Interpolation filter

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH02149011A (en) * 1988-11-30 1990-06-07 Toshiba Corp Sampling frequency converting device
JP4722266B2 (en) * 2000-08-16 2011-07-13 富士通セミコンダクター株式会社 Oversampling FIR filter, oversampling FIR filter control method, semiconductor integrated circuit having oversampling FIR filter, and communication system for transmitting data filtered by oversampling FIR filter
JP2003051736A (en) * 2001-06-01 2003-02-21 Sanyo Electric Co Ltd Digital roll-off filter and mobile radio terminal employing the same
JP4413697B2 (en) * 2004-07-13 2010-02-10 アンリツ株式会社 Waveform generator
JP4376222B2 (en) * 2005-10-27 2009-12-02 シャープ株式会社 Wave shaping digital filter circuit

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1259006A2 (en) * 2001-05-18 2002-11-20 SANYO ELECTRIC Co., Ltd. Transmission timing control device, digital roll-off filter and mobile radio terminal for digital radio communication
JP2008113123A (en) * 2006-10-30 2008-05-15 Fujitsu Ten Ltd Sampling conversion device
JP2009232079A (en) * 2008-03-21 2009-10-08 Japan Radio Co Ltd Interpolation filter
CN101339610A (en) * 2008-08-13 2009-01-07 哈尔滨工业大学 Particle filtering resampling method suitable for non-linear probabilistic system posture

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104734668A (en) * 2015-03-31 2015-06-24 中国科学院微电子研究所 Interpolation filter
CN104734668B (en) * 2015-03-31 2017-11-07 中国科学院微电子研究所 Interpolation filter
CN106972840A (en) * 2017-02-28 2017-07-21 深圳市鼎阳科技有限公司 A kind of sampling rate converting method and device
CN106972840B (en) * 2017-02-28 2020-05-05 深圳市鼎阳科技股份有限公司 Sampling rate conversion method and device
CN108572266A (en) * 2017-12-11 2018-09-25 深圳市鼎阳科技有限公司 A kind of waveshape generating device
CN108572266B (en) * 2017-12-11 2020-09-15 深圳市鼎阳科技股份有限公司 Waveform generating device
US11342892B2 (en) 2017-12-27 2022-05-24 Sony Semiconductor Solutions Corporation Amplifier and signal processing circuit
CN110335615A (en) * 2019-05-05 2019-10-15 北京字节跳动网络技术有限公司 Processing method, device, electronic equipment and the storage medium of audio data
CN110335615B (en) * 2019-05-05 2021-11-16 北京字节跳动网络技术有限公司 Audio data processing method and device, electronic equipment and storage medium

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