CN106230386A - A kind of white Gaussian noise produces circuit and method - Google Patents
A kind of white Gaussian noise produces circuit and method Download PDFInfo
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- CN106230386A CN106230386A CN201610624079.4A CN201610624079A CN106230386A CN 106230386 A CN106230386 A CN 106230386A CN 201610624079 A CN201610624079 A CN 201610624079A CN 106230386 A CN106230386 A CN 106230386A
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- China
- Prior art keywords
- white gaussian
- random number
- gaussian noise
- number signal
- pseudo
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03B—GENERATION OF OSCILLATIONS, DIRECTLY OR BY FREQUENCY-CHANGING, BY CIRCUITS EMPLOYING ACTIVE ELEMENTS WHICH OPERATE IN A NON-SWITCHING MANNER; GENERATION OF NOISE BY SUCH CIRCUITS
- H03B29/00—Generation of noise currents and voltages
Abstract
The invention discloses a kind of white Gaussian noise and produce circuit and method, belong to communication and information technology field, it is desirable to provide a kind of can obtain more stable white Gaussian noise, the white Gaussian noise that can reduce again circuit unit produces circuit and method.Technical key point includes: pseudo-random sequence generator, is used for producing pseudo random number signal；Block isolating circuit, for removing the DC component in pseudo random number signal；Low pass filter, for carrying out low-pass filtering to the pseudo random number signal after removing DC component.
Description
Technical field
The invention belongs to communication and information technology field, a kind of circuit producing white Gaussian noise and side
Method.
Background technology
In electronic information, the generation of white Gaussian noise mainly includes analog-and digital-two kinds of methods, analogy method
It is that the noise utilizing Zener diode to produce in the case of a breakdown amplifies step by step, but this method has the disadvantage that
1) noiseproof feature produced is limited to by the noise characteristic of diode own and amplifier performance；
2) there is the situations such as the temperature drift in analog circuit or change in gain, it is difficult to batch production.
Digital method is to utilize pseudo-random sequence, FIR filter and high-speed digital-analog changer (Digital Analog
Converter, DAC) obtain analog band limit video white Gaussian noise, its typical case realizes framework as shown in Figure 1.It can be seen that
Existing digital noise generator needs first to produce m-sequence pseudo noise code, then utilizes digital FIR filter to process and obtains band limit
White noise Serial No., is converted to analogue signal by digital-to-analog converter by Serial No., filters finally by LC low pass filter
Except useless high fdrequency component, obtain the narrowband Gaussian white noise needed.Although noise maker based on digital method can obtain
Noise that must be more stable, but to there is element more for equipment, high expensive, on a large scale should be unfavorable in all kinds of engineerings
With.
Summary of the invention
In order to solve above-mentioned technical problem, the invention provides and a kind of can obtain more stable white Gaussian noise, again can
The white Gaussian noise reducing circuit unit produces circuit and method.
Circuit in the present invention includes:
Pseudo-random sequence generator, is used for producing pseudo random number signal；
Block isolating circuit, for removing the DC component in pseudo random number signal；
Low pass filter, for carrying out low-pass filtering to the pseudo random number signal after removing DC component.
Preferably, described pseudo-random sequence generator is m-sequence generator.
Preferably, described block isolating circuit is capacitance, and is connected to outfan and the low pass of pseudo-random sequence generator
Between the input of wave filter.
Present invention also offers a kind of white Gaussian noise production method, including:
Step 1: produce a pseudo random number signal；
Step 2: remove the DC component in pseudo random number signal；
Step 3: the pseudo random number signal removing DC component is carried out low-pass filtering.
Preferably, in step 1, m-sequence generator is utilized to produce pseudo random number signal.
Preferably, in step 2, capacitance is utilized to remove the DC component in pseudo random number signal.
In sum, owing to have employed technique scheme, the invention has the beneficial effects as follows:
It is high that the present invention utilizes simulation low-pass filter directly the digital m-sequence after straight to be filtered obtain narrowband video
This white noise, reduces the equipment complexity of digital noise generator, improves portability and the stability of equipment, should in engineering
Noise source cost is significantly reduced in.
Accompanying drawing explanation
Examples of the present invention will be described by way of reference to the accompanying drawings, wherein:
Fig. 1 is digital Gaussian white noise generator circuit theory diagrams of the prior art.
Fig. 2 is the schematic block circuit diagram of one specific embodiment of the present invention.
Fig. 3 is an example of the m-sequence generator that the present invention uses.
Fig. 4 is the white Gaussian noise of present system simulation data.
Fig. 5 is the frequency spectrum of the white Gaussian noise of present system simulation data.
Fig. 6 a is the signal of circuit pseudo-random sequence generator of the present invention output.
Fig. 6 b is the signal of circuit block isolating circuit of the present invention output.
Fig. 6 c is the signal of low pass filter of the present invention output.
Fig. 6 d is the frequency spectrum of the signal of low pass filter of the present invention output.
Detailed description of the invention
All features disclosed in this specification, or disclosed all methods or during step, except mutually exclusive
Feature and/or step beyond, all can combine by any way.
Any feature disclosed in this specification, unless specifically stated otherwise, all can by other equivalence or there is similar purpose
Alternative features is replaced.I.e., unless specifically stated otherwise, an example during each feature is a series of equivalence or similar characteristics
?.
As in figure 2 it is shown, the Typical Digital noise maker that the white Gaussian noise generation circuit that the present invention proposes is given with Fig. 1
Circuit block diagram compare it can be seen that the present invention is not required to FIR filter and high-speed digital-analog changer, the equipment that reduces is complicated
Degree and manufacturing cost, this has important value in actual applications.Noise maker of the present invention includes the pseudorandom being linked in sequence
Sequencer, block isolating circuit and low pass filter.
Wherein, pseudo-random sequence generator specifically can use m-sequence generator to realize.
Build m-sequence generator as follows:
First determine the length of m-sequence, determine the number of shift register according to the length of m-sequence, then by tabling look-up
The feedback factor of each shift register can be obtained, and then obtain the feedback logic of m-sequence generator.Fig. 3 shows the present invention
The schematic block circuit diagram of the m-sequence generator of one embodiment employing.
Block isolating circuit receives the output signal of pseudo-random sequence generator, and filters DC component therein.Concrete, every
Straight circuit is a capacitance, is connected between the outfan of pseudo-random sequence generator and the input of low pass filter.
Low pass filter receives the signal of block isolating circuit output, and filters the most useless high fdrequency component.
Present invention also offers a kind of method producing Gauss strong noise, including:
Step 1: produce a pseudo random number signal；
Step 2: remove the DC component in pseudo random number signal；
Step 3: the pseudo random number signal removing DC component is carried out low-pass filtering.
In order to verify that the present invention can produce white Gaussian noise, the circuit that the present invention is proposed by we carries out MATLAB/
SIMULINK system emulation, and whether the signal checking artificial circuit to export meet the feature of white Gaussian noise.
Simulation process is as follows:
The signal that the digital m-sequence generator built produces is x (n), n=1 ... N, x (n) ∈ { 0,1}.
Remove the DC component in signal, namely x (n) is deducted its averageObtain the signal after straight
Utilize simulation low-pass filter to signal s (n) after straight process, n=1 ..., N is filtered obtaining height
This white noise.
Fig. 4 gives the amplitude statistics rectangular histogram simulating low-pass filter output signal in analogue system, and in figure, curve is
Utilize the Gaussian probability-density function that the average of signal and variance evaluation obtain.Can be seen that the statistics of analogue system output signal
Characteristic matches with Gaussian probability-density function, i.e. the signal of analogue system output obeys Gauss (i.e. normal state) distribution.
Fig. 5 gives the frequency spectrum simulating low-pass filter output signal in analogue system.Can be seen that analogue system exports
Signal be evenly distributed in whole frequency band range, i.e. the output signal of analogue system is white noise.
Meanwhile, we have built the circuit material object that the present invention describes, and in testing circuit, pseudo-random sequence generator is defeated respectively
Go out the output signal that the signal of end, the signal of block isolating circuit outfan and circuit are final.Fig. 6 (a) is that pseudo-random generator is defeated
Go out the time domain waveform of signal；Fig. 6 (b) is the time domain waveform of block isolating circuit output signal；Fig. 6 (c) is low pass filter output letter
Number time domain waveform, that is to say the time domain waveform of white Gaussian noise generation circuit final output signal of the present invention；Fig. 6 (d) is this
The spectrogram that invention white Gaussian noise generation circuit final output signal obtains after frequency domain transform.Can be seen that the present invention is open
The signal that produces in actual application of circuit signal envelope in the time domain also in Gauss distribution, and be distributed uniformly
In whole frequency band range, experiment proves that circuit of the present invention can produce white Gaussian noise of good performance.
To sum up, by above-mentioned emulation and measured result analysis it can be seen that the carried circuit of the present invention and method should in reality
White Gaussian noise of good performance can be produced in, greatly reduce the manufacturing cost of noise maker, it is simple to engineering simultaneously
Large-scale application in practice.
The invention is not limited in aforesaid detailed description of the invention.The present invention expands to any disclose in this manual
New feature or any new combination, and the arbitrary new method that discloses or the step of process or any new combination.
Claims (6)
1. a white Gaussian noise produces circuit, it is characterised in that including:
Pseudo-random sequence generator, is used for producing pseudo random number signal；
Block isolating circuit, for removing the DC component in pseudo random number signal；
Low pass filter, for carrying out low-pass filtering to the pseudo random number signal after removing DC component.
A kind of white Gaussian noise the most according to claim 1 produces circuit, it is characterised in that described pseudo-random sequence occurs
Device is m-sequence generator.
A kind of white Gaussian noise the most according to claim 1 produces circuit, it is characterised in that described block isolating circuit is every directly
Electric capacity, and be connected between the outfan of pseudo-random sequence generator and the input of low pass filter.
4. a white Gaussian noise production method, it is characterised in that including:
Step 1: produce a pseudo random number signal；
Step 2: remove the DC component in pseudo random number signal；
Step 3: the pseudo random number signal removing DC component is carried out low-pass filtering.
A kind of white Gaussian noise production method the most according to claim 4, it is characterised in that in step 1, utilize m-sequence
Generator produces pseudo random number signal.
A kind of white Gaussian noise production method the most according to claim 4, it is characterised in that in step 2, utilizes every straight electricity
Hold and remove the DC component in pseudo random number signal.
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| CN201610624079.4A CN106230386A (en) | 2016-08-02 | 2016-08-02 | A kind of white Gaussian noise produces circuit and method |
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| CN201610624079.4A CN106230386A (en) | 2016-08-02 | 2016-08-02 | A kind of white Gaussian noise produces circuit and method |
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Citations (4)
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|---|---|---|---|---|
| CN1770620A (en) * | 2004-11-04 | 2006-05-10 | 国际商业机器公司 | Wideband gaussian white noise source |
| CN101807880A (en) * | 2009-12-17 | 2010-08-18 | 北京交通大学 | Gaussian white noise generator and implement method thereof |
| CN101888209A (en) * | 2010-07-23 | 2010-11-17 | 上海交通大学 | Gaussian white noise generator based on FPGA (Field Programmable Gate Array) |
| CN103812447A (en) * | 2014-02-18 | 2014-05-21 | 清华大学 | Method and device for generating Gaussian white noise |
-
2016
- 2016-08-02 CN CN201610624079.4A patent/CN106230386A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1770620A (en) * | 2004-11-04 | 2006-05-10 | 国际商业机器公司 | Wideband gaussian white noise source |
| CN101807880A (en) * | 2009-12-17 | 2010-08-18 | 北京交通大学 | Gaussian white noise generator and implement method thereof |
| CN101888209A (en) * | 2010-07-23 | 2010-11-17 | 上海交通大学 | Gaussian white noise generator based on FPGA (Field Programmable Gate Array) |
| CN103812447A (en) * | 2014-02-18 | 2014-05-21 | 清华大学 | Method and device for generating Gaussian white noise |
Non-Patent Citations (1)
| Title |
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| 刘新红: "一种基于包络检测的ASK调制解调电路设计", 《现代电子技术》 * |
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Application publication date: 20161214 |