CN105933006A - Single-bit compression sampling method based on time-varying threshold - Google Patents
Single-bit compression sampling method based on time-varying threshold Download PDFInfo
- Publication number
- CN105933006A CN105933006A CN201610483283.9A CN201610483283A CN105933006A CN 105933006 A CN105933006 A CN 105933006A CN 201610483283 A CN201610483283 A CN 201610483283A CN 105933006 A CN105933006 A CN 105933006A
- Authority
- CN
- China
- Prior art keywords
- time
- bit
- thresholding
- varying
- sampling
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M1/00—Analogue/digital conversion; Digital/analogue conversion
- H03M1/12—Analogue/digital converters
- H03M1/124—Sampling or signal conditioning arrangements specially adapted for A/D converters
- H03M1/1245—Details of sampling arrangements or methods
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Compression, Expansion, Code Conversion, And Decoders (AREA)
Abstract
The invention discloses a single-bit compression sampling method based on time-varying threshold. The method is characterized in that high-speed sampling is achieved by using single-bit sampling, accurate estimation of signal amplitudes and related parameters and effective reestablishment of waveform signals are ensured by using a set time-varying threshold mode. According to the method provided by the invention, the limitation that the single-bit sampling is only compared with a zero threshold is overcome, the high sampling rate is achieved under the condition of low cost and lower power consumption, and the purposes of accurate estimation of signal amplitudes and related parameters and effective reestablishment of waveform signals are achieved.
Description
Technical field
The present invention relates to a kind of single-bit compressive sampling method based on time-varying thresholding, be under conditions of low cost, low-power consumption,
Realize high sampling rate, reach signal amplitude and the accurately estimation of other parameter and the purpose effectively rebuild of waveshape signal.Belong to electricity
Sub-information engineering field.
Background technology
Quantized signal is the most important first step in Digital Signal Processing application.High-resolution in signal amplitude of the prior art
Quantization is accurately sampled under this supposed premise based on unlimited.When signal has certain bandwidth, it is necessary at sampling rate and width
One is had to trade off between these parameters of metrization precision, cost and power consumption.At present, common ADC realizes such quantified precision
Very big with sample rate cost, even if in the case of the sampling rate of 2-3 gigabit sample per second, the ADC of Texas Instruments
Charge reaches several thousand dollars.Employing single-bit is sampled, it is contemplated that the ADC cost in the case of producing in enormous quantities can be significantly reduced to number
Dollar.In view of cost and power consumption, many bit A/D C that single-bit ADC is more traditional is easier to meet wanting of high accuracy high sampling rate
Ask.
Compression sampling of the prior art is in order to reach cost-effective purpose, and great majority use the number of samples reducing sampling.
Although this method has a lot of in-depth study in theory, but the rarely seen real application systems being best able to embody its characteristic, especially
It is the successful Application system with fine commercial value.
The extreme performance reducing amplitude quantizing precision is only to represent a sample by single-bit, it is only necessary to comparison signal with
Reference thresholds, then tracer signal is above or below with reference to thresholding.Single-bit sampling allows at low cost, low-power consumption bar
Part is issued to high sample rate.
Document 1 (O.Dabeer and A.Karnik, " Signal parameter estimation using 1-bit dithered
Quantization, " IEEE Transactions on Information Theory, vol.52, pp.5389 5405,
December 2006.) from statistical angle analysis about the problem of single-bit quantification.Document 2 (E.Masry, " The
reconstruction of analog signals from the sign of their noisy samples,”IEEE
Transactions on Information Theory, vol.27, pp.735 745, November 1981.) from reconstruction
This problem of the angle analysis of signal and sampling.Document 3 (M.Yan, Y.Yang, and S.Osher, " Robust 1-bit
compressive sensing using adaptive outlier pursuit,”IEEE Transactions on Signal
Processing, vol.60, pp.3868 3875, April 2012.) single-bit quantification from compression sampling angle analysis.
Document 4 (A.Host-Madsen and P.Handel, " Effects of sampling and quantization on
single-tone frequency estimation,”IEEE Transactions on Signal Processing,vol.48,
Pp.650 662, March 2000.) have studied single-bit quantification from statistic line loss rate angle.Document 5 (Y.Plan and
R.Vershynin,“One-bit compressed sensing by linear programming,”Communications
On Pure and Applied Mathematics, vol.66, pp.1275 1297, August 2013.) show, single
The data that bit compression sampling obtains can be used for effectively estimating the partial parameters of signal by optimization method.But all above this
A little documents are all that only to consider that the situation that signal compares with null value thresholding, do so cannot obtain on unknown signaling amplitude vector accurate
Information, the waveform of signal cannot effectively be rebuild.
Summary of the invention
The present invention is the deficiency for avoiding above-mentioned prior art to exist, and overcomes the limitation that single-bit sampling is only compared with null value thresholding,
Under conditions of low cost, low-power consumption, realize high sampling rate, reach accurately estimation and the waveshape signal of signal amplitude and other parameter
The purpose effectively rebuild, it is provided that a kind of single-bit compressive sampling method based on time-varying thresholding.
The present invention solves that technical problem adopts the following technical scheme that
Present invention single-bit based on time-varying thresholding compressive sampling method, is characterized in using single-bit sampling to realize high-speed sampling,
The time-varying thresholding pattern set is utilized to ensure signal amplitude and the accurately estimation of relevant parameter and effective reconstruction of waveshape signal.
Present invention single-bit based on time-varying thresholding compressive sampling method, its feature lies also in: by input signal and time-varying thresholding electricity
Ordinary mail number obtains sample information by single-bit sampling output；The value of described time-varying threshold level signal and thresholding persistent period by
One group of pseudo noise code is controlled, and according to pseudo-random code sequence, value and the thresholding persistent period of time-varying threshold level can pass through
One group of speed-sensitive switch is achieved, or combining time delay chain by low speed switch is achieved, or uses alternate manner to give reality
Existing.
Present invention single-bit based on time-varying thresholding compressive sampling method, its feature lies also in: the sampling of described single-bit is to utilize list
The ADC of bit quantization precision is achieved, and by the quantified precision of each sample of minimizing to minima individual bit, utilizes single
Comparator realizes high-speed sampling.
Present invention single-bit based on time-varying thresholding compressive sampling method, its feature lies also in: described time-varying thresholding pattern include as
Lower version: threshold value is random between minima and maximum to be randomly selected；Threshold value presents from minima to maximum
Graded；Threshold value presents graded from peak to peak；Threshold value mechanical periodicity from big to small, from small to large week
Phase changes, and size alternate cycle changes, random sequence mechanical periodicity；Thresholding persistent period change at random；Threshold value and thresholding are held
Continuous time adaptive change.
Compared with the prior art, the present invention has the beneficial effect that:
1. the present invention is prone to hardware realization, by reducing the quantified precision of each sample to minima individual bit rather than minimizing
The sample number of middle sampling per second, utilizes single comparator to realize the high-speed sampling under the conditions of low-power consumption, low cost；If will letter
Number compared with time-varying thresholding, changing the value of thresholding according to certain mode, the comparative result of the single-bit obtained just can be one
Signal amplitude and the accurately estimation of other parameter and effective weight of waveshape signal is realized by multi-signal processing method under fixed condition
Build；
2. in the inventive method, time-varying thresholding is to need to be chosen as different changing patteries according to different application.
3. technical solution of the present invention is expected to greatly promote ULTRA-WIDEBAND RADAR detection system in such as mine detection, through-wall detection, agriculture
The application of the many aspects such as the assessment of crop growth monitoring, sleep quality, vital signs monitoring, and frequency spectrum perception, on a large scale with
And there is wide application in the field such as millimeter wave radio communication, millimetre-wave radar, ultra-wideband communications, biomedicine and reading intelligent agriculture
Prospect.
Accompanying drawing explanation
Fig. 1 is the compression sampling ultimate principle of random time-dependent thresholding single-bit；
Fig. 2 is that threshold value is random inside minima and maximum to be randomly selected；
Fig. 3 is that threshold value presents graded from minima to maximum；
Fig. 4 is that threshold value presents graded from peak to peak；
Fig. 5 is threshold value cyclically-varying, from big to small mechanical periodicity, from small to large mechanical periodicity, and size alternate cycle changes,
Random sequence mechanical periodicity；
Fig. 6 is thresholding persistent period change at random；
Detailed description of the invention
Seeing Fig. 1, in the present embodiment, single-bit compressive sampling method based on time-varying thresholding is to use single-bit sampling to realize at a high speed
Sampling, utilizes the time-varying thresholding pattern set to ensure signal amplitude and the accurately estimation of relevant parameter and effective weight of waveshape signal
Build.
As it is shown in figure 1, input signal is obtained sample information with time-varying threshold level signal by single-bit sampling output；Time-varying
Value and the thresholding persistent period of threshold level signal are controlled by one group of pseudo noise code, according to pseudo-random code sequence, time-varying door
Flat value of rationing the power supply and thresholding persistent period can be achieved by one group of speed-sensitive switch, or combine time delay by low speed switch
Chain is achieved, or uses alternate manner to be achieved.
In being embodied as, single-bit sampling is that the ADC utilizing single-bit quantification precision is achieved, by reducing each sample
Quantified precision, to minima individual bit, utilizes single comparator to realize the high-speed sampling under the conditions of low-power consumption, low cost；Time
Become thresholding pattern and include following version: the threshold value shown in Fig. 2 is random between minima and maximum to be randomly selected；
Threshold value shown in Fig. 3 presents graded from minima to maximum；Threshold value shown in Fig. 4 from peak to peak in
Existing graded；Threshold value shown in Fig. 5 a mechanical periodicity from big to small；Threshold value shown in Fig. 5 b mechanical periodicity from small to large；
Threshold value size alternate cycle change shown in Fig. 5 c；Threshold value random sequence mechanical periodicity shown in Fig. 5 d；Shown in Fig. 6
Thresholding persistent period change at random；Can also is that threshold value and the adaptive change of thresholding persistent period.
Traditional single-bit sampling, its signal only compares with null value thresholding, it is impossible to obtain the information in signal amplitude, the most also without
Method effective reconstruction signal waveform, the present invention is converted by the thresholding of known time-varying, can obtain the information in signal amplitude, from
And effective reconstruction of signal waveform can be realized.
Claims (4)
1. a single-bit compressive sampling method based on time-varying thresholding, is characterized in that using single-bit sampling to realize high-speed sampling,
The time-varying thresholding pattern set is utilized to ensure signal amplitude and the accurately estimation of relevant parameter and effective reconstruction of waveshape signal.
Single-bit compressive sampling method based on time-varying thresholding the most according to claim 1, is characterized in that: by input signal
Sample information is obtained by single-bit sampling output with time-varying threshold level signal；The value of described time-varying threshold level signal and door
The limit persistent period is controlled by one group of pseudo noise code, continues according to pseudo-random code sequence, the value of time-varying threshold level and thresholding
Time can be achieved by one group of speed-sensitive switch, or combining time delay chain by low speed switch is achieved, or uses it
Its mode is achieved.
Single-bit compressive sampling method based on time-varying thresholding the most according to claim 1 and 2, is characterized in that: described list
Bit sample is that the ADC utilizing single-bit quantification precision is achieved, by reducing the quantified precision of each sample to minima list
Individual bit, utilizes single comparator to realize high-speed sampling.
Single-bit compressive sampling method based on time-varying thresholding the most according to claim 1, is characterized in that: described time-varying door
Limiting mode includes following version: threshold value is random between minima and maximum to be randomly selected；Threshold value is from minima
Graded is presented to maximum；Threshold value presents graded from peak to peak；Threshold value mechanical periodicity from big to small,
Mechanical periodicity from small to large, size alternate cycle changes, random sequence mechanical periodicity；Thresholding persistent period change at random；Thresholding
Value and the adaptive change of thresholding persistent period.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610483283.9A CN105933006A (en) | 2016-06-24 | 2016-06-24 | Single-bit compression sampling method based on time-varying threshold |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610483283.9A CN105933006A (en) | 2016-06-24 | 2016-06-24 | Single-bit compression sampling method based on time-varying threshold |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105933006A true CN105933006A (en) | 2016-09-07 |
Family
ID=56829753
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610483283.9A Pending CN105933006A (en) | 2016-06-24 | 2016-06-24 | Single-bit compression sampling method based on time-varying threshold |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105933006A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108508438A (en) * | 2018-04-09 | 2018-09-07 | 深圳大学 | A kind of a bit echo data acquisition method and system based on single-frequency time-varying threshold value |
| CN109738885A (en) * | 2019-02-25 | 2019-05-10 | 太原理工大学 | A kind of life detection radar system and method based on random code modulated sinusoid signal |
| CN111077504A (en) * | 2020-01-16 | 2020-04-28 | 深圳大学 | Mixed interference signal generation method, device, equipment and medium |
| CN111538003A (en) * | 2020-04-30 | 2020-08-14 | 南京理工大学 | Single-bit compression sampling synthetic aperture radar imaging method |
| CN116366411A (en) * | 2023-03-28 | 2023-06-30 | 扬州宇安电子科技有限公司 | Multi-bit signal quantization self-adaptive threshold generation and quantization method |
| CN116431991A (en) * | 2023-04-27 | 2023-07-14 | 中国科学技术大学 | Satellite communication radiation source individual identification method based on phase modulation signal feature fusion |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080266163A1 (en) * | 2007-04-30 | 2008-10-30 | Poulton Kenneth D | Analog-to-Digital Converter with Reduced Metastable Errors |
| CN102984711A (en) * | 2012-11-21 | 2013-03-20 | 北京邮电大学 | Multi-user collaborative spectrum sensing method based on single bit compression sensing technology |
-
2016
- 2016-06-24 CN CN201610483283.9A patent/CN105933006A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080266163A1 (en) * | 2007-04-30 | 2008-10-30 | Poulton Kenneth D | Analog-to-Digital Converter with Reduced Metastable Errors |
| CN102984711A (en) * | 2012-11-21 | 2013-03-20 | 北京邮电大学 | Multi-user collaborative spectrum sensing method based on single bit compression sensing technology |
Non-Patent Citations (1)
| Title |
|---|
| JUN FANG等: "Adaptive one-bit quantization for compressed sensing", 《SIGNAL PROCESSING》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108508438A (en) * | 2018-04-09 | 2018-09-07 | 深圳大学 | A kind of a bit echo data acquisition method and system based on single-frequency time-varying threshold value |
| WO2019196371A1 (en) * | 2018-04-09 | 2019-10-17 | 深圳大学 | Single-frequency time-varying threshold-based one-bit echo data acquisition method and system |
| CN108508438B (en) * | 2018-04-09 | 2020-11-24 | 深圳大学 | Single-frequency time-varying threshold-based one-bit echo data acquisition method and system |
| CN109738885A (en) * | 2019-02-25 | 2019-05-10 | 太原理工大学 | A kind of life detection radar system and method based on random code modulated sinusoid signal |
| CN111077504A (en) * | 2020-01-16 | 2020-04-28 | 深圳大学 | Mixed interference signal generation method, device, equipment and medium |
| CN111538003A (en) * | 2020-04-30 | 2020-08-14 | 南京理工大学 | Single-bit compression sampling synthetic aperture radar imaging method |
| CN111538003B (en) * | 2020-04-30 | 2023-12-08 | 南京理工大学 | Single-bit compressed sampling synthetic aperture radar imaging method |
| CN116366411A (en) * | 2023-03-28 | 2023-06-30 | 扬州宇安电子科技有限公司 | Multi-bit signal quantization self-adaptive threshold generation and quantization method |
| CN116366411B (en) * | 2023-03-28 | 2024-03-08 | 扬州宇安电子科技有限公司 | Multi-bit signal quantization self-adaptive threshold generation and quantization method |
| CN116431991A (en) * | 2023-04-27 | 2023-07-14 | 中国科学技术大学 | Satellite communication radiation source individual identification method based on phase modulation signal feature fusion |
| CN116431991B (en) * | 2023-04-27 | 2023-11-28 | 中国科学技术大学 | Satellite communication radiation source individual identification method based on phase modulation signal feature fusion |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105933006A (en) | Single-bit compression sampling method based on time-varying threshold | |
| CN108614252B (en) | Single-bit compressed sensing radar target time delay estimation method based on parameterized sparse representation | |
| CN102288951B (en) | Radar target parameter estimation method based on AIC (automatic information center) compression information acquisition and FBMP (fast Bayesian matching pursuit) | |
| CN102879782A (en) | Compressed sensing synthetic aperture radar (SAR) imaging method based on fractional order fourier transformation | |
| CN103765780A (en) | Interference resistant compressive sampling | |
| Andráš et al. | A time domain reconstruction method of randomly sampled frequency sparse signal | |
| CN103505197A (en) | Neural signal detector | |
| Bi et al. | Adaptive target extraction method in sea clutter based on fractional fourier filtering | |
| Li et al. | Image reconstruction based on the improved compressive sensing algorithm | |
| Luo et al. | Compressive sampling with a successive approximation ADC architecture | |
| Zamani et al. | On the use of compressive sensing (CS) exploiting block sparsity for neural spike recording | |
| CN104883192B (en) | The reconstructing method of non-cooperation ultra-broadband signal based on mixing compression sampling | |
| CN102890268B (en) | Method for lossless compression of radar signal | |
| Guo et al. | Information capacity and sampling ratios for compressed sensing-based SAR imaging | |
| Zhang et al. | Deterministic Ziv-Zakai bound for compressive time delay estimation | |
| Zheng et al. | Weighted ℓ2, 1 minimisation for high resolution range profile with stepped frequency radar | |
| CN108983600B (en) | Mixed domain compression sampling control system and control method thereof | |
| CN104135290A (en) | A method of low power consumption data acquisition and reconstruction based on 1-bit quantization compressed sensing | |
| KR101463062B1 (en) | Signal processing device and method, receiver and apparatus for measuring distance | |
| CN111753975B (en) | Brain-like processing method of natural analog signals oriented to Internet of things | |
| Zhou et al. | Asynchronous compressive sensing in radar systems | |
| Guo et al. | Fast compression algorithm of SAR image based on compressed sensing | |
| Seo et al. | Optimum modulation orders for 1-bit compressively sampled signals in multicarrier transmission | |
| Rubin et al. | A comparison of on-mote lossy compression algorithms for wireless seismic data acquisition | |
| Purnamasari et al. | Sparsity representation of beat signal in weather radar for compressive sampling |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160907 |
|
| RJ01 | Rejection of invention patent application after publication |