CN106126478A - A kind of signal phase arithmetic average error cancelling method - Google Patents

A kind of signal phase arithmetic average error cancelling method Download PDF

Info

Publication number
CN106126478A
CN106126478A CN201610524389.9A CN201610524389A CN106126478A CN 106126478 A CN106126478 A CN 106126478A CN 201610524389 A CN201610524389 A CN 201610524389A CN 106126478 A CN106126478 A CN 106126478A
Authority
CN
China
Prior art keywords
value
arithmetic average
phase
sin
signal
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
Application number
CN201610524389.9A
Other languages
Chinese (zh)
Inventor
王文林
丁健
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Precious Exceedingly High Space Electronic Science And Technology Co Ltd In Chengdu
Original Assignee
Precious Exceedingly High Space Electronic Science And Technology Co Ltd In Chengdu
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Precious Exceedingly High Space Electronic Science And Technology Co Ltd In Chengdu filed Critical Precious Exceedingly High Space Electronic Science And Technology Co Ltd In Chengdu
Priority to CN201610524389.9A priority Critical patent/CN106126478A/en
Publication of CN106126478A publication Critical patent/CN106126478A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/15Correlation function computation including computation of convolution operations

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Computational Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Digital Transmission Methods That Use Modulated Carrier Waves (AREA)
  • Complex Calculations (AREA)

Abstract

The invention discloses a kind of signal phase arithmetic average error cancelling method, comprise the following steps: respectively phase place is asked sin value and cos value;Ask meansigma methods and the arithmetic average of above-mentioned cos value of above-mentioned sin value respectively;Meansigma methods and the arithmetic average of cos value according to sin value seek phase value.

Description

A kind of signal phase arithmetic average error cancelling method
Technical field
The present invention relates to signal processing method field, be specifically related to a kind of signal phase arithmetic average error concealment side Method.
Background technology
In signal processing field, there is the phase information being many times required for obtaining signal.In some Project Realization, as The scope using FPGA to calculate the phase information value that atan (q/i) obtains signal is [-pi ~+pi], and such phase value may go out One saltus step of existing-pi to+pi, some value of result directly calculating arithmetic mean is exactly a wrong result, the most not Some errors can be eliminated by statistical mode.Such as, as shown in Figure 1, it is known that the phase value of vector a is+pi, vector b Phase value is-3/4*Pi, if two values directly are added to average is exactly: (1+(-3/4)) * pi/2=1/8*pi, i.e. C shown in Fig. 1, if the method is used in signal phase value and eliminates in shake, just obtains a wrong result, the error obtained Greatly.
Summary of the invention
The present invention is to solve that above-mentioned technical problem provides a kind of work signal phase arithmetic average error cancelling method.
The present invention is achieved through the following technical solutions:
A kind of signal phase arithmetic average error cancelling method, comprises the following steps:
Respectively phase place is asked sin value and cos value;
Ask meansigma methods and the arithmetic average of above-mentioned cos value of above-mentioned sin value respectively;
Meansigma methods and the arithmetic average of cos value according to sin value seek phase value.
Phase value is converted to triangular domain by the method for this programme, passes through ATAN(q/ after triangular domain finishes arithmetic mean again I) obtaining the arithmetic average of signal phase, it can effectively eliminate error, because SIN function sin and cosine function cos exists Value between [-2pi ~+2pi] is to there is not saltus step continuously.
Also include the processing method to input signal, the treating method comprises acquisition input signal, and to input signal It is normalized pi process by a certain value.
Described a certain value is any value in 25736,25735,25734.
The present invention compared with prior art, at least has such advantages as and beneficial effect:
This programme just phase value is converted to triangular domain, passes through ATAN(q/i after triangular domain finishes arithmetic mean again) obtain letter The arithmetic average of number phase place, it can effectively eliminate error.
Accompanying drawing explanation
Accompanying drawing described herein is used for providing being further appreciated by the embodiment of the present invention, constitutes of the application Point, it is not intended that the restriction to the embodiment of the present invention.In the accompanying drawings:
Fig. 1 is the vectogram of the embodiment of the present invention 1.
Fig. 2 is the simulation result figure of the embodiment of the present invention 2.
Detailed description of the invention
For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with embodiment and accompanying drawing, to this Invention is described in further detail, and the exemplary embodiment of the present invention and explanation thereof are only used for explaining the present invention, do not make For limitation of the invention.
Embodiment 1
As shown in Figure 1, it is known that the phase value of vector a is+pi, the phase value of vector b is-3/4 × Pi.First phase place is taken delta value After average.Cos(pi)=-1, cos (-3/4*pi)=-0.7071, cos value is averaged and is-0.8536;sin (pi)=0, sin(-3/4*pi)=-0.7071, sin value is averaged it is-0.3535.I.e. signal d(-0.8536 ,- 0.3535) phase value, to d is asked to can be obtained by vector a and the arithmetic average of vector b phase value then.
Embodiment 2
Using modesim+Debussy emulation, result is as in figure 2 it is shown, the first row and the second row are input signal, and the third line is PhaseVid signal, fourth line is PhaseDat signal, and fifth line is PhaseDat_cos signal, the 6th behavior PhaseDat_ Sin signal, the 7th behavior PhaseVid_cos_sin signal, the 8th behavior PhaseDat_avage_cos signal, the 9th behavior PhaseDat_avage_sin signal, the tenth behavior PhaseVid_avage signal, the 11st behavior PhaseDat_avage letter Number.In emulation, phase data figure place is 16bit, and wherein 3bit represents integer, i.e. 011.0010010001000=3.141=pi, because of For Binary Zero 110010010001000 equal to decimal scale 25736, so phase place uses 25736 normalization pi in this analogous diagram; The difference of the calculating according to binary marks, it is possible to according to 25735 or 25734 normalization pi.
Amplitude data figure place is 16bit, and wherein 2bit represents integer, i.e. 01.00000000000000=1, because two enter System 0100000000000000 is equal to decimal scale 16384, so amplitude uses 16384 normalization 1 in this analogous diagram.
Input signal phase value is respectively 20000 and-21999 as shown in Figure 2, and input signal phase place is returned by 25736 respectively One change pi, it is known that input signal phase place 20000 be 0.7771*pi ,-21999 be-0.8548*pi, signal phase value in analogous diagram PhaseDat is effective when PhaseVid is high;If it is exactly-999.5 i.e.-0.0388* that signal is directly asked arithmetic mean result Pi, this result is a result for mistake, and error is big.Respectively input phase value is asked range value result that cos obtains for being respectively- 12528 and-14709, equally, range value PhaseDat_cos is effective when PhaseVid_cos_sin is high;Input signal phase Position asks the meansigma methods of the range value of cos for (-12528-14709)/2=-13619, and the range value that input phase value asks sin is Being respectively 10557 and-7214, input signal phase place asks the meansigma methods of the range value of sin to be 1671, finally by mean value calculation Atan(-13619/1671)=24736=0.9661pi, this value is the correct phase of input signal 0.7771pi and-0.8548pi Position average resulting value.
Concrete in signal phase value eliminates shake, utilize the method for this programme can effectively eliminate this error.
Upper described detailed description of the invention, has been carried out the purpose of the present invention, technical scheme and beneficial effect the most in detail Describe in detail bright, be it should be understood that the detailed description of the invention that the foregoing is only the present invention, be not intended to limit the present invention Protection domain, all within the spirit and principles in the present invention, any modification, equivalent substitution and improvement etc. done, should be included in Within protection scope of the present invention.

Claims (3)

1. a signal phase arithmetic average error cancelling method, it is characterised in that comprise the following steps:
Respectively phase place is asked sin value and cos value;
Ask meansigma methods and the arithmetic average of above-mentioned cos value of above-mentioned sin value respectively;
Meansigma methods and the arithmetic average of cos value according to sin value seek phase value.
A kind of signal phase arithmetic average error cancelling method the most according to claim 1, it is characterised in that: also include Processing method to input signal, the treating method comprises acquisition input signal, and returns input signal by a certain value One changes pi process.
A kind of signal phase arithmetic average error cancelling method the most according to claim 2, it is characterised in that: described certain One value is any value in 25736,25735,25734.
CN201610524389.9A 2016-07-06 2016-07-06 A kind of signal phase arithmetic average error cancelling method Pending CN106126478A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610524389.9A CN106126478A (en) 2016-07-06 2016-07-06 A kind of signal phase arithmetic average error cancelling method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610524389.9A CN106126478A (en) 2016-07-06 2016-07-06 A kind of signal phase arithmetic average error cancelling method

Publications (1)

Publication Number Publication Date
CN106126478A true CN106126478A (en) 2016-11-16

Family

ID=57468676

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610524389.9A Pending CN106126478A (en) 2016-07-06 2016-07-06 A kind of signal phase arithmetic average error cancelling method

Country Status (1)

Country Link
CN (1) CN106126478A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109309501A (en) * 2018-09-12 2019-02-05 成都宝通天宇电子科技有限公司 Polycyclic data compression method in high precision

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1691657A (en) * 2004-01-19 2005-11-02 三星电子株式会社 Apparatus and method for carrier acquisition of vestigial sideband (vsb) signal
CN101483624A (en) * 2009-02-10 2009-07-15 东南大学 Compensation apparatus and compensation method for frequency drift in MSK differential detection and demodulation circuit

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1691657A (en) * 2004-01-19 2005-11-02 三星电子株式会社 Apparatus and method for carrier acquisition of vestigial sideband (vsb) signal
CN101483624A (en) * 2009-02-10 2009-07-15 东南大学 Compensation apparatus and compensation method for frequency drift in MSK differential detection and demodulation circuit

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
陈启圣: "对数字信号处理中若干归一化的讨论", 《汉江大学学报》 *
韩月涛等: "相位差矢量平均的干涉仪解模糊方法", 《电子测量与仪器学报》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109309501A (en) * 2018-09-12 2019-02-05 成都宝通天宇电子科技有限公司 Polycyclic data compression method in high precision
CN109309501B (en) * 2018-09-12 2022-04-29 成都宝通天宇电子科技有限公司 High-precision multi-ring data compression method

Similar Documents

Publication Publication Date Title
Kheloufi et al. On LMI conditions to design observer-based controllers for linear systems with parameter uncertainties
Kurek Stability of nonlinear time-varying digital 2-D Fornasini-Marchesini system
Gao et al. Stabilization and H∞ control of two-dimensional Markovian jump systems
WO2018013921A3 (en) Method and architecture for critical systems utilizing multi-centric orthogonal topology and pervasive rules-driven data and control encoding
Zhang et al. Fuzzy unknown input observer-based robust fault estimation design for discrete-time fuzzy systems
Cao et al. Anti-disturbance fault diagnosis for non-Gaussian stochastic distribution systems with multiple disturbances
Zhang et al. Adaptive stabilization of a class of high‐order uncertain nonholonomic systems with unknown control coefficients
CN111427266A (en) Nonlinear system identification method aiming at disturbance
Zhou et al. Almost surely exponential stability of neural networks with Lévy noise and Markovian switching
WO2017090475A1 (en) Information processing system, function creation method, and function creation program
Direk et al. FDM for the integral-differential equation of the hyperbolic type
Zhou et al. Least‐squares‐based iterative identification algorithm for wiener nonlinear systems
CN110543162B (en) Multiple fault identification method for motion control system under strong noise
CN106126478A (en) A kind of signal phase arithmetic average error cancelling method
US20130046866A1 (en) Meter access management system
CN104598381A (en) Positioning method for failure test instance in metamorphic testing
Zemouche et al. Convex optimization based dual gain observer design for Lipschitz nonlinear systems
CN103716234B (en) A kind of method for positioning message memory leak
Abbasi et al. Robust state estimation for a class of uncertain nonlinear systems: Comparison of two approaches
Ramachandran et al. Comparison of arithmetic mean, geometric mean and harmonic mean derivative-based closed Newton Cotes quadrature
CN110210070B (en) River basin water environment ecological safety early warning method and system
Jothilakshmi Effectiveness of the extended Kalman filter through difference equations
CN105245400A (en) SDN (Software Defined Network) service chain application validity detection method
Malavadkar et al. A characterization of n-connected splitting matroids
Wang et al. Robust observer design for lipschitz nonlinear systems using quadratic polynomial constraints

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
RJ01 Rejection of invention patent application after publication

Application publication date: 20161116