CN103020474A - Cluster model determining method based on cluster statistical distribution model and power spectrum model - Google Patents
Cluster model determining method based on cluster statistical distribution model and power spectrum model Download PDFInfo
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- CN103020474A CN103020474A CN2012105818737A CN201210581873A CN103020474A CN 103020474 A CN103020474 A CN 103020474A CN 2012105818737 A CN2012105818737 A CN 2012105818737A CN 201210581873 A CN201210581873 A CN 201210581873A CN 103020474 A CN103020474 A CN 103020474A
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Abstract
The invention discloses a cluster model determining method based on cluster statistical distribution model and power spectrum model. The method mainly comprises the following steps: 1), data input; 2), selecting the needed amplitude distribution models and power spectrums to generate an oscillogram; and 3), graphic display, data storage and/or data output: displaying an enveloping curve, an amplitude distribution curve and a power spectrum curve of a generated cluster on a software interface through computing. The method can realize four amplitude distributions including Rayleigh distribution, Weibull distribution, logarithm-Gaussian distribution and K distribution respectively, and each distribution can realize three power spectrums including Gaussian spectrum, Cauchy spectrum and cubic spectrum.
Description
Technical field
The present invention relates to Clutter Model and determine method, specifically relate to a kind of method of determining Clutter Model based on clutter statistical distribution pattern and Power Spectrum Model.
Background technology
Noise signal generally comprises the projects such as land clutter, extra large clutter, meteorological clutter.Wherein common amplitude distribution rule comprises that rayleigh distributed, Weibull distribution, log-normal distribution and K distribute, and when low such as radar resolution, clutter amplitude shows as rayleigh distributed.The power spectrum of broadening generally meets Gauss, Cauchy and cube spectrum.Also there is not now a kind of method of well determining Clutter Model based on clutter statistical distribution pattern and Power Spectrum Model.
Summary of the invention
The present invention determines for the user provides a kind of Clutter Model based on 4 kinds of clutter amplitude statistical distribution patterns and 3 kinds of Power Spectrum Models, when this Clutter Model determines that method has solved the correlation computations such as clutter simulation to the problem of calling of algorithm, the use in the convenient various situations.
For achieving the above object, the present invention takes following technical scheme: a kind of Clutter Model based on clutter statistical distribution pattern and Power Spectrum Model is determined method, mainly is divided into following step:
1) data input:
Input the required parameter of various Amplitude Distributed Models and power spectrum, comprise variance, form parameter and bandwidth etc.;
2) select required Amplitude Distributed Model and power spectrum and generate oscillogram, comprising:
1. the generation of Rayleigh Clutter:
Use the AR model to produce relevant Gaussian Clutter, draw the AR model parameter by the Levison recursive algorithm, calculate correlated Gaussian series according to model formation again, obtain at last the clutter output signal of certain-length;
2. the generation of detection against Weibull clutter:
Use the coherent non-gaussian clutter of ZMNL model generation Weibull distribution;
3. the generation of logarithm-normal state clutter:
Iterative computation and smoothing processing power spectrum, clutter sequence generating portion adopts the algorithm of similar Weibull distribution;
4. the generation of K Distribution Clutter:
Power spectrum partly uses the AR model, and the waveform generating portion adopts modulation variable S and ZMNL algorithm, obtains last output waveform;
3) figure shows, data are preserved and/or data output:
Show enveloping curve, amplitude distribution curve and the power spectrum curve that generates clutter by calculating at software interface.And related data preserved and/or transfer out.
The present invention is owing to take above technical scheme, it has the following advantages: 1, the present invention can realize respectively rayleigh distributed, Weibull distribution, log-normal distribution and 4 kinds of amplitude distribution of K distribution, and every kind of distribution all can realize Gaussian spectrum, Cauchy's spectrum, cube 3 kinds of power spectrum of spectrum.This Model Calculating Method is applicable to extensive various clutter application types such as land clutter sea clutter and meteorological clutters.2, can all use C Plus Plus to realize, the pc control procedure of convenience and industry control and so on is used, and also is fit to real-time system and calls.Method of calling is flexible, can use packaged dynamic link library, also can replace at any time as required other modes.3, the length of model output waveform data and various parameter can be adjusted as required, can offer other software demonstration or processing, also can offer simulation hardware equipment.
Description of drawings
Fig. 1 is method flow diagram of the present invention.
Embodiment
Below in conjunction with drawings and Examples the present invention is described in detail.
The present invention is the kind of determining Clutter Model with parameters such as amplitude distribution function and power spectrum, sets up afterwards model and calculates.Wherein the emulation of coherent Gaussian Clutter utilizes Gaussian random process to pass through a linear filter realization, the emulation of coherent non-gaussian clutter is then more complex, generally can be considered the steady complex random process of the broad sense with certain correlativity, common implementation method has two kinds, for based on the method for ZMNL and based on the method for external modulation model.
As shown in Figure 1, the present invention is that a kind of Clutter Model based on clutter statistical distribution pattern and Power Spectrum Model is determined method, mainly is divided into following step:
1) data input:
Input as much as possible required parameter, such as variance, form parameter and bandwidth etc.
2) select required Amplitude Distributed Model and power spectrum and generate oscillogram, comprising:
1. the generation of Rayleigh Clutter:
Use the AR model to produce relevant Gaussian Clutter, draw the AR model parameter by the Levison recursive algorithm, calculate correlated Gaussian series according to model formation again, obtain at last the clutter output signal of certain-length.
2. the generation of detection against Weibull clutter:
Use the coherent non-gaussian clutter of ZMNL model generation Weibull distribution.
3. the generation of logarithm-normal state clutter:
Iterative computation and smoothing processing power spectrum, clutter sequence generating portion adopts the algorithm of similar Weibull distribution.
4. the generation of K Distribution Clutter:
Power spectrum partly uses the AR model, and the waveform generating portion adopts modulation variable S and ZMNL algorithm, obtains last output waveform.
3) figure shows, data are preserved and/or data output:
Show enveloping curve, amplitude distribution curve and the power spectrum curve that generates clutter by calculating at software interface.And related data preserved and/or transfer out.
Claims (2)
1. the Clutter Model based on clutter statistical distribution pattern and Power Spectrum Model is determined method, mainly is divided into following step:
1) data input:
Input the required parameter of various Amplitude Distributed Models and power spectrum;
2) select required Amplitude Distributed Model and power spectrum and generate oscillogram, comprising:
1. the generation of Rayleigh Clutter:
Use the AR model to produce relevant Gaussian Clutter, draw the AR model parameter by the Levison recursive algorithm, calculate correlated Gaussian series according to model formation again, obtain at last the clutter output signal of certain-length;
2. the generation of detection against Weibull clutter:
Use the coherent non-gaussian clutter of ZMNL model generation Weibull distribution;
3. the generation of logarithm-normal state clutter:
Iterative computation and smoothing processing power spectrum, clutter sequence generating portion adopts the algorithm of similar Weibull distribution;
4. the generation of K Distribution Clutter:
Power spectrum partly uses the AR model, and the waveform generating portion adopts modulation variable S and ZMNL algorithm, obtains last output waveform;
3) figure shows, data are preserved and/or data output:
Show enveloping curve, amplitude distribution curve and the power spectrum curve that generates clutter by calculating at software interface.And related data preserved and/or transfer out.
2. the Clutter Model based on clutter statistical distribution pattern and Power Spectrum Model according to claim 1 is determined method, it is characterized in that: the parameter of input comprises variance, form parameter and bandwidth.
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Cited By (3)
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| CN105353371A (en) * | 2015-12-03 | 2016-02-24 | 西安电子科技大学 | AR spectrum extended fractal-based sea surface radar target detection method |
| CN106646403A (en) * | 2016-11-16 | 2017-05-10 | 电子科技大学 | K distributed radar clutter real-time simulation method and system |
| CN112881988A (en) * | 2021-01-11 | 2021-06-01 | 西北工业大学 | Clutter simulation display method in navigation radar simulation training system |
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Cited By (3)
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|---|---|---|---|---|
| CN105353371A (en) * | 2015-12-03 | 2016-02-24 | 西安电子科技大学 | AR spectrum extended fractal-based sea surface radar target detection method |
| CN106646403A (en) * | 2016-11-16 | 2017-05-10 | 电子科技大学 | K distributed radar clutter real-time simulation method and system |
| CN112881988A (en) * | 2021-01-11 | 2021-06-01 | 西北工业大学 | Clutter simulation display method in navigation radar simulation training system |
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