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Filter parameter optimization method based on visible light communication

A technology of visible light communication and optimization method is applied in the field of optimization of filter parameters in polychromatic light communication system to achieve the effect of reducing cross-interference

Active Publication Date: 2015-10-21
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is no relevant research on how to obtain the optimal filter parameters in academia

Method used

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  • Filter parameter optimization method based on visible light communication
  • Filter parameter optimization method based on visible light communication
  • Filter parameter optimization method based on visible light communication

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0081] Embodiment 1: pass band characteristic is the optical filter of rectangle

[0082] (1) The expression for fitting the four-color light source with a Gaussian function is as follows:

[0083] S r (λ)=a 1 exp[-(λ-λ 1 ) 2 / σ 1 2 ]

[0084] S a (λ)=a 2 exp[-(λ-λ 2 ) 2 / σ 2 2 ]

[0085] S g (λ)=a 3 exp[-(λ-λ 3 ) 2 / σ 3 2 ]

[0086] S b (λ)=a 4 exp[-(λ-λ 4 ) 2 / σ 4 2 ]

[0087] The result obtained with the matlab fitting tool is:

[0088] S r(λ)=23.86exp[-(λ-630.5) 2 / 11.6 2 ]

[0089] S a (λ)=7.177exp[-(λ-599) 2 / 11.6 2 ]

[0090] S g (λ)=4.734exp[-(λ-523.7) 2 / 27.38 2 ]

[0091] S b (λ)=28exp[-(λ-453.3) 2 / 14.3 2 ]

[0092] (2) The spectral function of the background light (here it is assumed that the spectral amplitude of the background light is uniform):

[0093] Take S respectively back (λ)=P=0 and S back (λ)=P=0.5mW / nm

[0094] Total noise power at the receiving end (including shot noise, thermal noise, etc.): N t =10mW

...

Embodiment 2

[0118] Embodiment 2: the passband characteristic is the optical filter of Gauss

[0119] (1) The expression for fitting the four-color light source with a Gaussian function is as follows:

[0120] S r (λ)=a 1 exp[-(λ-λ 1 ) 2 / σ 1 2 ]

[0121] S a (λ)=a 2 exp[-(λ-λ 2 ) 2 / σ 2 2 ]

[0122] S g (λ)=a 3 exp[-(λ-λ 3 ) 2 / σ 3 2 ]

[0123] S b (λ)=a 4 exp[-(λ-λ 4 ) 2 / σ 4 2 ]

[0124] The result obtained with the matlab fitting tool is:

[0125] S r (λ)=23.86exp[-(λ-630.5) 2 / 11.6 2 ]

[0126] S a (λ)=7.177exp[-(λ-599) 2 / 11.6 2 ]

[0127] S g (λ)=4.734exp[-(λ-523.7) 2 / 27.38 2 ]

[0128] S b (λ)=28exp[-(λ-453.3) 2 / 14.3 2 ]

[0129] (2) The spectral function of the background light (here it is assumed that the spectral amplitude of the background light is uniform):

[0130] Take S respectively back (λ)=P=0 and S back (λ)=P=0.5mW / nm

[0131] Total noise power at the receiving end (including shot noise, thermal noise, etc.): N t =10mW

...

Embodiment 3

[0160] Example 3: Filters whose passband characteristics are Lorentzian

[0161] (1) The expression of the four-color light source fitted by the Lorentz function is as follows:

[0162] (For the convenience of derivation and calculation, the light source spectrum is fitted with the Lorentz function here, which is acceptable within the allowable range of error.)

[0163] S r (λ)=a 1 / (1+(λ-λ 1 ) 2 / σ 1 2 )

[0164] S a (λ)=a 2 / (1+(λ-λ 2 ) 2 / σ 2 2 )

[0165] S g (λ)=a 3 / (1+(λ-λ 3 ) 2 / σ 3 2 )

[0166] S b (λ)=a 4 / (1+(λ-λ 4 ) 2 / σ 4 2 )

[0167] The result obtained with the matlab fitting tool is:

[0168] S r (λ)=26.56 / (1+(λ-630.9) 2 / 7.507 2 )

[0169] S a (λ)=8.033 / (1+(λ-599.2) 2 / 7.135 2 )

[0170] S g (λ)=5.214 / (1+(λ-523.1) 2 / 17.82 2 )

[0171] S b (λ)=31.36 / (1+(λ-453.1) 2 / 9.132 2 )

[0172] (2) The spectral function of the background light (here it is assumed that the spectral amplitude of the background light is uniform): ...

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Abstract

The invention provides a filter parameter optimization method based on visible light communication, comprising: firstly utilizing a spectrometer to detect the spectrum data of each monochromatic light, and employing a gauss or Lorentzen function for fitting to obtain a spectral fitting function; in dependence on a real system, determining the spectral function of a bias light and the total noise power of a receiving terminal; using the signal to interference ratio of each color light at the receiving terminal as an objective function, and meanwhile determining constraint conditions of filter parameters; first using a signal to interference ratio function to solve the partial derivative of each variable, and setting a partial derivative result to be zero, then fixing a variable, and optimizing another variable under the constraint conditions, and successively performing rounds of iteration to obtain the optimal solution of the filter parameters; and respectively solving objective functions of color lights to obtain the optimal value of parameters of each colored filter. The method is suitable for a plurality of filters, has a fast convergence rate in operation, and can better reduce interference among light colors.

Description

technical field [0001] The invention belongs to the field of visible light communication, and in particular relates to a method for optimizing filter parameters in a polychromatic light communication system. Background technique [0002] With the continuous development of social economy, people's requirements for the quality of life are getting higher and higher. At the same time, the communication field begins to pursue a "green" and "high-speed" communication technology. Visible light communication technology, as an alternative to the above, is gradually becoming a hot spot in the research field. It uses laser devices or LED devices to achieve high-speed information transmission through modulation of light intensity. While ensuring daily work lighting, it also meets people's needs for high-speed information transmission. [0003] At present, there are two ways to form white light in visible light communication. One is to use blue light and phosphor to form white light, an...

Claims

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Application Information

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IPC IPC(8): H04B10/116H04B10/67H04B10/69
Inventor 梁霄葛鹏飞王家恒赵春明
Owner SOUTHEAST UNIV
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