CN105656552B - The optimization method and device of energy-saving illumination in a kind of indoor visible light communication - Google Patents
The optimization method and device of energy-saving illumination in a kind of indoor visible light communication Download PDFInfo
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- CN105656552B CN105656552B CN201610012046.4A CN201610012046A CN105656552B CN 105656552 B CN105656552 B CN 105656552B CN 201610012046 A CN201610012046 A CN 201610012046A CN 105656552 B CN105656552 B CN 105656552B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B10/00—Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
- H04B10/11—Arrangements specific to free-space transmission, i.e. transmission through air or vacuum
- H04B10/114—Indoor or close-range type systems
- H04B10/116—Visible light communication
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B10/00—Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
- H04B10/50—Transmitters
- H04B10/564—Power control
Abstract
The embodiment of the invention discloses a kind of optimization method and device of energy-saving illumination in indoor visible light communication, first determines each parameter according to device hardware and environmental factor；By each physical parameter therein to should be used as an element of initial solution, and obtain an initial disaggregation；Target parameter carries out p optimality assessments corresponding to each initial solution concentrated to initial solution, obtains p optimality assessed values, carries out immune optimization computing to initial disaggregation further according to p optimality assessed values, obtains optimum results；P optimality assessments are carried out to target parameter corresponding to each solution in optimum results, the corresponding physical parameter in indoor visible light communication system is configured using the minimum solution of p optimality assessed values as optimal solution.Using the embodiment of the present invention, the physical parameter in indoor visible light communication system can be reasonably configured, realizes the optimization to energy-saving illumination.
Description
Technical field
The present invention relates to technical field of visible light communication, energy-saving illumination is excellent in more particularly to a kind of indoor visible light communication
Change method and device.
Background technology
Visible light communication technology turns into the study hotspot of the communications field in recent years.Visible light communication technology utilizes LED
Brilliant flash, information is coupling in LED illumination device, realize and illumination and communication combination, be one emerging
Wireless communication technology, in visible light communication system, light source not only acts as the effect of illumination, while can carry out data transmission,
Compared to traditional technology for radio frequency, it is seen that optical communication technique have energy-saving safe, good confidentiality, do not need frequency spectrum certification,
The advantages that transmission rate is high.
Under normal circumstances, indoors in visible light communication system, there are a variety of configurable physical parameters, including LED transmittings
Power, LED array layout, LED radiation angle and receiver FOV (Field of View).The performance of visible light communication system includes
Two aspects of illumination and communication, wherein, illumination includes indoor plane illumination EjIt is U=min (E with illuminance uniformityj)/average
(Ej), i.e., the ratio between minimal illumination value and average illumination value in receiving plane.Communication includes receiver and Signal to Interference plus Noise Ratio etc..Pass through
The performance of indoor visible light illumination and communication can be optimized by reasonably configuring the physical parameter in above-mentioned VISIBLE LIGHT SYSTEM.
At present, this field of visible light communication is also in research and advanced development indoors, can't reasonably configure
Physical parameter in indoor visible light communication system, the optimization to energy-saving illumination can not be realized.
The content of the invention
The embodiment of the invention discloses a kind of optimization method and device of energy-saving illumination in indoor visible light communication, with reasonable
Configuration indoor visible light communication system in physical parameter, realize the optimization to energy-saving illumination.
In order to achieve the above object, the embodiments of the invention provide a kind of optimization of energy-saving illumination in indoor visible light communication
Method, including step：
S1：The upper and lower of each physical parameter is determined according to device hardware in indoor visible light communication system and environmental factor
Limit, goal-selling parameter and planar illumination threshold value corresponding with goal-selling parameter and Signal to Interference plus Noise Ratio threshold value；The default mesh
Mark parameter includes：Transmission power is spent and minimized to maximum illumination；The physical parameter includes：LED transmission powers, LED battle arrays
Column Layout, LED radiation angle and receiver FOV；
S2：By each physical parameter to should be used as an element of initial solution, and obtain and include default first quantity
The initial disaggregation of initial solution, wherein, the corresponding one group of target parameter of each initial solution that initial solution is concentrated；
S3：Target parameter carries out p-optimality assessments corresponding to each initial solution concentrated to initial solution, obtains each
The p-optimality assessed values of target parameter corresponding to individual initial solution, wherein, p-optimality assessed values are expressed as following
Formula：
In formula, P (x) is that initial solution concentrates the element of each initial solution to be better than other initial solution corresponding elements that initial solution is concentrated
The probability of element, p are default optimization direction controlling value, wherein, p>1 solution have harmony, 0<P≤1, which solves, has lack of uniformity；
S4：According to the p-optimality assessed values of target parameter corresponding to each initial solution, the initial disaggregation is entered
Row immune optimization computing, obtain optimizing disaggregation；
S5：Target parameter corresponding to each solution concentrated for described optimization solution, calculate to obtain and put down corresponding to each solution
Face brightness value and Signal to Interference plus Noise Ratio value, the planar illumination value of acquisition and Signal to Interference plus Noise Ratio value plane corresponding with goal-selling parameter are shone
Degree threshold value and Signal to Interference plus Noise Ratio threshold value are compared respectively, and planar illumination value is in into plane corresponding to the goal-selling parameter shines
Spend outside threshold value, or Signal to Interference plus Noise Ratio value is deleted less than the solution of Signal to Interference plus Noise Ratio threshold value corresponding to goal-selling parameter from the optimization solution concentration
Remove；Optimization disaggregation after completion deletion action is preserved as this optimum results；
S6：According to this optimum results of preservation and the last optimum results preserved, whether this optimum results is determined
Tend towards stability, if it is, exporting this optimum results, perform step S7；Otherwise it is the optimization disaggregation of this optimum results is true
It is set to initial disaggregation, return to step S3；
S7：P-optimality assessments are carried out to target parameter corresponding to each solution in optimum results, by p-
The minimum solution of optimality assessed values configures the corresponding physical parameter in indoor visible light communication system as optimal solution.
Preferably, P (x) described in step S2 is obtained in the following way：
Each initial solution is concentrated to be compared by the method for arranging soon initial solution, and the element calculated in each initial solution is excellent
The probability P (x) of corresponding element in other initial solutions.
Specifically, the step S4 includes：
The initial solution that initial solution is concentrated is arranged according to target parameter p-optimality values ascending order corresponding to initial solution, taken
Preceding second predetermined number initial solution alternatively disaggregation；
The each solution concentrated to the selection solution carries out the 3rd predetermined number time cloning, obtains cloning disaggregation；
The each solution concentrated is solved to clone in an adaptive way and carries out random perturbation, obtains disturbing disaggregation；
After target parameter corresponding to the solution concentrated to disturbance solution carries out p-optimality assessments, according still further to p-
Optimality values ascending order arranges, and takes preceding 4th predetermined number solution as optimization disaggregation.
Preferably, it is described that target parameter corresponding to each solution concentrated is solved to described optimization, calculate and obtain each solution pair
The planar illumination value and Signal to Interference plus Noise Ratio value answered are calculated by below equation：
Wherein, planar illumination calculates according to below equation：
Ej=∑kEkj,
In formula, EjThe planar illumination received by j-th of receiver, EkjIt is to receive light intensity, k=0 by k secondary reflections footpath
When,Direct projection footpath is represented, I (0) is LED emitter central brightness, and φ is radiation angle, and θ is incident
Angle, D are distance of i-th of LED emitter to j-th of receiver, during k ＞ 0,
Integral sign represents integration on the reflecting surface, DRefRepresent the distance between light source and reflecting surface, dARefIt is reflecting surface area
Differential；
Signal to Interference plus Noise Ratio calculates according to below equation：
In formula, SINRjSignal to Interference plus Noise Ratio for j-th of receiver to LED signal, σ2It is noise signal, P(Signal)jIt is useful
Signal,P(ISI)jIt is interference letter
Number, wherein,hijIt is i-th of LED
Transmitter is to the channel impulse response of j-th of receiver, and conv is convolution symbol, and X (t) is transmission signal, and T is reception signal ratio
The special cycle.
Preferably, tend towards stability described in step S6 and judged according to following decision condition：
By the p-optimality assessed values and upper one of target parameter corresponding to each solution in the optimum results of this acquisition
The p-optimality assessed values of target parameter corresponding to corresponding solution are compared in the optimum results of secondary preservation, its p-
The absolute value that optimality assesses value difference is less than predetermined threshold value, then this optimum results tends towards stability.
In order to achieve the above object, the embodiments of the invention provide a kind of optimization of energy-saving illumination in indoor visible light communication
Device, including
Parameter determining module, for determining each thing according to device hardware in indoor visible light communication system and environmental factor
Manage bound, goal-selling parameter and planar illumination threshold value corresponding with goal-selling parameter and the Signal to Interference plus Noise Ratio threshold of parameter
Value；The goal-selling parameter includes：Transmission power is spent and minimized to maximum illumination；The physical parameter includes：LED is sent out
Penetrate power, LED array layout, LED radiation angle and receiver FOV；
Initial disaggregation obtains module, for each physical parameter to should be used as an element of initial solution, and to be wrapped
Initial disaggregation containing default first quantity initial solution, wherein, the corresponding one group of target ginseng of each initial solution that initial solution is concentrated
Amount；
P-optimality evaluation modules, p- is carried out for target parameter corresponding to each initial solution for being concentrated to initial solution
Optimality is assessed, and obtains the p-optimality assessed values of target parameter corresponding to each initial solution, wherein, p-
Optimality assessed values are expressed as following formula：
In formula, P (x) is that initial solution concentrates the element of each initial solution to be better than other initial solution corresponding elements that initial solution is concentrated
The probability of element, p are default optimization direction controlling value, wherein, p>1 solution have harmony, 0<P≤1, which solves, has lack of uniformity；
Immune optimization computing module, the p-optimality for the target parameter according to corresponding to each initial solution are assessed
Value, immune optimization computing is carried out to the initial disaggregation, obtains optimizing disaggregation；
Optimize disaggregation screening module, for solving target parameter corresponding to each solution concentrated to described optimization, calculating obtains
Each planar illumination value corresponding to solution and Signal to Interference plus Noise Ratio value are obtained, by the planar illumination value and Signal to Interference plus Noise Ratio value and goal-selling of acquisition
Planar illumination threshold value corresponding to parameter and Signal to Interference plus Noise Ratio threshold value are compared respectively, and planar illumination value is in into the goal-selling
Corresponding to parameter outside planar illumination threshold value, or Signal to Interference plus Noise Ratio value be less than Signal to Interference plus Noise Ratio threshold value corresponding to goal-selling parameter solution from
The optimization solution, which is concentrated, deletes；Optimization disaggregation after completion deletion action is preserved as this optimum results；
Optimum results output module, the optimum results preserved for this optimum results according to preservation with the last time, really
Whether this fixed optimum results tend towards stability, if it is, exporting this optimum results, trigger optimal solution configuration module；Otherwise
The optimization disaggregation of this optimum results is defined as initial disaggregation, triggers p-optimality evaluation modules；
Optimal solution configuration module, for carrying out p-optimality to target parameter corresponding to each solution in optimum results
Assess, the homologue in indoor visible light communication system is configured using the minimum solution of p-optimality assessed values as optimal solution
Manage parameter.
Preferably, P (x) is obtained in the following way in the p-optimality evaluation modules：
Concentrate each initial solution to be compared by the method for arranging soon solution, and calculate the element in each initial solution and be better than it
The probability P (x) of corresponding element in his initial solution.
Specifically, the immune optimization computing module includes：
Select submodule：For by the initial solution that initial solution is concentrated according to target parameter p- corresponding to initial solution
Optimality values ascending order arranges, and takes preceding second predetermined number initial solution alternatively disaggregation；
Clone submodule：The 3rd predetermined number time cloning is carried out for solving each solution concentrated to the selection, is obtained gram
Grand disaggregation；
Evolution submodule：Random perturbation is carried out for solving each solution concentrated to clone in an adaptive way, is disturbed
Dynamic disaggregation；
Gravity treatment submodule：After target parameter progress p-optimality assessments corresponding to the solution concentrated are solved to disturbance,
Arranged according still further to p-optimality values ascending order, take preceding 4th predetermined number solution as optimization disaggregation.
Preferably, optimize and target ginseng corresponding to each solution concentrated is solved to described optimization described in disaggregation screening module
Amount, calculate planar illumination value and Signal to Interference plus Noise Ratio value corresponding to each solution of acquisition and calculated by below equation：
Wherein, planar illumination calculates according to below equation：
Ej=∑kEkj,
In formula, EjThe planar illumination received by j-th of receiver, EkjIt is to receive light intensity by k secondary reflections footpath, during k=0,Represent direct projection footpath, I (0) is LED emitter central brightness, and φ is radiation angle, and θ is incidence angle, D
It is distance of i-th of LED emitter to j-th of receiver, during k ＞ 0,
Integral sign represents integration on the reflecting surface, DRefRepresent the distance between light source and reflecting surface, dARefIt is reflecting surface area
Differential；
Signal to Interference plus Noise Ratio calculates according to below equation：
In formula, SINRjSignal to Interference plus Noise Ratio for j-th of receiver to LED signal, σ2It is noise signal, P(Sighal)jIt is useful
Signal,P(ISI)jIt is interference letter
Number, wherein,hijIt is i-th of LED
Transmitter is to the channel impulse response of j-th of receiver, and conv is convolution symbol, and X (t) is transmission signal, and T is reception signal ratio
The special cycle.
Preferably, tend towards stability described in optimum results output module and judged according to following decision condition：
By the p-optimality assessed values and upper one of target parameter corresponding to each solution in the optimum results of this acquisition
The p-optimality assessed values of target parameter corresponding to corresponding solution are compared in the optimum results of secondary preservation, its p-
The absolute value that optimality assesses value difference is less than predetermined threshold value, then this optimum results tends towards stability.
In scheme provided in an embodiment of the present invention, first according to device hardware in indoor visible light communication system and environmental factor
Determine bound, goal-selling parameter and planar illumination threshold value corresponding with goal-selling parameter and the letter of each physical parameter
Dry make an uproar compares threshold value；By each physical parameter to should be used as an element of initial solution, and obtain and include default first quantity
The initial disaggregation of initial solution, wherein, the corresponding one group of target parameter of each initial solution that initial solution is concentrated；Initial solution is concentrated every
Target parameter corresponding to individual initial solution carries out p-optimality assessments, p-optimality assessed values is obtained, further according to each
The p-optimality assessed values of target parameter corresponding to initial solution, immune optimization computing is carried out to the initial disaggregation, obtained
Optimize disaggregation；Calculate and obtain planar illumination value and Signal to Interference plus Noise Ratio value corresponding to each solution, planar illumination value is in described default
Corresponding to target parameter outside planar illumination threshold value, or Signal to Interference plus Noise Ratio value is less than Signal to Interference plus Noise Ratio threshold value corresponding to goal-selling parameter
Solution is concentrated from the optimization solution and deleted；The optimum results that optimum results preserve with the last time are contrasted again, judge whether to tie
Shu Youhua exports optimum results；P-optimality assessments are carried out to target parameter corresponding to each solution in optimum results, will
The minimum solution of p-optimality assessed values configures the corresponding physical parameter in indoor visible light communication system as optimal solution.
Therefore, using the embodiment of the present invention, the physical parameter in indoor visible light communication system can be reasonably configured, realizes and energy-conservation is shone
Bright optimization.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 to show for the embodiments of the invention provide a kind of flow of the optimization method of energy-saving illumination in indoor visible light communication
It is intended to；
Fig. 2 is the embodiments of the invention provide another flow of the optimization method of energy-saving illumination in indoor visible light communication
Schematic diagram；
Fig. 3 to show for the embodiments of the invention provide a kind of structure of the optimization device of energy-saving illumination in indoor visible light communication
It is intended to；
Fig. 4 is that the embodiments of the invention provide another structure of the optimization device of energy-saving illumination in indoor visible light communication
Schematic diagram.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made
Embodiment, belong to the scope of protection of the invention.
In scheme provided in an embodiment of the present invention, first according to device hardware in indoor visible light communication system and environmental factor
Determine bound, goal-selling parameter and planar illumination threshold value corresponding with goal-selling parameter and the letter of each physical parameter
Dry make an uproar compares threshold value；By each physical parameter to should be used as an element of initial solution, and obtain and include default first quantity
The initial disaggregation of initial solution, wherein, the corresponding one group of target parameter of each initial solution that initial solution is concentrated；Initial solution is concentrated every
Target parameter corresponding to individual initial solution carries out p-optimality assessments, p-optimality assessed values is obtained, further according to each
The p-optimality assessed values of target parameter corresponding to initial solution, immune optimization computing is carried out to the initial disaggregation, obtained
Optimize disaggregation；Calculate and obtain planar illumination value and Signal to Interference plus Noise Ratio value corresponding to each solution, planar illumination value is in described default
Corresponding to target parameter outside planar illumination threshold value, or Signal to Interference plus Noise Ratio value is less than Signal to Interference plus Noise Ratio threshold value corresponding to goal-selling parameter
Solution is concentrated from the optimization solution and deleted；The optimum results that optimum results preserve with the last time are contrasted again, judge whether to tie
Shu Youhua exports optimum results；P-optimality assessments are carried out to target parameter corresponding to each solution in optimum results, will
The minimum solution of p-optimality assessed values configures the corresponding physical parameter in indoor visible light communication system as optimal solution.
Below by specific embodiment, the present invention will be described in detail.
Fig. 1 to show for the embodiments of the invention provide a kind of flow of the optimization method of energy-saving illumination in indoor visible light communication
It is intended to, the flow includes：
Step S1：The upper of each physical parameter is determined according to device hardware in indoor visible light communication system and environmental factor
Lower limit, goal-selling parameter and planar illumination threshold value corresponding with goal-selling parameter and Signal to Interference plus Noise Ratio threshold value；
It will be appreciated by persons skilled in the art that LED is light emitting diode abbreviation, by containing gallium (Ga), arsenic (As), phosphorus
(P), the compound of nitrogen (N) etc. is made.Visible ray can be given off when electronics and hole-recombination, thus can be used for that LED is made.
GaAs LED glows, gallium phosphide LED green lights, carborundum LED Yellow light-emitting low temperatures, gallium nitride based LED blue light-emitting.With incandescent lamp bulb and
Neon lamp is compared, and LED has operating voltage low；Operating current very little；Shock resistance and anti-seismic performance are good, and reliability is high, long lifespan；It is logical
The electric current power that ovennodulation passes through can easily modulate luminous power.Due to there is these features, LED is in some photo-electric controls
It is used as light source in equipment, is used as Signal Monitor in many electronic equipments.
The embodiment of the present invention is exactly the light emitting source using LED as indoor visible light, it is to be understood that visible ray indoors
In communication system, there are a variety of configurable physical parameters, including LED transmission powers, LED array layout, LED radiation angle and reception
Device FOV (angle of visual field Field of View).LED transmission powers, LED radiation angle, receiver FOV parameters by equipment hardware
Parameter and ambient light together decide on, generally, in the excursion of device hardware parameter, the brighter LED's of ambient light
Transmission power is with regard to smaller.LED array layout is then set according to the space structure of interior.
Such as：In length × width × height=5 × 5 × 3m room, indoor ceiling, wall, ground reflection coefficent difference
For：0.8,0.5,0.2.I signal projector (i.e. LED light group) is uniformly distributed in ceiling, and LED light group spacing is d, launches work(
Rate is Pi, radiation angle Zi.J signal receiver is uniformly distributed in the horizontal plane that height is 0.85m, has identical FOV, then
LED light group spacing can be set as d, transmission power Pi, radiation angle Zi, receiver FOV parameters span difference 0.5m≤
D≤1.5m, 1.6W≤Pi≤ 22.1W, 0deg≤Zi≤ 50deg, 30deg≤FOV≤80deg.
Step S2：Each physical parameter is included into default first number to should be used as an element of initial solution, and obtain
The initial disaggregation of amount initial solution, wherein, the corresponding one group of target parameter of each initial solution that initial solution is concentrated；
It is d, transmission power P by LED light group spacingi, radiation angle Zi, receiver FOV parameters are as pair in initial solution
Element is answered, such as x={ d, Pi, Zi, FOV }；In LED light group spacing d, transmission power Pi, radiation angle Zi, receiver FOV parameters are correspondingly
Span in random value, produce an initial disaggregation for including default first quantity initial solution, such as：Produce 100
The disaggregation of individual initial solution, 25 values can be averagely taken in LED light group spacing d parameter spans, in transmission power PiParameter
25 values, radiation angle Z are averagely taken in spani25 values, receiver FOV parameter value models are averagely taken in parameter span
Enclose it is interior averagely take 25 values, here, initial solution number that the embodiment of the present invention includes to initial disaggregation and obtain initial disaggregation
Method do not provide, it is emphasized that initial solution corresponding to all LED light sources must be included in gained initial solution.
Step S3：Target parameter carries out p-optimality assessments corresponding to each initial solution concentrated to initial solution, obtains
To the p-optimality assessed values of target parameter corresponding to each initial solution, wherein, p-optimality assessed values are expressed as
Following formula：
In formula, P (x) is that initial solution concentrates the element of each initial solution to be better than other initial solution corresponding elements that initial solution is concentrated
The probability of element, p are default optimization direction controlling value, wherein, p>1 solution have harmony, 0<P≤1, which solves, has lack of uniformity；p-
Optimality assessed values are smaller, and solution corresponding to the target parameter is more excellent.
P (x) is that initial solution concentrates the element of each initial solution better than other initial solution corresponding elements that initial solution is concentrated
Probability, P (x) calculating is by first concentrating each initial solution to be compared by the method for arranging soon initial solution, then finding out each
Element in initial solution is better than the probability of corresponding element in other initial solutions.Such as：Obtained in the range of each physical parameter
One includes 4 initial solutions { 1.2,16,30,55 }, { 1.2,12,35,45 }, { 1.2,18,33,53 }, { 1.2,6,40,51 }
Initial disaggregation, by transmission power PiQuicksort can obtain：
4th initial solution { 1.2,6,40,51 }
2nd initial solution { 1.2,12,35,45 }
1st initial solution { 1.2,16,30,55 }
3rd initial solution { 1.2,18,33,53 }
Then P (p1)=1/3, P (p2)=2/3, P (p3)=0, P (p4)=1, likewise, in this way can be to other
Physical parameter arranged soon, obtain the probability P that each physical parameter in homographic solution is better than corresponding physical parameter in other solutions
(x)。
Step S4：According to the p-optimality assessed values of target parameter corresponding to each initial solution, to the initial solution
Collection carries out immune optimization computing, obtains optimizing disaggregation；
According to the p-optimality assessed values of target parameter corresponding to each initial solution obtained in S3, pass sequentially through and exempt from
Selection opertor in epidemic disease optimization computing, Clone cells, evolutionary operator and gravity treatment operator carry out immune optimization to initial disaggregation, can obtained
To optimization disaggregation.
Step S5：Target parameter corresponding to each solution concentrated for described optimization solution, it is corresponding to calculate each solution of acquisition
Planar illumination value and Signal to Interference plus Noise Ratio value, the planar illumination value of acquisition and Signal to Interference plus Noise Ratio value is corresponding with goal-selling parameter flat
Face illumination threshold and Signal to Interference plus Noise Ratio threshold value are compared respectively, and planar illumination value is in corresponding to the goal-selling parameter and put down
Outside the illumination threshold of face, or Signal to Interference plus Noise Ratio value is less than the solution of Signal to Interference plus Noise Ratio threshold value corresponding to goal-selling parameter from the optimization disaggregation
Middle deletion；Optimization disaggregation after completion deletion action is preserved as this optimum results；
It will be appreciated by persons skilled in the art that indoors in visible light communication system, whether evaluation indoor visible light
Meet that the planar illumination bound and Signal to Interference plus Noise Ratio threshold value that are typically required according to International Organization for standardization of lighting requirement are done and sentenced
Disconnected, in order to obtain illumination requirement during with being used close to actual environment, the embodiment of the present invention is using and with goal-selling parameter pair
The planar illumination threshold value and Signal to Interference plus Noise Ratio threshold value answered are as reference standard.
It is appreciated that the planar illumination and Signal to Interference plus Noise Ratio of receiver can pass through each physical parameter in visible light communication technology
It is calculated, wherein, planar illumination calculates according to below equation：
Ej=∑kEkj,
In formula, EjThe planar illumination received by j-th of receiver, EkjIt is to receive light intensity by k secondary reflections footpath, during k=0,Direct projection footpath is represented, I (0) is LED emitter central brightness, and φ is radiation angle, and θ is incident
Angle, D are distance of i-th of LED emitter to j-th of receiver, during k ＞ 0,
Integral sign represents integration on the reflecting surface, DRefRepresent the distance between light source and reflecting surface, dARefIt is reflecting surface area
Differential；
Signal to Interference plus Noise Ratio calculates according to below equation：
In formula, SINRjSignal to Interference plus Noise Ratio for j-th of receiver to LED signal, σ2It is noise signal, P(Signal)jIt is useful
Signal,P(ISI)jIt is interference letter
Number, wherein,hijIt is i-th of LED
Transmitter is to the channel impulse response of j-th of receiver, and conv is convolution symbol, and X (t) is transmission signal, and T is reception signal ratio
The special cycle.
Calculate and obtain planar illumination value and Signal to Interference plus Noise Ratio value corresponding to each solution, by the planar illumination value of acquisition and believe dry make an uproar
Ratio and planar illumination threshold value corresponding to goal-selling parameter and Signal to Interference plus Noise Ratio threshold value respectively compared with, at planar illumination value
In corresponding to the goal-selling parameter outside planar illumination threshold value, or to be less than letter corresponding to goal-selling parameter dry for Signal to Interference plus Noise Ratio value
The solution made an uproar than threshold value is concentrated from the optimization solution and deleted；Optimization disaggregation after completion deletion action is protected as this optimum results
Deposit；
Step S6：According to this optimum results of preservation and the last optimum results preserved, this optimum results is determined
Whether tend towards stability, if it is, exporting this optimum results, perform step S7；Otherwise by the optimization solution of this optimum results
Collection is defined as initial disaggregation, return to step S3；
It is appreciated that to whether optimum results are that optimal optimum results judge when, it will usually have one
Reference result compares with it.In the embodiment of the present invention during being optimized to initial solution, by the circulation more than 1 time,
The reference result that the optimum results that last time is preserved compare as this optimum results.Will be every in the optimum results of this acquisition
The p-optimality assessed values of target parameter corresponding to individual solution mesh corresponding with homographic solution in the optimum results that the last time preserves
The p-optimality assessed values of mark parameter are compared, if the p-optimalitay of the two assesses the absolute value very little of value difference,
It is believed that this optimum results are stable.Rephrase the statement when being exactly that optimum results tend towards stability, it may be determined that this optimization
As a result it is optimal solution set.
It is the p- by target parameter corresponding to each solution in the optimum results that obtain this in the present embodiment
The p-optimality of optimality assessed values target parameter corresponding with homographic solution in the optimum results that the last time preserves is commented
Valuation is compared, if the absolute value that the p-optimality of the two assesses value difference is less than predetermined threshold value, such as 0.01, then and this suboptimum
Change result to tend towards stability, it may be determined that this result is exactly optimal optimum results, and optimum results are exported；If the p- of the two
The absolute value that optimality assesses value difference is more than or equal to predetermined threshold value, and such as 0.01, then this optimum results, need to also without stabilization
Returned to this optimum results as initial solution again to the suboptimization result loop optimization in S3, until meeting to tend to
Optimum results are exported just now during the decision condition of stabilization.
Step S7：P-optimality assessments are carried out to target parameter corresponding to each solution in optimum results, by p-
The maximum solution of optimality assessed values configures the corresponding physical parameter in indoor visible light communication system as optimal solution.
A p-optimality is carried out to target parameter corresponding to each optimization solution in the optimum results of output to assess,
Then the p-optimality assessed values of target parameter corresponding to each optimization solution are ranked up, obtain the p- in optimum results
The minimum optimization solution of optimality assessed values is as optimal solution, using physical parameter corresponding to the optimal solution each element as most
Whole each value of consult volume reconfigures corresponding physical parameter value in indoor visible light colleague.
Using the embodiment of the present invention, target parameter corresponding to each initial solution is concentrated to carry out p-optimality to initial solution
Assess, the quality of target parameter is intuitively shown as into the size of p-optimality assessed values, p-optimality assessed values
Smaller, solution is more excellent corresponding to target parameter.Initial disaggregation is optimized repeatedly by immune optimization computing, tended towards stability most
Excellent disaggregation, physical parameter corresponding to the optimal solution for ensureing to obtain is physical parameter optimal in actual environment, realizes and energy-conservation is shone
Bright optimization.
Fig. 2 is the embodiments of the invention provide another flow of the optimization method of energy-saving illumination in indoor visible light communication
Schematic diagram, compared with embodiment illustrated in fig. 1, in the present embodiment, according to the p- of target parameter corresponding to each initial solution
Optimality assessed values, immune optimization computing is carried out to the initial disaggregation, obtain optimizing disaggregation, i.e. step S4, including：
Step S4.1 rises the initial solution that initial solution is concentrated according to target parameter p-optimality values corresponding to initial solution
Sequence arranges, and takes preceding second predetermined number initial solution alternatively disaggregation.
This step is exactly the step of performing selection opertor.
By initial solution concentrate initial solution corresponding to target parameter according to p-optimality values according to numeric ratio compared with side
Method completes ascending order arrangement, is exactly that two values compare size in simple terms, and the small person of numerical value compares repeatedly before being placed on, and ensures institute
It is according to the ascending sequence of numerical value to obtain sequence.For example, it is assumed that initial solution, which is concentrated, shares 4 initial solutions, it is excellent that it corresponds to some
The p-optimality values for changing target parameter are respectively { 0.82,0.84,0.87,0.83 }, then its sequencer procedure is：First with
Second bit comparison 0.82<0.84, order is constant, i.e., { 0.82,0.84,0.87,0.83 }, first and the 3rd bit comparison 0.82<
0.87, order is constant, i.e., { 0.82,0.84,0.87,0.83 }, first and the 4th bit comparison 0.82<0.83, order is constant, i.e.,
{ 0.82,0.84,0.87,0.83 }, first with can determine that the first place value for minimum after three bit comparisons below.According to this rule according to
It is secondary to there is second to be obtained { 0.82,0.83,0.87,0.84 } with two bit comparisons below.3rd can obtain with the 4th bit comparison
{ 0.82,0.83,0.84,0.87 }, complete the ascending sequence of numerical value.Certainly, sort method of the invention is not limited to
This, can also use other sort methods.
The initial alternatively disaggregation that initial solution concentrates initial solution p-optimality values to come front two is chosen, here,
Because initial solution concentrates the difference of initial solution number, so selection solution concentrates the number of solution also can be different, the present invention is not to the number
Value is clearly defined.
Step S4.2 solves each solution concentrated to the selection and carries out the 3rd predetermined number time cloning, obtains cloning disaggregation.
This step is exactly the step of performing Clone cells.
In practical application, it is assumed that selection solution is concentrated with 4 solutions, and all solutions concentrated are solved to selection and are cloned 8 times, can be wrapped
Clone's disaggregation containing 32 solutions, the present invention are not defined to the number of clone, and the numerical value can be adjusted according to actual requirement.
Step S4.3 solves each solution concentrated to clone and carries out random perturbation in an adaptive way, obtains disturbing disaggregation.
This step is exactly the step of performing evolutionary operator.
It is understandable to be, adaptively refer to during handling and analyzing, adjusted automatically according to the data characteristics of processing data
Whole processing method, processing sequence, processing parameter, boundary condition or constraints, make its statistical Boot with handled data
Sign, architectural feature are adapted, to obtain optimal treatment effect.
Assuming that：Solve to concentrate in clone and choose 2 solutions, be respectively：{ d, P1, Z1, FOV }, { d, P2, Z2, FOV }, then to gram
Grand solution concentrates each physical parameter of each solution to carry out random perturbation according to following rule, first random to generate one between [0,1]
Individual random number x, by this random number x and e-1/p-optimality(x)Compare, if random number x<e-1/p-optimality(x), then take to should
Random number in physical parameter span replaces present physical value of consult volume, and using the solution after replacing as entering to dissolve, wherein
The p-optimality assessed values of target parameter corresponding to solution are smaller, Xie Yueyou, physical parameter in the solution disturbed general
Rate is smaller；The p-optimality assessed values of target parameter corresponding to solution are bigger, and solution is more bad, and physical parameter in the solution is disturbed
Dynamic probability is bigger.
Such as：Corresponding physical parameter in each solution can be obtained during actual use, any two solutions of selection are concentrated in clone's solution,
Respectively { 1.2,16,30,55 }, { 1.2,12,35,45 }, by concentrating target parameter corresponding to each solution to carry out clone's solution
The p-optimality assessed values that p-optimality assesses to obtain target parameter corresponding to each solution are respectively：0.4,0.6, it is existing
Concentrate first solution chosen to disturb clone's solution, understand for convenience here, only to LED transmission powers PiDisturbed
It is dynamic, it is assumed that the random random number that generated between [0,1] is 0.01, can be calculated 0.01<e-1/0.4, then can 1.6W≤
PiOne number of selection random≤22.1W, such as 15.2, after 15.2 replacement original physical values of consult volume 16 are replaced solution 1.2,
15.2,30,55 }.Second solution chosen is concentrated to disturb clone's solution, it is assumed that random generates one between [0,1]
Individual random number is 0.1, can be calculated 0.1<e-1/0.6, then can be in 1.6W≤PiOne number of selection random≤22.1W, such as 8.6,
Solution { 1.2,8.6,35,45 } after 8.6 replacement original physical values of consult volume 12 are replaced.Solution can be concentrated according to this rule each
One or more physical parameters of solution are disturbed, and obtain disturbance disaggregation.
After step S4.4 solves target parameter progress p-optimality assessments corresponding to the solution concentrated to disturbance, according still further to p-
Optimality values ascending order arranges, and takes preceding 4th predetermined number solution as optimization disaggregation.
This step is exactly the step of performing gravity treatment operator.
In practical application, target parameter progress p-optimality corresponding to each solution concentrated need to be solved to disturbance again and is commented
Estimate, obtain optimization solution and concentrate the p-optimality assessed values of target parameter corresponding to each solution, then mesh corresponding to each solving
The p-optimality assessed values of parameter are marked according to sorting from small to large, takes and is solved corresponding to preceding 4 p-optimality assessed values
Optimize disaggregation the most.Disturbance solution concentrates the number of solution different during due to actual operation, so optimization solution concentrates the number of solution also can
Difference, the present invention do not clearly define to the numerical value.
Using the embodiment of the present invention, selection disaggregation is preferably obtained to initial disaggregation, Immune Clone Selection disaggregation is multiple, comprising
The clone's disaggregation largely solved, by the adaptive disturbance to cloning disaggregation, one or more physical parameters in random change solution,
The evolution disaggregation for making to obtain meets optimization direction diversity, the real various interference reflected in actual illumination environment, optimization
Disaggregation afterwards has preferable anti-interference.
Fig. 3 to show for the embodiments of the invention provide a kind of structure of the optimization device of energy-saving illumination in indoor visible light communication
It is intended to, it is corresponding with the method flow diagram shown in Fig. 1, including parameter determining module 1, initial disaggregation acquisition module 2, p-
Optimality evaluation modules 3, immune optimization computing module 4, optimization disaggregation screening module 5, optimum results output module 6, most
Excellent solution configuration module 7.
Wherein, parameter determining module 1, for according to device hardware in indoor visible light communication system and environmental factor determination
Bound, goal-selling parameter and the planar illumination threshold value corresponding with goal-selling parameter of each physical parameter and letter is dry makes an uproar
Compare threshold value；The goal-selling parameter includes：Transmission power is spent and minimized to maximum illumination；The physical parameter includes：
LED transmission powers, LED array layout, LED radiation angle and receiver FOV；
Initial solution obtains module 2, for each physical parameter to should be used as an element of initial solution, and to be included
There is the initial disaggregation of default first quantity initial solution, wherein, the corresponding one group of target parameter of each initial solution that initial solution is concentrated；
P-optimality evaluation modules 3, carried out for target parameter corresponding to each initial solution for being concentrated to initial solution
P-optimality is assessed, and obtains the p-optimality assessed values of target parameter corresponding to each initial solution, wherein, p-
Optimality assessed values are expressed as following formula：
In formula, P (x) is that initial solution concentrates the element of each initial solution to be better than other initial solution corresponding elements that initial solution is concentrated
The probability of element, p are default optimization direction controlling value, wherein, p>1 solution have harmony, 0<P≤1, which solves, has lack of uniformity；
Immune optimization computing module 4, the p-optimality for the target parameter according to corresponding to each initial solution are assessed
Value, immune optimization computing is carried out to the initial disaggregation, obtains optimizing disaggregation；
Optimize disaggregation screening module 5, for solving target parameter corresponding to each solution concentrated to described optimization, calculating obtains
Each planar illumination value corresponding to solution and Signal to Interference plus Noise Ratio value are obtained, by the planar illumination value and Signal to Interference plus Noise Ratio value and goal-selling of acquisition
Planar illumination threshold value corresponding to parameter and Signal to Interference plus Noise Ratio threshold value are compared respectively, and planar illumination value is in into the goal-selling
Corresponding to parameter outside planar illumination threshold value, or Signal to Interference plus Noise Ratio value be less than Signal to Interference plus Noise Ratio threshold value corresponding to goal-selling parameter solution from
The optimization solution, which is concentrated, deletes；Optimization disaggregation after completion deletion action is preserved as this optimum results；
Optimum results output module 6, the optimum results preserved for this optimum results according to preservation with the last time, really
Whether this fixed optimum results tend towards stability, if it is, exporting this optimum results, trigger optimal solution configuration module；Otherwise
The optimization disaggregation of this optimum results is defined as initial disaggregation, triggers p-optimality evaluation modules；
Optimal solution configuration module 7, for carrying out p- to target parameter corresponding to each solution in optimum results
Optimality is assessed, and indoor visible light communication system is configured using the minimum solution of p-optimality assessed values as optimal solution
In corresponding physical parameter.
Using the embodiment of the present invention, concentrate target parameter corresponding to initial solution to carry out p-optimality to initial solution and comment
Estimate, the quality of target parameter is intuitively shown as into the size of p-optimality assessed values, p-optimality assessed values are got over
Small, target parameter is more excellent.Initial disaggregation is optimized repeatedly by immune optimization computing, the optimal solution set to be tended towards stability, protected
It is physical parameter optimal in actual environment to demonstrate,prove physical parameter corresponding to the optimal solution obtained, realizes the optimization to energy-saving illumination.
Fig. 4 is that the embodiments of the invention provide another structure of the optimization device of energy-saving illumination in indoor visible light communication
Schematic diagram, compared with Fig. 3 embodiments, in the present embodiment, immune optimization computing module 4, including：
Select submodule 4.1, for by the initial solution that initial solution is concentrated according to target parameter p- corresponding to initial solution
Optimality values ascending order arranges, and takes preceding second predetermined number initial solution alternatively disaggregation.
Submodule 4.2 is cloned, the 3rd predetermined number time cloning is carried out for solving each solution concentrated to the selection, obtains
Clone disaggregation.
Evolution submodule 4.3, random perturbation is carried out for solving each solution concentrated to clone in an adaptive way, is obtained
Disturb disaggregation.
Gravity treatment submodule 4.4, p-optimality assessments are carried out for solving target parameter corresponding to the solution concentrated to disturbance
Afterwards, arranged according still further to p-optimality values ascending order, take preceding 4th predetermined number solution as optimization disaggregation.
Using the embodiment of the present invention, selection disaggregation is preferably obtained to initial disaggregation, Immune Clone Selection disaggregation is multiple, comprising
The clone's disaggregation largely solved, by the adaptive disturbance to cloning disaggregation, one or more physical parameters in random change solution,
The evolution disaggregation for making to obtain meets optimization direction diversity, the real various interference reflected in actual illumination environment, optimization
Disaggregation afterwards has preferable anti-interference.
For device embodiment, because it is substantially similar to embodiment of the method, so description is fairly simple, it is related
Part refers to the corresponding part explanation in embodiment of the method.
It should be noted that herein, such as first and second or the like relational terms are used merely to a reality
Body or operation make a distinction with another entity or operation, and not necessarily require or imply and deposited between these entities or operation
In any this actual relation or order.Moreover, term " comprising ", "comprising" or its any other variant are intended to
Nonexcludability includes, so that process, method, article or equipment including a series of elements not only will including those
Element, but also the other element including being not expressly set out, or it is this process, method, article or equipment also to include
Intrinsic key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that
Other identical element also be present in process, method, article or equipment including the key element.
Each embodiment in this specification is described by the way of related, identical similar portion between each embodiment
Divide mutually referring to what each embodiment stressed is the difference with other embodiment.It is real especially for device
For applying example, because it is substantially similar to embodiment of the method, so description is fairly simple, related part is referring to embodiment of the method
Part explanation.
Can one of ordinary skill in the art will appreciate that realizing that all or part of step in above method embodiment is
To instruct the hardware of correlation to complete by program, described program can be stored in computer read/write memory medium,
The storage medium designated herein obtained, such as：ROM/RAM, magnetic disc, CD etc..
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all
Any modification, equivalent substitution and improvements made within the spirit and principles in the present invention etc., are all contained in protection scope of the present invention
It is interior.
Claims (8)
1. the optimization method of energy-saving illumination in a kind of indoor visible light communication, it is characterised in that methods described includes step：
S1：The bound, pre- of each physical parameter is determined according to device hardware in indoor visible light communication system and environmental factor
If target parameter and planar illumination threshold value corresponding with goal-selling parameter and Signal to Interference plus Noise Ratio threshold value；The goal-selling parameter
Including：Transmission power is spent and minimized to maximum illumination；The physical parameter includes：LED transmission powers, LED array layout,
LED radiation angle and receiver FOV；
S2：By each physical parameter to should be used as an element of initial solution, and obtain and include default first quantity initially
The initial disaggregation of solution, wherein, the corresponding one group of target parameter of each initial solution that initial solution is concentrated；
S3：Target parameter carries out p-optimality assessments corresponding to each initial solution concentrated to initial solution, obtains each first
The p-optimality assessed values of target parameter corresponding to beginning solution, wherein, p-optimality assessed values are expressed as following formula：
In formula, P (x) is that initial solution concentrates the element of each initial solution better than other initial solution corresponding elements that initial solution is concentrated
Probability, p are default optimization direction controlling value, wherein, p>1 solution have harmony, 0<P≤1, which solves, has lack of uniformity；
S4：The initial solution that initial solution is concentrated is arranged according to target parameter p-optimality values ascending order corresponding to initial solution, taken
Preceding second predetermined number initial solution alternatively disaggregation；
The each solution concentrated to the selection solution carries out the 3rd predetermined number time cloning, obtains cloning disaggregation；
The each solution concentrated is solved to clone in an adaptive way and carries out random perturbation, obtains disturbing disaggregation；
After target parameter corresponding to the solution concentrated to disturbance solution carries out p-optimality assessments, according still further to p-optimality values
Ascending order arranges, and takes preceding 4th predetermined number solution as optimization disaggregation；
S5：Target parameter corresponding to each solution concentrated for described optimization solution, calculating obtain plane corresponding to each solution and shone
Angle value and Signal to Interference plus Noise Ratio value, by the planar illumination value of acquisition and Signal to Interference plus Noise Ratio value planar illumination threshold corresponding with goal-selling parameter
Value and Signal to Interference plus Noise Ratio threshold value are compared respectively, and planar illumination value is in into planar illumination threshold corresponding to the goal-selling parameter
Value is outer, or Signal to Interference plus Noise Ratio value is concentrated from the optimization solution less than the solution of Signal to Interference plus Noise Ratio threshold value corresponding to goal-selling parameter and deleted；
Optimization disaggregation after completion deletion action is preserved as this optimum results；
S6：According to this optimum results of preservation and the last optimum results preserved, determine whether this optimum results tends to
It is stable, if it is, exporting this optimum results, perform step S7；Otherwise the optimization disaggregation of this optimum results is defined as
Initial disaggregation, return to step S3；
S7：P-optimality assessments are carried out to target parameter corresponding to each solution in optimum results, by p-optimality
The minimum solution of assessed value configures the corresponding physical parameter in indoor visible light communication system as optimal solution.
2. method according to claim 1, it is characterised in that P (x) described in step S2 is obtained in the following way：
Concentrate each initial solution to be compared by the method for arranging soon initial solution, and calculate the element in each initial solution and be better than it
The probability P (x) of corresponding element in his initial solution.
3. method according to claim 1, it is characterised in that described that mesh corresponding to each solution concentrated is solved to described optimization
Parameter is marked, planar illumination value and Signal to Interference plus Noise Ratio value corresponding to each solution of acquisition is calculated and is calculated by below equation：
Wherein, planar illumination calculates according to below equation：
Ej=∑kEkj,
In formula, EjThe planar illumination received by j-th of receiver, EkjIt is to receive light intensity by k secondary reflections footpath, during k=0,Direct projection footpath is represented, I (0) is LED emitter central brightness,It is radiation angle, θ is incidence angle, and D is
I-th of LED emitter to j-th of receiver distance, during k ＞ 0
Integral sign represents integration on the reflecting surface, DRefRepresent the distance between light source and reflecting surface, dARefIt is reflecting surface area
Differential；
Signal to Interference plus Noise Ratio calculates according to below equation：
In formula, SINRjSignal to Interference plus Noise Ratio for j-th of receiver to LED signal, σ2It is noise signal, P(Signal)jIt is useful signal,P(ISI)jIt is interference signal, its
In,hijIt is i-th of LED emitter
To the channel impulse response of j-th of receiver, conv is convolution symbol, and X (t) is transmission signal, and T is reception signal bit week
Phase.
4. method according to claim 1, it is characterised in that tend towards stability described in step S6 and entered according to following decision condition
Row judges：
The p-optimality assessed values of target parameter corresponding to each solution in the optimum results of this acquisition are protected with last
The p-optimality assessed values of target parameter corresponding to corresponding solution are compared in the optimum results deposited, its p-
The absolute value that optimality assesses value difference is less than predetermined threshold value, then this optimum results tends towards stability.
5. the optimization device of energy-saving illumination in a kind of indoor visible light communication thing, it is characterised in that described device includes：
Parameter determining module, for determining that each physics is joined according to device hardware in indoor visible light communication system and environmental factor
The bound of amount, goal-selling parameter and planar illumination threshold value corresponding with goal-selling parameter and Signal to Interference plus Noise Ratio threshold value；Institute
Stating goal-selling parameter includes：Transmission power is spent and minimized to maximum illumination；The physical parameter includes：LED launches work(
Rate, LED array layout, LED radiation angle and receiver FOV；
Initial disaggregation obtains module, for each physical parameter to should be used as an element of initial solution, and to be included
The initial disaggregation of default first quantity initial solution, wherein, the corresponding one group of target parameter of each initial solution that initial solution is concentrated；
P-optimality evaluation modules, p- is carried out for target parameter corresponding to each initial solution for being concentrated to initial solution
Optimality is assessed, and obtains the p-optimality assessed values of target parameter corresponding to each initial solution, wherein, p-
Optimality assessed values are expressed as following formula：
In formula, P (x) is that initial solution concentrates the element of each initial solution better than other initial solution corresponding elements that initial solution is concentrated
Probability, p are default optimization direction controlling value, wherein, p>1 solution have harmony, 0<P≤1, which solves, has lack of uniformity；
Immune optimization computing module, it is right for the p-optimality assessed values of the target parameter according to corresponding to each initial solution
The initial disaggregation carries out immune optimization computing, obtains optimizing disaggregation；
The immune optimization computing module includes：
Select submodule：For by the initial solution that initial solution is concentrated according to target parameter p-optimality values corresponding to initial solution
Ascending order arranges, and takes preceding second predetermined number initial solution alternatively disaggregation；
Clone submodule：The 3rd predetermined number time cloning is carried out for solving each solution concentrated to the selection, obtains clone's solution
Collection；
Evolution submodule：Random perturbation is carried out for solving each solution concentrated to clone in an adaptive way, obtains disturbance solution
Collection；
Gravity treatment submodule：After target parameter progress p-optimality assessments corresponding to the solution concentrated are solved to disturbance, then press
Arranged according to p-optimality values ascending order, take preceding 4th predetermined number solution as optimization disaggregation；
Optimize disaggregation screening module, for solving target parameter corresponding to each solution concentrated to described optimization, calculating obtains every
Planar illumination value corresponding to individual solution and Signal to Interference plus Noise Ratio value, by the planar illumination value of acquisition and Signal to Interference plus Noise Ratio value and goal-selling parameter
Corresponding planar illumination threshold value and Signal to Interference plus Noise Ratio threshold value are compared respectively, and planar illumination value is in into the goal-selling parameter
Outside corresponding planar illumination threshold value, or Signal to Interference plus Noise Ratio value is less than the solution of Signal to Interference plus Noise Ratio threshold value corresponding to goal-selling parameter from described
Optimization solution, which is concentrated, deletes；Optimization disaggregation after completion deletion action is preserved as this optimum results；
Optimum results output module, for this optimum results according to preservation and the last optimum results preserved, it is determined that this
Whether suboptimization result tends towards stability, if it is, exporting this optimum results, triggers optimal solution configuration module；Otherwise it incite somebody to action this
The optimization disaggregation of suboptimization result is defined as initial disaggregation, triggers p-optimality evaluation modules；
Optimal solution configuration module, commented for carrying out p-optimality to target parameter corresponding to each solution in optimum results
Estimate, the corresponding physics in indoor visible light communication system is configured using the minimum solution of p-optimality assessed values as optimal solution
Parameter.
6. device according to claim 5, it is characterised in that P (x) passes through as follows in the p-optimality evaluation modules
Mode obtains：
Concentrate each initial solution to be compared by the method for arranging soon solution, and calculate the element in each initial solution better than at the beginning of other
The probability P (x) of corresponding element in beginning solution.
7. device according to claim 5, it is characterised in that to described optimization disaggregation described in optimization disaggregation screening module
In each solution corresponding to target parameter, calculate and obtain planar illumination value and Signal to Interference plus Noise Ratio value corresponding to each solution and pass through following public affairs
Formula calculates：
Wherein, planar illumination calculates according to below equation：
Ej=∑kEkj,
In formula, EjThe planar illumination received by j-th of receiver, EkjIt is to receive light intensity by k secondary reflections footpath, during k=0,Direct projection footpath is represented, I (0) is LED emitter central brightness,It is radiation angle, θ is incidence angle,
D is distance of i-th of LED emitter to j-th of receiver, during k ＞ 0
Integral sign represents integration on the reflecting surface, DRefRepresent the distance between light source and reflecting surface, dARefIt is reflecting surface area
Differential；
Signal to Interference plus Noise Ratio calculates according to below equation：
In formula, SINRjSignal to Interference plus Noise Ratio for j-th of receiver to LED signal, σ2It is noise signal, P(Signal)jIt is useful signal,P(ISI)jIt is interference signal, its
In,hijIt is i-th of LED emitter
To the channel impulse response of j-th of receiver, conv is convolution symbol, and X (t) is transmission signal, and T is reception signal bit week
Phase.
8. device according to claim 5, it is characterised in that tended towards stability described in optimum results output module according to as follows
Decision condition is judged：
The p-optimality assessed values of target parameter corresponding to each solution in the optimum results of this acquisition are protected with last
The p-optimality assessed values of target parameter corresponding to corresponding solution are compared in the optimum results deposited, its p-
The absolute value that optimality assesses value difference is less than predetermined threshold value, then this optimum results tends towards stability.
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| CN104467964A (en) * | 2014-11-10 | 2015-03-25 | 北京邮电大学 | Method for optimizing communication speed of indoor visible light communication |
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| US6654354B1 (en) * | 1999-12-22 | 2003-11-25 | Worldcom, Inc. | System and method for planning multiple MUX levels in a fiber optic network simulation plan |
| CN104038288A (en) * | 2014-06-10 | 2014-09-10 | 中国人民解放军信息工程大学 | Visible light communication system based on natural light communication |
| CN204089821U (en) * | 2014-10-13 | 2015-01-07 | 桂林电子科技大学 | A kind of visible light communication system |
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