CN104539362B - Visible light communication system received power optimizing method based on genetic algorithm - Google Patents

Visible light communication system received power optimizing method based on genetic algorithm Download PDF

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CN104539362B
CN104539362B CN201510004784.XA CN201510004784A CN104539362B CN 104539362 B CN104539362 B CN 104539362B CN 201510004784 A CN201510004784 A CN 201510004784A CN 104539362 B CN104539362 B CN 104539362B
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communication system
light transmittance
genetic algorithm
visible light
receiving power
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CN104539362A (en
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彭云峰
刘宇涵
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University of Science and Technology Beijing USTB
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University of Science and Technology Beijing USTB
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Abstract

The invention discloses a visible light communication system received power optimizing method based on a genetic algorithm. The visible light communication system received power optimizing method includes the steps that firstly, a receiving plane composed of receivers of a visible light communication system is divided into a plurality of areas, wherein optical collectors with the same light transmittance are adopted for the receivers in each area; then the light transmittance of the multiple areas serves as genes to obtain bodies, a fitness objective function is set, an optimal light transmittance combination is obtained with the genetic algorithm, after the genetic algorithm is repeated a plurality of times, the obtained optimal light transmittance combinations are averaged, and the final light transmittance combination result is obtained. By means of the visible light communication system received power optimizing method, the evenness of the received power in the visible light communication system can be effectively improved, and the visible light communication system received power optimizing method is simple and practicable; in addition, adjustment and control are carried out at the receiving end, the power at the transmitting end can not be influenced, and therefore the indoor lighting level and the transmission delay can not be influenced.

Description

Visible light communication system receiving power optimization method based on genetic algorithm
Technical field
The invention belongs to visible light communication system technical field, more specifically, be related to a kind of based on genetic algorithm Visible light communication system receiving power optimization method.
Background technology
Based on the indoor visible light communication technology of LED, increasingly paid close attention to by academia.LED has A lot of advantages, such as high, low, environment friendly of long service life, energy consumption of radiation efficiency etc..Compare with traditional light source, LED can provide communication simultaneously and illuminate.However, because the mirror-reflection effect of indoor minute surface ceiling etc. is it is seen that optic communication The Multipath Transmission of system is inevitable.It is not that Multipath Transmission can lead to the power that the receiver positioned at diverse location receives Equally distributed, that is, the reception function being located at room center receives more power than the receiver positioned at corner.
In order to reduce the impact of uneven Power coverage, it is also proposed certain methods at present, mainly lay stress on control On LED beam and LED array distribution.Such as Jupeng Ding etc. is published in Journal of the Optical Society of America A,2012,29(6):971-979.'s is entitled《Evolutionary Algorithm Based Uniform Received Power&Illumination Rendering for Indoor Visible Light Communication》 Paper propose and reach the purpose of optimization with the transmission power that evolvement method optimizes transmitting terminal LED array, however, these sides Method not only reduces illumination level, also add the root mean square delay spread of transmission simultaneously.Additionally, T.Komine etc. is published in Wireless Communications, IEEE Transactions, 2009,8 (6), 2892-2900's is entitled 《Adaptive equalization system for visible light wireless communication utilizing multiple white LED lighting equipment》Paper propose based on adaptive equalization skill The prioritization scheme of art, but adaptive equalization technique implements sufficiently complex, and cost is also high.Therefore, do not affecting illumination level On the premise of root mean square time delay, the optimization quickly and easily realizing the distribution of visible light communication receiving power is critically important.
Content of the invention
It is an object of the invention to overcoming the deficiencies in the prior art, provide a kind of visible light communication system based on genetic algorithm System receiving power optimization method, quickly and easily realizes the optimization of receiving power distribution in visible light communication system, improves and receive The uniformity of power.
For achieving the above object, the visible light communication system receiving power optimization side based on genetic algorithm for the present invention Method, comprises the following steps:
S1:It will be seen that the receiving plane of the receiver composition of optical communication system is divided into M region, connecing in each region Receipts machine adopts light transmittance identical concentrator, and the light transmittance of m-th region concentrator is designated as lm, the span of m is m=1, 2,…,M;
S2:Setting genetic algorithm execution total degree K, carries out K genetic algorithm, the concrete steps bag of each genetic algorithm Include:
S2.1:By M light transmittance lmAs M gene, form individual L=(l1,l2,…,lM), randomly generate N number of One initial population of individual composition;
S2.2:Set the object function of the individual adaptation degree based on receiving power, setting principle is:Receiving power distribution is got over Uniformly, fitness is higher;
S2.3:Calculate the receiving power of each individual corresponding all receiver in population, and calculated according to receiving power Each individual fitness value;
S2.4:Judging whether to reach default genetic algorithm end condition, if it is not, entering step S2.5, otherwise entering Enter step 2.6;
S2.5:Enter the selection in line algorithm according to fitness value, intersection, the operation of variation obtain progeny population, return step Rapid S2.3;
S2.6:Filter out the maximum individuality of a fitness value as optimum light transmittance group in last generation progeny population Close Lk=(l1,k,l2,k,…,lM,k);
S3:The optimum light transmittance combination L that K genetic algorithm is obtainedk=(l1,k,l2,k,…,lM,k) carry out averagely, obtaining The final result of light transmittance combinationBy this light transmittance combination application in visible light communication system.
The visible light communication system receiving power optimization method based on genetic algorithm for the present invention, first it will be seen that optic communication system The receiving plane of the receiver composition of system is divided into several regions, and the receiver in each region adopts light transmittance identical to gather Then the light transmittance in this several region is obtained an individual, the object function of setting fitness as gene, adopts by light device Genetic algorithm obtains optimum light transmittance combination, after repeated several times genetic algorithm, the optimum light transmittance combination obtaining is put down All, obtain final light transmittance combined result.Receiving power in visible light communication system can be effectively improved using the present invention Uniformity, and simple, and the present invention is to be regulated and controled in receiving terminal, and transmitting terminal power will not be impacted, Therefore also indoor illumination level and propagation delay time will not be impacted.
Brief description
Fig. 1 is the specific embodiment based on the visible light communication system receiving power optimization method of genetic algorithm for the present invention Flow chart;
Fig. 2 is the receiving plane schematic diagram of the present embodiment;
Fig. 3 is the LED transmitter configuration figure of the present embodiment;
Fig. 4 is that the receiving plane in the present embodiment divides schematic diagram;
Fig. 5 is the receiving power distribution map being provided without receiving power optimization method;
Fig. 6 is the receiving power distribution map using receiving power optimization method of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawings the specific embodiment of the present invention is described, so that those skilled in the art is preferably Understand the present invention.Requiring particular attention is that, in the following description, when known function and design detailed description perhaps Can desalinate the present invention main contents when, these descriptions will be ignored here.
Embodiment
Fig. 1 is the specific embodiment based on the visible light communication system receiving power optimization method of genetic algorithm for the present invention Flow chart.As shown in figure 1, the present invention includes following step based on the visible light communication system receiving power optimization method of genetic algorithm Suddenly:
S101:Receiving plane divides:
It will be seen that the receiving plane of the receiver composition of optical communication system is divided into M region, the reception in each region Machine adopts light transmittance identical concentrator, and the light transmittance of m-th region concentrator is designated as lm, the span of m is m=1, 2,…,M.
Fig. 2 is the receiving plane schematic diagram of the present embodiment.As shown in Fig. 25 meters of the length in room in the present embodiment, wide 5 meters, High 3 meters, it is entirely empty, without any jamming light source with block.It is evenly distributed 25 × 25=625 receiver on ground, connect The face that is closed flat is located at 0.85 meter of ground.Fig. 3 is the LED transmitter configuration figure of the present embodiment.As shown in figure 3, the present embodiment In amount to 3 × 3=9 LED transmitter array, be uniformly distributed on the ceiling, in each LED transmitter array, comprise 7 × 7= 49 LED transmitter.Fig. 4 is that the receiving plane in the present embodiment divides schematic diagram.As shown in figure 4, receiving flat in the present embodiment Face is divided into 5 × 5=25 region, has 25 receivers in each region, the light transmittance of the concentrator that each receiver uses All same.Then amount to 25 light transmittances in the present embodiment.In practical application, the region division of receiving plane is not necessarily uniformly, can Divided with the actual conditions according to environment.
S102:Setting genetic algorithm execution total degree K.K=20 is set in the present embodiment.
S103:Make k=1.
S104:Generate the initial population of kth time genetic algorithm:
By M light transmittance lmAs M gene, form individual L=(l1,l2,…,lM), randomly generate individuality One initial population of composition.
S105:Set the object function of the individual adaptation degree based on receiving power, setting principle is:Receiving power distribution is got over Uniformly, fitness is higher.In the present embodiment, the object function of the fitness of employing is:
Wherein, maxPr(Lv) and minPr(Lv) represent respectively for a specific light transmittance combination individuality Lv, entirely connect It is closed flat the maxima and minima in all receiver receiving powers in face.The maxima and minima difference of receiving power is got over Little, fitness is bigger.
Object function can be selected according to actual conditions, for example, can also build fitness target letter using variance Number.
S106:Calculate the receiving power of each individual corresponding all receiver in population.In the present embodiment, receiving power Computing formula:
Wherein, SiRepresent i-th emitter, i=1,2 ..., I, I represent the number of LED transmitter in visible light communication system Amount, RjRepresent j-th receiver, j=1,2 ..., J, J represent the quantity of receiver in visible light communication system, PtRepresent each The transmission power of LED transmitter, H(0)(0;Si,Rj) it is the direct projection gain to j-th receiver of i-th emitter, Href(0;Si, Rj) represent reflection gain, AsurRepresent plane of reflection area, njRepresent the light transmittance of the concentrator of j-th receiver, ψcRepresent every The angle of visibility FOV (angle of visibility) of individual receiver.
In visible light communication system, the computational methods of receiving power may refer to Fundeamental Analysis for Visible-Light Communication System using LED Lights(Toshihiko Komine,and Masao Nakagawa).
S107:Each individual fitness value is calculated according to receiving power.
S108:Judging whether to reach default genetic algorithm end condition, if it is not, entering step S109, otherwise entering Enter step S110.Genetic algorithm end condition is configured according to actual needs, generally has two ways, and one kind is that setting adapts to The threshold value of angle value, then terminates when fitness value reaches threshold value;Also have a kind of be setting progeny population maximum algebraically, when reaching Advanced algebra then terminates.
S109:Enter the selection in line algorithm according to fitness value, intersection, the operation of variation obtain progeny population, return step Rapid S106.
S110:Filter out the maximum individuality of a fitness value as optimum light transmittance group in last generation progeny population Close Lk=(l1,k,l2,k,…,lM,k), enter step S111.
Genetic algorithm is a kind of conventional ripe algorithm at present, its principle and select, intersect, the operation here of variation no longer Repeat.
S111:Judging whether k < K, if it is, entering step S112, otherwise entering step S113.
S112:Make k=k+1, return to step S104.
S113:By K optimum light transmittance combination Lk=(l1,k,l2,k,…,lM,k) carry out averagely, obtaining light transmittance combination Final resultComputing formula is:
Why carried out using the optimum light transmittance combination that K genetic algorithm obtains average, be because that genetic algorithm exists Certain randomness, using the impact that averagely can reduce this randomness.
According to step of the present invention, embodiment illustrated in fig. 2 is emulated, the optimum that 20 genetic algorithms are obtained Light transmittance combination average, obtains final result.25 light transmittances in light transmittance combination in the present embodiment are followed successively by 1.9,1.8, 1.7,1.7,1.9,1.8,1.6,1.5,1.6,1.8,1.7,1.6,1.7,1.7,1.7,1.7,1.7,1.6,1.7,1.7,2.0, 1.8,1.7,1.9,1.9.In all receivers, receiving power maximum is 2.9 μ W, and minimum of a value is 1.4 μ W.
Fig. 5 is the receiving power distribution map being provided without receiving power optimization method.Fig. 6 is excellent using receiving power of the present invention The receiving power distribution map of change method.Contrast Fig. 5 and Fig. 6 understands, when not adopting receiving power optimization method, the present embodiment In room, receiving power is distributed with room center as maximum, successively decreases to outer, and maximum and minimum of a value differ greatly;When adopting Carry out after receiving power optimization with receiving power optimization method of the present invention, the announcement of receiving power is more uniform, especially room The power that accepts of corner is greatly improved.It can be seen that, combined using the light transmittance that the present invention obtains, can effectively improve visible The uniformity of receiving power in optical communication system.
Although to the present invention, illustrative specific embodiment is described above, in order to the technology of the art Personnel understand the present invention, the common skill it should be apparent that the invention is not restricted to the scope of specific embodiment, to the art For art personnel, as long as various change is in the spirit and scope of the present invention of appended claim restriction and determination, these Change is it will be apparent that all utilize the innovation and creation of present inventive concept all in the row of protection.

Claims (2)

1. a kind of visible light communication system receiving power optimization method based on genetic algorithm is it is characterised in that include following walking Suddenly:
S1:It will be seen that the receiving plane of the receiver composition of optical communication system is divided into M region, the receiver in each region Using light transmittance identical concentrator, the light transmittance of m-th region concentrator is designated as lm, the span of m is m=1,2 ..., M;
S2:Setting genetic algorithm execution total degree K, carries out K genetic algorithm, the concrete steps of each genetic algorithm include:
S2.1:By M light transmittance lmAs M gene, form individual L=(l1,l2,…,lM), randomly generate individuality One initial population of composition;
S2.2:Set the object function of the individual adaptation degree based on receiving power, setting principle is:Receiving power distribution is more equal Even, fitness is higher;
S2.3:Calculate the receiving power of each individual corresponding all receiver in population, and each is calculated according to receiving power Individual fitness value;
S2.4:Judging whether to reach default genetic algorithm end condition, if it is not, entering step S2.5, otherwise entering step Rapid 2.6;
S2.5:Entered according to fitness value the selection in line algorithm, intersection, variation operation obtain progeny population, return to step S2.3;
S2.6:Filter out the maximum individuality of a fitness value and combine L as optimum light transmittance in last generation progeny populationk =(l1,k,l2,k,…,lM,k);
S3:The optimum light transmittance combination L that K genetic algorithm is obtainedk=(l1,k,l2,k,…,lM,k) carry out averagely, obtaining printing opacity The final result of rate combinationBy this light transmittance combination application in visible light communication system.
2. visible light communication system receiving power optimization method according to claim 1 is it is characterised in that described individuality is suitable The object function of response is:
O ( L v ) = 100 - 100 [ max P r ( L v ) - min P r ( L v ) max P r ( L v ) ]
Wherein, maxPr(Lv) and minPr(Lv) represent respectively for a specific light transmittance combination individuality Lv, entirely receive flat Maxima and minima in all receiver receiving powers in face.
CN201510004784.XA 2015-01-06 2015-01-06 Visible light communication system received power optimizing method based on genetic algorithm Expired - Fee Related CN104539362B (en)

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