CN104539362A - 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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CN104539362A
CN104539362A CN201510004784.XA CN201510004784A CN104539362A CN 104539362 A CN104539362 A CN 104539362A CN 201510004784 A CN201510004784 A CN 201510004784A CN 104539362 A CN104539362 A CN 104539362A
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received power
communication system
light transmittance
visible light
genetic algorithm
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CN104539362B (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

Based on the visible light communication system received power optimization method of genetic algorithm
Technical field
The invention belongs to visible light communication system technical field, more specifically say, relate to a kind of visible light communication system received power optimization method based on genetic algorithm.
Background technology
Based on the indoor visible light communication technology of LED, more and more receive the concern of academia.LED has a lot of advantages, such as radiation efficiency is high, long service life, energy consumption are low, environment friendly etc.Compare with traditional light source, LED can provide communication and illumination simultaneously.But due to the mirror-reflection effect of indoor minute surface ceiling etc., the Multipath Transmission of visible light communication system is inevitable.The power that Multipath Transmission can cause the receiver being positioned at diverse location to receive is uneven distribution, and the reception function being namely positioned at center, room receives more power than the receiver being positioned at corner.
In order to reduce the impact of uneven Power coverage, it is also proposed certain methods at present, mainly laying stress on and controlling in LED light bundle and LED array distribution.Such as Jupeng Ding etc. are published in Journal of theOptical Society of America A, 2012, the exercise question of 29 (6): 971-979. is that the paper of " EvolutionaryAlgorithm Based Uniform Received Power & Illumination Rendering for IndoorVisible Light Communication " proposes the object reaching optimization by the transmitting power that evolvement method optimizes transmitting terminal LED array, but, these methods not only reduce illumination level, also add the root mean square delay spread of transmission simultaneously.In addition, T.Komine etc. are published in Wireless Communications, IEEE Transactions, 2009,8 (6), the exercise question of 2892-2900 is the prioritization scheme that the paper of " Adaptive equalization systemfor visible light wireless communication utilizing multiple white LED lightingequipment " proposes based on adaptive equalization technique, but adaptive equalization technique implements very complicated, cost is also high.Therefore, under the prerequisite not affecting illumination level and root mean square time delay, the optimization realizing the distribution of visible light communication received power is quickly and easily very important.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, a kind of visible light communication system received power optimization method based on genetic algorithm is provided, realize the optimization of received power distribution in visible light communication system quickly and easily, improve the uniformity of received power.
For achieving the above object, the present invention is based on the visible light communication system received power optimization method of genetic algorithm, comprise the following steps:
S1: the receiving plane that the receiver of visible light communication system forms is divided into M region, the receiver in each region adopts the concentrator that light transmittance is identical, and the light transmittance of m region concentrator is designated as l m, the span of m is m=1,2 ..., M;
S2: arrange genetic algorithm and perform total degree K, carry out K genetic algorithm, the concrete steps of each genetic algorithm comprise:
S2.1: by M light transmittance l mas M gene, form body L=(l one by one 1, l 2..., l m), the random individuality that produces forms an initial population;
S2.2: the target function setting the ideal adaptation degree based on received power, setting principle is: received power distribution is more even, and fitness is higher;
S2.3: the received power calculating each individual corresponding all receivers in population, and the fitness value of each individuality is calculated according to received power;
S2.4: judge whether to reach default genetic algorithm end condition, if not, enter step S2.5, otherwise enter step 2.6;
S2.5: carry out according to fitness value the selection in algorithm, intersection, variation operation obtain progeny population, return step S2.3;
S2.6: in the end filter out the maximum individuality of fitness value in generation progeny population as optimum light transmittance combination L k=(l 1, k, l 2, k..., l m,k);
S3: the optimum light transmittance combination L that K genetic algorithm is obtained k=(l 1, k, l 2, k..., l m,k) be averaged, obtain the final result of light transmittance combination by this light transmittance Combination application in visible light communication system.
The present invention is based on the visible light communication system received power optimization method of genetic algorithm, first the receiving plane that the receiver of visible light communication system forms is divided into several regions, receiver in each region adopts the concentrator that light transmittance is identical, then the light transmittance in these several regions is obtained body one by one as gene, the target function of fitness is set, genetic algorithm is adopted to obtain the combination of optimum light transmittance, after repeated several times genetic algorithm, the optimum light transmittance combination obtained is averaged, obtains final light transmittance combined result.Adopt the present invention effectively can improve the uniformity of received power in visible light communication system, and it is simple, and the present invention regulates and controls at receiving terminal, can not impact transmitting terminal power, therefore also can not impact the illumination level of indoor and propagation delay time.
Accompanying drawing explanation
Fig. 1 is the embodiment flow chart of the visible light communication system received power optimization method that the present invention is based on genetic algorithm;
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 received power distribution map not adopting received power optimization method;
Fig. 6 is the received power distribution map adopting received power optimization method of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described, so that those skilled in the art understands the present invention better.Requiring particular attention is that, in the following description, when perhaps the detailed description of known function and design can desalinate main contents of the present invention, these are described in and will be left in the basket here.
Embodiment
Fig. 1 is the embodiment flow chart of the visible light communication system received power optimization method that the present invention is based on genetic algorithm.As shown in Figure 1, the visible light communication system received power optimization method that the present invention is based on genetic algorithm comprises the following steps:
S101: receiving plane divides:
The receiving plane that the receiver of visible light communication system forms is divided into M region, the receiver in each region adopts the concentrator that light transmittance is identical, and the light transmittance of m region concentrator is designated as l m, the span of m is m=1,2 ..., M.
Fig. 2 is the receiving plane schematic diagram of the present embodiment.As shown in Figure 2, in the present embodiment room length 5 meters, wide 5 meters, high 3 meters, be complete empty, containing any jamming light source with block.Be evenly distributed 25 × 25=625 receiver on ground, receiving plane is positioned at distance, 0.85 meter, ground.Fig. 3 is the LED transmitter configuration figure of the present embodiment.As shown in Figure 3, amount to 3 × 3=9 LED transmitter array in the present embodiment, 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, in the present embodiment, receiving plane is divided into 5 × 5=25 region, has 25 receivers in each region, and the light transmittance of the concentrator that each receiver uses is all identical.Then amount to 25 light transmittances in the present embodiment.In practical application, the Region dividing of receiving plane is not necessarily even, can actual conditions environmentally divide.
S102: genetic algorithm is set and performs total degree K.In the present embodiment, K=20 is set.
S103: make k=1.
S104: the initial population generating kth time genetic algorithm:
By M light transmittance l mas M gene, form body L=(l one by one 1, l 2..., l m), the random individuality that produces forms an initial population.
S105: the target function setting the ideal adaptation degree based on received power, setting principle is: received power distribution is more even, and fitness is higher.The target function of the fitness adopted in the present embodiment is:
O ( L v ) = 100 - 100 [ max P r ( L v ) - min P r ( L v ) max P r ( L v ) ]
Wherein, maxP r(L v) and minP r(L v) represent respectively and individual L is combined for a specific light transmittance v, the maxima and minima in whole receiving plane in all receiver received powers.The maxima and minima difference of received power is less, and fitness is larger.
Target function can be selected according to actual conditions, such as, variance can also be adopted to build fitness target function.
S106: the received power calculating each individual corresponding all receivers in population.In the present embodiment, the computing formula of received power:
Pr ( R j ) = Σ i = 1 I { P t n j 2 sin 2 ψ c H ( 0 ) ( 0 ; S i , R j ) + ∫ A sur n j 2 sin 2 ψ c P t H ref ( 0 ; S i , R j ) }
Wherein, S irepresent i-th transmitter, i=1,2 ..., I, I represent the quantity of LED transmitter in visible light communication system, R jrepresent a jth receiver, j=1,2 ..., J, J represent the quantity of receiver in visible light communication system, P trepresent the transmitting power of each LED transmitter, H (0)(0; S i, R j) be the direct projection gain of i-th transmitter to a jth receiver, H ref(0; S i, R j) represent reflection gain, A surrepresent plane of reflection area, n jrepresent the light transmittance of the concentrator of a jth receiver, ψ crepresent the angle of visibility FOV (angle of visibility) of each receiver.
In visible light communication system, the computational methods of received power can see Fundeamental Analysis forVisible-Light Communication System using LED Lights (Toshihiko Komine, andMasao Nakagawa).
S107: the fitness value calculating each individuality according to received power.
S108: judge whether to reach default genetic algorithm end condition, if not, enter step S109, otherwise enter step S110.Genetic algorithm end condition is arranged according to actual needs, usually has two kinds of modes, and a kind of is the threshold value arranging fitness value, then stops when fitness value reaches threshold value; Also having a kind of is the maximum algebraically arranging progeny population, then stops when reaching maximum algebraically.
S109: carry out according to fitness value the selection in algorithm, intersection, variation operation obtain progeny population, return step S106.
S110: in the end filter out the maximum individuality of fitness value in generation progeny population as optimum light transmittance combination L k=(l 1, k, l 2, k..., l m,k), enter step S111.
Genetic algorithm is current a kind of conventional ripe algorithm, and the operation of its principle and selection, intersection, variation does not repeat them here.
S111: judge whether k < K, if so, enter step S112, otherwise enter step S113.
S112: make k=k+1, returns step S104.
S113: by K optimum light transmittance combination L k=(l 1, k, l 2, k..., l m,k) be averaged, obtain the final result of light transmittance combination computing formula is:
l ^ m = 1 K &Sigma; k = 1 K l m , k
The optimum light transmittance combination why adopting K genetic algorithm to obtain is averaged, and is because genetic algorithm exists certain randomness, adopts the impact that on average can reduce this randomness.
Emulate embodiment illustrated in fig. 2 according to step of the present invention, the optimum light transmittance combination average 20 genetic algorithms obtained, obtains final result.25 light transmittances in the present embodiment in light transmittance combination 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, received power maximum is 2.9 μ W, and minimum value is 1.4 μ W.
Fig. 5 is the received power distribution map not adopting received power optimization method.Fig. 6 is the received power distribution map adopting received power optimization method of the present invention.Comparison diagram 5 and Fig. 6 known, when not adopting received power optimization method, in the room of the present embodiment, received power distribution is maximum with center, room, successively decrease, and maximum and minimum value differs greatly to outer; After employing received power optimization method of the present invention carries out received power optimization, the announcement of received power is more even, and especially the power that accepts at corner of the room place is greatly improved.Visible, the light transmittance combination adopting the present invention to obtain, can improve the uniformity of received power in visible light communication system effectively.
Although be described the illustrative embodiment of the present invention above; so that those skilled in the art understand the present invention; but should be clear; the invention is not restricted to the scope of embodiment; to those skilled in the art; as long as various change to limit and in the spirit and scope of the present invention determined, these changes are apparent, and all innovation and creation utilizing the present invention to conceive are all at the row of protection in appended claim.

Claims (2)

1., based on a visible light communication system received power optimization method for genetic algorithm, it is characterized in that, comprise the following steps:
S1: the receiving plane that the receiver of visible light communication system forms is divided into M region, the receiver in each region adopts the concentrator that light transmittance is identical, and the light transmittance of m region concentrator is designated as l m, the span of m is m=1,2 ..., M;
S2: arrange genetic algorithm and perform total degree K, carry out K genetic algorithm, the concrete steps of each genetic algorithm comprise:
S2.1: by M light transmittance l mas M gene, form body L=(l one by one 1, l 2..., l m), the random individuality that produces forms an initial population;
S2.2: the target function setting the ideal adaptation degree based on received power, setting principle is: received power distribution is more even, and fitness is higher;
S2.3: the received power calculating each individual corresponding all receivers in population, and the fitness value of each individuality is calculated according to received power;
S2.4: judge whether to reach default genetic algorithm end condition, if not, enter step S2.5, otherwise enter step 2.5;
S2.5: carry out according to fitness value the selection in algorithm, intersection, variation operation obtain progeny population, return step S2.3;
S2.6: in the end filter out the maximum individuality of fitness value in generation progeny population as optimum light transmittance combination L k=(l 1, k, l 2, k..., l m,k);
S3: the optimum light transmittance combination L that K genetic algorithm is obtained k=(l 1, k, l 2, k..., l m,k) being averaged calculates on average, obtains the final result of light transmittance combination by this light transmittance Combination application in visible light communication system.
2. visible light communication system received power optimization method according to claim 1, is characterized in that, described fitness O (L v) target function be:
O ( L v ) = 100 - 100 [ max P r ( L v ) - min P r ( L v ) max P r ( L v ) ]
Wherein, maxP r(L v) and minP r(L v) represent respectively and individual L is combined for a specific light transmittance v, the maxima and minima in whole receiving plane in all receiver received powers.
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CN108365891B (en) * 2018-02-09 2020-09-01 重庆邮电大学 Method for optimizing downlink coverage uniformity of indoor visible light communication system
CN113395113A (en) * 2021-06-11 2021-09-14 桂林电子科技大学 Differential demodulation method based on color shift keying
CN113395113B (en) * 2021-06-11 2022-07-26 桂林电子科技大学 Differential demodulation method based on color shift keying

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