| With the development of smart life,people's demand for indoor positioning has also increased sharply,such as smart shopping cart positioning in supermarkets,car positioning in underground parking lots,and crowd positioning in large shopping malls.Visible Light Positions(VLP)technology has gradually become the focus of researchers in recent years due to its many advantages such as high precision,low cost,and no electromagnetic interference.For the existing visible light indoor positioning technology,there are generally problems such as low positioning accuracy and poor stability.In this paper,an improved indoor positioning algorithm based on LED coding array data transmission and spatial threepoint positioning model,including graphic coding design and detection and identification of LED-ID,optimization of positioning algorithm,and correction of visual tilt.Conduct research and build an experimental platform for experimental verification.The main research contents of this paper are as follows:1)A graphic QR code is designed,which can convert coordinate information into LEDID and transmit it using LED array.The QR-like code adds error correction codes and masks while making full use of data bits,which not only improves the decoding rate and the recognition rate of graphics,but also provides the function of encoding addresses within the positioning range.address expansion requirements.At the same time,aiming at the problem of sampling failure caused by grid offset that may occur in the process of QR code-like graphics processing,this paper proposes an adaptive grid division method to increase the recognition rate of graphics.Finally,it is verified by experiments that when the distance is not more than 250 cm,the decoding success rate is maintained at more than 90%,which verifies the advantages of the LED-ID code recognition based on the QR code proposed in this paper.2)An improved localization algorithm based on sparrow search is proposed.The sparrow search algorithm is used to solve the problem of optimal solution of the viewing angle equation in the localization algorithm,which provides higher localization accuracy.By building an experimental platform of 100cm×100cm×200cm,the direct ratio method is compared with the sparrow search-based localization algorithm proposed in this paper.The experimental results verify that when the height is 200 cm,the positioning algorithm based on sparrow search improves the average positioning accuracy from 6.09 cm to 5.32 cm.And it is verified that the static positioning error of the algorithm in this paper is 4.72 cm and3.98 cm when the height is 180 cm and 150 cm respectively,and the average positioning error of the dynamic positioning single axis is 4.66 cm when the height is 200 cm,which confirms the accuracy of the positioning algorithm proposed in this paper.Feasibility and superiority.3)During the experiment,it is found that the positioning algorithm cannot meet the positioning requirements in the state of visual tilt in the real scene.To this end,this paper proposes an indoor positioning algorithm based on the visual tilt state.Firstly,the QR codelike deformity is corrected by perspective change and bi-line interpolation algorithm,so that it can have the recognition accuracy before it is not tilted.Then,the model in the state of visual tilt is modeled,the spatial geometric relationship in the model is analyzed,and the tilt amount is introduced to deduce the positioning algorithm,and finally the positioning algorithm in the state of visual tilt is obtained.It is verified by experiments that in the tilted state,when the height is 170 cm,the average positioning error of the algorithm is 6.95 cm,which verifies the feasibility of the tilt algorithm proposed in this paper. |
PDF Full Text Request