| As the development of wireless communication technology, visual positioning technology, and distributed information fusion processing technology, electro-optic wireless sensor networks has broad application prospects especially in the military, anti-terrorism, border and other areas. For the purposes of positioning, traditional wireless sensor positioning or optical positioning technology has been difficult to achieve more accurate positioning performance.According to the problems of the needs to be deployed anchor nodes in advance for wireless sensor network node localization, and failed in physical testing and positioning in the network coverage.We studied the overall key technologies of the topic and presented a comprehensive node localization and binocular positioning algorithm for precise positioning of the dual goals(nodes and things people are interested in the coverage of network), and conducted the overall hardware design and indicator verification of optical wireless sensor networks system.Firstly, in terms of network system,we studied technology of the network self-organizing, the network self-configuring, communication protocols, data management and data integration, energy saving, positioning,etc. On the basis of focusing on a variety of wireless sensor network localization algorithm and photoelectric cross location algorithm, an algorithm based on the output RF control register value and distance fitting is proposed, combining the principle of the binocular positioning for dual goals precise positioning of the system algorithm.Secondly, we constructed electro-optic wireless sensor networks, especially for the build of network nodes system, and focused on the system composition, working principle, and design requirements of the node system, and conducted compared demonstrating of selection principles and programs for the part of the module.We clearly determineded hardware design direction of this topic, focusing on the related design of the smallest system of CC2530 as the main chip, especially conducting corresponding software design and simulation on aspects of the antenna matching network design. According to the actual demand and the indicator requirementfor the node system, this paper conducted the corresponding software simulation, device selection and the corresponding circuit design. For positioning needs, focusing on the device selection and the corresponding circuit design for the human body infrared sensors and photoelectric image sensor.Finally, according to the proposed positioning algorithm and its system hardware design results, presented corresponding experimental verification and error analysis, the results showed that:1) Node hardware design and overall system design results can both achieve corresponding indicator requirements;2) The proposed system location algorithm is feasible under certain experimental conditions. The maximum absolute error of node positioning is 1.07 m combining with the overall least squares method, improving by 0.75 m compared with centroid localization method;The positioning mean relative error is 1.18%, improving by 38.14% compared with centroid localization method.3) After having designed the network system and known the position of optical imaging sensors, using a plurality of optical imaging sensor, the 3D localization of 15 target points is carried out according to the principle of the photoelectric distance measurement. The experimental results show that the positioning error is: ?????%5.0%54.0%76.0yxzeee, and z axis is the maximum error. For the electro-optic wireless sensor network positioning system optical imaging sensor of the system has higher positioning accuracy and easy to implement for the actual target point, which has a certain reference value for the practical engineering applications.The research and its design of the issue has guidance for engineering practice and innovative theoretical approach in the development and application of photoelectric wireless sensor network positioning systems. |
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