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Research on an Improved Self-Correcting Location Algorithm for Wireless Local Region

机译:一种改进的无线局域自校正定位算法研究

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Node position technology is an internal demand of wireless sensor network, however, in most project account; it's hard to obtain the nodes' exact position because of uncontrollability in the network deployment process. For this purpose, an improved self-correcting location algorithm which based on RSSI multilateral ranging was proposed in this paper. Other than the primary multilateral localization algorithm, a correcting node which adjacent to the blind node was imported into the pending location region. The main function is to reduce the influence caused by unilateral ranging error in the calculation of multilateral positioning and improves the positioning precision. Detailedly introduced the principle of self-correcting location algorithm, moreover, in order to check the improved algorithm's location performance, a back testing was done via CC2430/CC2431 wireless nodes. Test results show that improved algorithm enhances the system's accuracy and stability.
机译:节点定位技术是无线传感器网络的内部需求,但是,在大多数项目中,这都是必需的。由于网络部署过程中的不可控制性,因此很难获得节点的确切位置。为此,本文提出了一种改进的基于RSSI多边测距的自校正定位算法。除了主要的多边定位算法,与盲节点相邻的校正节点被导入到待处理的位置区域中。主要功能是减少多边定位计算中单边测距误差所造成的影响,提高定位精度。详细介绍了自校正定位算法的原理,此外,为了检查改进算法的定位性能,通过CC2430 / CC2431无线节点进行了反向测试。测试结果表明,改进算法提高了系统的精度和稳定性。

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