基于信号衰减模型补偿的RSS指纹定位算法

发布时间：2018-05-07 10:43

本文选题：信号强度 + 无线定位　；参考：《徐州工程学院学报(自然科学版)》2015年04期

【摘要】：基于RSS指纹的定位以其具有部署简单、硬件成本低、定位参数单一等优点成为无线定位技术中的研究热点之一.由于该技术在定位时需要目标RSS指纹与定位区域中所有RSS指纹进行比较,所以该定位算法的复杂度较高,导致了定位系统的实时性较差.为了解决上述问题,通过利用无线信号衰减模型对目标所在的大致区域进行判断,然后在判断的区域中再利用基于RSS指纹算法对目标进行精确定位.仿真实验结果表明改进的方法能够减少算法的复杂度,提高了定位系统的实时性.
[Abstract]:Location based on RSS fingerprint has become one of the research hotspots in wireless location technology because of its advantages such as simple deployment, low hardware cost and single location parameters. Because this technique needs to compare the target RSS fingerprint with all the RSS fingerprints in the location area, the complexity of the localization algorithm is high, which leads to the poor real-time performance of the localization system. In order to solve the above problem, the approximate region of the target is judged by using the wireless signal attenuation model, and then the target location is accurately located based on the RSS fingerprint algorithm in the judging region. The simulation results show that the improved method can reduce the complexity of the algorithm and improve the real-time performance of the localization system.
【作者单位】：中国矿业大学信息与电气工程学院;
【基金】：国家自然科学基金项目(51204186,61379100,51574232)
【分类号】：TP212.9;TN929.5

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