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基于信号衰减模型补偿的RSS指纹定位算法
  • 时间:0
  • 分类:TP393[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:中国矿业大学信息与电气工程学院,江苏徐州221006
  • 相关基金:国家自然科学基金项目(51204186,61379100,51574232)
作者: 华钢, 王永星
中文摘要:

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.

英文摘要:

With the advantage of easy-implementation,low-cost and simplified positioning-parameter,localization algorithm,which is based on wireless receive signal strength,has become a hot research area.However,on the technology localization stage,object's RSS fingerprint need compare with all of RSS fingerprint in the positioning area,therefore,the localization algorithm has larger complexity which causes the bad real time of positioning system.In order to solve the above problem,the object is in the area which is analysed with the wireless signal attenuation model,and object is located precisely by the based-RSS fingerprint algorithm in the forgoing area.Experimental results show that the proposed algorithm can decrease algorithm complexity,and improve the real-time of located system.

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