一种基于超声和射频融合的无线传感器网络网格定位方法

A method of grid localization in WSNs using fusion of ultrasonic and radio frequency

提出了一种基于超声和射频融合的网格定位方法。首先对射频的无线信号强度进行筛选,采用压缩感知方法进行粗定位。然后基于粗定位结果对超声测量的计时结果进行评价和加权,以抵抗局部非视距(NLo S)环境影响。之后再迭代时进行进一步精细定位与超声计时结果的评价加权,直至达到终止条件。测试结果显示:所提出的融合定位方法的定位精度优于经典的CHAN算法,在实际测试中取得较好的定位性能。

A grid localization method using fusion of ultrasonic and radio frequency is proposed. Firstly,wireless signal strength is screened for coarse localization by compressed sensing model. Then,timing results of ultrasonic measurement are evaluated and weighted based on coarse localization results,to conquer effect of local NLo S environment. Further,fine localization is performed and weighted by evaluation of ultrasonic timing result by iteration algorithm,until the termination condition is reached. Test results show that the proposed method achieves better localization precision than classical CHAN algorithm,and better localization property is achieved in practical test.