摘要
针对室内环境因素对定位结果影响较大的情况,提出了一种基于接收信号强度指示(RSSI)的自适应分段曲线拟合定位算法来提高室内定位的精度。在对原始RSSI数据预先进行高斯滤波处理的基础上,针对环境参数利用自适应分段曲线拟合的方法建立信号传播模型,最后采用最小二乘法计算出未知节点的坐标。实验结果表明:提出的算法定位精度更高,定位结果更稳定可靠,能够适应不同的室内环境。
Aiming at problem that indoor environmental factors have great effect on localization result,a method of adaptive piecewise curve fitting based on received signal strength indication（ RSSI） is proposed. Raw RSSI data are preprocessed by Gaussian filtering,and signal propagation model is established by adaptive piecewise curve fitting,coordinates of unknown nodes is calculated by the least square method. Experimental result shows that the proposed algorithm has higher localization precision,more stable and reliable localization result and can adapt to different indoor environments.
出处
《传感器与微系统》
CSCD
2015年第10期151-153,共3页
Transducer and Microsystem Technologies
基金
国家科技重大专项项目(2011ZX03005-002)
关键词
无线传感器网络
室内定位
接收信号强度指示
高斯滤波
自适应分段曲线拟合
wireless sensor networks（WSNs）
indoor localization
received signal strength indication（RSSI）
Gaussian filtering
adaptive piecewise curve fitting
