摘要
结合信道模型与实际测试得出的距离越远误差越大的特点,提出一种加权最小二乘估计(WLS)算法用于未知节点的坐标定位.在定位过程中首先通过加权计算获得信道衰落因子;然后利用WLS算法得到未知节点的坐标,并推导了测距和定位的误差公式.仿真实验表明WLS算法的硬件复杂度与最小二乘(LS)算法相同,而定位精度有较大提升,并验证了误差公式推导的正确性.
A weighted least squares（WLS） estimation algorithm was proposed based on lognormal fading channel model and the character that measure errors will become greater when distance increases.Firstly,channel fading factor could be obtained by weighted algorithm,and then the unknown node′s coordinate was estimated by WLS estimate algorithm.Finally the error formula for distance measurement and position were derived.The simulation results show that the location performance of the WLS algorithm is better than that of least square（LS） algorithm,and they both have the same cost consumption.The simulation results also prove the error formula is correct.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2011年第11期34-38,共5页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家重大专项资助项目(2010ZX03006-003-02)
关键词
无线传感器网络
定位
接收信号强度指示
多边极大似然估计
加权最小二乘
wireless sensor networks
location
received signal strength indicator（RSSI）
maximum likelihood estimation
weighted least squares（WLS）
