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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.
Combined with the fact that the farther the distance between the channel model and the actual test, the error is larger, a weighted least squares estimation (WLS) algorithm is proposed for the location of unknown nodes.First, the channel fading factor Then the WLS algorithm is used to get the coordinates of unknown nodes and the error formula of distance measurement and localization is deduced.The simulation results show that the hardware complexity of WLS algorithm is the same as that of least squares (LS) algorithm, and the positioning accuracy is greatly improved The correctness of the error formula is verified.