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针对WiFi信号进行室内距离交会定位模型中WiFi测距误差引起的线性化误差不能忽略,提出在建立接收信号强度与距离的关系模型的条件下,利用高斯-牛顿迭代解法来提高室内定位的解算精度。阐述了该方法的原理,以最小二乘法求得的待定点坐标为初值进行高斯-牛顿迭代法计算。结果表明,此方法能有效提高定位精度,但精度仍不及传统指纹算法,该迭代解法仍需进一步改进。
The error of linearization caused by WiFi ranging error in indoor distance intersection positioning model can not be neglected for WiFi signal. It is proposed that using Gauss - Newton iterative method to improve the solution of indoor positioning under the condition of establishing the relationship model of received signal strength and distance Accuracy. The principle of this method is expounded. Gauss - Newton iterative method is used to calculate the initial coordinates of the point to be fixed determined by the least square method. The results show that this method can effectively improve the positioning accuracy, but the precision is still not as good as the traditional fingerprint algorithm. The iterative method still needs to be further improved.