闞瑞祥 王玫

摘? 要： 為提高無線傳感器網絡（WSN）源節(jié)點定位算法的性能優(yōu)勢，提出一種考慮擴展三維測距球RSS算法的WSN節(jié)點定位方法。首先，通過對接收信號強度（RSS）的測量，提出非模糊閉合估計方法，對無線信道陰影噪聲下的源位置進行幾何定位;其次，針對測距中的測量誤差，將動態(tài)調整方案應用于定位算法中，通過對RSS的多次測量，得到源定位誤差的下限;最后，數值模擬結果表明，該估計方法優(yōu)于傳統(tǒng)的最小二乘估計方法，特別是在參考傳感器節(jié)點接近共面的不利情況下，與接近局部化下限的最大似然估計方法相比，該方法計算量小，且對局部化精度影響不大。

關鍵詞： 無線傳感器網絡定位; 誤差下限獲取; 接收信號強度測量; 幾何定位; 動態(tài)調整; 數值模擬

中圖分類號： TN711?34; TP391? ? ? ? ? ? ? ? ? ?文獻標識碼： A? ? ? ? ? ? ? ? ? ? ? 文章編號： 1004?373X（2020）08?0068?04

WSN positioning based on dynamic adjustment of 3D closed ranging sphere

KAN Ruixiang， WANG Mei

（College of Information Science and Engineering， Guilin University of Technology， Guilin 541006， China）

Abstract： A WSN node localization method based on the extended 3D ranging sphere RSS （received signal strength） algorithm is proposed to improve the performance advantage of WSN source node localization algorithm. A non?fuzzy closed estimation method is proposed by measuring the RSS， by which the geometric positioning of the source location under the shadow noise of wireless channel is carried out. In view of the measurement error in ranging， the dynamic adjustment scheme is applied to the positioning algorithm to obtain the lower limit of the source positioning error by multiple measurements of RSS. The numerical simulation results show that the estimation method is superior to the traditional least squares estimation method. Especially in the case that the reference sensor node is close to the coplane， in comparison with the method of the maximum likelihood estimation closed to the localization lower limit， the amount of the calculation of this method is smaller， which has little influence on the localization accuracy.

Keywords： WSN positioning; error lower limit deriving; received signal strength measurement; geometric positioning; dynamic adjustment; numerical simulation