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      基于三維封閉式測距球動態(tài)調(diào)整的WSN定位

      2020-08-03 07:58:33闞瑞祥王玫
      現(xiàn)代電子技術(shù) 2020年8期
      關(guān)鍵詞:動態(tài)調(diào)整數(shù)值模擬

      闞瑞祥 王玫

      摘? 要: 為提高無線傳感器網(wǎng)絡(luò)(WSN)源節(jié)點(diǎn)定位算法的性能優(yōu)勢,提出一種考慮擴(kuò)展三維測距球RSS算法的WSN節(jié)點(diǎn)定位方法。首先,通過對接收信號強(qiáng)度(RSS)的測量,提出非模糊閉合估計(jì)方法,對無線信道陰影噪聲下的源位置進(jìn)行幾何定位;其次,針對測距中的測量誤差,將動態(tài)調(diào)整方案應(yīng)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(shù)值模擬結(jié)果表明,該估計(jì)方法優(yōu)于傳統(tǒng)的最小二乘估計(jì)方法,特別是在參考傳感器節(jié)點(diǎn)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(jì)方法相比,該方法計(jì)算量小,且對局部化精度影響不大。

      關(guān)鍵詞: 無線傳感器網(wǎng)絡(luò)定位; 誤差下限獲取; 接收信號強(qiáng)度測量; 幾何定位; 動態(tài)調(diào)整; 數(shù)值模擬

      中圖分類號: TN711?34; TP391? ? ? ? ? ? ? ? ? ?文獻(xiàn)標(biāo)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

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