【摘要】：針對(duì)線性系統(tǒng)理論的監(jiān)測(cè)定位技術(shù)誤差較大且又無法實(shí)時(shí)監(jiān)測(cè)深井人員及移動(dòng)設(shè)備的位置問題,提出一種基于非線性函數(shù)不敏卡爾曼濾波(UKF)移動(dòng)節(jié)點(diǎn)定位算法(U-MPA)。在建立U-MPA監(jiān)測(cè)系統(tǒng)及巷道模型的基礎(chǔ)上,采用UKF方法對(duì)RSSI濾波測(cè)距,通過局部坐標(biāo)系,實(shí)現(xiàn)對(duì)移動(dòng)節(jié)點(diǎn)實(shí)時(shí)定位監(jiān)測(cè);同時(shí),通過改變錨節(jié)點(diǎn)間距密度,實(shí)現(xiàn)不同定位精度要求。仿真實(shí)驗(yàn)表明:U-MPA算法相比RSSI算法定位誤差有明顯減小,U-MPA算法的平均定位偏差為RSSI算法的44%。
[Abstract]:In order to solve the problem that the monitoring and positioning technology of linear system theory has large error and can not monitor the position of deep well personnel and mobile equipment in real time, a (UKF) mobile node location algorithm based on nonlinear function unsensitive Kalman filter (U-MPA) is proposed. On the basis of establishing U-MPA monitoring system and roadway model, UKF method is used to filter distance measurement for RSSI, and real-time positioning monitoring of mobile nodes is realized through local coordinate system. At the same time, different positioning accuracy requirements are realized by changing the spacing density of anchor nodes. The simulation results show that the positioning error of U-MPA algorithm is obviously lower than that of RSSI algorithm, and the average positioning deviation of U-MPA algorithm is 44% of that of RSSI algorithm.
【作者單位】： 南華大學(xué)環(huán)境保護(hù)與安全工程學(xué)院;金屬礦山安全與健康國(guó)家重點(diǎn)實(shí)驗(yàn)室;湖南省鈾尾礦庫退役治理技術(shù)工程技術(shù)研究中心;
【基金】：金屬礦山安全與健康國(guó)家重點(diǎn)實(shí)驗(yàn)室開放基金項(xiàng)目(2016-JSKSSYS-04) 湖南省教育廳科研重點(diǎn)項(xiàng)目(15A161) 湖南省重點(diǎn)研發(fā)項(xiàng)目(2015SK2005) 南華大學(xué)環(huán)境保護(hù)與安全工程學(xué)院研究生科研創(chuàng)新項(xiàng)目(2017YCXXM08);南華大學(xué)大學(xué)生研究性學(xué)習(xí)和創(chuàng)新性實(shí)驗(yàn)計(jì)劃項(xiàng)目(2017XJYZ029)
【分類號(hào)】：TD76

【相似文獻(xiàn)】

相關(guān)期刊論文 前2條

1 狄婧;;傳感器網(wǎng)絡(luò)節(jié)點(diǎn)定位算法在煤礦安全中的應(yīng)用[J];計(jì)算機(jī)仿真;2011年12期

2 鄒一凡;楊益群;;Sugeno改進(jìn)型匹配節(jié)點(diǎn)定位算法在ZigBee無線傳感井下定位系統(tǒng)的應(yīng)用[J];電氣自動(dòng)化;2013年04期

，

本文編號(hào)：2524061