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基于射頻地圖動態(tài)校正的井下定位技術研究

發(fā)布時間:2018-04-12 15:40

  本文選題:井下定位 + 射頻地圖; 參考:《南京信息工程大學》2016年碩士論文


【摘要】:當前的煤礦安全生產要求對井下人員的位置進行精確的監(jiān)控,井下定位技術已成為近年來國內外研究的熱點。針對井下環(huán)境的特征本文研究了基于RSS (Received Signal Strength)的定位技術,在工程上和理論上重點研究了兩大問題。在工程方面論證了井下定位網絡構建的可行性并且設計了基于WLAN網絡的井下定位網絡系統(tǒng),研究了采用2.4G射頻信號和ZigBee網絡實現(xiàn)定位的技術優(yōu)勢和實現(xiàn)可行性,設計了井下定位系統(tǒng)中的盲節(jié)點發(fā)射器的電路和控制軟件,并且對發(fā)射器進行了測試。在算法理論上提出一種基于Radio Map動態(tài)校正的井下定位算法RM-DA-UL (Radio Map Dynamic Calibration Based Underground Location),在初始階段利用貝葉斯回歸算法對RSS觀測值進行預測,采用預測值而非實測值建立Radio Map,有效的消除了噪聲、多徑等干擾對定位的影響,在Radio Map在線動態(tài)校正階段,采用標準差的形式為用戶提供定位誤差的準確信息服務,在定位階段利用權重NN算法,對大多數最近Radio Map定位點賦予最高權重,從而算出權重平均值,優(yōu)選合適的AP錨節(jié)點完成盲節(jié)點定位。實驗結果表明,設計的盲節(jié)點發(fā)射器可以滿足井下定位的要求,定位系統(tǒng)的定位精度達到了研究任務的要求,同時與現(xiàn)有較為優(yōu)秀的算法相比,本系統(tǒng)在定位精度、定位失效率,可定位目標數和系統(tǒng)抗干擾能力方面有明顯的優(yōu)勢。
[Abstract]:The current coal mine safety production requires accurate monitoring of the location of underground personnel, and the downhole positioning technology has become a hot spot at home and abroad in recent years.According to the characteristics of downhole environment, this paper studies the localization technology based on RSS received Signal Strength, focusing on two major problems in engineering and theory.In engineering, the feasibility of constructing downhole positioning network is demonstrated, and the downhole positioning network system based on WLAN network is designed. The technical advantages and feasibility of using 2.4G radio frequency signal and ZigBee network to realize positioning are studied.The circuit and control software of blind node transmitter in downhole positioning system are designed, and the transmitter is tested.Based on Radio Map dynamic correction, a downhole location algorithm, RM-DA-UL Radio Map Dynamic Calibration Based Underground location, is proposed in this paper. In the initial stage, Bayesian regression algorithm is used to predict RSS observations.Using the predicted value instead of the measured value to establish Radio Map. effectively eliminates the influence of noise and multipath interference on location. In the online dynamic correction stage of Radio Map, the standard deviation is used to provide users with accurate information service of location error.In the localization phase, the weight NN algorithm is used to assign the maximum weight to the most recent Radio Map positioning points, so as to calculate the average weight, and select the appropriate AP anchor nodes to complete the blind node location.The experimental results show that the designed blind node transmitter can meet the requirements of downhole positioning, and the positioning accuracy of the positioning system meets the requirements of the research task. At the same time, compared with the existing better algorithms, the positioning accuracy of the system is improved.The failure rate, the number of targets and the anti-jamming ability of the system have obvious advantages.
【學位授予單位】:南京信息工程大學
【學位級別】:碩士
【學位授予年份】:2016
【分類號】:TD76
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本文編號:1740358

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