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

【摘要】：當(dāng)前的煤礦安全生產(chǎn)要求對(duì)井下人員的位置進(jìn)行精確的監(jiān)控,井下定位技術(shù)已成為近年來(lái)國(guó)內(nèi)外研究的熱點(diǎn)。針對(duì)井下環(huán)境的特征本文研究了基于RSS (Received Signal Strength)的定位技術(shù),在工程上和理論上重點(diǎn)研究了兩大問(wèn)題。在工程方面論證了井下定位網(wǎng)絡(luò)構(gòu)建的可行性并且設(shè)計(jì)了基于WLAN網(wǎng)絡(luò)的井下定位網(wǎng)絡(luò)系統(tǒng),研究了采用2.4G射頻信號(hào)和ZigBee網(wǎng)絡(luò)實(shí)現(xiàn)定位的技術(shù)優(yōu)勢(shì)和實(shí)現(xiàn)可行性,設(shè)計(jì)了井下定位系統(tǒng)中的盲節(jié)點(diǎn)發(fā)射器的電路和控制軟件,并且對(duì)發(fā)射器進(jìn)行了測(cè)試。在算法理論上提出一種基于Radio Map動(dòng)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(duì)RSS觀測(cè)值進(jìn)行預(yù)測(cè),采用預(yù)測(cè)值而非實(shí)測(cè)值建立Radio Map,有效的消除了噪聲、多徑等干擾對(duì)定位的影響,在Radio Map在線動(dòng)態(tài)校正階段,采用標(biāo)準(zhǔn)差的形式為用戶提供定位誤差的準(zhǔn)確信息服務(wù),在定位階段利用權(quán)重NN算法,對(duì)大多數(shù)最近Radio Map定位點(diǎn)賦予最高權(quán)重,從而算出權(quán)重平均值,優(yōu)選合適的AP錨節(jié)點(diǎn)完成盲節(jié)點(diǎn)定位。實(shí)驗(yàn)結(jié)果表明,設(shè)計(jì)的盲節(jié)點(diǎn)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(dá)到了研究任務(wù)的要求,同時(shí)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(biāo)數(shù)和系統(tǒng)抗干擾能力方面有明顯的優(yōu)勢(shì)。
[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(xué)位授予單位】：南京信息工程大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TD76
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本文編號(hào)：1740358