基于分布式傳感器網(wǎng)絡(luò)的地下淺層定位算法研究
[Abstract]:Based on vibration wave positioning technology is a kind of data acquisition, data transmission, signal processing in one of the position measurement technology, widely used in coal mine exploration, indoor, outdoor positioning and tracking and other engineering fields. Because of the complexity of underground environment, the accuracy of seismic source location is not high. Based on the analysis of the traditional localization methods, this paper focuses on the high precision localization algorithm of the underground shallow vibration signal based on the network sensor. In order to solve the problem of locating shallow ground seismic source, a distributed (TDOA) model of moveout location without predictive velocity is constructed by using the traveling time of source signal. The least square method, Chan's algorithm and Taylor,Newton, are analyzed and studied. On the basis of traditional target location algorithm such as quasi Newton, genetic algorithm, particle swarm optimization algorithm and so on, a particle swarm hybrid localization algorithm based on swarm beam-time difference information is proposed. The particle swarm selection strategy is improved by improving the particle swarm selection strategy. Strengthen the relevance of search space, the heterogeneity, to achieve a high-precision location of the underground earthquake source; According to the characteristics of underground seismic source wave propagation and polarization characteristics of group wave velocity, an improved adaptive weighted fusion algorithm is proposed, which can eliminate invalid localization data from singular sensor nodes. The optimal location is realized in the solution space of underground seismic source location. The field test results show that the location accuracy of the 3D location of the underground seismic source can reach 0.2 m in the shallow region of 20m*20m*3m, and the propagation velocity of the underground medium can be calculated.
【學(xué)位授予單位】:中北大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:P631.4;TP212
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 馬建軍,程良奎,蔡路軍;爆破應(yīng)力波的傳播及其遠(yuǎn)區(qū)破壞效應(yīng)研究現(xiàn)狀述評[J];爆破;2005年02期
2 王國斌;利奕年;楊文東;;爆炸應(yīng)力波傳播規(guī)律與TSP基本原理分析[J];爆破;2010年02期
3 諸燕平;黃大慶;李勃;;基于AOA的無線傳感器網(wǎng)絡(luò)節(jié)點(diǎn)定位算法[J];傳感器與微系統(tǒng);2010年01期
4 劉利軍;韓焱;;基于最小二乘法的牛頓迭代信源定位算法[J];彈箭與制導(dǎo)學(xué)報(bào);2006年03期
5 田增山,申文求,鄭毅;無線定位系統(tǒng)的誤差分析[J];電信科學(xué);2005年06期
6 吳佳棟;朱杰;;基于TDOA方法的地面無線定位系統(tǒng)設(shè)計(jì)與分析[J];電子測量技術(shù);2009年03期
7 夏致晰;張生余;涂建剛;;爆炸應(yīng)力波在層狀巖體中的傳播與衰減[J];河南科學(xué);2007年05期
8 陳穎麗;劉繁明;王建敏;;LabWindows/CVI中基于ActiveX技術(shù)的Excel訪問[J];測控技術(shù);2008年06期
9 張福波,張志偉,劉光軍;LabWindows/CVI環(huán)境下調(diào)用MATLAB函數(shù)的實(shí)現(xiàn)方法[J];機(jī)床與液壓;2004年08期
10 張美戀;基于遺傳算法和單純形法的混合優(yōu)化算法[J];集美大學(xué)學(xué)報(bào)(自然科學(xué)版);2001年02期
相關(guān)博士學(xué)位論文 前2條
1 姚金杰;基于地面基站的目標(biāo)定位技術(shù)研究[D];中北大學(xué);2011年
2 劉逸;粒子群優(yōu)化算法的改進(jìn)及應(yīng)用研究[D];西安電子科技大學(xué);2013年
本文編號:2350549
本文鏈接:http://sikaile.net/kejilunwen/diqiudizhi/2350549.html