本文關鍵詞： 智能天線 解相干DOA估計 最大似然估計TOA估計 角度變化率 Chan算法　出處：《中國礦業(yè)大學》2014年碩士論文　論文類型：學位論文

【摘要】：由于很多無線通信技術（如WCDMA、WIFI、ZIGBEE、藍牙等）受到井下巷道和工作面復雜多變環(huán)境的影響，通信性能較差，導致井下移動目標無線定位效果并不理想。為了解決井下多徑和非視距效應造成的無線網絡穩(wěn)定可靠性較差問題，本文將智能天線原理和WIFI通信網絡相結合，以智能天線接收機作為井下WIFI基站，可有效抑制巷道多徑和非視距效應對信號傳播的影響，提高DOA和TOA估計精度。同時，從理論上分析相關的DOA和TOA估計技術，并有針對性的探討和構建了井下無線定位相關理論模型和相關井下無線定位算法，其具體研究內容如下： 1．針對不同的巷道和工作面，分析信號傳播路徑衰減及其反射形式，建立覆蓋整個井下的無線網絡基站分布模型，并在此基礎上構建了基于DOA和TOA的聯合定位模型。 2．針對井下有限異質可變空間導致產生的相干信源干擾，重點分析基于解相干的DOA估計技術，分別采用前向平滑、前后向平滑和Toeplitz算法進行解相干處理，獲得高精度的DOA估計信息，并通過仿真分析表明：在井下相干信源干擾的DOA估計中，Toeplitz算法相比其他解相干技術具有更好的估計性能。 3．由于受到井下多徑、非視距和網絡時間同步的影響，導致到達時間延遲估計偏差較大，提出了一種最大似然TOA估計的迭代算法，通過將小數延時不斷迭代來縮小估計誤差，并做出仿真表明：采用50步長搜索，且進行一次迭代就可得到較高精度的TOA估計信息。 4．為了消除DOA和TOA測距誤差，根據基本單站定位原理，分別提出了基于角度變化率和單次反射的定位方法，并仿真分析了他們之間的定位性能。針對井下網絡時間同步帶來的TOA測距誤差影響，根據多基站定位原理，，分別提出了改進的Chan算法和加權修正的定位算法，仿真表明，改進的Chan算法相比其他算法具有更高的定位效果，并且應選擇距離移動節(jié)點較近且估計精度較高的基站聯合定位。
[Abstract]:Because many wireless communication technologies (such as WCDMA-WIFIZIGBEE, Bluetooth, etc.) are affected by the complex and changeable environment of underground roadway and working face, the communication performance is poor. In order to solve the problem of poor stability and reliability of wireless network caused by multi-path and non-line-of-sight effect, the principle of smart antenna and WIFI communication network are combined in this paper. Using the smart antenna receiver as the downhole WIFI base station can effectively suppress the influence of multi-path and non-line-of-sight effect on the signal propagation and improve the accuracy of DOA and TOA estimation. At the same time, the related DOA and TOA estimation techniques are analyzed theoretically. And the relevant theoretical model of underground wireless location and related underground wireless positioning algorithm are discussed and constructed. The specific research contents are as follows:. 1. For different roadways and working faces, the attenuation of signal propagation path and its reflection form are analyzed, and the distribution model of wireless network base station covering the whole mine is established, and the joint positioning model based on DOA and TOA is constructed. 2. Aiming at the interference of coherent source caused by the limited heterogeneity variable space, the DOA estimation technology based on decoherence is analyzed, and the forward smoothing, forward smoothing and Toeplitz algorithm are used to decolonize respectively. The DOA estimation information with high accuracy is obtained, and the simulation results show that the Toeplitz algorithm has better estimation performance than other decoherence techniques in the DOA estimation of coherent source interference. 3. Due to the influence of underground multipath, non-line-of-sight and network time synchronization, the error of arrival time delay estimation is large. An iterative algorithm of maximum likelihood TOA estimation is proposed, which reduces the estimation error by iterating the fractional delay. The simulation results show that the TOA estimation information with high accuracy can be obtained by using 50 step search and one iteration. 4. In order to eliminate the errors of DOA and TOA ranging, according to the basic principle of single-station positioning, the localization methods based on the rate of angular variation and single reflection are proposed, respectively. According to the location principle of multi-base station, the improved Chan algorithm and the weighted modified location algorithm are proposed, and the simulation results show that, according to the influence of the time synchronization of downhole network on the location error of TOA, an improved Chan algorithm and a weighted modified location algorithm are proposed, and the simulation results show that, The improved Chan algorithm has higher localization effect than other algorithms, and the base station which is close to the mobile node and has higher estimation accuracy should be selected.
【學位授予單位】：中國礦業(yè)大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN929.5

【參考文獻】

相關期刊論文 前10條

1 陳志菲;孫進才;侯宏;;寬帶DOA估計的類MUSIC波束形成算法[J];電子學報;2011年06期

2 孟令軍;王宏濤;夏善紅;;WSN節(jié)點聲測距TOA值頻域估計方法[J];電子與信息學報;2010年04期

3 桑懷勝,李崢嶸;智能天線的原理、自適應波束形成算法的研究進展與應用[J];國防科技大學學報;2001年06期

4 李海森;周天;朱志德;孫圣和;;前后向空間平滑對相關信號源的DOA估計性能[J];哈爾濱工業(yè)大學學報;2007年03期

5 王佳鑫;黃登山;;相干信號源DOA估計ESPRIT改進算法研究[J];計算機仿真;2010年02期

6 劉志高;李春文;邢智鵬;耿少博;戴文翰;丁青青;;巷道網絡全局定位系統關鍵技術分析與實驗[J];煤炭學報;2011年03期

7 韓東升;楊維;劉洋;張玉;;煤礦井下基于RSSI的加權質心定位算法[J];煤炭學報;2013年03期

8 董妮婭;;智能天線自適應盲波束成形算法研究[J];中國新通信;2010年05期

9 謝鑫;李國林;程國標;;基于降維子空間的多重信號分類快速算法[J];探測與控制學報;2010年03期

10 劉翔;宋常建;胡磊;鐘子發(fā);;基于無跡卡爾曼濾波的單站混合定位跟蹤算法[J];探測與控制學報;2012年03期

本文編號：1552666