【摘要】：針對海上節(jié)點(diǎn)隨海浪運(yùn)動(dòng)的情形,提出一種基于自適應(yīng)與軌跡預(yù)測的移動(dòng)節(jié)點(diǎn)定位算法(Adaptive and Trajectory Prediction Localization Algorithm,ATPLA)。首先,基于海域信標(biāo)節(jié)點(diǎn)運(yùn)動(dòng)情況求得海域節(jié)點(diǎn)運(yùn)動(dòng)相關(guān)性系數(shù),并以此建立參數(shù)自適應(yīng)移動(dòng)節(jié)點(diǎn)運(yùn)動(dòng)模型,預(yù)測未知節(jié)點(diǎn)運(yùn)動(dòng)軌跡;隨后,提出改進(jìn)型蒙特卡羅定位方法,優(yōu)化采樣區(qū)域和樣本點(diǎn)權(quán)重;最后,基于未知節(jié)點(diǎn)與其一跳、兩跳信標(biāo)節(jié)點(diǎn)相對位置進(jìn)行過濾。仿真結(jié)果表明:ATPLA在信標(biāo)節(jié)點(diǎn)密度低、節(jié)點(diǎn)運(yùn)動(dòng)速度大等情況下具有良好的定位效能,能提高海上動(dòng)態(tài)節(jié)點(diǎn)的定位能力,進(jìn)而提高海上搜救的效率和成功率。
[Abstract]:This paper presents a mobile node localization algorithm (Adaptive and Trajectory Prediction Localization Algorithm,ATPLA) based on adaptive and trajectory prediction for marine nodes moving with waves. Firstly, based on the motion of sea beacon nodes, the motion correlation coefficient of sea nodes is obtained, and a parameter adaptive moving node motion model is established to predict the motion trajectory of unknown nodes. Then, an improved Monte Carlo localization method is proposed to optimize the sampling region and the weight of the sample points. Finally, based on the unknown node and its one-hop, the relative position of the two-hop beacon node is filtered. The simulation results show that ATPLA has good localization efficiency under the condition of low density of beacon nodes and high speed of node movement. It can improve the positioning ability of dynamic nodes at sea and then improve the efficiency and success rate of maritime search and rescue.
【作者單位】： 上海海事大學(xué)商船學(xué)院;中國(上海)自貿(mào)區(qū)供應(yīng)鏈研究院;
【基金】：國家自然科學(xué)基金(51279099) 上海市科學(xué)技術(shù)委員會基金(12ZR1412500) 上海市教委科研創(chuàng)新基金(13ZZ124) 上海市教育委員會和上海市教育發(fā)展基金會“曙光計(jì)劃”基金(12SG40) 交通運(yùn)輸部應(yīng)用基礎(chǔ)研究項(xiàng)目(2013329810300)
【分類號】：U676.8

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