【摘要】：海洋生態(tài)已經(jīng)成為人類不可或缺的一部分,海洋經(jīng)濟(jì)也越來(lái)越受到各國(guó)的重視。與此同時(shí),海洋安全成為了國(guó)防建設(shè)的重要環(huán)節(jié)。本文就海上監(jiān)測(cè)設(shè)備高頻地波雷達(dá)(High Frequency Surface Wave Radar, HFSWR)與船舶白識(shí)別系統(tǒng)(Automatic Identification System, AIS)的信息融合關(guān)聯(lián)工作展開(kāi)研究。首先,將HFSWR與AIS系統(tǒng)的探測(cè)數(shù)據(jù)作為研究對(duì)象；然后,對(duì)兩種數(shù)據(jù)信息進(jìn)行特征提取、數(shù)據(jù)預(yù)處理、濾波更新、點(diǎn)跡關(guān)聯(lián)等處理；最后,通過(guò)處理結(jié)果得出目標(biāo)的合作與非合作狀態(tài)和其他相關(guān)信息。本文的研究目的是分析AIS與HFSWR所測(cè)數(shù)據(jù),結(jié)合二者的優(yōu)點(diǎn)得到信息互補(bǔ),通過(guò)合適的點(diǎn)跡關(guān)聯(lián)算法,實(shí)現(xiàn)對(duì)海上目標(biāo)的實(shí)時(shí)跟蹤和探測(cè)。通過(guò)信息融合減少重復(fù)跟蹤,提高探測(cè)效率,重點(diǎn)關(guān)注非合作目標(biāo),保障海上安全�；谘芯磕康�,本文研究的工作包括針對(duì)HFSWR與AIS兩種數(shù)據(jù)信息的特點(diǎn),提取兩種數(shù)據(jù)的特征參數(shù)。由于兩種信號(hào)源信號(hào)采集頻率不同,在時(shí)間維度用線性插值法與外推預(yù)測(cè)法來(lái)實(shí)現(xiàn)時(shí)間校準(zhǔn)。由于所處的坐標(biāo)系不同,采用球面坐標(biāo)系去實(shí)現(xiàn)空間統(tǒng)一。在數(shù)據(jù)預(yù)處理之后,利用相關(guān)分析統(tǒng)計(jì)法與粒子濾波概率數(shù)據(jù)濾波(PF-PDA)點(diǎn)跡關(guān)聯(lián)融合,對(duì)海上目標(biāo)進(jìn)行狀態(tài)評(píng)估。利用仿真環(huán)境與實(shí)時(shí)數(shù)據(jù),驗(yàn)證兩種算法的可行性與有效性。數(shù)據(jù)結(jié)果表明,算法具有一定的工程應(yīng)用價(jià)值和可行性。
[Abstract]:Marine ecology has become an indispensable part of human beings, and marine economy has been paid more and more attention by various countries. At the same time, maritime security has become an important link in national defense construction. In this paper, the information fusion association between high frequency surface wave radar (HFSWR) and Automatic Identification system (AIS) is studied. First, the detection data of HFSWR and AIS system are taken as the research objects; then, the feature extraction, data preprocessing, filtering and updating, point trace correlation and other processing of the two kinds of data information are carried out. By processing the results, the goal of the state of cooperation and non-cooperation and other relevant information. The purpose of this paper is to analyze the data measured by AIS and HFSWR, and to obtain complementary information by combining the advantages of the two, and to realize the real-time tracking and detection of marine targets by appropriate point trace association algorithm. Through information fusion to reduce repeat tracking, improve detection efficiency, focus on non-cooperative targets, to ensure maritime security. For the purpose of research, the work of this paper includes extracting the characteristic parameters of HFSWR and AIS according to the characteristics of HFSWR and AIS. Due to the difference of signal acquisition frequency between the two sources, linear interpolation and extrapolation prediction are used to calibrate the time in time dimension. Because the coordinate system is different, the spherical coordinate system is used to realize the spatial unification. After data preprocessing, correlation analysis statistics and particle filter probabilistic data filtering (PF-PDA) correlation fusion are used to evaluate the state of marine targets. Simulation environment and real-time data are used to verify the feasibility and effectiveness of the two algorithms. The results show that the algorithm has certain engineering application value and feasibility.
【學(xué)位授予單位】：內(nèi)蒙古大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TN958

【參考文獻(xiàn)】

相關(guān)期刊論文 前3條

1 馬如霞;孟小峰;;基于數(shù)據(jù)源分類可信性的真值發(fā)現(xiàn)方法研究[J];計(jì)算機(jī)研究與發(fā)展;2015年09期

2 李曉峰;王強(qiáng);;改進(jìn)的“最近鄰”航跡相關(guān)算法研究[J];電子科技;2008年07期

3 林長(zhǎng)川;孫騰達(dá);洪爰助;黃麗卿;東f ;;雷達(dá)與AIS目標(biāo)航跡模糊關(guān)聯(lián)算法與仿真[J];系統(tǒng)仿真學(xué)報(bào);2006年S2期

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本文編號(hào)：2139223