空間群目標(biāo)下多假設(shè)跟蹤方法研究
發(fā)布時(shí)間：2019-01-20 10:48
【摘要】：彈道導(dǎo)彈在彈道中段通常有誘餌、干擾機(jī)及發(fā)射碎片等伴飛,形成一個(gè)龐大的威脅目標(biāo)群,群內(nèi)目標(biāo)間隔不大,并保持大致相同的空間運(yùn)動(dòng)軌跡。地基雷達(dá)作為對(duì)中段目標(biāo)的主要監(jiān)測(cè)手段,在采用傳統(tǒng)的多目標(biāo)跟蹤方法對(duì)密集空間群目標(biāo)進(jìn)行跟蹤時(shí),由于資源有限,造成個(gè)體目標(biāo)的跟蹤信息誤差極大甚至缺失。因此,研究空間群目標(biāo)中的單個(gè)目標(biāo)航跡跟蹤,對(duì)提高彈道導(dǎo)彈防御雷達(dá)的多目標(biāo)跟蹤能力,以及分析彈道導(dǎo)彈突防效能具有十分重要的意義。本文首先分析了彈道中段空間群目標(biāo)的形成原因,并簡(jiǎn)述了這種特殊的密集群目標(biāo)運(yùn)動(dòng)特點(diǎn)。其后,本文對(duì)常用的群目標(biāo)跟蹤理論進(jìn)行了介紹和分析。對(duì)涉及目標(biāo)跟蹤中的數(shù)據(jù)關(guān)聯(lián)算法和跟蹤濾波算法,本文進(jìn)行了簡(jiǎn)要介紹和分析,為后面空間群目標(biāo)下的的多假設(shè)跟蹤算法研究奠定了理論基礎(chǔ)。其后,本文提出了基于群內(nèi)聚類的群中心跟蹤方法(IGC-SGT),顯著提高了群整體跟蹤的穩(wěn)定性。針對(duì)群內(nèi)目標(biāo)的波動(dòng)和誤差嚴(yán)重影響群中心穩(wěn)定性的問(wèn)題,IGC-SGT算法改進(jìn)了群內(nèi)聚類方法,充分利用群內(nèi)聚類的跟蹤,獲取群內(nèi)目標(biāo)的分布情況,從而提高了群中心的計(jì)算穩(wěn)定性。仿真試驗(yàn)表明,與傳統(tǒng)群中心算法相比,IGC-SGT算法提高了目標(biāo)誤差和雜波較大情況下,群目標(biāo)整體跟蹤的可靠性和有效性,并為后續(xù)群內(nèi)單目標(biāo)的跟蹤提供了穩(wěn)定且可靠的群運(yùn)動(dòng)信息。然后,本文針對(duì)群內(nèi)單個(gè)目標(biāo)跟蹤困難的問(wèn)題,提出了一種空間群目標(biāo)下改進(jìn)的多假設(shè)跟蹤方法——GMHT算法。該算法利用近地軌道空間群目標(biāo)(如彈道導(dǎo)彈中段群目標(biāo))運(yùn)動(dòng)整體信息,結(jié)合多假設(shè)跟蹤算法的優(yōu)勢(shì),建立了基于空間群目標(biāo)的假設(shè)生成方法、得分計(jì)算和剪枝策略,設(shè)計(jì)了完整的算法流程。仿真試驗(yàn)證明,與傳統(tǒng)的多目標(biāo)關(guān)聯(lián)跟蹤算法相比,本文所提算法能根據(jù)整體運(yùn)動(dòng)趨勢(shì)自適應(yīng)調(diào)整群內(nèi)目標(biāo)與量測(cè)的關(guān)聯(lián),提高單目標(biāo)的關(guān)聯(lián)精度,減小虛漏警和雜波在跟蹤空間密集群目標(biāo)時(shí)的干擾,提高了空間群目標(biāo)的跟蹤性能。最后,本文基于前兩章的研究成果,利用MATLAB GUI設(shè)計(jì)實(shí)現(xiàn)了空間群目標(biāo)數(shù)據(jù)處理系統(tǒng),完整解決空間密集群目標(biāo)的跟蹤問(wèn)題。該系統(tǒng)融合了本文提IGC-SGT算法和GMHT算法,可模擬空間群目標(biāo)的真實(shí)航跡,仿真雷達(dá)信號(hào)處理中的虛漏警概率情況。實(shí)驗(yàn)結(jié)果表明,在密集空間群目標(biāo)下,當(dāng)目標(biāo)數(shù)目從8增加到16個(gè)時(shí),嵌入了IGC-GMHT算法的空間群目標(biāo)數(shù)據(jù)處理系統(tǒng),能夠在空間群目標(biāo)環(huán)境中,提取精確穩(wěn)定的群運(yùn)動(dòng)信息,并穩(wěn)定跟蹤群內(nèi)單個(gè)目標(biāo),其跟蹤誤差和穩(wěn)定性均優(yōu)于傳統(tǒng)多目標(biāo)跟蹤算法。
[Abstract]:Ballistic missiles are usually accompanied by decoys, jammers and launch debris in the middle of the trajectory, forming a large group of threat targets, with small distances and approximately the same trajectory in space. Ground-based radar is the main monitoring method for the middle target. When the traditional multi-target tracking method is used to track the dense space group target, the tracking information error of the individual target is extremely large or even missing due to the limited resources. Therefore, it is very important to study the track tracking of a single target in space group to improve the multi-target tracking capability of ballistic missile defense radar and to analyze the penetration effectiveness of ballistic missile. In this paper, the causes of formation of space group targets in the middle part of trajectory are analyzed, and the motion characteristics of this special dense group targets are briefly described. Then, the common theory of group target tracking is introduced and analyzed. This paper briefly introduces and analyzes the data association algorithm and tracking filtering algorithm for target tracking, which lays a theoretical foundation for the research of multi-hypothesis tracking algorithm under the background space group target. Then, a cluster center tracking method (IGC-SGT) based on cluster clustering is proposed, which improves the stability of group global tracking. Aiming at the problem that the fluctuation and error of the target in the group seriously affect the stability of the cluster center, the IGC-SGT algorithm improves the cluster clustering method, and makes full use of the tracking of the cluster clustering to obtain the distribution of the target in the group. Thus the computational stability of the group center is improved. The simulation results show that compared with the traditional group center algorithm, the IGC-SGT algorithm improves the reliability and effectiveness of the whole tracking of the group target under the condition of large target error and clutter. It also provides stable and reliable group motion information for the tracking of single targets in subsequent groups. Then, aiming at the difficulty of tracking a single target in a group, an improved multi-hypothesis tracking method called GMHT algorithm is proposed. Based on the global motion information of space group targets in low Earth orbit (such as ballistic missile) and the advantages of multi-hypothesis tracking algorithm, a hypothesis generation method, score calculation and pruning strategy based on space group targets are proposed. A complete algorithm flow is designed. The simulation results show that compared with the traditional multi-target association tracking algorithm, the proposed algorithm can adaptively adjust the correlation between the target and the measurement according to the overall motion trend, and improve the correlation accuracy of the single target. The tracking performance of space group targets is improved by reducing the interference of false alarm and clutter in tracking dense group targets. Finally, based on the research results of the first two chapters, this paper designs and implements the spatial group target data processing system by using MATLAB GUI, which solves the problem of tracking the spatial dense group target completely. This system combines IGC-SGT algorithm and GMHT algorithm in this paper. It can simulate the real track of space group targets and simulate the false alarm probability in radar signal processing. The experimental results show that when the number of targets increases from 8 to 16, the spatial group target data processing system embedded with IGC-GMHT algorithm can extract accurate and stable group motion information in the environment of spatial group target. The tracking error and stability of a single target in a stable tracking group are better than those of the traditional multi-target tracking algorithm.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TJ761.3;TN953
本文編號(hào)：2411971
[Abstract]:Ballistic missiles are usually accompanied by decoys, jammers and launch debris in the middle of the trajectory, forming a large group of threat targets, with small distances and approximately the same trajectory in space. Ground-based radar is the main monitoring method for the middle target. When the traditional multi-target tracking method is used to track the dense space group target, the tracking information error of the individual target is extremely large or even missing due to the limited resources. Therefore, it is very important to study the track tracking of a single target in space group to improve the multi-target tracking capability of ballistic missile defense radar and to analyze the penetration effectiveness of ballistic missile. In this paper, the causes of formation of space group targets in the middle part of trajectory are analyzed, and the motion characteristics of this special dense group targets are briefly described. Then, the common theory of group target tracking is introduced and analyzed. This paper briefly introduces and analyzes the data association algorithm and tracking filtering algorithm for target tracking, which lays a theoretical foundation for the research of multi-hypothesis tracking algorithm under the background space group target. Then, a cluster center tracking method (IGC-SGT) based on cluster clustering is proposed, which improves the stability of group global tracking. Aiming at the problem that the fluctuation and error of the target in the group seriously affect the stability of the cluster center, the IGC-SGT algorithm improves the cluster clustering method, and makes full use of the tracking of the cluster clustering to obtain the distribution of the target in the group. Thus the computational stability of the group center is improved. The simulation results show that compared with the traditional group center algorithm, the IGC-SGT algorithm improves the reliability and effectiveness of the whole tracking of the group target under the condition of large target error and clutter. It also provides stable and reliable group motion information for the tracking of single targets in subsequent groups. Then, aiming at the difficulty of tracking a single target in a group, an improved multi-hypothesis tracking method called GMHT algorithm is proposed. Based on the global motion information of space group targets in low Earth orbit (such as ballistic missile) and the advantages of multi-hypothesis tracking algorithm, a hypothesis generation method, score calculation and pruning strategy based on space group targets are proposed. A complete algorithm flow is designed. The simulation results show that compared with the traditional multi-target association tracking algorithm, the proposed algorithm can adaptively adjust the correlation between the target and the measurement according to the overall motion trend, and improve the correlation accuracy of the single target. The tracking performance of space group targets is improved by reducing the interference of false alarm and clutter in tracking dense group targets. Finally, based on the research results of the first two chapters, this paper designs and implements the spatial group target data processing system by using MATLAB GUI, which solves the problem of tracking the spatial dense group target completely. This system combines IGC-SGT algorithm and GMHT algorithm in this paper. It can simulate the real track of space group targets and simulate the false alarm probability in radar signal processing. The experimental results show that when the number of targets increases from 8 to 16, the spatial group target data processing system embedded with IGC-GMHT algorithm can extract accurate and stable group motion information in the environment of spatial group target. The tracking error and stability of a single target in a stable tracking group are better than those of the traditional multi-target tracking algorithm.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TJ761.3;TN953
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，本文編號(hào)：2411971
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