發(fā)布時(shí)間：2018-06-22 11:54

  本文選題：組網(wǎng)雷達(dá) + 信號(hào)融合檢測(cè)　； 參考：《西安電子科技大學(xué)》2015年碩士論文

【摘要】：在現(xiàn)代戰(zhàn)爭(zhēng)中,戰(zhàn)場(chǎng)環(huán)境和目標(biāo)特征越來越復(fù)雜,單站雷達(dá)的生存正面臨嚴(yán)重威脅。雷達(dá)組網(wǎng)作為提高單站雷達(dá)生存能力的一種有效方案,可以提高雷達(dá)系統(tǒng)的跟蹤精度和抗干擾能力,提高目標(biāo)探測(cè)性能,從而實(shí)現(xiàn)對(duì)關(guān)鍵區(qū)域和目標(biāo)的有效預(yù)警探測(cè)。本文首先研究了雷達(dá)組網(wǎng)系統(tǒng)的目標(biāo)檢測(cè)算法與目標(biāo)跟蹤算法的基本理論,而后結(jié)合雷達(dá)組網(wǎng)的實(shí)際工作情況,開發(fā)了分布式網(wǎng)絡(luò)化雷達(dá)系統(tǒng)探測(cè)仿真系統(tǒng),為雷達(dá)組網(wǎng)系統(tǒng)的算法性能驗(yàn)證提供了實(shí)驗(yàn)平臺(tái)。本文首先闡述了課題的研究背景和意義,并介紹了論文的主要內(nèi)容和整體框架。在此基礎(chǔ)上,從以下三個(gè)方面對(duì)本文的主要內(nèi)容進(jìn)行介紹:第一部分,主要介紹了網(wǎng)絡(luò)化雷達(dá)協(xié)同探測(cè)的信號(hào)融合檢測(cè)技術(shù)和多傳感器目標(biāo)跟蹤技術(shù)。在信號(hào)融合檢測(cè)技術(shù)中研究了在噪聲功率已知和噪聲功率未知兩種情況下,分布式單元平均恒虛警檢測(cè)算法的目標(biāo)檢測(cè)性能;在多傳感器目標(biāo)跟蹤技術(shù)中分別研究了集中式目標(biāo)跟蹤算法和分布式航跡融合算法,并分析了每種算法的目標(biāo)跟蹤性能。第二部分,研究了分布式網(wǎng)絡(luò)化雷達(dá)組網(wǎng)協(xié)同探測(cè)仿真系統(tǒng)體系架構(gòu),依托本地局域網(wǎng)搭建了仿真平臺(tái),最終借助MATLAB實(shí)現(xiàn)了該仿真系統(tǒng)的軟件開發(fā)流程。該部分的主要工作包括仿真系統(tǒng)的架構(gòu)設(shè)計(jì),高分辨率地圖的顯示,系統(tǒng)子模塊建模,系統(tǒng)節(jié)點(diǎn)的信號(hào)處理流程以及并行程序的設(shè)計(jì)。第三部分,介紹了分布式網(wǎng)絡(luò)化雷達(dá)組網(wǎng)協(xié)同探測(cè)仿真系統(tǒng)軟件的安裝與使用方法,并對(duì)現(xiàn)有的信號(hào)融合檢測(cè)算法和多站目標(biāo)跟蹤算法的優(yōu)勢(shì)進(jìn)行了仿真演示。通過與單站的目標(biāo)檢測(cè)結(jié)果進(jìn)行比較,展現(xiàn)了分布式網(wǎng)絡(luò)化雷達(dá)協(xié)同探測(cè)的性能得益。最后,論文系統(tǒng)地總結(jié)了全文的工作,并指出了今后進(jìn)一步的研究方向。
[Abstract]:In modern warfare, the battlefield environment and target characteristics are more and more complex, and the survival of single-station radar is facing serious threat. As an effective scheme to improve the survivability of single station radar, radar network can improve the tracking accuracy and anti-jamming ability of radar system, improve the target detection performance, and realize the effective early warning detection of key areas and targets. In this paper, the basic theory of target detection algorithm and target tracking algorithm of radar netting system is studied firstly, and then the distributed networked radar system detection simulation system is developed according to the actual working conditions of radar network. The experimental platform is provided for the performance verification of radar netting system. In this paper, the background and significance of the research are described, and the main contents and the overall framework of the thesis are introduced. On this basis, the main contents of this paper are introduced from the following three aspects: in the first part, the signal fusion detection technology and multi-sensor target tracking technology of networked radar cooperative detection are introduced. In the signal fusion detection technology, the target detection performance of the distributed CFAR detection algorithm is studied under the condition of noise power and noise power. In the multi-sensor target tracking technology, the centralized target tracking algorithm and the distributed track fusion algorithm are studied, and the target tracking performance of each algorithm is analyzed. In the second part, the architecture of distributed networked radar network-based cooperative detection simulation system is studied, and the simulation platform is built based on local area network. Finally, the software development flow of the simulation system is realized by MATLAB. The main work of this part includes the architecture design of simulation system, the display of high-resolution map, the modeling of system sub-module, the signal processing flow of system node and the design of parallel program. In the third part, the software installation and application of distributed networked radar network-based cooperative detection simulation system are introduced, and the advantages of existing signal fusion detection algorithm and multi-station target tracking algorithm are demonstrated by simulation. The performance of distributed network-based radar cooperative detection is demonstrated by comparing the results of target detection with single station. Finally, the thesis systematically summarizes the work of the paper, and points out the future research direction.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TN957.51

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本文編號(hào)：2052750