本文關(guān)鍵詞：基于時(shí)差法的無(wú)源定位跟蹤技術(shù)　出處：《西安電子科技大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 無(wú)源定位跟蹤 時(shí)差定位 定位精度 無(wú)跡卡爾曼濾波

【摘要】：在現(xiàn)代信息化戰(zhàn)爭(zhēng)環(huán)境中,隨著電子對(duì)抗和防御技術(shù)的不斷發(fā)展,傳統(tǒng)的有源定位跟蹤系統(tǒng)在隱蔽性、抗干擾性、生存能力等方面所面臨的威脅越來(lái)越嚴(yán)重,作為對(duì)有源定位系統(tǒng)的補(bǔ)充和完善,無(wú)源定位跟蹤系統(tǒng)由于其設(shè)備簡(jiǎn)單、隱蔽性好、作用距離遠(yuǎn)、生存能力強(qiáng)等優(yōu)點(diǎn)越來(lái)越受到國(guó)內(nèi)外軍事強(qiáng)國(guó)的關(guān)注。本課題圍繞無(wú)源定位技術(shù)及其跟蹤算法展開(kāi)研究。從定位原理、跟蹤濾波算法和系統(tǒng)模型建立等方面進(jìn)行了詳細(xì)的研究和仿真分析。本文對(duì)基于時(shí)差法的無(wú)源定位跟蹤技術(shù)進(jìn)行了研究。首先介紹了無(wú)源定位系統(tǒng),詳細(xì)研究了時(shí)差法多站無(wú)源定位的基本原理及其定位算法,并對(duì)定位精度進(jìn)行了分析,通過(guò)仿真驗(yàn)證了影響定位精度的因素。其次針對(duì)無(wú)源定位跟蹤的問(wèn)題,介紹了非線性濾波算法中的擴(kuò)展卡爾曼濾波算法和無(wú)跡卡爾曼濾波算法,列出了兩種濾波算法的具體實(shí)現(xiàn)步驟,并通過(guò)仿真比較了兩種算法的跟蹤性能。針對(duì)目標(biāo)的機(jī)動(dòng)性問(wèn)題,介紹了幾種運(yùn)動(dòng)模型的基本原理以及實(shí)現(xiàn)步驟,通過(guò)仿真分析比較了各個(gè)模型在跟蹤目標(biāo)運(yùn)動(dòng)過(guò)程中的跟蹤誤差。最后,介紹了基于無(wú)跡卡爾曼濾波(Unscented Kalman Filter,UKF)的交互式多模型濾波算法,通過(guò)多個(gè)濾波器并行運(yùn)算,對(duì)不同運(yùn)動(dòng)模型下的目標(biāo)進(jìn)行跟蹤,能夠有效的跟蹤機(jī)動(dòng)目標(biāo),并通過(guò)仿真比較了兩種交互式模型對(duì)目標(biāo)的跟蹤性能以及各模型的使用概率情況,得到了一種比較好的目標(biāo)跟蹤模型算法。
[Abstract]:In the modern information war environment, with the continuous development of electronic countermeasures and defense technology, the traditional active positioning and tracking system is facing more and more serious threats in the aspects of concealment, anti-jamming, survivability and so on. As a supplement to the active positioning system, the passive positioning and tracking system has the advantages of simple equipment, good concealment and long operating distance. The advantages of strong survivability have been paid more and more attention by the military powers at home and abroad. This paper focuses on passive location technology and its tracking algorithm. The tracking filtering algorithm and system model are studied and simulated in detail. In this paper, the passive location and tracking technology based on time difference method is studied. Firstly, the passive location system is introduced. The basic principle and location algorithm of multi-station passive location with time difference method are studied in detail, and the positioning accuracy is analyzed. The factors that affect the positioning accuracy are verified by simulation. Secondly, the problem of passive location tracking is discussed. The extended Kalman filter algorithm and the unscented Kalman filter algorithm are introduced, and the implementation steps of the two filtering algorithms are listed. The tracking performance of the two algorithms is compared by simulation. Aiming at the maneuverability of the target, the basic principles and implementation steps of several motion models are introduced. Finally, the unscented Kalman Filter based on unscented Kalman filter is introduced. UKF interactive multi-model filtering algorithm, through the parallel operation of multiple filters to track the target under different moving models, can effectively track the maneuvering target. The tracking performance of two interactive models and the usage probability of each model are compared by simulation, and a better target tracking algorithm is obtained.
【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】：2014
【分類號(hào)】：TN95

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本文編號(hào)：1403778