【摘要】：多平臺下無源定位隱蔽性好,戰(zhàn)場生存能力強,受到該領(lǐng)域內(nèi)研究者們的青睞。但傳統(tǒng)的無源定位方式已無法滿足人們對目標(biāo)定位精度的要求,特別是目標(biāo)距離較遠(yuǎn),環(huán)境惡劣時,定位精度很低。提高無源定位在惡劣條件下的定位精度已成為該領(lǐng)域的研究熱點。針對分布式相控陣列,本文深入研究了基于ESPRIT(estimating signal parameter via rotational invariance techniques)的無源定位技術(shù),提出基于ESPRTI的目標(biāo)定位方法,該方法可以同時對多個目標(biāo)進行定位,且定位精度較高。論文的主要工作包括:1.提出一種基于ESPRIT的分布式相控陣列單目標(biāo)定位方法。推導(dǎo)了單目標(biāo)定位的搜索譜函數(shù),給出了ESPRIT單目標(biāo)定位方法的實現(xiàn)流程,分析了信噪比、布陣半徑、目標(biāo)遠(yuǎn)近及陣元個數(shù)對目標(biāo)定位精度的影響,實驗結(jié)果表明:信噪比越大、布陣半徑越大、目標(biāo)距離越近、陣元數(shù)越多定位越精確。對比了ESPRIT單目標(biāo)定位與純角度定位兩種方法,仿真結(jié)果表明:低信噪比下,本文所提方法能獲得更高的定位精度。2.提出一種基于ESPRIT的分布式相控陣列多目標(biāo)搜索定位方法。推導(dǎo)了多目標(biāo)定位的搜索譜函數(shù),給出了基于ESPRIT的多目標(biāo)搜索定位方法的實現(xiàn)流程,分析了信噪比、布陣半徑、目標(biāo)遠(yuǎn)近及陣元個數(shù)對多目標(biāo)定位精度的影響,得到與單目標(biāo)定位相同的結(jié)論,進一步給出了目標(biāo)個數(shù)對定位精度的影響。3.研究一種基于ESPRIT的多目標(biāo)匹配定位方法。將多個目標(biāo)通過角度信息匹配進行分離,并將多目標(biāo)定位轉(zhuǎn)換為單目標(biāo)定位,在減小計算量的同時也提高定位精度。仿真結(jié)果表明:多目標(biāo)匹配定位比多目標(biāo)搜索定位的精度更高、時效性更好。
[Abstract]:Passive location in multi-platform has good concealment and strong battlefield survivability, so it is favored by researchers in this field. However, the traditional passive location method can not meet the requirements of target positioning accuracy, especially when the target is far away, and the location accuracy is very low when the environment is bad. Improving the accuracy of passive location under bad conditions has become a hotspot in this field. For distributed phased array, the passive location technology based on Esprit (estimating signal parameter via rotational invariance techniques) is studied in this paper, and a target localization method based on Esprit is proposed. This method can locate multiple targets simultaneously, and the accuracy is high. The main work of the thesis includes 1: 1. A single target location method for distributed phased array based on Esprit is proposed. The search spectrum function of single target location is derived, and the realization flow of Esprit single target localization method is given. The influence of SNR, array radius, target distance and number of array elements on target localization accuracy is analyzed. The experimental results show that the greater the SNR is, the greater the SNR is. The larger the array radius is, the closer the target is, and the more the number of elements is, the more accurate the location is. The Esprit single target localization method and pure angle positioning method are compared. The simulation results show that the proposed method can achieve a higher accuracy of location at low SNR. This paper presents an Esprit-based multi-target search and location method for distributed phased array columns. The search spectrum function of multi-target location is derived, and the realization flow of multi-target search and localization method based on Esprit is given. The influence of SNR, array radius, target distance and number of array elements on the accuracy of multi-target location is analyzed. The same conclusion as that of single target location is obtained, and the effect of the number of targets on the positioning accuracy is further given. A multi-target matching localization method based on Esprit is studied. The multiple targets are separated by angle information matching, and the multi-target positioning is converted to single target location, which can reduce the computation cost and improve the positioning accuracy. The simulation results show that the accuracy of multi-target matching localization is higher than that of multi-target search location, and the timeliness is better.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN95

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本文編號：2138408