本文關(guān)鍵詞：衛(wèi)星干擾源定位與自適應(yīng)波束形成技術(shù)研究　出處：《電子科技大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 衛(wèi)星 干擾源定位 空域?yàn)V波 波達(dá)方向估計(jì) 自適應(yīng)波束形成

【摘要】：在衛(wèi)星通信中,衛(wèi)星平臺(tái)容易受到各種有意或無(wú)意的射頻干擾。近年來(lái),基于自適應(yīng)陣列天線的空域抗干擾技術(shù)被廣泛地應(yīng)用到衛(wèi)星通信系統(tǒng)中,以此來(lái)解決衛(wèi)星通信中的干擾問(wèn)題�？沼蚩垢蓴_技術(shù)的基本思想就是根據(jù)干擾和信號(hào)環(huán)境對(duì)各個(gè)天線陣元的加權(quán)系數(shù)值進(jìn)行自適應(yīng)調(diào)整,從而使天線方向圖的零陷位置與干擾源方向?qū)R,同時(shí)保證在期望信號(hào)方向上的方向圖增益最大。從空域?yàn)V波的角度,可以將干擾源定位技術(shù)和自適應(yīng)波束形成技術(shù)有效地結(jié)合起來(lái),從而實(shí)現(xiàn)高性能的空域?yàn)V波。因此,如何快速精確地估計(jì)出干擾源的來(lái)波方向信息和如何利用干擾源的來(lái)波方向進(jìn)行自適應(yīng)調(diào)零,是實(shí)現(xiàn)高性能空域?yàn)V波的兩個(gè)關(guān)鍵問(wèn)題。在此背景下,本文從干擾源定位和干擾抑制兩個(gè)方面展開(kāi)研究。在衛(wèi)星干擾源定位方面,空間譜估計(jì)技術(shù)為干擾源的高精度和高分辨定位奠定了堅(jiān)實(shí)的理論基礎(chǔ),在衛(wèi)星天線陣列接收信號(hào)的基礎(chǔ)上運(yùn)用空間譜估計(jì)技術(shù)可實(shí)現(xiàn)單顆衛(wèi)星對(duì)干擾源來(lái)波方向的精確估計(jì)。在干擾源的抑制方面,結(jié)合干擾源來(lái)波方向的先驗(yàn)信息,運(yùn)用自適應(yīng)波束形成技術(shù)可以實(shí)現(xiàn)在空域上對(duì)干擾源進(jìn)行抑制或消除。本文在均勻直線陣列所接收到的少量快拍數(shù)據(jù)的基礎(chǔ)上對(duì)窄帶信號(hào)的波達(dá)方向估計(jì)算法進(jìn)行研究,提出了一種基于擴(kuò)展偽協(xié)方差矩陣的DOA估計(jì)方法,一種基于矢量重構(gòu)的DOA估計(jì)方法以及一種基于奇異值分解和相干積累的DOA估計(jì)方法,擴(kuò)展了一類基于數(shù)據(jù)預(yù)處理的單快拍DOA估計(jì)方法,并仿真分析了幾種算法在相干干擾條件下的DOA估計(jì)性能。在均勻圓形陣列所接收的寬帶相干信號(hào)模型的基礎(chǔ)上,針對(duì)一類基于角頻分離的寬帶相干信號(hào)的DOA估計(jì)算法進(jìn)行改進(jìn),并針對(duì)陣列構(gòu)型對(duì)算法的性能進(jìn)行簡(jiǎn)要分析。在獲得干擾源DOA信息的前提下,對(duì)基于信號(hào)DOA估計(jì)信息的自適應(yīng)波束形成算法進(jìn)行研究,提出了一種基于不確定集和投影子空間的波束形成算法,以及一種改進(jìn)的多波束最小方差波束形成算法,且這兩種算法在陣列輸出SINR方面和穩(wěn)健性方面均具有較好的性能。
[Abstract]:In satellite communications, satellite platforms are vulnerable to various intentional or unintentional radio frequency interference. In recent years, spatial anti-jamming technology based on adaptive array antenna has been widely used in satellite communication systems. In order to solve the interference problem in satellite communication, the basic idea of spatial anti-jamming technology is to adaptively adjust the weighting coefficients of each antenna array element according to the interference and signal environment. In order to align the zero trapping position of the antenna pattern with the direction of the interference source and ensure the maximum gain of the pattern in the desired signal direction. The interference source location technology and adaptive beamforming technology can be effectively combined to achieve high performance spatial filtering. How to estimate the direction information of the interference source quickly and accurately and how to adjust the zero adaptively using the direction of the interference source are two key problems to realize the high performance spatial filtering. In this paper, the interference source location and interference suppression are studied. In satellite interference source location, the spatial spectrum estimation technology has laid a solid theoretical foundation for high precision and high resolution location of interference source. On the basis of receiving signals from satellite antenna array, the spatial spectrum estimation technique can be used to accurately estimate the direction of the interference source by a single satellite. In the aspect of interference source suppression, the prior information of the direction of the interference source can be combined. Adaptive beamforming technique can be used to suppress or eliminate interference sources in airspace. Based on a small amount of rapid-shot data received by a uniform linear array, the DOA estimation algorithm for narrowband signals is proposed in this paper. Research. A DOA estimation method based on extended pseudo covariance matrix, a DOA estimation method based on vector reconstruction and a DOA estimation method based on singular value decomposition and coherent integration are proposed. A class of DOA estimation methods based on data preprocessing are extended. The DOA estimation performance of several algorithms under coherent interference is analyzed by simulation, and based on the wideband coherent signal model received by uniform circular array. The DOA estimation algorithm for wideband coherent signals based on angle frequency separation is improved, and the performance of the algorithm is analyzed briefly according to array configuration. The DOA information of interference source is obtained. The adaptive beamforming algorithm based on signal DOA estimation information is studied, and a beamforming algorithm based on uncertain set and projection subspace is proposed. And an improved multibeam minimum variance beamforming algorithm is proposed. Both algorithms have good performance in the aspect of array output SINR and robustness.
【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】：2016
【分類號(hào)】：TN927.2

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 朱貴偉;;2014年國(guó)外軍用通信衛(wèi)星現(xiàn)狀分析[J];國(guó)際太空;2015年05期

2 毛維平;李國(guó)林;謝鑫;;單快拍數(shù)據(jù)預(yù)處理的相干信號(hào)波達(dá)方向估計(jì)[J];上海交通大學(xué)學(xué)報(bào);2014年10期

3 蔣柏峰;呂曉德;向茂生;;一種基于陣列接收信號(hào)重排的單快拍DOA估計(jì)方法[J];電子與信息學(xué)報(bào);2014年06期

4 劉寧;史浩山;郭淑霞;楊博;;基于虛擬陣列的ESPRIT相干信號(hào)DOA估計(jì)[J];西北工業(yè)大學(xué)學(xué)報(bào);2013年06期

5 王凌;李國(guó)林;謝鑫;;互耦效應(yīng)下用單快拍數(shù)據(jù)實(shí)現(xiàn)相干信源完全解相干和解耦合[J];電子與信息學(xué)報(bào);2012年10期

6 羅鈞;王強(qiáng);付麗;;改進(jìn)蜂群算法在平面度誤差評(píng)定中的應(yīng)用[J];光學(xué)精密工程;2012年02期

7 盧海杰;章新華;熊鑫;;流形分離在非均勻圓陣上的應(yīng)用[J];兵工學(xué)報(bào);2011年09期

8 馬亞紅;任登高;;國(guó)外軍事通信衛(wèi)星發(fā)展現(xiàn)狀及趨勢(shì)[J];國(guó)防科技;2011年02期

9 潘捷;周建江;汪飛;;基于流形分離技術(shù)的稀疏均勻圓陣快速DOA估計(jì)方法[J];電子與信息學(xué)報(bào);2010年04期

10 謝鑫;李國(guó)林;劉華文;;采用單次快拍數(shù)據(jù)實(shí)現(xiàn)相干信號(hào)DOA估計(jì)[J];電子與信息學(xué)報(bào);2010年03期

相關(guān)博士學(xué)位論文 前1條

1 于紅旗;寬帶信號(hào)陣列高分辨到達(dá)角估計(jì)技術(shù)研究[D];國(guó)防科學(xué)技術(shù)大學(xué);2007年

相關(guān)碩士學(xué)位論文 前4條

1 汪揚(yáng);相干干擾下自適應(yīng)陣列處理技術(shù)研究[D];杭州電子科技大學(xué);2013年

2 王科文;智能天線中的DOA估計(jì)和波束形成算法研究[D];華僑大學(xué);2012年

3 陳豐;Fourier變換在平面、柱、球陣波束形成和DOA估計(jì)中的應(yīng)用[D];浙江大學(xué);2006年

4 顧建峰;空間角度估計(jì)的陣列結(jié)構(gòu)及其算法的研究[D];電子科技大學(xué);2004年

，

本文編號(hào)：1372310