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 空域濾波 波達方向估計 自適應(yīng)波束形成

【摘要】：在衛(wèi)星通信中,衛(wèi)星平臺容易受到各種有意或無意的射頻干擾。近年來,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,以此來解決衛(wèi)星通信中的干擾問題�？沼蚩垢蓴_技術(shù)的基本思想就是根據(jù)干擾和信號環(huán)境對各個天線陣元的加權(quán)系數(shù)值進行自適應(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,同時保證在期望信號方向上的方向圖增益最大。從空域濾波的角度,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,從而實現(xiàn)高性能的空域濾波。因此,如何快速精確地估計出干擾源的來波方向信息和如何利用干擾源的來波方向進行自適應(yīng)調(diào)零,是實現(xiàn)高性能空域濾波的兩個關(guān)鍵問題。在此背景下,本文從干擾源定位和干擾抑制兩個方面展開研究。在衛(wèi)星干擾源定位方面,空間譜估計技術(shù)為干擾源的高精度和高分辨定位奠定了堅實的理論基礎(chǔ),在衛(wèi)星天線陣列接收信號的基礎(chǔ)上運用空間譜估計技術(shù)可實現(xiàn)單顆衛(wèi)星對干擾源來波方向的精確估計。在干擾源的抑制方面,結(jié)合干擾源來波方向的先驗信息,運用自適應(yīng)波束形成技術(shù)可以實現(xiàn)在空域上對干擾源進行抑制或消除。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)上對窄帶信號的波達方向估計算法進行研究,提出了一種基于擴展偽協(xié)方差矩陣的DOA估計方法,一種基于矢量重構(gòu)的DOA估計方法以及一種基于奇異值分解和相干積累的DOA估計方法,擴展了一類基于數(shù)據(jù)預(yù)處理的單快拍DOA估計方法,并仿真分析了幾種算法在相干干擾條件下的DOA估計性能。在均勻圓形陣列所接收的寬帶相干信號模型的基礎(chǔ)上,針對一類基于角頻分離的寬帶相干信號的DOA估計算法進行改進,并針對陣列構(gòu)型對算法的性能進行簡要分析。在獲得干擾源DOA信息的前提下,對基于信號DOA估計信息的自適應(yīng)波束形成算法進行研究,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)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TN927.2

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