本文關(guān)鍵詞：衛(wèi)星干擾源定位及干擾抑制技術(shù)研究　出處：《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： 衛(wèi)星干擾源定位 干擾抑制 相干信號 二維波達(dá)方向估計 自適應(yīng)波束形成算法

【摘要】：為解決衛(wèi)星通信中的干擾問題,應(yīng)充分利用時域、頻域或空域的抗干擾技術(shù)。相對于時頻域來說,空域抗干擾已成為干擾抑制的一個重要措施。為了消除惡意的或無意的射頻干擾信號,將干擾源定位技術(shù)與衛(wèi)星自適應(yīng)陣列波束形成技術(shù)有效地結(jié)合起來,將可以實現(xiàn)高性能的空域濾波。實現(xiàn)空域濾波的一個關(guān)鍵問題是:如何快速地定位估計,得到多個干擾源方向后再進(jìn)行調(diào)零。在此背景下,本文針對衛(wèi)星干擾源定位及干擾抑制技術(shù)從兩個方面展開研究:一是對來自地面的干擾源的定位估計;二是在對干擾源定位的基礎(chǔ)上,利用自適應(yīng)陣列數(shù)字波束形成(ADBF)技術(shù)來抑制或消除干擾。衛(wèi)星干擾源定位技術(shù)的一個新思路就是利用衛(wèi)星天線所具有的多波束覆蓋特性,實現(xiàn)單顆衛(wèi)星對干擾源的高精度高分辨率定位。在衛(wèi)星陣列天線所接收的信號基礎(chǔ)上,采用空間譜估計技術(shù)對其進(jìn)行處理,得到干擾源的波達(dá)方向(DOA),然后再根據(jù)星歷信息,可獲得準(zhǔn)確的地面干擾源的位置信息。利用衛(wèi)星多波束天線覆蓋特性實現(xiàn)干擾源定位的思路,在實現(xiàn)定位的同時,也為衛(wèi)星自適應(yīng)天線陣列的調(diào)零技術(shù)奠定了基礎(chǔ)。本文針對基于窄帶相干源信號模型的來波方向估計算法進(jìn)行研究,提出了兩種具有解相干能力的二維MUSIC改進(jìn)算法和二維ESPRIT改進(jìn)算法,并仿真分析了所提出算法對于相干信號的二維DOA估計性能。針對寬帶相干源信號模型的來波方向估計算法進(jìn)行研究,提出了一種基于角頻分離實現(xiàn)寬帶聚焦的相干二維DOA估計算法,可應(yīng)用到任意幾何平面的陣列結(jié)構(gòu)上。在DOA估計的基礎(chǔ)上,采用自適應(yīng)數(shù)字波束形成算法來抑制干擾。提出了一種修正的基于特征空間的多波束約束最小方差算法,該算法的輸出SINR較高,且在收斂速度快和低快拍下也有較好的性能,具有較強的穩(wěn)健性。
[Abstract]:In order to solve the interference problem in satellite communication, we should make full use of the anti-jamming technology in time domain, frequency domain or spatial domain, compared with time-frequency domain. In order to eliminate the malicious or unintentional radio frequency interference signal, the interference source location technology and the satellite adaptive array beamforming technology are effectively combined in order to eliminate the malicious or unintentional radio frequency interference signal. A key problem in the realization of spatial filtering is how to quickly locate and estimate multiple interference sources and then zero them. In this paper, the satellite interference source location and interference suppression technology are studied from two aspects: first, the location estimation of the interference source from the ground; The second is based on the location of the interference source. Adaptive array digital beamforming (ADBF) technique is used to suppress or eliminate interference. A new idea of satellite interference source localization is to utilize the multi-beam coverage characteristic of satellite antenna. On the basis of the signal received by the satellite array antenna, spatial spectrum estimation technique is used to process the interference source, and the DOA of the interference source is obtained. Then according to the ephemeris information, the accurate location information of the ground interference source can be obtained. The idea of realizing the location of the interference source by using the coverage characteristic of the satellite multi-beam antenna can be realized at the same time. It also lays a foundation for the zeroing technology of satellite adaptive antenna array. In this paper, the direction estimation algorithm based on narrowband coherent source signal model is studied. Two improved two-dimensional MUSIC algorithms and two dimensional ESPRIT improved algorithms with decoherence ability are proposed. The performance of the proposed algorithm for two-dimensional DOA estimation of coherent signals is analyzed by simulation, and the direction estimation algorithm for wideband coherent source signal model is studied. A coherent two-dimensional DOA estimation algorithm based on angular frequency separation for wideband focusing is proposed, which can be applied to the array structure of arbitrary geometric plane. Based on the DOA estimation, a coherent two-dimensional DOA estimation algorithm is proposed. Adaptive digital beamforming algorithm is used to suppress interference. A modified multi-beam constrained minimum variance algorithm based on feature space is proposed. The output SINR of the algorithm is high. It also has good performance and strong robustness under the condition of fast convergence and low fast shooting.
【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】：TN927.2

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本文編號：1434995