【摘要】：在衛(wèi)星通信系統(tǒng)中,由于衛(wèi)星信號本身易受干擾的特點,以及針對性很強的干擾技術的存在,衛(wèi)星通信系統(tǒng)的抗干擾技術是不可或缺的。這其中自適應抗干擾算法是其中的研究重點,自適應算法應用在抗干擾領域的時間不長,它是從雷達系統(tǒng)抗干擾技術借鑒過來的,所以根據(jù)衛(wèi)星通信系統(tǒng)自身的特點還有許多需要改進,例如算法的收斂速度,計算復雜度,干擾抑制度等。針對上述方面本文在研究項目的同時分別對遞推最小二乘法(RLS)和采樣矩陣直接求逆法(SMI)進行了深入的學習。首先介紹了算法仿真平臺模型的建立,分別從衛(wèi)星信號的特點,接收天線陣的構型及在抗干擾波束形成前的預處理模塊等三方面建立仿真平臺。然后在此平臺上進行空域抗干擾技術的兩種自適應算法(RLS和SMI)及其改進算法的仿真分析,結合原理推導和仿真結果,分別對這四種算法進行算法收斂度和干擾抑制度的比較,進而說明改進算法在硬件實現(xiàn)工程應用方面的優(yōu)越性。其次結合空時域抗干擾技術,以降低算法復雜度為目的,將時域輸入信號利用快速傅里葉變換到頻域進行分批處理,在空域結合數(shù)字多波束技術提高天線接收信號的增益,這樣既達到提高天線陣抗干擾的個數(shù),即增加自由度,又在降低自適應算法的復雜度同時提高了天線陣接收信號的增益。最后,主要介紹了空頻自適應算法的硬件實現(xiàn),借助Xilinx公司的FPGA開發(fā)軟件ISE12.4和MATILAB聯(lián)合仿真的平臺,運用VHDL硬件語言進行編程對算法的各個模塊進行時序仿真驗證算法的有效性。
[Abstract]:In the satellite communication system, the anti-jamming technology of the satellite communication system is indispensable because of the characteristic that the satellite signal is vulnerable to interference and the existence of the jamming technology with strong pertinence. Among them, adaptive anti-jamming algorithm is the focus of research. The application of adaptive algorithm in the field of anti-jamming is not long, and it is drawn from the anti-jamming technology of radar system. Therefore, there are still many improvements to be made according to the characteristics of the satellite communication system, such as the convergence rate of the algorithm, computational complexity, interference suppression system, and so on. In this paper, the recursive least square method (RLS) and the sampling matrix direct inverse method (SMI) are studied in this paper. Firstly, the modeling of algorithm simulation platform is introduced. The simulation platform is built from three aspects: the characteristics of satellite signal, the configuration of receiving antenna array and the pre-processing module before anti-jamming beamforming. Then two adaptive algorithms (RLS and SMI) and their improved algorithms are simulated and analyzed on this platform. The convergence degree and interference suppression degree of the four algorithms are compared respectively, and the superiority of the improved algorithm in the engineering application of hardware implementation is illustrated. Secondly, in order to reduce the complexity of the algorithm, the input signal in time domain is processed in batches by using fast Fourier transform to frequency domain, and the gain of antenna receiving signal is improved by combining digital multi-beam technology with spatial domain. In this way, the number of antenna array anti-interference is increased, that is, the degree of freedom is increased, and the complexity of adaptive algorithm is reduced, and the receiving signal gain of antenna array is improved. Finally, the hardware implementation of space-frequency adaptive algorithm is introduced, and the platform of joint simulation of ISE12.4 and MATILAB is developed with the help of FPGA of Xilinx Company. The validity of the algorithm is verified by using VHDL hardware language to program each module of the algorithm.
【學位授予單位】：哈爾濱工程大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN927.2

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8 何，

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