基于空频多波束处理的自适应抗干扰天线技术研究
发布时间：2018-12-06 08:43
【摘要】：在卫星通信系统中,由于卫星信号本身易受干扰的特点,以及针对性很强的干扰技术的存在,卫星通信系统的抗干扰技术是不可或缺的。这其中自适应抗干扰算法是其中的研究重点,自适应算法应用在抗干扰领域的时间不长,它是从雷达系统抗干扰技术借鉴过来的,所以根据卫星通信系统自身的特点还有许多需要改进,例如算法的收敛速度,计算复杂度,干扰抑制度等。针对上述方面本文在研究项目的同时分别对递推最小二乘法(RLS)和采样矩阵直接求逆法(SMI)进行了深入的学习。首先介绍了算法仿真平台模型的建立,分别从卫星信号的特点,接收天线阵的构型及在抗干扰波束形成前的预处理模块等三方面建立仿真平台。然后在此平台上进行空域抗干扰技术的两种自适应算法(RLS和SMI)及其改进算法的仿真分析,结合原理推导和仿真结果,分别对这四种算法进行算法收敛度和干扰抑制度的比较,进而说明改进算法在硬件实现工程应用方面的优越性。其次结合空时域抗干扰技术,以降低算法复杂度为目的,将时域输入信号利用快速傅里叶变换到频域进行分批处理,在空域结合数字多波束技术提高天线接收信号的增益,这样既达到提高天线阵抗干扰的个数,即增加自由度,又在降低自适应算法的复杂度同时提高了天线阵接收信号的增益。最后,主要介绍了空频自适应算法的硬件实现,借助Xilinx公司的FPGA开发软件ISE12.4和MATILAB联合仿真的平台,运用VHDL硬件语言进行编程对算法的各个模块进行时序仿真验证算法的有效性。
[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.
【学位授予单位】：哈尔滨工程大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN927.2
[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.
【学位授予单位】：哈尔滨工程大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN927.2
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8 何，
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