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扩频通信窄带干扰抑制技术研究

发布时间:2018-11-27 07:19
【摘要】:在当前的无线通信系统中,直接序列扩频(DSSS)被广泛应用,其拥有一定的处理增益,这也正是其具有抗干扰能力的主要因素。通信系统中会存在众多干扰,其中经常性存在的有窄带干扰,假如其干扰强度较大并且极具复杂性,而处理增益无法自行解决时,整个系统就很难进行工作。那么该怎样将窄带干扰抑制技术引入系统并提升系统的抗干扰能力是目前DSSS最主要的技术之一,在未来有很大的发展空间和前景。根据以上所述,本篇论文主要进行如下研究:(1)介绍DSSS通信系统的简单模型,分析了整个信号处理的过程,阐明了处理增益和抗干扰能力的关系。在此基础上描述了系统中最常见的窄带干扰,并对扩频通信系统的抗干扰能力进行分析,进一步说明了引入抗干扰技术的必要性。(2)根据系统模型来对变化域和时域窄带干扰抑制技术进行研究,并设计了频域和时域的预测技术,针对不同的窄带干扰,所设计的技术也各不相同,同时针对不同设计的技术进行仿真研究和性能对比。(3)针对传统的滤波器进行缺陷分析,同时针对其存在的不足和问题设计了采用变抽头间隔的预测滤波器结构并阐述了相关原理。在不同的窄带干扰之下对改进后的滤波器进行研究并对比分析。(4)针对频域处理和改进的时域处理进行性能仿真对比,在对其进行对比的同时考虑系统所处的工作环境、所用资源、抗干扰要求等,鉴于多种考虑我们使用了7阶时域变抽头间隔适应线性预测滤波的方法来达到抑制窄带干扰的目的。同时进行系统测试和调节,得到的结果和理论分析保持一致。论文研究结果表明,改进后的预测器提升了系统的抗窄带干扰能力,这也是预测滤波器在实际中的有效运用。
[Abstract]:In the current wireless communication systems, direct sequence spread spectrum (DSS) (DSSS) is widely used, which has a certain processing gain, which is the main factor of its anti-jamming ability. There are many interference in the communication system, among which there is a narrow band interference. If the interference intensity is large and the processing gain can not be solved by itself, the whole system will be difficult to work. So how to introduce the narrowband interference suppression technology into the system and improve the anti-jamming ability of the system is one of the most important technologies of DSSS at present, which has great development space and prospect in the future. According to the above, this paper mainly studies as follows: (1) introduce the simple model of DSSS communication system, analyze the whole process of signal processing, and clarify the relationship between processing gain and anti-jamming ability. On this basis, the most common narrowband interference in the system is described, and the anti-jamming ability of the spread spectrum communication system is analyzed. The necessity of introducing anti-jamming technology is further explained. (2) according to the system model, the narrowband interference suppression technology in variable domain and time domain is studied, and the prediction techniques in frequency domain and time domain are designed, aiming at different narrowband interference. At the same time, the simulation research and performance comparison of different design technology are carried out. (3) the defect analysis of traditional filter is carried out. At the same time, the structure of predictive filter with variable tap interval is designed and the related principle is explained. Under different narrowband interference, the improved filter is studied and compared. (4) the performance of frequency domain processing and improved time domain processing are simulated and compared, and the working environment of the system is considered while comparing them. In view of various considerations we use a 7-order time-domain variable tap interval adaptive linear predictive filtering method to suppress narrowband interference. At the same time, the system is tested and adjusted, and the results are consistent with the theoretical analysis. The research results show that the improved predictor improves the ability of the system to resist narrowband interference, which is also an effective application of the predictive filter in practice.
【学位授予单位】:南京理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TN914.42

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