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基于周期平稳特性的GPS自适应抗干扰技术研究
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摘要
作为诸多卫星导航系统中在技术上最具典型性的全球定位系统(Global Positioning System ,简称GPS),无论在军事领域还是民用领域都获得了成功的应用。然而由于卫星离地球很远,到达地面的卫星信号电平相当低,使GPS很容易受到各种有意或者无意的干扰,引起接收机的失锁,无法正确地完成导航定位的功能。如何提高GPS系统的抗干扰能力已经成为当前军方及众多民用机构亟待解决的问题,因而展开GPS抗干扰技术的研究是十分必要的。
     本文主要研究基于自适应阵列信号处理的GPS抗干扰方法。首先从理论上总结了已有的利用传统波束形成技术和盲波束形成技术所提出的GPS抗干扰方法。然后,利用GPS信号中C/A码的周期平稳特性的特性提出了一种用于干扰抑制的新算法。该算法将子空间投影、周期自适应波束形成(Cyclic Adaptive Beamforming,简称CAB)有机结合,能够实现对强干扰的抑制和有用信号的提取。同时,通过对共轭循环相关矩阵(Cyclic Conjugate Correlation Matrix,简称CCC矩阵)的结构分析,引入Hankel化预处理,可以有效地提高较低信噪比下算法的性能。仿真实验证明了算法的有效性。最后,本文将空域处理方法扩展到空时二维处理,研究了GPS信号的周期平稳特性在空时自适应抗干扰中的应用。
Global Positioning System (GPS) is the most typical satellite navigation system and has found wide applications in military and civilian fields. Since the satellite is far away from the earth, the power level of GPS signal arriving at the earth is so low that the GPS receiver is vulnerable to various kinds of intentional and unintentional interference and may lose lock to GPS signal. Hence it is necessary to incorporate interference suppression techniques in order to make sure the receiver can work well.
     Array antenna based adaptive interference suppression algorithms are studied in this thesis. Firstly, several existing algorithms which use adaptive conventional beamforming or blind beamforming methods are overviewed. Secondly, a novel adaptive anti-jamming algorithm is proposed, which combines subspace projection, cyclic adaptive beamforming (CAB) algorithm. In addition, the structure of cyclic conjugate correlation matrix (CCC matrix) is analyzed and Hankel approximation method (HAM) is introduced to process the CCC matrix estimated by finite snapshots. Simulation results show the proposed algorithm can effectively suppress the strong interference, extract the GPS signal and HAM can improve the performance of the proposed algorithm when SNR is relatively low. Finally, the space adaptive processing is extended to space-time adaptive processing by exploiting the cyclostationarity of GPS signal.
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