快时变场景下卫星导航接收机抗宽带干扰算法的研究

To improve the performance of the anti-jamming method of traditional power inversion space-time adaptive processing and to reduce the computational burden of traditional linearly constrained minimum variance (LCMV) space-time adaptive processing, an improved blind interference reduced-rank space-time adaptive processing beamforming algorithm is proposed for fast search of satellites without the direction knowledge of desired satellites.Under the background of developing the plane and bomb anti-jamming satellite navigation position receiver, this dissertation conducts deep researches on the key anti-jamming technologies of satellite navigation position receivers. The main contents of the dissertation are concluded as follows:.(1) A parallel multi-beam blind interference reduced-rank space-time adaptive processing beamforming algorithm is proposed. The parallel multi-beam space-time adaptive processing beamforming algorithm based on the blind search and angle tracking of satellite signal in combination of the fast acquistion and steady tracking module. .(2) An adaptive diagonal loading blind interference reduced-rank space-time adaptive processing beamforming algorithm is proposed.To solve the problem of space-time adaptive processing (STAP) performance degradation due to small sample support, a novel method of adaptive diagonal loading is proposed based on multistage nested Wiener filter (MSNWF). .(3) An adaptive reduced-rank blind interference reduced-rank space-time adaptive processing beamforming algorithm is proposed.To further reduce the caculation burden with the performance not degrading, a novel method of reduced-rank STAP is proposed based on the improved Gerschgorin disk caculation algorithm to realize the adaptive rank selection.

针对功率倒置空时抗干扰算法性能低和传统线性约束空时抗干扰算法运算大的问题，在未知卫星信号来向信息的前提下，本项目以机载/弹载抗干扰卫星导航应用终端为实验平台，深入研究快时变场景下空时自适应处理盲干扰抑制算法，具体研究内容如下：.（1）多个单约束并行的空时自适应处理盲干扰抑制算法：结合接收机的快速捕获和稳定跟踪单元，研究基于卫星信号盲搜索和角度稳定跟踪的多个单约束并行空时自适应处理抗干扰算法；.（2）自适应对角加载空时自适应处理盲干扰抑制算法：研究小快拍情况下基于线性约束最小方差准则的空时自适应处理盲干扰抑制算法性能下降的问题，提出一种自适应对角加载空时自适应处理盲干扰抑制算法。.（3）自适应降维空时自适应处理盲干扰抑制算法：在保证滤波性能条件下，为了进一步降低算法的运算量，提出基于改进盖氏圆算法的自适应降维空时自适应处理盲干扰抑制算法。

随着卫星导航系统在民用和军事等领域中的广泛应用，其易于受到干扰的问题日益显现出来。为了保证卫星导航接收机在快时变场景下能以不变应万变，提供有效的导航服务，必须对其干扰抑制技术进行深入的研究。本课题以研制机载/弹载抗干扰卫星导航接收机为背景，深入地研究了快时变场景下卫星导航抗干扰若干关键技术，取得了如下研究成果：.（1）研究了多个单约束并行的空时自适应处理盲干扰抑制算法.利用卫星导航接收机捕获和跟踪单元给出的数据信息，在抑制宽带压制式干扰的同时，实现卫星信号的增强，进一步了提高卫星导航接收机的抗干扰能力。.（2）研究了自适应对角加载空时自适应处理盲干扰抑制算法.利用MSNWF迭代过程所给出的信息，自适应选择加载量，提高了基于LCMV的空时自适应处理盲干扰抑制算法在快时变场景下的滤波性能。.（3）研究了自适应降维空时自适应处理盲干扰抑制算法.采用改进盖氏圆法来自适应确定多级嵌套维纳滤波降维维数的算法，在保证滤波性能条件下，进一步降低了空时自适应处理盲干扰抑制算法的运算量，使之能够更好地适应干扰信号快时变的场景。.（4）研究了降维宽零陷和超宽零陷干扰抑制算法.（5）搭建了抗干扰算法验证硬件平台.完成了抗干扰卫星导航接收机的研制和抗干扰算法的硬件实现，并通过暗室、室外定点以及跑车实验来检测抗干扰算法的性能。.此外，课题组已经成功将本项目的研究成果应用于多型空军机载/弹载北斗卫星制导平台，其中部分机载/弹载武器平台已经开始试飞/打靶，并取得良好制导效果。本项目突破了快时变场景下卫星导航系统接收机抗宽带干扰关键技术，提高了我军卫星导航制导设备的电子对抗能力及精确制导打击能力。