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一种用于GPS抗干扰的稳健盲波束形成算法

A Robust Blind Adaptive Beamforming Algorithm for the Anti-Jamming of GPS
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摘要 导航系统中接收信号微弱,到达GPS接收机天线的有用信号十分微弱,很容易受到各种人为和非人为干扰的影响。循环自适应波束形成(CAB)算法作为一种盲波束形成算法,具有较低的计算复杂度和较快的收敛速度,因此,是一种有效的盲波束形成算法,算法非常适用于GPS抗干扰。但是,CAB算法的稳健性不足,为了提高原算法的稳健性,在约束的循环自适应波束形成(C-CAB)算法的基础上,结合正交投影和协方差矩阵加权提出一种新的稳健算法,仿真结果证明了算法的有效性。 The desired signal the antenna of the GPS receiver received is very weak,and it is vulnerable to a variety of man-made and non-man-made interferences.As a blind beamforming algorithm,cycle adaptive beamforming(CAB) algorithm becomes an efficient beamforming algorithm due to its lower computational complexity and faster convergence rate,therefore,the CAB algorithm is suitable for GPS anti-interference.However,the robustness of the CAB algorithms is not enough.in order to improve the robustness of the CAB algorithm,a new robust algorithm based on the constrained cycle adaptive beamforming(CAB) algorithm is proposed,which utilize the combination of orthogonal projection and the weighted covariance matrix.The simulation results prove the feasibility of the new algorithm.
出处 《计算机仿真》 CSCD 北大核心 2010年第10期326-329,共4页 Computer Simulation
基金 西北工业大学科技创新基金(2007KJ01028)
关键词 循环自适应波束形成 正交投影 协方差矩阵加权 Cycle adaptive beamforming Orthogonal projection The weighted covariance matrix
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参考文献5

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