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基于Krylov子空间的多级维纳抗干扰滤波设计

, PP. 1158-1162

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Abstract:

全球卫星导航系统(GNSS,GlobalNavigationSatellitesSystem)空时抗干扰要求有较好的实时处理能力,常规矩阵求逆的算法由于计算量太大限制了其在GNSS中的应用.在分析多级维纳滤波(MWF,Multi-stagenestedWienerFilter)原理的基础之上,结合Krylov子空间性质,设计出一种应用于GNSS空时抗干扰的自适应多级维纳滤波器,从而实现了在Krylov子空间中降维滤波,避免了矩阵求逆的大运算量.仿真结果表明,该算法在保证抗干扰性能不受影响的前提下,降低了GNSS空时抗干扰算法的计算量,提高了实时处理能力.

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