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Cognitive STAP technology based on two-dimensional filter optimization

机译:基于二维滤波器优化的认知STAP技术

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摘要

Cognitive space-time adaptive (STAP) radar system optimizes the receiving filter according to the time-varyingclutter environment. Aiming at the optimization design of receiving filter, an optimization model of STAP radar filter isestablished, and a method of filter optimization based on Lagrange dual algorithm is proposed. Compared with thetraditional adaptive STAP filter, the simulation results show that the performance of cognitive reception STAP filter isanalyzed and verified. Compared with the traditional adaptive STAP filter, cognitive STAP filter can significantlysuppress clutter and effectively improve the signal-to-noise ratio.
机译:认知时空自适应(STAP)雷达系统根据时变来优化接收滤波器 混乱的环境。针对接收滤波器的优化设计,建立了STAP雷达滤波器的优化模型。 建立了基于拉格朗日对偶算法的滤波器优化方法。与之相比 仿真结果表明,传统的自适应STAP滤波器的性能优于传统的自适应STAP滤波器。 分析和验证。与传统的自适应STAP滤波器相比,认知STAP滤波器可以显着提高 抑制杂波并有效提高信噪比。

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