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An Adaptive Antenna Utilizing Minimum Norm and LCMV Algorithms

机译:利用最小范数和LCMV算法的自适应天线

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This paper introduces a new structure based on the minimum norm and Linearly constrained minimum variance (LCMV) algorithms to highly suppress the jammers to the Global positioning system (GPS) receiver. Minimum norm can assign a deep null blindly to the jammer direction, also it doesn't introduce any false nulls like other algorithms do. So combining it with LCMV algorithm give a structure capable of adjusting the weights of the antenna array in real time to respond to the signals coming from the desired directions while highly suppresses the jammers coming from the other directions. The simulations were performed for fixed and moving jammers. Two jammers are used one of power -100dBW, the other is-120dBW. The nulls depths attained by Minimum norm alone are 88.4dB for the strong jammer and 45dB for the weak one. The simulation indicates that the new structure can give deeper nulls to the jammers directions, more than 114dB nulls depths for both jammer when they come from fixed directions and about 103dB nulls depths when they come from moving directions. The new structure not only improves the nulls depths but also can control the nulls depths. In addition, it can control the antenna gain in the directions of the useful GPS Signals.
机译:本文介绍了一种基于最小范数和线性约束最小方差(LCMV)算法的新结构,以高度抑制干扰对全球定位系统(GPS)接收器的干扰。最小范数可以盲目地向干扰方向分配深空值,也不会像其他算法那样引入任何虚假的空值。因此,将其与LCMV算法相结合,可提供一种结构,该结构能够实时调整天线阵列的权重,以响应来自所需方向的信号,同时高度抑制来自其他方向的干扰。对固定干扰器和移动干扰器进行了仿真。使用两个干扰器,其中一个功率为-100dBW,另一个为-120dBW。强干扰者单独通过最小范数获得的零点深度为88.4dB,弱干扰者为45dB。仿真表明,新结构可以给干扰器方向提供更深的零点深度,当两个干扰器来自固定方向时,它们的干扰深度都超过114dB,而当来自移动方向时,它们的干扰深度都将超过103dB。新结构不仅可以改善零位深度,还可以控制零位深度。另外,它可以在有用的GPS信号方向上控制天线增益。

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