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An adaptive nulling algorithm based on signal subspace concepts

机译:基于信号子空间概念的自适应归零算法

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A novel eigenvector-based adaptive nulling algorithm, intended fornanti-jam uplink satellite communications applications, is presented. Thenalgorithm exploits a priori knowledge of high-power user terminalnlocations, together with the signal covariance matrix, to determine anbasis set for the estimated jammer space. The computed signal weightnvector is orthogonal to the estimated jammer space and maximally couplednto the user space. The nulling system is configured to suppress jammersnexceeding a preset power threshold. Low-power, ineffective jammersncannot saturate the nuller. Theater coverage for low-power,nlow-data-rate users operating below threshold is facilitated throughnsynthetic auxilliary user signals which are added to the signalncovariance matrix. Simulation results are presented involving a 19-beamnmultiple beam antenna
机译:提出了一种新颖的基于特征向量的自适应归零算法,旨在用于抗干扰上行链路卫星通信应用。该算法利用了高功率用户终端位置的先验知识以及信号协方差矩阵来确定估计干扰空间的基准集。计算的信号权重向量正交于估计的干扰空间,并且最大程度地耦合到用户空间。归零系统被配置为抑制干扰超过预设功率阈值。低功率,无效干扰器无法使调零器饱和。通过在信号协方差矩阵中添加的辅助合成用户信号,可以为低功率,低数据速率用户在阈值以下运行提供影院覆盖。给出了涉及19波束多波束天线的仿真结果

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