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Maximum likelihood based sensor array signal processing in the beamspace domain for low angle radar tracking

机译:用于波束角域的低角度雷达跟踪中基于最大似然的传感器阵列信号处理

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The novelty of the 3D beamspace domain, maximum likelihood (3D BDML) bearing estimation scheme is its judicious exploitation of the fact that the respective beams associated with any three classical beam-forming vectors which are mutually orthogonal have M-3 nulls in common, where M is the number of elements comprising a uniformly spaced, linear array. Exploitation of this property yields an estimation scheme that is nearly as computationally simplistic as the 2D beamspace bearing estimation technique based on sum and difference beams employed in conventional monopulse radar. To provide robustness to the severe signal cancellation occurring across the array when the direct and specular path signals arrive 180 degrees out of phase at the aperture center with roughly equal amplitude, frequency diversity is incorporated into 3D BDML. The coherent signal subspace concept of H. Wang and M. Kaveh (1985) is invoked as a means of retaining the computational simplicity of single-frequency 3D BDML.
机译:3D波束空间域,最大似然(3D BDML)方位估计方案的新颖之处在于它明智地利用了以下事实:与相互正交的任何三个经典波束形成矢量相关联的各个波束共有M-3个零值,其中M是包括均匀间隔的线性阵列的元素的数量。利用这种特性可以得出一种估计方案,该方案与基于传统单脉冲雷达中使用的和束和差束的二维波束空间方位估计技术在计算上几乎一样简单。为了在直射和镜面反射路径信号以大致相等的幅度到达孔径中心异相180度时,为整个阵列中发生的严重信号消除提供鲁棒性,将频率分集合并到3D BDML中。引用了H. Wang和M. Kaveh(1985)的相干信号子空间概念,作为保持单频3D BDML计算简单性的一种手段。

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