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Low-angle estimation method for meter-wave radar via matrix completion

机译:矩阵完成的仪表波雷达的低角度估计方法

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The deficiencies of array elements causes the decrease of angle survey precision when detect low-angle estimation. In order to solve this problem, this paper transform the data missing matrix which isn't meeting the condition of the SIP into appropriate one based on the MC theory by using the Hankel matrix's properties. Then according to the ILAM algorithm and the generalized MUSIC algorithm, the method can recover the complete data matrix and get the angle messages in the reality. The simulated experiment verifies the method effectiveness.
机译:阵列元件的缺陷在检测低角度估计时导致角度测量精度降低。 为了解决这个问题,通过使用Hankel Matrix的属性,本文将基于MC理论的MC理论转换数据缺失矩阵。 然后根据ilam算法和广义音乐算法,该方法可以恢复完整的数据矩阵并在现实中获取角度消息。 模拟实验验证了方法有效性。

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