基于多径分布源模型的米波雷达测高算法

Altitude measurement based on multi-path distributed source in VHF radar

针对复杂环境下的米波雷达低仰角测高问题,建立多径信号服从高斯分布源的阵列信号模型,提出一种广义约束多重信号分类(MUSIC)算法。该算法将多径信号作为约束,通过限制信号子空间包含多径导向矢量,来提高直达波的估计精确度。算法性能不受信号相干和地面反射系数的影响。与传统的测高算法相比,该方法在复杂反射地形下能有效进行目标高度估计。计算机仿真结果验证了该算法的可行性。

A new signal model is built aiming to the problem of low-angle altitude measurement in complex environment, in which the multi-path submits to Gaussian distributed source. A generalized constrained MUltiple SIgnal Classification(MUSIC) algorithm is proposed, which takes the multi-path as constraint and improves direct signal precision by deflating the multi-path steering vector in signal subspace. The performance of the proposed algorithm would not be affected by coherent source and reflection coefficient. The proposed method achieves higher resolution under complex reflection surface in comparison with traditional high resolution methods. Simulation results and the real data processing demonstrate the validity and feasibility of the proposed approach.