【摘要】 大型米波雷达存在机动性差、角分辨率低、硬件成本高等问题，为此本文利用L型分布式面阵来解决以上问题，并提出一种基于行列合成预处理的二维高精度角度估计方法。文章首先建立了L型分布式面阵的回波信号模型，然后分别通过沿行和列方向的数字波束形成(Digital Beam Forming, DBF)实现阵元空间降维，接着采用双尺度酉ESPRIT (Estimating SignalParameter via Rotational Invariance Techniques)算法实现方位角的高精度估计，利用合成导向矢量的超分辨算法估计俯仰角。我们分析了角度估计性能随信噪比(Signal Noise Ratio, SNR)和基线长度变化的影响，仿真结果表明，相比于传统方法，本文所提出的方法在降低硬件成本和测角计算复杂度的同时有效提升了测角精度，为实现高精度米波雷达提供了一种解决途径。更多还原

【Abstract】 To solve the problem of poor mobility, low angular resolution and high hardware cost of VHF radar, this paper proposed a 2 D high accuracy angle estimation method based on row-column synthesis preprocessing for L-type distributed planar array. Firstly, the echo signal model of the L-type distribute array was constructed. Then, the dimension reduction of array element space was realized by Digital Beam Forming(DBF) along the row and column dimension respectively. The azimuth angle was estimated via dual-scale Unitary ESPRIT(estimating signal parameters via rotational invariance techniques) algorithm, and the elevation angle was estimated by super-resolution algorithm of synthetic steering vector. The influences of the angle estimation performance with the change of Signal Noise Ratio(SNR) and baseline length were analyzed. The simulation results showed that, compared with the traditional method, the proposed method can effectively improve the angle measurement accuracy while reducing the hardware cost and the computational complexity of angle measurement, which provides a solution for realizing high-precision VHF radar.更多还原