Multiple target DOA estimation by exploiting knowledge of the antenna main beam pattern

A. Farina, F. Gini, M. Greco
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引用次数: 5

Abstract

We propose a new approach to the estimation of the direction of arrival (DOA) of multiple radar targets present in the main lobe of a mechanically rotating antenna. The method is based on the maximum likelihood (ML) technique and it exploits knowledge of the antenna beam pattern. Two scenarios are considered: multiple targets with deterministic unknown complex amplitudes, and multiple targets with random complex Gaussian distributed amplitudes. The performance of the proposed estimator is assessed through Monte Carlo simulation and compared with the Cramer-Rao lower bound.
利用天线主波束方向图的知识估计多目标的DOA
提出了一种估计机械旋转天线主瓣内多个雷达目标到达方向的新方法。该方法基于最大似然(ML)技术,利用了天线波束方向图的知识。考虑了两种情况:具有确定性未知复振幅的多个目标和具有随机复高斯分布振幅的多个目标。通过蒙特卡罗仿真评估了该估计器的性能,并与Cramer-Rao下界进行了比较。
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