可控测角精度和范围的数字阵列单脉冲和差波束优化

摘要

针对大角度覆盖范围目标快速定位以及机动目标精确角度跟踪的需要，该文提出一种基于可控测角精度和范围的数字阵列单脉冲和差波束迭代快速优化算法。算法可以根据期望的测角精度或期望测角区间，以函数形式给出修正的期望和差波束方向图主瓣区域，然后采用所提出的快速区域加权方向图综合算法闭式优化得到和差波束方向图。该算法通过迭代优化可以在给定输入信噪比和测角精度需求的前提下，最大化单脉冲角度估计的有效测角区间，或者在给定的测角范围内，最优化测角精度。%A fast iterative optimization algorithm for sum and difference patterns with controllable accuracy and range of angle measurement is proposed, which can be used in fast targets location under wide angle coverage and accurate angle tracking of maneuvering targets. Under expected accuracy or range of angle estimation, the expected main-lobe of sum and difference patterns are modified in the form of sinc function and its derivative respectively, then the sum and difference patterns are rapidly synthesized with the proposed regional weighting pattern synthesis algorithm in the close form. The proposed iterative optimization algorithm can effectively maximize the range of effective angle measurement at a given input signal to noise ratio and angular accuracy, or get optimal accuracy within a given range of angle measurement.