基于剪枝优化的最优波束序列快速搜索方法

Fast Search Method For Optimal Beam Sequence Selection Based on Pruning Optimization

为解决多波束天线典型测试波束组合数量大、遍历效率低、最优波束序列搜索代价极大的问题,通过分析多波束天线激励系数矩阵中波束与馈源阵列的映射关系,结合合成多波束的形成原理,采用最小二乘估计法构建馈源阵列的平均估计误差判定标准,并在建立典型测试波束选取的无关性、覆盖性和馈源贡献率准则的基础上,提出一种基于剪枝优化设计的最优波束序列快速搜索算法.通过仿真得出了实际条件下的最优测试波束序列.实验结果表明,优化后的搜索算法复杂度降低,搜索结果准确,效率提高显著,对在实际系统中实施高效、准确的最优波束序列快速搜索具有重要的参考价值.

In order to solve problems of the low traverse efficiency and the high cost of optimal beam sequence searching of multiple-beam antenna with large number of typical test beams combination,a fast search algorithm based on the beam pruning optimization sequence is proposed based on the exploration of the relation between beam and feed source array of the incentive coefficient matrix system.By employing the least squares evaluation method and the beam forming principle of the composite beams,the proposed method establishes a criteria in which,the independence and the coverage and the feed contribution rate of typical tested beam combination is guaranteed respectively,and the average estimation error of the feed source is minimized.Simulations show that the algorithm complexity is reduced,the search results are accurate and the efficiency is obviously improved,and the optimal test beams sequence is searched in actual conditions as well.The proposed method can provide an excellent reference value to find the optimal test beams sequence efficiency and accurately for a practical system.