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Efficient, Accurate and Scalable Reflectarray Phase-Only Synthesis Based on the Levenberg-Marquardt Algorithm

机译:基于Levenberg-Marquardt算法的高效,准确和可扩展的全反射阵列相位合成

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The Levenberg-Marquardt algorithm is used to perform an efficient phase-only synthesis for shaped-beam reflectarray antennas. A thorough analysis of the problem and algorithm allows to improve greatly its performance and its results with regard to those in the literature. Specifically, several optimizations in the Jacobian matrix computation are detailed, including its fully parallelization thanks to the fact that each column of the Jacobian can be independently computed. A Cholesky factorization based solver is used to obtain the updating vector at each iteration of the algorithm, which is the fastest exact solver for linear equation systems. Finally, some guidelines to choose proper values for the algorithm parameters are presented. Due to the high dimensionality of the problem, a good control in the algorithm evolution is important to guarantee good convergence and avoid non-desired local minima. The synthesis of a LMDS shaped beam for a dual-polarized reflectarray is proposed to test the developed algorithm and the results are compared with others in the literature, showing improvements in accuracy and time efficiency. The framework established for the phase-only synthesis can be used in a broader problem to directly optimize the geometry of the reflectarray through full wave analysis of the unit cell.
机译:Levenberg-Marquardt算法用于对成形波束反射阵列天线执行高效的仅相位合成。对问题和算法的透彻分析可以大大提高其性能和结果(相对于文献而言)。具体而言,详细说明了雅可比矩阵计算中的几种优化,包括完全并行化,这归功于可独立计算雅可比矩阵的每一列。基于Cholesky分解的求解器用于在算法的每次迭代中获取更新向量,这是线性方程组最快的精确求解器。最后,介绍了一些为算法参数选择适当值的准则。由于问题的高维性,算法进化过程中的良好控制对于确保良好的收敛性和避免不希望的局部最小值非常重要。提出了用于双偏振反射阵列的LMDS形光束的合成方法,以测试所开发的算法,并将结果与​​文献中的其他结果进行比较,显示出准确性和时间效率方面的改进。建立用于仅相位合成的框架可用于更广泛的问题,以通过对晶胞进行全波分析来直接优化反射阵列的几何形状。

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