雷达发射机阵列稳健栅瓣抑制算法研究

发布时间：2018-02-24 23:28

本文关键词： 粒子群算法凸优化抗阵列流型失配栅瓣抑制　出处：《计算机仿真》2017年01期 　论文类型：期刊论文

【摘要】：针对雷达发射机阵列在具体实现过程中由于阵元位置的抖动等干扰因素带来的阵列流型失配严重降低了方向图性能的问题,提出了一种粒子群-凸优化的抗阵列流型失配的稳健栅瓣抑制算法。上述方法以降低峰值旁瓣电平为目标函数,将粒子群算法作为全局优化算法用来优化阵元位置,凸优化算法作为局部优化算法用来优化阵元权值,引入阵列流型误差,重构稳健的凸优化模型,在优化稳健阵元权值系数的基础上,进一步优化稳健的阵列布局。仿真结果表明,优化后的阵元权值系数和阵列布局具有更强的稳健性,能够在兼顾固定方向上方向图综合和栅瓣抑制的同时,提高波束优化对阵列流形失配的宽容性,数值结果有效的验证了算法的有效性。
[Abstract]:In the process of radar transmitter array implementation, the mismatch of array flow pattern caused by interference factors such as the jitter of array element position seriously reduces the performance of the pattern. In this paper, a robust gate lobe suppression algorithm against array flow mismatch is proposed, in which the reduction of peak sidelobe level is taken as the objective function, and the particle swarm optimization algorithm is used as a global optimization algorithm to optimize the position of array elements. As a local optimization algorithm, convex optimization algorithm is used to optimize the weight of array elements, introducing array flow pattern error, reconstructing robust convex optimization model, and optimizing the weight coefficients of robust array elements. The simulation results show that the optimized array weight coefficient and array layout are more robust and can combine pattern synthesis and gate lobe suppression in a fixed direction at the same time. To improve the tolerance of beam optimization to array manifold mismatch, the numerical results verify the effectiveness of the algorithm.
【作者单位】：南京航空航天大学电子信息工程学院;
【基金】：国家目然科学基金(61371170) 南京航空航天大学研究生创新基地(实验室)开放基金(kfjj20150403) 中央高校基本科研业务费专项基金(NS2016043)
【分类号】：TN957.3

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