用旋转不变技术实现互耦和通道不一致的联合抑制

发布时间：2018-05-16 04:13

本文选题：阵列信号处理 + 波达方向　；参考：《西安电子科技大学学报》2014年01期

【摘要】：阵元间的互耦和通道的不一致都会对阵列流型产生扰动,使得子空间类估计算法性能急剧下降甚至失效,而传统多误差联合自校正算法存在多维搜索、迭代寻优和计算量庞大等问题.针对上述问题,提出了一种新的利用旋转不变技术实现两种阵列误差联合抑制算法.该算法根据互耦系数矩阵特点,通过通道的切换和子阵的选取,使得两子阵的阵列流型矩阵在误差扰动下仍然保持旋转不变关系,将ESPRIT算法应用背景推广至互耦和通道不一致同时存在的情形.该算法无须谱峰搜索和估计误差参数,阵列误差的抑制无须任何额外计算量.仿真验证了这种算法能够抑制互耦和通道幅相误差,估计性能和无误差时的标准ESPRIT算法接近.
[Abstract]:The mutual coupling between array elements and the inconsistency of channels will disturb the array flow pattern, which makes the performance of subspace class estimation algorithm drop sharply or even fail, while the traditional multi-error joint self-tuning algorithm has multi-dimensional search. Problems such as iterative optimization and large amount of computation are discussed. In order to solve the above problems, a new algorithm of joint array error suppression using rotation invariant technique is proposed. According to the characteristics of mutual coupling coefficient matrix, the algorithm can make the array flow pattern matrix of two subarrays remain rotation-invariant under the error disturbance by switching channels and selecting subarrays. The application background of ESPRIT algorithm is extended to the case where mutual coupling and channel inconsistency exist at the same time. There is no need for spectral peak search and estimation of error parameters, and no extra computation is required for the suppression of array errors. Simulation results show that the proposed algorithm can suppress mutual coupling and channel amplitude-phase errors, and the estimation performance is close to the standard ESPRIT algorithm without error.
【作者单位】：海军装备研究院;海军航空工程学院七系;
【基金】：国家自然科学基金资助项目(60902054) 中国博士后科学基金资助项目(201003758,20090460114) “泰山学者”建设工程专项经费资助项目
【分类号】：TN911.7

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