稀疏电磁矢量传感器阵列自适应波束形成方法研究

项目名称： 稀疏电磁矢量传感器阵列自适应波束形成方法研究

项目编号： No.61201295

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 电子学与信息系统

项目作者： 王兰美

作者单位： 西安电子科技大学

项目金额： 26万元

中文摘要： 针对标量卫星导航阵列在干扰与导航信号小夹角时输出性能不佳的问题，本项目开展利用稀疏电磁矢量传感器阵列提高导航接收系统干扰抑制性能的研究。为降低系统复杂度和满足特定任务需求，利用布阵方式分别与冗余字典基矢量累计互相关、自适应干扰抑制性能间的关系实现稀疏阵列优化设计和波束赋形；针对阵列误差制约干扰抑制性能的问题，利用有源波动方程推迟势的解求天线的电磁场分布从而构建稀疏阵列误差模型，利用模型特征实现误差参数降维和估计；针对全维联合处理在实际中通常难以满足独立同分布样本数和实时性要求的问题，开展基于压缩感知的稀疏降维多维域干扰抑制和多波束形成的研究，通过干扰参数粗估指导冗余字典降维实现参数精估，基于干扰信息构建极化-空-时域降维自适应框架，利用星历信息和导航波形特征的多波束形成增强导航卫星信号；为检验理论成果，搭建一套稀疏电磁矢量传感器阵列实验系统。本研究对于提升我国导航通信保障能力具有重要意义。

中文关键词： 稀疏布阵；电磁矢量传感器；误差校正；波束形成；阵列优化

英文摘要： Sparse electromagnetic vector sensor array is used to improve the output performance which is poor for scalar array when the angle between interference and navigation signal is small. To reduce system complexity and meet specific requirements,sparse array optimal design and beamforming will be researched according to the cross-correlation of array shape and redundant dictionary base-vector cumulative and the relation of array shape and adaptive interference suppression performance. To solve the problem of array error restricting interference suppression performance, sparse array error mathematical modeling will be researched which is based on electromagnetic wave theory. The error parameter will be estimated after the parameter dimension is reduced according to the model features. As full-dimensional joint processing usually doesn't meet the independently and identically distributed condition and real-time requirement, multi-dimensional domain interference suppression and multi-beamforming will be researched which is based on sparse dimensionality reduction of compressed sensing. Parameters accurate estimation will be achieved by redundant dictionary dimensionality reduction according to interference parameters rough estimation. Polarization-space-time domain adaptive method will be constructed based on the inte

英文关键词： sparse array arrangement；electromagnetic vector sensor；array error calibration；beamforming；array optimization