远近场混合源稳健高分辨参数估计方法与性能界研究

Robust high-resolution parameters estimation methods and performance bounds of complex mixed far-field and near-field sources will be studied for spatial parameters estimation technologies and spectrum sensing theory in complex electromagnetic environment. Through the establishment of near and far-field complex source signal model, both robust and underdetermined parameters estimation alogrithms are studied. In addition, the performance bounds of this model are explored. Some new concepts, theory, methods, and algorithms are hopeful to be proposed under the support of this project. Key scientific problems to be solved include the auto-calibration technique for mutual coupling effect, the aperture loss of existing mixed source parameter estimation algorithms, explicit closed-form performance bounds for mixed sources. We will try to achieve some innovative algorithms and conclusions of the parameters decoupling methods in complex signal model, underdetermined parameters estimation methods, and sensor allocation methods based on minimizing Cramer-Rao bounds. The innovation of this project will lay a strong foundation for localization systems. Moreover, it will enhance the real time measurement and analysis of performance of electronic information systems under the complex electromagnetic environment and provid important technical support for reconnaissance systems in the near future.

本项目拟以复杂电磁环境下的信号空间参数估计和频谱感知理论为背景，开展远场与近场源共存条件下的复杂信号源稳健高分辨参数估计方法与性能界研究。通过建立远近场复杂源接收信号模型，深入研究稳健的远近场混合源参数估计方法、欠定条件下的混合源参数估计方法以及远近场源参数估计的性能界，探索新概念，掌握新原理，提出有效的处理新准则、新方法以及新算法。拟解决的关键科学问题包括复杂混合源模型下的互耦误差自校正问题、混合源参数估计中的孔径损失问题、具有明确物理意义的远近场源性能界闭式表达求解问题。力求在混合源互耦自校正与多维参数去耦合估计、突破阵元数限制的混合源欠定参数估计、基于混合源克拉美-罗界最小化的阵元位置优化三个方面取得创新性研究成果，为远近场混合源的参数估计技术奠定理论基础，提升信息化电子系统在复杂电磁环境下实时测量与分析的性能，使未来全方位、立体化电磁侦察系统具备关键技术支撑。

本项目以复杂电磁环境下的信号空间参数估计和频谱感知理论为背景，开展了远场与近场源共存条件下的复杂信号源稳健高分辨参数估计方法与性能界研究。通过建立远近场复杂源接收信号模型，深入研究了稳健的远近场混合源参数估计方法、欠定条件下的混合源参数估计方法以及远近场源参数估计的性能界，提出了有效的处理新准则、新方法以及新算法。重点解决了混合源模型下的互耦误差自校正、混合源参数估计中的孔径损失、具有明确物理意义的远近场源性能界闭式表达求解等关键科学问题。在混合源互耦自校正与多维参数去耦合估计、突破阵元数限制的混合源欠定参数估计、基于混合源克拉美-罗界最小化的阵元位置优化三个方面取得了创新性的研究成果。本项目在国内外重要刊物和会议上发表研究论文33篇，其中SCI检索22篇、EI检索11篇；授权专利1项，受理专利7项。本项目的部分研究成果已应用于射频识别定位系统，取得了良好的应用效果。