基于压缩感知的稀疏共形阵列天线技术研究

项目名称： 基于压缩感知的稀疏共形阵列天线技术研究

项目编号： No.61301056

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 杨鹏

作者单位： 电子科技大学

项目金额： 30万元

中文摘要： 载体上的共形天线是目前天线领域的研究热点之一。基于共形天线的阵列综合及信号处理技术具有重要的学术研究和工程应用价值。然而，共形阵列由于其结构复杂，成本较高，一直以来都是天线设计中的难点。压缩感知作为一种新理论，具有利用少量数据重建大量信息的优点，一经提出就在很多领域得到了广泛关注。因此，本项目旨在探索压缩感知与共形阵列在物理和数学上的联系，以便利用压缩感理论来解决共形天线中的若干问题。包括：稀疏阵列综合中"最大稀疏度"问题以及网格密度与精度的矛盾问题；低信噪比条件下共形阵来波方向估计问题；共形阵上高效、稳健的数字波束形成问题等。通过本项目，拟建立一套基于压缩感知理论的共形阵列设计流程，在保持天线性能的同时减少软硬件资源，为高性能、低成本共形天线的广泛应用提供理论和实验基础。

中文关键词： 稀疏阵列；共形阵列；压缩感知；阵列综合；阵列信号处理

英文摘要： Conformal antenna is one of the hot topics in antenna research field. Antenna array synthesis and array signal processing with conformal antennas have important academic and application values. However, for a long time, conformal antenna is a difficult problem in antenna design due to its complex structure and high cost. As a new theory, compressive sensing has the merit of using small data to reconstruct huge information, and hence has been noticed in many field when proposed. Therefor, in this project, we will explor the physical and mathematical relationship between conformal antnena array and compressive sensing to solve the problems of conformal antnan using compressive sensing theory. The research contents include: "the maximally sparse" problem and the contradiction between the grid density and precision in conformal array synthesis; the direciton of arrival estimation in a low SNR condition, and the high performance and robust digital beamforming based on conformal array, etc. We plan to build a conformal antenna array design framwork based on compressive sensing via this project, and to reduce the software and hardware resources while keeping high performance. The project will be expected to provide theoretical and experimental basis for the wide application of high performance, low cost conformal anten

英文关键词： Sparse array；Conformal array；Compressive sensing；Array synthesis；Array signal processing