强冲击噪声背景下极化敏感阵列的文化膜智能测向理论研究

The direction finding of the polarization sensitive array is an important research direction of the array signal processing field, have important applications in many military and civilian fields. The existing DOA estimation algorithms of polarization sensitive array have some bottleneck limitations. Firstly, the algorithms of the source structure and the source number were old, which can't meet the development needs of DOA estimation. Secondly, the existing DOA estimation algorithms lose he array aperture for coherent sources. Finally, the existing algorithms have low performance for complex direction finding problems and harsh noise background, and even turn to failure in some case. Therefore, based on theoretical innovation for direction of arrival estimation of polarization sensitive array, the study which to address these issues has important Scientific and practical significance in the presence of strong impulsive noise. Based on the derivation of cultural theory, membrane computing mechanism and intelligence computing theory, the cultural membrane intelligence algorithms which have good performance and fast convergence are proposed. By extending the existing direction direction of arrival estimation theory, new direction finding theory with high robustness and resolution will be proposed to estimate the number of sources, direction of arrival(DOA) as well as polarizational parameter under complex strong impulsive noise environment. Moreover, a theoretical framework based on cultural membrane optimation algorithm for direction finding will be established,and the theoretical difficulties of existing direction of arrival estimation should be resolved, furthermore the performance and application limits of current direction of arrival estimation methods are broken through. This project will lay theretical foundations for the extensive application in radar and mobile communication.

极化敏感阵列测向是阵列信号处理的重要研究方向，在雷达和无线通信系统等军事和民用领域都有重要应用。当前影响极化敏感阵列测向技术发展的瓶颈在于：1、信源结构和数目估计方法滞后,不能满足测向发展的需要；2、不损失阵列孔径不能测相干信源；3、复杂测向问题和恶劣噪声环境下现有测向算法性能下降严重甚至失效。因此，在强冲击噪声环境下，针对极化敏感阵列测向在理论创新的基础上为同时解决这些问题所进行的研究具有重要的科学价值。通过研究膜计算、文化机制等智能计算理论，提出文化膜测向理论。 拓展现有测向理论的应用范围,进而提出在强冲击噪声背景和复杂测向环境下可同时进行信源数、波达方向和极化参数联合估计的高鲁棒性和高精度测向算法。同时建立具有更广泛适用性的文化膜智能测向理论框架，解决现有测向算法难以解决的理论难题，突破现有测向方法的性能和应用极限，为极化敏感阵列在雷达、制导和移动通信等领域的广泛应用奠定基础。

极化敏感阵列测向是阵列信号处理的重要研究方向，在雷达和无线通信系统等军事和民用领域都有重要应用。针对多年来来影响极化敏感阵列测向技术发展的瓶颈，研究对空间目标的信源结构、信源数目、波达方向以及极化信息同时进行联合估计的算法，提出文化膜智能测向理论，解决强冲击噪声背景和复杂测向环境下的DOA 估计问题，建立文化膜智能测向理论框架。不仅能够突破现有DOA 估计算法的局限，促进测向领域和智能信息处理领域的共同发展，还能为其在雷达、通信等领域的应用奠定理论基础，进而促进雷达通信等领域相关技术的发展，在军事和民用领域有广阔的应用前景，具有重要的理论意义和实际应用价值。根据冲击噪声环境极化敏感阵列接收数据的特点，结合膜计算构建测向理论模型，设计突破现有DOA 估计所遇到的诸多限制的新测向目标函数，并设计新的智能算法去求解所提目标函数，设计了一系列测向行方法，进一步提升DOA 估计的性能和扩展其应用环境，为空间谱估计的理论研究提供新思路和新方法，能够进一步推进其工程应用进程，同时也能促进智能信息处理领域的发展。建立具有更广泛适用性的智能测向理论框架，提出了一系列智能优化算法的同时解决现有测向算法难以解决的理论难题，突破现有测向方法的性能和应用极限，为测向技术在雷达、制导和移动通信等领域的广泛应用奠定基础。