【作者】 李海鹏；

【导师】 冯大政；

【作者基本信息】 西安电子科技大学 ， 信号与信息处理， 2011， 硕士

【摘要】 空间谱估计技术特点明显:波达方向估计精度高,分辨能力强,并且可以同时估计多个信号等。这类算法需要已知正确的阵列流型,但是阵列误差会导致实际的阵列流型和理论值存在误差,这就使得空间谱估计技术性能下降甚至失效。因此阵列误差是空间谱估计技术走向实用的瓶颈,阵列误差校正方法也就成为一个重要的研究热点。本文针对上述问题,研究和分析阵列误差校正方法。主要工作如下:首先,从空间谱估计角度介绍阵列误差校正方法的基础,接着基于MUSIC算法介绍阵列误差的模型及阵列误差对算法的影响。文中将阵列误差校正方法分为两个大类:一类通过估计阵列误差的方法实现误差校正,包括有源校正方法和自校正方法。另一类研究对阵列误差不敏感的稳健算法。稳健算法在不需要估计阵列误差的前提下,就能实现良好的估计性能。最后本文通过仿真实验,验证有源校正、自校正和稳健算法对阵列误差估计的准确性,以及对波达方向估计的有效性。更多还原

【Abstract】 The merits of spatial spectrum estimation algorithms are quite obvious,including the high precision of DOA, the high resolution performance and the ability to measure a lot of signals simultaneously. However, in order to obtain these merits, this kind of method requires quite accurate array manifold. The array perturbations would lead to the serious deviations between the real array manifold and the ideal one, which make the performance of algorithms sharply reduced, and in some conditions, the algorithms even become useless. Thus, array calibration methods have attracted much attention and play a significant role in the area of array signal processing.Calibration algorithms have been divided into two major parts. On one hand, some algorithms calibrate the array perturbations through finding the best estimations of the array perturbations. There were two major branches in this field: self-calibration method (auto calibration method) and calibration with a set of calibration sources. On the other hand, some algorithms could obtain well performance of finding the DOA without estimating the perturbations which are named robust algorithm.In this thesis, the author studied on array calibration methods for spatial spectrum estimation. The main works in this paper as follows, at the beginning, the author has introduced the basic information on array calibration methods and the classical MUSIC algorithm. Secondly, the analysis has been made in order to build the models of array perturbations. In this part, the author pays much attention on the influence from gain/phase errors and mutual coupling errors. Thirdly, several specific algorithms have been discussed. At last, some simulations and graphs have been made in order to illustrate the influence from perturbations and verify the performance of calibration algorithms.更多还原