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作 者:徐丽琴 李勇[1] 刘有耀 张建国 XU Li-qin;LI Yong;LIU You-yao;ZHANG Jian-guo(School of Electronics and Information,Northwestern Polytechnical University,Xi'an 710072,China;School of Electronic Engineering,Xi'an University of Posts and Telecommunications,Xi'an 710121,China)
机构地区:[1]西北工业大学电子信息学院,西安710072 [2]西安邮电大学电子工程学院,西安710121
出 处:《吉林大学学报(工学版)》2022年第6期1459-1465,共7页Journal of Jilin University:Engineering and Technology Edition
基 金:国家自然科学基金项目(61874087,61602377)。
摘 要:为了以较少的计算代价获得更好的角度估计性能,提出了一种用于多输入多输出(MIMO)雷达波达方向(DOA)估计的波束空间共轭旋转不变技术(ESPRIT)算法。首先,利用降维变换将接收数据转换至低维空间。然后,利用信号的非圆特性构造虚拟阵元数加倍的扩展数据矩阵,再进行波束空间实值化处理。最后,在波束空间中构造扩展实值导向矢量的旋转不变关系,从而获得目标方位的估计。与传统的ESPRIT算法相比,本文方法可以大大提高角度估计性能,并且可以显著减少计算量。In order to obtain better angle estimation performance at less cost,a beamspace conjugate ESPRIT algorithm for direction of arrival(DOA)estimation in multiple-input multiple-output(MIMO)radar is presented. Firstly,the reduced-dimensional transformation is utilized to transform the observed data into a lower-dimensional space. Then an augmented observation data matrix with double number of effective elements is constructed by taking advantage of the property of the noncircular signals and is mapped into beamspace. Finally,the rotational invariance property of the real-valued beamspace array manifold is constructed and exploited to find the directions of the targets. Compared to the conventional ESPRIT,the presented method can obtain greatly improved estimation performance and can achieve a significant reduction in the amount of computation. Numerical examples are presented to illustrate the performance of the presented algorithm.
关 键 词:多输入多输出雷达 波达方向估计 旋转不变技术 非圆信号
分 类 号:TN958[电子电信—信号与信息处理]
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