基于ESPRIT算法的L型阵列MIMO雷达降维DOA估计
发布时间：2018-07-18 15:25
【摘要】：该文针对L型阵列MIMO雷达的2维角度估计问题,基于ESPRIT算法提出两种降维DOA估计方法。首先通过降维矩阵的设计及回波数据的降维变换,将高维回波数据转换至低维信号空间;然后分别基于特征分解和传播算子获得信号子空间的估计,最后利用ESPRIT算法实现2维空间角参量的联合估计及参数的自动配对。算法不牺牲阵列孔径,最大程度地降低了回波数据的维数,具有更低的运算复杂度。仿真结果验证了该文理论分析的正确性和算法的有效性。
[Abstract]:In this paper, two reduced dimension DOA estimation methods based on Esprit algorithm are proposed to solve the two-dimensional angle estimation problem of L-array MIMO radar. Firstly, the high-dimensional echo data is converted to the low-dimensional signal space by the design of the dimensionality reduction matrix and the reduced dimension transformation of the echo data, and then the estimation of the signal subspace is obtained based on the eigendecomposition and propagation operator, respectively. Finally, Esprit algorithm is used to realize the joint estimation of two dimensional spatial angle parameters and the automatic matching of parameters. The algorithm reduces the dimension of echo data without sacrificing array aperture and has lower computational complexity. The simulation results verify the correctness of the theoretical analysis and the validity of the algorithm.
【作者单位】： 合肥电子工程学院401室;
【基金】：国家自然科学基金(60702015) 电子工程学院院控科研基金(KY13A206)资助课题
【分类号】：TN957.51
[Abstract]:In this paper, two reduced dimension DOA estimation methods based on Esprit algorithm are proposed to solve the two-dimensional angle estimation problem of L-array MIMO radar. Firstly, the high-dimensional echo data is converted to the low-dimensional signal space by the design of the dimensionality reduction matrix and the reduced dimension transformation of the echo data, and then the estimation of the signal subspace is obtained based on the eigendecomposition and propagation operator, respectively. Finally, Esprit algorithm is used to realize the joint estimation of two dimensional spatial angle parameters and the automatic matching of parameters. The algorithm reduces the dimension of echo data without sacrificing array aperture and has lower computational complexity. The simulation results verify the correctness of the theoretical analysis and the validity of the algorithm.
【作者单位】： 合肥电子工程学院401室;
【基金】：国家自然科学基金(60702015) 电子工程学院院控科研基金(KY13A206)资助课题
【分类号】：TN957.51
【参考文献】
相关期刊论文 前4条
1 蔡晶晶;鲍丹;李鹏;赵国庆;;强约束优化降维MUSIC二维DOA估计[J];电子与信息学报;2014年05期
2 王伟;王晓萌;李欣;陈广;;基于MUSIC算法的L型阵列MIMO雷达降维DOA估计[J];电子与信息学报;2014年08期
3 郑志东;张剑云;屈金佑;林秀清;;新的双基地MIMO雷达角度估计方法[J];通信学报;2012年12期
4 郑志东;张剑云;康凯;李小波;;互耦条件下双基地MIMO雷达的收发角度估计[J];中国科学:信息科学;2013年06期
【共引文献】
相关期刊论文 前10条
1 郭艺夺;张永顺;张林让;童宁宁;;双基地MIMO雷达相干分布式目标快速角度估计算法[J];电子与信息学报;2011年07期
2 陈晨;张小飞;李建峰;;波形相关矩阵未知情况下单基地MIMO雷达中一种改进MUSIC的DOA估计算法[J];电子与信息学报;2012年12期
3 王伟;王r，
本文编号：2132329
本文链接：https://www.wllwen.com/kejilunwen/wltx/2132329.html
