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机构地区:[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001
出 处:《西安电子科技大学学报》2013年第5期66-71,98,共7页Journal of Xidian University
基 金:国家自然科学基金资助项目(61102106);中央高校基本科研业务费专项基金资助项目(HEUCF1208;HEUCF100801)
摘 要:利用L形阵列结构的优势,结合一种有效的去除高斯噪声方法,提出了一种计算简便且阵列利用率高的独立信号与相干信号并存的二维波达方向(DOA)估计新方法.该测向方法首先对独立信号进行DOA估计,并利用相干信号的特性消除其干扰;然后利用独立信号的Toeplitz特性,获得仅含相干信息的数据矩阵,并采用基于压缩感知理论的测向方法进行相干信号的DOA估计.理论分析和实验仿真结果表明,所提方法具有去噪性好、计算简便及阵列利用率高等性能.The common two dimensional (2-D) direction of arrival (DOA) estimation algorithms for coexisting uncorrelated and coherent signals are based on the complex array structure,such as the uniform rectangular array,so the computational complexity is high and the array aperture is not utilized efficiently.By taking advantage of the L-shape array and adopting an efficient method to eliminate the Gaussian noise,a new 2-D DOA estimation method is proposed.Firstly,the DOAs of the uncorrelated signals are estimated and the influence of the coherent signals is eliminated by utilizing its characteristics.Then,the data covariance matrix containing the coherent information only is obtained by exploiting the Toeplitz property of the uncorrelated signals,and the DOAs of the coherent signals are estimated by the direction finding method based on the compressed sensing theory.Theoretical analysis and simulation results show that the proposed method has a small computational load,high array aperture as well as excellent estimation performance.
关 键 词:二维波达方向估计 L形阵列 独立信号与相干信号 Toeplitz特性 压缩感知
分 类 号:TN911.7[电子电信—通信与信息系统]
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