非圆信号的二维相干测向新方法  

Two-dimensional DOA Estimation for Coherent Noncircular Sources

作　　者：赵大勇 赵振宇[2] 安春莲[3] 

机构地区：[1]空军通信导航与指挥自动化研究所,北京100085 [2]哈尔滨师范大学教师教育学院,黑龙江哈尔滨150001 [3]哈尔滨工程大学信息与通信工程学院,哈尔滨150001

出　　处：《哈尔滨理工大学学报》2013年第5期82-86,90,共6页Journal of Harbin University of Science and Technology

基　　金：国家自然科学基金(61102106)

摘　　要：传统的二维相干测向算法都是针对圆信号提出的,且要求大快拍数和较多阵元数,在低信噪比时估计性能较差.通过充分利用非圆信号的特点和L型阵列的结构优势,提出了一种非圆信号的二维解相干新方法.该方法利用阵列接收信号数据及其共轭信号数据,重新构造阵列接收数据矩阵,有效地扩展了阵列孔径;同时,提出了一种修正的空间平滑技术进行解相干,最后采用ESPRIT算法实现相干信号的二维DOA估计.所提方法具有阵列利用率高的优点,能够有效弥补传统二维测向算法阵列利用率低的缺点,提高了ESPRIT算法在低信噪比时的估计性能.实验仿真结果表明,所提方法能够有效实现二维相干信号估计并且估计性能优良.The common two-dimensional DOA estimation algorithms are mostly based on circular signals, and require a large number of slap shot and array elements, and the performance of estimation at low SNR is poor. By utilizing the characteristics of the noncircular sources and the structure of the L-shape array, a 2-D DOA estimation method for coherent noncircular sources is proposed. Firstly, both the array received signal data and its conjugate signal data are exploited to form a reconstructed received covariance matrix, so that the array aperture is enlarged. Then, a modified space smoothing method is proposed to de-correlate the coherent data, and the ESPRIT algorithm is adopted to estimate the DOAs. The proposed method is effective at small array element number and low slap number, in which the common ESPRIT algorithms fail to estimate. Moreover, it can improve the estimation per- formance at low SNR as well. Simulation results show that the proposed algorithm can estimate coherent sources ef- fectively and has much better performance than that of common ESPRIT algorithms.

关 键 词：非圆信号 相干源 二维DOA估计 ESPRIT算法 L型阵列 

分 类 号：TN911.7[电子电信—通信与信息系统]