基于非均匀采样的空时级联频率和到达角估计  

Estimation of spatio-temporal cascaded DOA-frequency with nonuinform sampling

作　　者：李安 王殊[1] 屈晓旭[1] 程卓[1] 

机构地区：[1]华中科技大学电子与信息工程系,湖北武汉430074 [2]南昌大学电子系,江西南昌330031

出　　处：《系统工程与电子技术》2010年第3期478-482,共5页Systems Engineering and Electronics

摘　　要：将时域的非均匀采样扩展到空域阵列信号处理,提出了一种基于非均匀采样的空时级联频率和到达角估计方法。利用非均匀时延间隔的延迟器组成的虚拟阵列估计出信号频率,再基于非均匀空域采样估计出该频率上的信号到达角。该方法充分利用了非均匀采样时间间隔的随机性,突破了时域和空域采样定理的限制,解决了在使用较大阵元间距的条件下空时二维频率和到达角估计的模糊问题,不需要二维搜索和额外的配对过程,同时增大的阵元间距也显然提高了估计的精度和分辨率,仿真实验证明了该方法的有效性及小信噪比条件下估计精度的改善。Nonuniform sampling（NUS） in time domain is introduced to spatial signal processing,and a spatio-temporal cascaded processing with NUS is proposed to estimate direction-of-arrival（DOA） and frequency,which employs one-dimensional（1-D） frequency multiple signal classification（MUSIC） based on virtual array with nonuniform time delay interval and 1-D space MUSIC based on NUS among sensors to jointly estimate DOA and frequency.Owing to inherent anti-aliasing feature of NUS with the random variation in time interval,larger array aperture is available without spatio-temporal ambiguity,which enhances the resolution and estimation accuracy.In addition,the proposed approach is computational efficiency as it needs only 1-D search and no extraneous methods for matching DOA and frequency.Simulation results,furthermore,show that the proposed algorithm is an effective way for far-field sources angle-frequency estimation and capable of improving the estimation performance,especially at low SNR regions.

关 键 词：非均匀采样 频率估计 到达角估计 空时级联 

分 类 号：TN911.23[电子电信—通信与信息系统] TN820.5[电子电信—信息与通信工程]