Two-Dimensional Direction Tracking of Coherent Signals with Two Parallel Uniform Linear Arrays
In some practical applications,the two-dimensional (2-D) direction-of-arrivals (DOAs) of incident signals should be estimated adaptively or the time-varying 2-D DOAs should be tracked promptly from the noisy array data,and multipath propagation is usually encountered due to various reflections,where the incident signals are caused to be coherent (i.e.,fully correlated).In this paper,we propose a new computationally efficient subspace-based adaptive algorithm for 2-D DOA tracking of multiple coherent incident signals by using two parallel uniform linear arrays (ULAs).In the proposed algorithm,the computationally expensive eigendecomposition and the pair-matching of estimated 2-D DOAs are avoided,and the association of estimated 2-D DOAs at two successive time instants is accomplished by employing the Luenberger observer and dynamic model of direction trajectories.The effectiveness of the proposed algorithm are verified through numerical examples.
Two-dimensional direction-of-arrival estimation adaptive filtering algorithm pair-matching Luenberger observer
Jiayi Wu Jingmin Xin Guangmin Wang Jiasong Wang Nangning Zheng Akira Sano
Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian 710049, China;Xi Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian 710049, China State Key Laboratory of Astronautic Dynamics, Xian 710043, China Department of System Design Engineering, Keio University, Yokohama 223-8522, Japan
国际会议
2012 IEEE 11th International Conference on Signal Processing (第11届IEEE信号处理国际会议)
北京
英文
183-187
2012-10-21(万方平台首次上网日期,不代表论文的发表时间)