Joint 2-D Angle and Frequency Estimation for Uniform Circular Array
In this paper, we address the problem of joint 2-D angle and frequency estimation based on uniform circular array (UCA). We derive an ESPRIT-type algorithm to solve his problem and handle the estimation jointly by stacking the data matrix. We show that finally this problem turns to the estimation of the real joint eigenvalues of four real matrices. We solve the joint eigenvalue estimation by a recently proposed simultaneous diagonalization algorithm in order to achieve the advantages of the algorithm, i.e. strong identifiability results and autopairing capacity. The limitation of such strategy for UCA is iscussed.
Tuo Fu Shi Jin Xiqi Gao
National Mobile Communications Research Lab Southeast University, Nanjing, P.R.China
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
230-233
2006-06-25(万方平台首次上网日期,不代表论文的发表时间)