Title :
Joint angle and frequency estimation using structured least squares
Author :
Cheng Qian ; Lei Huang ; Yunmei Shi ; So, Hing Cheung
Author_Institution :
Dept. of Electron. & Inf. Eng., Harbin Inst. of Technol., Shenzhen, China
Abstract :
A structured least squares based ESPRIT method is devised for joint direction-of-arrival and frequency estimation. By considering the errors in the estimated signal subspace and employing an iterative minimization procedure, the proposed approach is able to efficiently refine the estimated signal subspace, leading to significant enhancement in estimation performance. Simulation results demonstrate the effectiveness of the proposed approach.
Keywords :
direction-of-arrival estimation; frequency estimation; iterative methods; least squares approximations; minimisation; ESPRIT method; iterative minimization procedure; joint angle and frequency estimation; joint direction-of-arrival and frequency estimation; spatial-temporal radio channel measurement; structured least squares; Complexity theory; Direction-of-arrival estimation; Estimation; Frequency estimation; Joints; Signal processing algorithms; Signal to noise ratio;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6854145
