A Two-Dimensional DOA Tracking Algorithm Using PAST with L-Shape Array
Gaojian Lu, Bin Xiang Hu, Xiaofei Zhang · Procedia Computer Science · 2017
In this paper, we proposed a 2D-DOA tracking algorithm using projection approximation and subspace tracking (PAST) with L-shape Array. The proposed algorithm obtains signal subspace by PAST, without any eigen-value decomposition (EVD) of the covariance matrix, Compared with off-line algorithms, PAST algorithm has a much lower computational complexity. Finally we use ESPRIT algorithm to achieve automatically paired 2D-DOA estimation.