Improving the Performance of DOA Estimation with Spatial Smoothing via Noise Reduction
Volodymyr I. Vasylyshyn, Oleksandr Barsukov, Maksym Kasianenko, Павло Вікторович Опенько, Кузнєцов Олександр Леонідович · 2020
The existence of a set of correlated or coherent signals that has a place in the practical case of multipath invalidates application of the subspace-based methods of parameter estimation and requires some modification of signal processing or preprocessing. The problem of direction -of-arrival (DOA) estimation is considered in the paper. Modified spatial smoothing procedure which combines the ideas of truncated eigenvalue decomposition (or singular value decomposition) and spatial smoothing is proposed in the paper. The simulation results confirming the performance of proposed procedure used with super-resolution methods are presented.