Novel estimation algorithm for direction of arrival based on principal component analysis
Guo Tian-tian · Systems engineering and electronics · 2005
Many high resolution algorithms based on subspace technology like MUSIC and ESPRIT estimate the direction of arrival of plane wave impinging on an array of sensors via eigendecomposition in array signal processing. However high computational burden for eigendecomposition makes them unsuitable for real time processing. An iterative algorithm for signal subspace estimation based on principal component analysis is proposed. The algorithm contains only relatively simple operations and has self organizing properties. Simulations show that the proposed algorithm has an analogy performance with MUSIC algorithm.