Direction finding of signal subspace fitting algorithm based on reconstructed fractional lower order covariance
Ming Diao · Chinese Journal of Radio Science · 2009
Based on reconstructed fractional lower order covariance(RFLOC)matrix,a RFLOC-multiple signal classification(MUSIC)algorithm and a RFLOC-signal subspace fitting(SSF)algorithm are proposed for direction finding.In order to quickly implement the proposed algorithms,an adaptive differential particle swarm optimization(ADPSO)algorithm is designed to search multi-dimensional optimal solution.The ADPSO is a global optimization algorithm for direction finding,which takes advantage of the merits of differential evolutionary algorithm and particle swarm algorithm.It proves that the proposed algorithms not only can find coherent sources,but also are superior to some previous classical algorithms in performance.