Performance comparison of spatial spectrum estimation classic algorithm
Chaohui Lv · Electronic Design Engineering · 2013
Spatial spectrum estimation is an important research direction in array signal processing.Spatial spectrum estimation theory and the technology has matured,in recent decades classical spectral estimation techniques include: Conventional beam forming(CBF),Capon spectral estimation,multiple signal classification(MUSIC),and rotation invariant sub-space algorithm(ESPRIT),maximum likelihood(ML) and subspace fitting(SF) and the extension of these algorithms and deformation.The above algorithms have a specific in-depth theoretical analysis and research in various scattered articles,but for all of these algorithms performance comparison as I know there is no publicly reported,and make the choice of algorithm not have the basis while the project implementation.The paper provide a classical algorithm introduction,lists the advantages and disadvantages of each algorithm,and the simulation to the properties which can provide the performance of each algorithm contrast,provides the theory basis of choice for the project implementation algorithm.