Multiple Signal Classification (MUSIC) algorithm is a tool to estimate DOA of incoherent signals. Spatial smoothing of MUSIC has been introduced to estimate DOA of coherent and completely correlated signals. Previous researches simulated and evaluated the performance of conventional and Spatially Smoothed versions of MUSIC algorithm for special cases. In this investigation in addition considering AWGN the effect of multipath fading in different SNRs, number of sensors, number of signal samples (snapshots), distance between array elements and number of sub-arrays for MUSIC and smoothed version has been considered. Simulations have been done for two cases, two completely coherent paths as case one and three paths with two completely coherent paths and one incoherent as second one. Simulation results show high performance of MUSIC algorithm to estimate incoherent signals. Coherent signals will be estimated via spatially MUSIC algorithm as well as incoherent signals in MUSIC algorithm.
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