Multiple Signal Classification Algorithms for Evaluation of Coherent and NonCoherent Signals

Abstract

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