الفهرس 
INTRODUCTION TO DOA ALGORITHMSOnly 14 pages are availabe for public view
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Abstract
The goal of this study is to utilize the benefits of Multiple Signal Classification (MUSIC) algorithm and Root-MUSIC in dealing with adjacent coherent sources in spite they are designed mainly for dealing with uncorrelated sources. The goal is not only correction of correlation matrix to identify the direction of arrival (DOA) of coherent sources, but also enhancing resolution to discriminate adjacent coherent signals impinging the uniform linear array (ULA), which requires enhancing factors which are power factor (PF), snapshots factor (SF) and element factor (EF). They are simulated and discussed in graphical form for MUSIC and called (Enhanced Coherent MUSIC) (EC-MUSIC) and numerical form for Root-MUSIC which is called (Enhanced Coherent Root-MUSIC) (EC-RMUSIC) aiming optimum case solution. Degradation in EC-Root-MUSIC resolution performance when increasing values of these factors extremely, are explored. The study extends to investigating other factors affecting DOA, namely: elements interspacing, signal to noise ratio (SNR), which are evaluated versus error percentage. Comparison between (EC-RMUSIC) and (ECEstimation of Signal Parameters using Rotational Invariance Techniques (ESPIRIT)) is made to investigate a better resolution algorithm for DOA. Processing time is a major factor which cannot be ignored in the case of this study. Processing time is investigated versus error percentage and factors values to get an optimum case with a compromise with the time factor.