Performance Analysis of MUSIC Algorithms for Evaluation of Coherent and Non-Coherent Signals

The demand for increased capacity in wireless communication system is improved using Direction-of-arrival (DOA) estimation algorithm which corresponds to finding the direction in which desired user and the interference lie for directional antenna array. Many DOA algorithms exists amongst which Multiple Signal Classification (MUSIC), Improved MUSIC are investigated. The proposed work investigates and compares MUSIC and Improved MUSIC DOA estimation algorithm on the uniform linear array (ULA) which are used in design of smart antenna system. MUSC algorithm is high resolution subspace based method which is used to estimate DOA of incoherent signals. Spatial smoothing of MUSIC is introduced to estimate DOA of coherent and completely correlated signal. For closely spaced users this optimization is very important and will be helpful while increasing the mobile services and number of users in a limited area. As a result the performance of cellular systems will be enhanced.