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@article{148045,
        author = {D. D. KHUMANE and Dr. S. M. JAGADE and V. M. MHALGI},
        title = {Performance Evaluation of DOA Estimation using PM and MUSIC},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {11},
        pages = {736-739},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=148045},
        abstract = {This paper presents analysis of simulation results for Direction of arrival estimation for smart antenna system using eigenvalue decomposition and non Eigen value decomposition based algorithm. Direction of arrival (DOA) estimation in smart antenna for identifying the directions of the desired signals and the  null steering beamformer to adapts the antenna pattern to steer the main beam towards the desired user and nullify all other interference. Once DOA estimation is over using beamforming algorithm beam form in desired direction using any one beamforming algorithm. This system can be used to reduce multipath and co-channel interference. This paper simulation results showing how performance of power spectra for DOA estimation using Music and PM appear for smart antenna system. These benefits include the enhancement of coverage and the channel capacity , lower transmitted power, better signal quality, higher data rate and providing value-added services such as user’s position location (PL) and at the same time to minimize interference arising from other user by introducing nulls in their  direction.},
        keywords = {Direction- of-Arrival (DOA) Estimation, Multiple Signal classification (MUSIC), PM (Propagator Method), Least Mean Square (LMS).},
        month = {},
        }