Frequency spectrum is considered to be scarce and valuable resource. Techniques, which help in its utilization, are welcome. Among these techniques is the beamforming in which a set of weight vector is obtained for optimum error solution. Many algorithms are used in the optimization process. The least mean square error is often used because of its simplicity and reasonable performance. In tight specifications environments (low SINR, close angular separation between the desired signal and the interference) the authors noticed degradation in the LMS performance. Therefore, a higher order error function is proposed in this paper, a technique named generalized minimum mean error (GMME). Simulation tests showed that increasing the order of the error function leads to better performance with no significant increase in the computational costs.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Beamforming in Tight Specifications Environment using Generalized Minimum Mean Error (GMME) Algorithm


    Beteiligte:


    Erscheinungsdatum :

    01.03.2007


    Format / Umfang :

    307957 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Beamforming in Tight Specifications Environment

    Srar, Jalal A. / Abu-Ellal, Omar A. / El-Jabu, Bashir A. | IEEE | 2007


    How to Write Tight Stormwater Treatment Specifications

    British Library Online Contents | 2006




    Multi-Split Least-Mean-Square Adaptive Generalized Sidelobe Canceller for Narrowband Beamforming

    Resende, L. S. / Souza, R. D. / Bellanger, M. G. et al. | British Library Conference Proceedings | 2003