An algorithm is described for initial synchronization in a communication system with a digital adaptive array. This algorithm can also be used for message extraction. A set of consecutive complex video samples of the array output is processed to obtain optimum adaptive array weights, based on a least mean square (LMS) error criterion. This computation is performed for each of the possible alternative signals which may be present during an observation interval. The correct synchronization time or message symbol is selected as the one which yields the minimum LMS error. Assuming orthogonality of the alternative codes, a probability distribution for the output of this processor has been derived.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    An Adaptive Array Signal Processing Algorithm for Communications


    Contributors:

    Published in:

    Publication date :

    1982-01-01


    Size :

    1692678 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Study Of Adaptive-Array Signal Processing

    Satorius, Edgar H. / Griffiths, Lloyd | NTRS | 1990


    Adaptive beamforming for array signal processing in aeroacoustic measurements

    Huang, Xun / Bai, Long / Vinogradov, Igor et al. | Tema Archive | 2012


    Adaptive Signal Processing for Cochannel Interference Rejection in Cellular Communications

    Shynk, J. J. / International Federation of Automatic Control | British Library Conference Proceedings | 2000


    Applying Machine Learning to Adaptive Array Signal Processing Weight Generation

    Singman, Matthew P. / Narayanan, Ram M. | IEEE | 2024


    Photorefractive Phased-Array Processor using Coherent, Adaptive Optical-Signal Processing

    Kriehn, G. / Wagner, K. / Optical Society of America | British Library Conference Proceedings | 2003