Non-Gaussian statistic model, alpha stable distribution has gained much attention due to its generality to represent heavy-tailed and impulsive interference. Unfortunately, there is no closed form expression for the probability density function of alpha-stable distributions. Hereby, to develop the approximate expressions is of importance for signal detection and denoising. This paper is concerned with the weak signal detection in α-stable interference. We present a novel approximate expression that is a simplified version of Cauchy-Gaussian mixture (CGM) for symmetric α-stable (SαS) distribution. Consequently, the non-linearity limiter of locally optimal (LO) detector is deduced. Compared with Cauchy detector, the proposed detector has near optimal performance.


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    Titel :

    A Simplified Non-Gaussian Mixture Model for Signal LO Detection in a-Stable Interference


    Beteiligte:
    Li, Xutao (Autor:in) / Jin, Lianwen (Autor:in) / Wang, Shouyong (Autor:in)


    Erscheinungsdatum :

    01.05.2008


    Format / Umfang :

    430171 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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