Error bounds on the Rayleigh approximation of the  K  ‐distribution | Zendy

Weinberg Graham V. | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Error bounds on the Rayleigh approximation of the K ‐distribution

Author(s) -

Weinberg Graham V.

Publication year - 2016

Publication title -

iet signal processing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.384

H-Index - 42

ISSN - 1751-9683

DOI - 10.1049/iet-spr.2014.0364

Subject(s) - rayleigh distribution , rayleigh scattering , distribution (mathematics) , property (philosophy) , mathematics , radar , approximation error , algorithm , signal (programming language) , computer science , mathematical analysis , physics , telecommunications , optics , philosophy , programming language , epistemology

It is a well‐known property in X‐band maritime surveillance radar signal processing that the K ‐distribution limits to a Rayleigh as its shape parameter increases, justifying the Rayleigh approximation of the K ‐distribution in certain scenarios. In the analysis of real data, it has been observed that this approximation tends to be valid for shape parameters >20. Using Stein's method, it is possible to construct explicit bounds on the distributional differences to quantify this observation.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research