Locally optimal detector design in impulsive noise with unknown distribution

Locally optimal detector design in impulsive noise with unknown distribution

Abstract This paper designs the locally optimal detector (LOD) in additive white impulsive noise with unknown distribution. Unlike traditional LODs derived from a known or approximated noise probability density function (PDF), the LOD proposed in this paper is achieved by designing the zero-memory n...

Full description

Bibliographic Details
Main Authors: Zhongtao Luo, Peng Lu, Gang Zhang
Format: Article
Language:English
Published: SpringerOpen 2018-06-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Locally optimal detector
ZMNL function
Non-Gaussian distribution
Polynomial fitting
Online Access:http://link.springer.com/article/10.1186/s13634-018-0560-x

Internet

http://link.springer.com/article/10.1186/s13634-018-0560-x

Similar Items