NDLI: Detection Schemes for Weak Signals in First-Order Moving Average of Impulsive Noise

Content Provider	IEEE Xplore Digital Library
Author	In Jong Kim So Ryoung Park Iickho Song Jumi Lee Hyoungmoon Kwon Seokho Yoon
Copyright Year	1967
Abstract	In this paper, the detection of weak signals in additive noise described by the first-order moving average (FOMA) of an impulsive process is considered. Specifically, decision regions of the maximum likelihood (ML) and suboptimum ML (S-ML) detectors are derived in the FOMA noise model, and specific examples of the ML and S-ML decision regions are obtained. The ML and S-ML detectors are employed in the antipodal signaling system and compared in terms of bit error rate in an impulsive noise environment. Numerical results show that the S-ML detector, despite its reduced complexity and simpler structure, exhibits practically the same performance as the optimum ML detector. It is also observed that the performance gap between detectors for FOMA and independent and identically distributed noise becomes larger as the degree of noise impulsiveness increases
Sponsorship	IEEE Vehicular Technology Society
Starting Page	126
Ending Page	133
Page Count	8
File Size	288071
File Format	PDF
ISSN	00189545
Volume Number	56
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Working environment noise Detectors Signal detection Additive noise Maximum likelihood detection Sampling methods Laboratories Random processes Signal processing Communication system signaling weak signal Dependent noise detection first-order moving average (FOMA) impulsive noise suboptimum scheme
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Analysis of weak signal detectors under moving average of impulsive noise.

Analysis of Weak Signal Detectors Under Moving Average of Impulsive Noise

Analysis of Optimum Weak Signal Detectors under Moving Average Model of Non-Gaussian Noise

A Comparative Analysis of Optimum and Suboptimum Rake Receivers in Impulsive UWB Environment

Maximum likelihood and suboptimum detectors and their performance under dependent gaussian channels.

Performance comparison of signal detectors for dependent Gaussian channels

Optimum and Suboptimum Space-Diversity Detection of Weak Signals in Non-Gaussian Noise

Locally Optimum Detection of Signals in Multiplicative and First-Order Markov Additive Noises

Breadth-first maximum likelihood sequence detection: basics

Detection Schemes for Weak Signals in First-Order Moving Average of Impulsive Noise

Similar Documents

Analysis of weak signal detectors under moving average of impulsive noise.

Analysis of Weak Signal Detectors Under Moving Average of Impulsive Noise

Analysis of Optimum Weak Signal Detectors under Moving Average Model of Non-Gaussian Noise

A Comparative Analysis of Optimum and Suboptimum Rake Receivers in Impulsive UWB Environment

Maximum likelihood and suboptimum detectors and their performance under dependent gaussian channels.

Performance comparison of signal detectors for dependent Gaussian channels

Optimum and Suboptimum Space-Diversity Detection of Weak Signals in Non-Gaussian Noise

Locally Optimum Detection of Signals in Multiplicative and First-Order Markov Additive Noises

Breadth-first maximum likelihood sequence detection: basics

Detection Schemes for Weak Signals in First-Order Moving Average of Impulsive Noise