Modification of a Modulation Recognition Algorithm to Enable Multi-Carrier Recognition - Angela M Waters
-35% koodilla BOOKS
30 päivän palautusoikeus
Modulation recognition is important for both military and commercial communication applications, particularly in cases where enhanced situation awareness and/or channel assessment is required to mitigate intentional or collateral interference. Modulation recognition via statistical analysis is a key aspect of non-cooperative signal interception, classification, and exploitation. This research concerns the e ... Täydellinen kuvaus
Saatat myös pitää
TOP
The Body Keeps the Score: Brain, Mind, and Body in the Healing of Trauma
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
No Bad Parts: Healing Trauma and Restoring Wholeness with the Internal Family Systems Model
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Maybe You Should Talk to Someone: a therapist, her thearapist, and our lives revealed
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
The Myth of Normal: Trauma, Illness, and Healing in a Toxic Culture
-35% koodilla BOOKS
Varastossa
TOP
Oxford Handbook of Clinical Medicine
Peter Hateley, Iain McGurgan, Ian B. Wilkinson, Tim Raine, Dearbhla Kelly, Kate Wiles
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Harrison's Principles of Internal Medicine (Vol.1 & Vol.2)
Stephen Hauser, Joseph Loscalzo, Steven Holland, Dan Longo, J. Larry Jameson, Dennis Kasper, Carol Langford, Anthony Fauci
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
The Checklist Manifesto: How to Get Things Right
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Oxford Handbook of Anaesthesia
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
On Connection: 'Powerful' MATT HAIG
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
How Not To Die: Discover the foods scientifically proven to prevent and reverse disease
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Vademecum Metabolicum: Diagnosis and Treatment of Inborn Errors of Metabolism Forword by William L. Nyhan, San Diego, USA
Johannes Zschocke, Georg F. Hoffmann
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Cellular and Molecular Immunology
Sarah Henrickson, Abul K. Abbas, Andrew H. Lichtman, Shiv Pillai
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Physics, Pharmacology and Physiology for Anaesthetists: Key Concepts for the FRCA
Matthew E. Cross, Emma V. E. Plunkett
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Being Mortal: Medicine and What Matters in the End
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Pocket Guide to Teaching for Clinical Instructors
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Oxford Handbook of Critical Care
Andrew Webb, Mervyn Singer, Alice Carter
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
The Wills Eye Manual: Print + eBook with Multimedia: Office and Emergency Room Diagnosis and Treatment of Eye Disease
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Who Deserves Your Love: How to Create Boundaries to Start, Strengthen or End Any Relationship
-35% koodilla BOOKS
Toimittajalla varastossa
Kuvaus
Modulation recognition is important for both military and commercial communication applications, particularly in cases where enhanced situation awareness and/or channel assessment is required to mitigate intentional or collateral interference. Modulation recognition via statistical analysis is a key aspect of non-cooperative signal interception, classification, and exploitation. This research concerns the evaluation and modification of a conventional Digitally Modulated Signal Recognition Algorithm (DMRA) to enable multi-carrier, OFDM, waveform recognition. The original DMRA architecture was developed to classify communication signals for three fundamental data modulations, i.e., ASK, PSK, and FSK. By adding an additional key feature and threshold to the original DMRA architecture, a modified DMRA architecture is developed to enable the reliable recognition of OFDM waveforms. Simulation results for the modified DMRA architecture show a 95.25% success rate for OFDM waveform recognition at a signal-to-noise ratio (SNR) of 11:0 dB. When operated under scenarios where FSK signals are neither present nor considered an alternative, the modified DMRA architecture yields a success rate of 98.25% for classifying OFDM at a SNR of 5:0 dB.
Lisätietoja
| Kirjoittaja | Angela M Waters |
|---|---|
| Julkaisija | Creative Media Partners, LLC |
| Julkaisuvuosi | 2012 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9781249397908 |