An optimized Channel Estimation using MB-OFDM System in UWC

Bikramaditya Das

ISBN 10: 620911864X / ISBN 13: 9786209118647

Published by LAP LAMBERT Academic Publishing Okt 2025, 2025

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -In underwater communications, a system is wideband when the message bandwidth significantly exceeds the coherence bandwidth of the channel. MIMO (Multi-Input Multi-Output) has become an essential element of wireless communication. The main issue in MIMO is the occurrence of ISI (Inter-Symbol Interference) which results in degradation of performance. To attain bandwidth efficiency and ISI suppression ability, the Multi-band (MB) orthogonal frequency division multiplexing (OFDM) is a most reliable technique. In order to identify the unknown system with considerable computation complexity and accuracy, a novel Multichannel Adaptive Filter is employed with Group average clustering based Fast QR Decomposed Normalised Least Mean Square Algorithm and Normalised Sign Algorithm.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch.

Seller Inventory # 9786209118647

Bibliographic Details

• Title: An optimized Channel Estimation using MB-OFDM System in UWC
• Publisher: LAP LAMBERT Academic Publishing Okt 2025
• Publication Date: 2025
• Language: English
• ISBN 10: 620911864X
• ISBN 13: 9786209118647
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 7D millimeters 220 millimeters width by 150 millimeters height by 7 millimeters depth
• Weight: 191 grams

About this title

Synopsis

In underwater communications, a system is wideband when the message bandwidth significantly exceeds the coherence bandwidth of the channel. MIMO (Multi-Input Multi-Output) has become an essential element of wireless communication. The main issue in MIMO is the occurrence of ISI (Inter-Symbol Interference) which results in degradation of performance. To attain bandwidth efficiency and ISI suppression ability, the Multi-band (MB) orthogonal frequency division multiplexing (OFDM) is a most reliable technique. In order to identify the unknown system with considerable computation complexity and accuracy, a novel Multichannel Adaptive Filter is employed with Group average clustering based Fast QR Decomposed Normalised Least Mean Square Algorithm and Normalised Sign Algorithm.