Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: An optimized Channel Estimation using MB-OFDM System in UWC (Paperback)
Publisher: LAP Lambert Academic Publishing
Publication Date: 2025
Language: English
ISBN 10: 620911864X
ISBN 13: 9786209118647
Binding: Paperback
Condition: new

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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.

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