An optimized Channel Estimation using MB-OFDM System in UWC - Das, Bikramaditya
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
Dr. Bikramaditya Das is currently working as Associate Professor at Department of Electronics and Communication Engineering, Biju Patnaik University of Technology, Odisha, Rourkela, India- 769015. His special fields of interest includes formation control of autonomous underwater vehicles, robotics and wireless communication.