Adaptive Modulation based MIMO-OFDM Receiver design for Underwater Acoustic Communication
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Abstract
Adaptive modulation (AM) technique may make more promote in the execution of wireless communication systems through adaptively conformity transmitter parameters to fading channels; therefore, it has been taken as one of the key physical techniques in underwater acoustic communication. This paper offers a general overview of the adaptive modulation scheme in wireless multiple-input multiple-output (MIMO) systems with Orthogonal Frequency Division Multiplexing (OFDM). Study a set of properties by which adaptive modulation systems are evaluated, and also, discuss modulation schemes, channel modeling and estimation in detail since it is utilized in most current system or solutions, as well survey some MIMO models which are included in adaptive modulation activities in order to enhance the data rate and throughput. In this work, the channel is estimated using Kalman filter. Kalman Filter (KF) is a well-known algorithm for estimation and prediction especially when data has a lot of noise. The EKF is also considered to be the de-facto standard. This paper will provide the idea of MIMO-OFDM receiver design using Adaptive modulation and channel estimation for underwater acoustic communication.
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