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This paper presents the design and simulation of an Adaptive receiver structure using the Normalized Least-mean-square (NLMS) for impulsive noise reduction in Additive White Gaussian Noise (AWGN) based communication systems. The NLMS algorithm is applied for the adaptive control mechanism in order to reduce the impact of impulsive noise. An AWGN system model that uses BPSK, QPSK and 16-QAM modulation...
Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM), MIMO-OFDM, is considered as a spectrally efficient approach to achieve high throughput communications. This paper investigates the performance of MIMO-OFDM system using the proposed NLMS adaptive equalizer and the developed Singular Value Decomposition (SVD) technique in estimating the channel. The performances...
In wireless communications, multi-channel transmission is utilized to obtain high capacity and better throughput efficiency. Multiple-Input Multiple-Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) is considered as a spectrally efficient approach to achieve high throughput communications. This paper investigates the performance of the MIMO-OFDM system using a NLMS adaptive receiver...
This paper presents the design and analysis of smart antenna systems used for the detection and estimation of correlated radio signals encountered in multipath environments using circular antenna arrays. The MUSIC algorithm along with spatial smoothing is used for this purpose. A Matlab-based graphical user interface (GUI) toolbox is designed specifically for this purpose. The toolbox allows for studying...
A new and simple method to adjust the step-size (μ) of the standard Normalized Least Mean Square (NLMS) adaptive algorithm is proposed here. The value of μ is totally controlled by the use of a Pseudorandom Noise (PRN) uniform distribution that is defined by values from 0 to 1. Randomizing the step-size parameter eliminates much of the trade-off between residual error and convergence speed compared...
This paper investigates the performance of using the Least-Mean-Mixed-Norm algorithm (LMMN) in the adaptation of asynchronous DS-CDMA slow fading, non-linear receiver. The investigations study the effect of using various mixing parameter (λ) and step-size (μ) on the performance of the proposed algorithm in terms of mean-square error (MSE) and bit-error-rate (BER). Computer simulation results indicate...
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