Without appealing to the circularity assumption of the a priori estimation error in [2], two closed-form analytical expressions for the steady-state excess mean-square error (EMSE) in a noise-free environment are deri...
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Without appealing to the circularity assumption of the a priori estimation error in [2], two closed-form analytical expressions for the steady-state excess mean-square error (EMSE) in a noise-free environment are derived again based on Taylor series expansion for real and complex bussgang algorithms, respectively;and the restrictive conditions of these two expressions for the steady-state EMSE are also given.
In this paper, bussgang algorithm is developed as a blind equalizer for multi-carrier multi-input multi-output (MIMO) channels to combat both spatial multiplexing interference and channel variations. Also, the Bussgan...
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ISBN:
(纸本)9781424402656
In this paper, bussgang algorithm is developed as a blind equalizer for multi-carrier multi-input multi-output (MIMO) channels to combat both spatial multiplexing interference and channel variations. Also, the bussgang technique is extended with adapting the one or two parameters in its nonlinear function. The bussgang algorithm and its two extended version are simulated and compared to the full known channel (ideal) and decision directed cases. Frame error rate (FER) and bit error rate (BER) of both coded and uncoded cases, are considered as comparison criteria and it is shown that the much performance improvement is achieved compared to decision directed algorithm and each of the three proposed schemes presents the best performance in the different criteria and Eb/N0.
In this paper, bussgang algorithm is developed as a blind equalizer for multi-carrier multi-input multi-output (MIMO) channels to combat both spatial multiplexing interference and channel variations. Also, the Bussgan...
详细信息
In this paper, bussgang algorithm is developed as a blind equalizer for multi-carrier multi-input multi-output (MIMO) channels to combat both spatial multiplexing interference and channel variations. Also, the bussgang technique is extended with adapting the one or two parameters in its nonlinear function. The bussgang algorithm and its two extended version are simulated and compared to the full known channel (ideal) and decision directed cases. Frame error rate (FER) and bit error rate (BER) of both coded and uncoded cases, are considered as comparison criteria and it is shown that the much performance improvement is achieved compared to decision directed algorithm and each of the three proposed schemes presents the best performance in the different criteria and Eb/N0.
A new hybrid higher-order statistics (HOS) and second-order statistics (SOS) based approach to improve the performance of the standard bussgang algorithm for blind equalisation of digital communication channels is pre...
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A new hybrid higher-order statistics (HOS) and second-order statistics (SOS) based approach to improve the performance of the standard bussgang algorithm for blind equalisation of digital communication channels is presented. An additional term based on SOS has been added to the conventional cost function and the Bayesian estimator has been replaced with an adaptive activation function. This is shown to give faster convergence by an order of magnitude, both in terms of epochs and the mean square error between input and output symbols at different signal-to-noise ratios.
This paper presents a simulation model for a spread spectrum communication system. This model was implemented with a ADSP 21020 microcomputer from Analog Devices. The model evaluates the performances of the communicat...
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ISBN:
(纸本)0780335678
This paper presents a simulation model for a spread spectrum communication system. This model was implemented with a ADSP 21020 microcomputer from Analog Devices. The model evaluates the performances of the communication system for channel with various distortions and interferences. An adaptive blind equalizer is used in order to remove the inter symbol interference due the channel with distortion. The experimental results show that system may be used for binary communications without errors, even for a very channel with distortion and sinusoidal interference. The simulation model represents a useful tool for evaluate by simulation the performance of the communication system.
A blind equalization algorithm which makes use of the ''Stop'' region of the Stop-and-Go algorithm is proposed. By adaptively updating the tap weights at the Stop region as well, it is intended to impr...
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A blind equalization algorithm which makes use of the ''Stop'' region of the Stop-and-Go algorithm is proposed. By adaptively updating the tap weights at the Stop region as well, it is intended to improve the convergence property of the Stop-and-Go algorithm. The performance of the proposed algorithm is compared with the conventional Stop-and-Go algorithm using various communication channels. Simulation results indicate the improvement of the convergence speed while maintaining or possibly lowering the residual error.
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