In this work we present a n adaptive interference canceler in mult iuser and multipath scenarios. The detector has two key elements: a n adaptive algorithm f o r separating the signal subspace f r o m the noise subspace and a decision feedback equalizer based o n the Generalized Cerebellar Model Art iculat ion Controller (GCM A C ) neural network. Examples demonstrate the performance of this eq...

Ocean environment is highly characterised by spatial and temporal variation. For effective communication in the ocean, proper modelling of the channel is essential. In our paper, tap channel modelling is done and impulse response of the channel was calculated. An optimum step size for an adaptive equalizer is calculated and applied in the channel to study the effective transmission of signals a...

This paper proposes a new spatio-temporal equalization method using a cascade configuration of an adaptive antenna array and a DFE (Decision Feedback Equalizer). The spatio-temporal equalizer with the cascade configuration can be realized in low computational complexity, however, the error performance surface becomes a fourth-order function of the weights, and possibly has two minima. In order ...

We propose a symbol-based decision algorithm for blind equalization of quadrature amplitude modulation signals. It jointly update the feedforward and feedback filters of a decision feedback equalizer and performs similarly to a supervised adaptive algorithm, such as the normalized least meansquares algorithm. Besides presenting strategies to speed up its convergence, we provide sufficient condi...

Differential space-time modulation (DSTM) for multiple antenna communication systems has been recently proposed for frequency-nonselective fading channels. In broadband multirate systems, frequency-selective fading may occur. In this paper, the DSTM in frequency-selective fading channels is considered. A linear equalizer for the DSTM is proposed over frequency-selective fading channels. Further...

We introduce bootstrapping as a generic method for improving channel equalization in TDMA cellular systems where the channels remain approximately constant over a transmitted burst. Bootstrapping implies that the detection is repeated, using an equalizer tuned with detected symbols. The procedure can be iterated to achieve even better performance. The initial equalizer is assumed to be tuned us...

An importance sampling (IS) simulation method is presented for evaluating the lower-bound symbol error rate (SER) of the Bayesian decision feedback equalizer (DFE) with M -PAM symbols, under the assumption of correct decision feedback. By exploiting an asymptotic property of the Bayesian DFE, a design procedure is developed, which chooses appropriate bias vectors for the simulation density to e...

An importance sampling (IS) simulation method is presented for evaluating the lower-bound symbol error rate (SER) of the Bayesian decision feedback equalizer (DFE) with -PAM symbols, under the assumption of correct decision feedback. By exploiting an asymptotic property of the Bayesian DFE, a design procedure is developed, which chooses appropriate bias vectors for the simulation density to ens...

The emerging machine learning technique called support vector machines is proposed as a method for performing nonlinear equalization in communication systems. The support vector machine has the advantage that a smaller number of parameters for the model can be identified in a manner that does not require the extent of prior information or heuristic assumptions that some previous techniques requ...

Channel estimate based equalizers are those for which observations of the received signal are used to estimate the channel impulse response and possibly the statistics of the interfering noise field, and these estimates are used to calculate the equalizer filter coefficients. Channel estimate based decision feedback equalizers (CE-DFE), linear MMSE equalizers (L-MMSE), and Passive Time-Reversal...