We propose an iterative synchronizer for chip-interleaved timehopping multiuser ultra-wideband signals subject to intersymbol interference (ISI). The novelty of the design is that it is a soft-input soft-output synchronizerwhich enables to exploit the performance gains of iterative multiuser detection and equalization techniques. The performance of the synchronizer is visualized with simulation...

We look at multiple-track detection for magnetic recording systems that use array heads to write and read over multiple tracks simultaneously. The recording channel is modeled as having intersymbol interference (ISI) in the axial direction, and intertrack interference (ITI) in the radial direction. Optimum multihead and single-head detectors are derived and analyzed in terms of error-probabilit...

In this letter new upper bounds for the performance of the optimum combined symbol-by-symbol (SbS) Abend–Fritchman-like equalizer and decoder are presented, and a related criterion for the actual design of good trellis-coded-modulated (TCM) schemes effectively matched to the distortion introduced by the intersymbol interference (ISI)-corrupted transmission channel is developed. The actual appli...

SUMMARY This paper proposes a new channel estimation method and a new interference cancellation scheme for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems in the presence of intersymbol interference (ISI). The proposed channel estimation method uses special training sequences (TSs) to have a desirable crest-factor of the transmitted training signal,...

A new modified version called decision feedback complex recurrent neural network equalizer (DFCRNNE) is proposed with the study of complex recurrent neural network equalizer (CRNNE). Based on DFCRNNE, a modified real time recurrent learning (CRTRL) algorithm is developed. Simulation results show that DFCRNNE has better performance than CRNNE based on traditional CRTRL algorithm2 in complex nonl...

In this paper we address sequence estimation when the InterSymbol Interference (ISI) communication channel is unknown and time varying. We employ a Maximum A Posterior (MAP) approach, in which the unknown channel parameters are assigned a distribution and integrated out. For several channel models of interest we describe both the exact MAP estimator and Viterbi algorithm based implementations. ...

In this paper, a blind sequence estimation algorithm based on interacting multiple model is introduced to estimate the channel and the transmitted sequence corrupted by ISI (intersymbol interference) and noise. The proposed algorithm avoids the exponential growth complexity caused by increasing channel memory length. The performance of the IMM (interacting multiple model) based equalizer is stu...

This discussion will be primarily focused on the problem of jointly suppressing the different interferences such as Multiple Access Interference (MAI) and Intersymbol Interference (ISI), which are the limiting sources of interference for high data-rate wireless applications, as in wireless multimedia or Spread Spectrum Code Division Multiple Access. After describing the general problem of inter...

The spatial and temporal focusing properties of time reversal methods can be exploited for undersea acoustic communications. Spatial focusing mitigates channel fading and produces a high signal-to-noise ratio at the intended receivers along with a low probability of interception elsewhere. While the temporal focusing (compression) reduces significantly intersymbol interference (ISI), there alwa...

This paper presents performance analysis of an adaptive Volterra/Hybrid equalizer in a nonlinear magneto-optic data storage channel. In a data storage system, nonlinear intersymbol interference (ISI) is one of the limiting factors for high storage density. Volterra and Hybrid (combination of linear and Volterra) equalizers are proposed and developed for compensation of nonlinear ISI. The use of...