--This paper investigates a new soft interference canceller (SIC) based turbo equalizer. The SIC is configured as a decision feedback (DF) equalizer that uses two linear transversal filters. Both the filters update their taps as per the least mean square (LMS) algorithm. This receiver is different from the receivers discussed in literature in the sense that it uses the soft outputs of both the ...

This paper proposes a spatio-temporal equalization method, which employs a cascade configuration of an adaptive array and a decision feedback equalizer (DFE). With the configuration, the proposed equalizer requires small number of weights, and hence, low computational complexity, however, it has to pay a price for the simplicity, namely, noise enhancement due to high sidelobe levels in certain ...

In this paper a computationally e cient Decision Feedback Equalizer (DFE) is proposed. The new equalizer is appropriate for channels with long and sparse impulse response (IR) as those encountered in many wireless communications applications. The main feature of the algorithm is that the actual size of the computationally demanding feedback lter is signi cantly reduced. This is achieved by expl...

An adaptive equalizer is a vital and essential component for high-speed reliable data transmission through wired as well as wireless communication channels to minimize Inter Symbol Interference (ISI). The non-linear Adaptive Decision Feedback Equalizer (ADFE) finds enormous use in applications where the channel distortion is severe for a linear equalizer to handle. High hardware cost of the sys...

In this paper we study an LMS-DFE. We use the ODE framework to show that the LMS-DFE attractors are close to the true DFE Wiener filter (designed considering the decision errors) at high SNR. Therefore, via LMS one can obtain a computationally efficient way to obtain the true DFE Wiener filter under high SNR. We also provide examples to show that the DFE filter so obtained can significantly out...

In this paper, we analyze the behavior of the Weighted Decision Feedback Equalizer (WDFE), mainly from filtering properties aspects. This equalizer offers the advantage of limiting the error propagation phenomenon. It is well known that this problem is the main drawback of Decision Feedback Equalizers (DFEs), and due to this drawback DFEs are not used very often in practice in severe channels (...

The multivariable decision feedback equalizer (DFE) is investigated as a tool for multiuser detection and interference rejection. Three different DFE structures are introduced. The first DFE has a non-causal feedforward filter and a causal feedback filter. We show how its parameters can be tuned to give a minimum mean-square error. The second DFE is derived under the constraint of realizability...

Abstract—In this paper, we investigate the architecture and performance of a decision feedback equalizer (DFE) based multiuser receiver for asynchronous direct sequence code division multiple access (DS-CDMA) systems. The DFE consists of a feedforward filter (FFF) and a feedback filter (FBF) to combat the intersymbol interference (ISI) and multiple access interference (MAI). We use an adaptive,...

Due to the inherent feedback in a decision feedback equalizer (DFE) the minimummean square error (MMSE) or Wiener solution is not known exactly. The main difficulty in such analysis is due to the propagation of the decision errors, which occur because of the feedback. Thus in literature, these errors are neglected while designing and/or analyzing the DFEs. Then a closed form expression is obtai...