Space-time decision feedback equalisation using a minimum bit error rate design for single-input multiple-output channels

نویسندگان

  • Sheng Chen
  • Andreas Wolfgang
  • Y. Shi
  • Lajos Hanzo
چکیده

This contribution proposes a minimum bit error rate (MBER) decision feedback equaliser (DFE) designed for single-input multiple-output (SIMO) systems employing a quadrature phase shift keying (QPSK) modulation scheme. It is shown that this MBER design is superior over the standard minimum mean square error DFE in the SIMO scenario considered, in terms of the achievable system bit error rate. A sample-by-sample adaptive implementation of this MBER DFE is derived, which is referred to as the least bit error rate (LBER) algorithm. It is shown that for SIMO systems using a QPSK scheme, the LBER algorithm has a similar computational complexity as the simple least mean square (LMS) algorithm. Simulation results demonstrate that the proposed adaptive LBER-based DFE outperforms the adaptive LMS-based DFE, in both stationary and fading cases. Index Terms Single-input multiple-output, multiple antennas, space-time processing, decision feedback equaliser, minimum mean square error, minimum bit error rate

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Adaptive Space-Time Equalisation for Multiple-Antenna Assisted Multiple-Input Multiple-Output Systems

This paper investigates an adaptive space-time equalisation (STE) assisted multiuser detection scheme for multiple-antenna aided multiuser systems. A minimum bit error rate (MBER) design is compared with the standard minimum mean square error (MMSE) design. It is shown that the MBER design provides significant performance enhancement, in terms of achievable system bit error rate, over the MMSE ...

متن کامل

Adaptive Bayesian space-time equalisation for multiple receive-antenna assisted single-input multiple-output systems

This contribution considers nonlinear space–time equalisation (STE) for multiple receive-antenna induced single-input multipleoutput (SIMO) systems. By exploiting the inherent symmetry of the underlying optimal Bayesian STE solution, a novel symmetric radial basis function (RBF) based STE scheme is proposed, which is capable of approaching the optimal Bayesian equalisation performance. Adaptive...

متن کامل

Predicting Force in Single Point Incremental Forming by Using Artificial Neural Network

In this study, an artificial neural network was used to predict the minimum force required to single point incremental forming (SPIF) of thin sheets of Aluminium AA3003-O and calamine brass Cu67Zn33 alloy. Accordingly, the parameters for processing, i.e., step depth, the feed rate of the tool, spindle speed, wall angle, thickness of metal sheets and type of material were selected as input and t...

متن کامل

Performance Analysis of OSTBC MIMO Using Precoder with ZF & MMSE Equalizer

In this paper, a bit error rate analysis is presented for multiple-input–multiple-output (MIMO) system with finite-bit feedback is considered in PSK modulation technique, where a transmit signal consists of a rotational precoder followed by an orthogonal space–time block code (OSTBC) which achieve full diversity when a linear receiver, such as, zeroforcing (ZF) or minimum mean square (MMSE), is...

متن کامل

Reduced - Complexity Turbo Equalization with Multiple

| In this paper, nite{length multi{input multi{ output (MIMO) channel{shortening lters are derived and used as preelters for turbo equalizers. These preelters reduce the number of turbo equalizer states signiicantly while maximizing the SNR at its input. Achievable bit error rates for the original and shortened MIMO channel are compared via simulation in a multipath fading environment. I. Intro...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • IET Communications

دوره 1  شماره 

صفحات  -

تاریخ انتشار 2007