Adaptive minimum bit error rate beamforming assisted receiver for QPSK wireless communication

نویسندگان

  • Sheng Chen
  • Lajos Hanzo
  • Nurul Nadia Ahmad
  • Andreas Wolfgang
چکیده

This paper considers interference limited communication systems where the desired user and interfering users are symbol-synchronized. A novel adaptive beamforming technique is proposed for quadrature phase shift keying (QPSK) receiver based directly on minimizing the bit error rate. It is demonstrated that the proposed minimum bit error rate (MBER) approach utilizes the system resource (antenna array elements) more intelligently, than the standard minimum mean square error (MMSE) approach. Consequently, an MBER beamforming assisted receiver is capable of providing significant performance gains in terms of a reduced bit error rate over an MMSE beamforming one. A block-data based adaptive implementation of the theoretical MBER beamforming solution is developed based on the classical Parzen window estimate of probability density function. Furthermore, a sample-by-sample adaptive implementation is also considered, and a stochastic gradient algorithm, called the least bit error rate, is derived for the beamforming assisted QPSK receiver.

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 minimum bit error rate beamforming assisted receiver for wireless communications

A novel adaptive beamforming technique is proposed for wireless communication application based on the minimum bit error rate (MBER) criterion. It is shown that the MBER approach provides significant performance gain in terms of smaller bit error rate (BER) over the standard minimum mean square error (MMSE) approach. Using the classical Parzen window estimate of probability density function (p....

متن کامل

Effect of Modulation Schemes on Performance of OFDM based Wireless Network using Smart Antenna

In this paper we have presented the effect of different modulation Techniques (QPSK, 16QAM and 64QAM) and number of antenna elements at the receiver (Smart Antenna) on the performance of beamforming in OFDM based Wireless network. The performance of the proposed technique is tested for adaptive beam forming algorithm, Least Mean Square (LMS), improved LMS and conventional beamforming for differ...

متن کامل

Adaptive Beamforming Assisted Receiver

Adaptive beamforming is capable of separating user signals transmitted on the same carrier frequency, and thus provides a practical means of supporting multiusers in a space-division multipleaccess scenario. Moreover, for the sake of further improving the achievable bandwidth efficiency, highthroughput quadrature amplitude modulation (QAM) schemes have becomes popular in numerous wireless netwo...

متن کامل

Minimum Bit Error Rate Pre-FFT Beamforming for OFDM Communication Systems

In broadband wireless communication, the adaptive antenna array (AAA) is combined with orthogonal frequency division multiplexing (OFDM) to combat the inter-symbol interference (ISI) and the directional interferences. One of the two main techniques which are used in OFDM systems is called Pre-FFT, where an optimum beamformer weight set is obtained in time domain before Fast Fourier Transform (P...

متن کامل

Adaptive beamforming for binary phase shift keying communication systems

The paper revisits adaptive beamforming assisted receiver for multiple antenna aided multiuser systems that employ binary phase shift keying (BPSK) modulation. The standard minimum mean square error (MMSE) design is based on the criterion of minimising the mean square error (MSE) between the beamformer’s desired output and complex-valued beamformer’s output. Since the desired output for BPSK sy...

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:
  • Digital Signal Processing

دوره 15  شماره 

صفحات  -

تاریخ انتشار 2005