Block-Data-Based Gradient Adaptive Minimum Bit Error Rate Beamforming using Variable Kernel Estimator

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Provided by: The International Journals of Engineering & Sciences (IJENS)
Topic: Hardware
Format: PDF
The Minimum Bit Error Rate (MBER) beamforming is one of the intelligent adaptive beamforming techniques used in Smart Antenna (SA) system. It directly minimizes the BER performance. It is based on the approximating the probability density function (pdf) of the beamformer's output using block-data-adaptive MBER algorithm which iteratively minimizes the estimated BER by adjusting the beamformer weights. There are many pdf estimators can be utilized to approximate the unknown pdf from the observed data. A widely used of approximating a pdf is known as the kernel or Parzen window-based estimator.
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