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In this paper, we deploy a modified version of Shanno algorithm in order to optimize the bit error rate (BER) cost function using a nonlinear block optimization strategy for its minimization. The resulting algorithm is called the Block Shanno Minimum BER (BSMBER), which is conducted in the design of spatial multiuser receivers for orthogonal frequency division multiplexing (OFDM) system using multiple...
Beamforming is a key technology in smart antenna systems that can increase capacity and coverage and mitigate multipath propagation in mobile radio communication systems. The most popular criterion for linear beamforming is the minimum mean square error (MMSE). However, the mean square error (MSE) cost function is not optimal in terms of the bit error probability performance of the system. A class...
We formulate a block processing objective function for the bit error rate (BER) cost function and present a nonlinear optimization strategy for its rapid minimization. The resulting algorithm is called the block Shanno minimum BER (BSMBER), which is conducted in the context of DS-CDMA with beamforming applications. Simulation analyses show the enhancements in convergence rate and BER performance of...
A class of adaptive beamforming algorithms was proposed based on directly minimizing the bit-error rate (BER). The popular linear minimum bit error rate (MBER) stochastic beamforming algorithms suffer from low convergence speed and large training data. In this paper, we investigate the use of adaptive stochastic gradient-Newton normalized MBER algorithms in the design of linear beamformer receivers...
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