A minimum bit error rate (MBER) decision feedback equaliser (DFE) designed for single-inputmultiple-output (SIMO) systems employing a quadrature phase shift keying (QPSK) modulation scheme is proposed. It is shown th...
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A minimum bit error rate (MBER) decision feedback equaliser (DFE) designed for single-inputmultiple-output (SIMO) systems employing a quadrature phase shift keying (QPSK) modulation scheme is proposed. 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.
The new algorithm change the question of blindly recovering the transmitted signals into the one of quadratic optimization with integer constraints through generalized left null space of received data matrix, and then...
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The new algorithm change the question of blindly recovering the transmitted signals into the one of quadratic optimization with integer constraints through generalized left null space of received data matrix, and then it can effectively identify the SIMO channel with common zeros through the estimated transmitted signals. The simulation results show that the new algorithm is evidently better than other algorithms in the previous literatures. Moreover, it has the excellent performance in estimating SIMO channel with common zeros.
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