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In this paper, we explore a complex-valued neural networks (NNs) with incorporating the mechanism of stochastic resonance (SR). SR is a phenomenon where weak periodic signals in the system can be detected by the presence of the noise. It is expected that the combination of complex-valued and SR mechanism will improve the performance of NNs, rather than NNs with either of them. The performances are...
In this paper, a metric weighting scheme on a coded fractional sampling orthogonal frequency division multiplexing (FS OFDM) system is investigated. FS achieves path diversity with a single antenna through oversampling and subcarrier-based maximal ratio combining (MRC). Though the oversampling increases diversity order, correlation among noise components may deteriorate bit error rate (BER) performance...
MIMO-OFDM systems are expected to realize higher data rates and larger capacity. With more transmit and receive antennas the capacity of MIMO-OFDM systems increases. However, when the number of demodulators is limited, it is essential to select antenna points which achieve selection diversity. On the other hand, through Fractional Sampling (FS), it is possible to separate multipath components and...
In the IEEE802.11a WLAN standard, orthogonal frequency division multiplexing (OFDM) modulation is employed. Diversity techniques are usually utilized to overcome fading channels in OFDM systems. Furthermore, a diversity technique with one antenna is desirable because the form factor of the terminal is important. Fractional sampling (FS) scheme is one of the diversity techniques with a single antenna...
A diversity scheme with fractional sampling (FS) in OFDM receivers is investigated recently. When a sharp filter is employed, the correlation of noise samples among the adjacent subcarriers increases, and the performance of this scheme is deteriorated. Therefore, low-complexity subcarrier based MMSE combining scheme with the subblock of the noise covariance matrix is proposed in this paper. Numerical...
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