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Use of multiple antennas at the transmitter and receiver can increase wireless communication system capacity enormously. Maximum likelihood detection (MLD) algorithm provides the best bit error rate (BER) performance for multiple-input multiple-output (MIMO) system. However, the computational complexity of ML detection algorithm grows exponentially with the number of transmit antennas, which results...
In this paper a soft output detector for a MIMO-CDMA system with data-dependent spreading waveforms is proposed. In such systems, the spreading waveforms used by transmit antennas are dependent on the transmitting data. The proposed soft output detector calculates the reliability of each detected bits in terms of LLRs, hence an outer convolutional encoder with soft input Viterbi decoder is used to...
Large MIMO systems with tens of antennas in each communication terminal using full-rate non-orthogonal space- time block codes (STBC) from cyclic division algebras (CDA) can achieve the benefits of both transmit diversity as well as high spectral efficiencies. Maximum-likelihood (ML) or near-ML decoding of these large-sized STBCs at low complexities, however, has been a challenge. In this paper, we...
We propose an implementation of the tapped delay line adaptive array (TDLAA) at the base station for improving the BER performance of asynchronous multi-user in mobile communication over fast fading channels using multiple antennas. The data in each user at the mobile station, which applies two transmit antennas, are encoded by space time block code (STBC). The proposed scheme transmits the pilot...
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