A spatio-temporal equalization method for 60 GHz indoor wireless local area networks

This paper proposes a spatio-temporal equalization method which employs a cascade configuration of an adaptive array and a decision feedback equalizer (DFE). With this configuration, the proposed equalizer requires small numbers of weights, and, hence, low computational complexity. However, it has to pay a price for the simplicity, namely, noise enhancement due to high sidelobe levels in certain radio propagation environments. We have settled the problem by introducing beamforming criterion selectability. The proposed equalizer changes a criterion in the beam-weight calculation depending on the estimated channel condition. Therefore, it can achieve good performance even in the channel models where directions of arrival (DOAs) of incoming waves are randomly determined. This paper investigates the bit error rate (BER) performance of the proposed equalizer in various channel models, which are based on measurement reports, in comparison with the performance of an adaptive tapped-delay-line (TDL) array