A Spatio-Temporal Equalization Method with Beamforming Criterion Selectability

This paper proposes a spatio-temporal equalization method, which employs a cascade configuration of an adaptive array and a decision feedback equalizer (DFE). With the configuration, the proposed equalizer requires small number 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. In this paper, we settle the problem by introducing beamforming criterion selectability. The proposed equalizer changes a criterion in spatial weight calculation depending on 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 the channel models, which are based on measurement reports, in comparison with adaptive tapped-delay-line (TDL) arrays.