Weighted Kalman Based Detection for Uplink MIMO Systems

Rapid innovations in the fifth generation (5G) networks have unveiled new challenges, mainly the transmission rate maximization. One of the most promising key technologies for the upcoming 5G communication systems is massive multiple input multiple output (MIMO) that has been proven to boost the spectral efficiency and ensure a better system capacity. In fact, deploying a large number of transmit and receive antennas in MIMO networks can enhance the system performance. Nevertheless, the uplink signal detection still be very challenging in massive MIMO networks. In this paper, we adopt a massive MIMO scenario and we introduce a weighted-Kalman uplink detection approach that is able to improve the system performance in terms of the bit error rate (BER) when using a large number of receive antennas. Simulations results confirm that the proposed algorithm performs better than Minimum Mean Square Error (MMSE) and Kalman filter detectors, especially for medium and high signal-to-noise ratio (SNR).