Performance assessment of polynomial expansion detectors in MIMO channels with measured data
Laura Cottatellucci · 2001
Polynomial expansion detectors introduced in [1] combined with recent results in random matrix theory were found to be powerful low-complexity tools to mitigate interference on multiple-input multiple-output (MIMO) communication channels [2]. The random matrix model of communication via antenna arrays proposed in [3] characterizes the channel in terms of its asymptotic eigenvalue distribution by a single parameter. Reference [4] generalises the polynomial expansion in [2] to multiple-input-multiple-output(MIMO) communication channels promising very good performance at complexity per bit that grows only linearly with the number of antennas. The reliability of the results reported in [4] strongly depends on the accuracy of the used asymptotic random matrix model to describe the antenna array channel. In this paper, we provide performance results of said receiver in terms of bit error rate and signal-to-interference ratio for communication over real-world MIMO channels that were measured recently in our office in Vienna. Computer simulations show that, for more than 5 antennas, performance with measured data is close to the prediction found with the asymptotic random matrix models used in [4] and only little behind the performance of far more complex receivers, such as the linear MMSE receiver, that involve matrix inversions to combat crosstalk. 1.