Prevoting cancellation-based detection for underdetermined MIMO systems

Various detection methods including the maximum likelihood (ML) detection have been studied for multiple-input multiple-output (MIMO) systems. While it is usually assumed that the number of independent data symbols, M, to be transmitted by multiple antennas simultaneously is smaller than or equal to that of the receive antennas, N, in most cases, there could be cases where M > N, which results in underdetermined MIMO systems. In this paper, we employ the prevoting cancellation based detection for underdetermined MIMO systems and show that the proposed detectors can exploit a full receive diversity. Furthermore, the prevoting vector selection criteria for the proposed detectors are taken into account to improve performance further. We also show that our proposed scheme has a lower computational complexity compared to existing approaches, in particular when slow fading MIMO channels are considered.