A practical MMSE-ML detector for a MIMO SC-FDMA system

We propose a new minimum mean square error (MMSE) based maximum likelihood (ML) detector for a single carrier frequency division multiple access system. By utilizing the distance between decision line and MMSE soft-output, the proposed detector reduces the resources required to check superfluously accurate reliability of received symbol. The proposed detector provides almost same bit error rate with the conventional MMSE-ML detector while requiring significantly low computational complexity (below 10%) as SNR varies.