E. GeraniotisHSUAN-JUNG SU2018-09-102018-09-102002-09https://www.scopus.com/inward/record.uri?eid=2-s2.0-0036748142&doi=10.1109%2fTCOMM.2002.802554&partnerID=40&md5=30c4c0ab8c899d4f2822ebcf430a9624We consider the design of an array processor for space-time coded multi-antenna systems. As an alternative to the previously proposed zero-forcing method, in this paper, the maximum signal-to-noise ratio (SNR) criterion is used to obtain a balance between interference suppression and noise enhancement. Although the same in concept, this work differs from the conventional minimum mean-squared error method in that there is more than one desired signal dimension each corresponding to one of the space-time coded streams. It will be shown that the number of linear filters required by the maximum SNR array processor is no more than the dimension of the signal space or the number of collaborating transmit antennas. The advantages of this design are highly improved performance and reduced decoding complexity.Array processing; Diversity; Space-time codesAntenna arrays; Errors; Gaussian noise (electronic); Interference suppression; Mathematical models; Probability; Signal to noise ratio; Theorem proving; Additive white Gaussian noise; Array processing; Minimum mean squared error method; Space-time coded systems; Signal processingjournal article10.1109/TCOMM.2002.8025542-s2.0-0036748142WOS:000178195200007