  Design of Space-Time Block Codes (STBCs) for Maximum Likelihood (ML)
reception has been predominantly the main focus of researchers. However, the ML
decoding complexity of STBCs becomes prohibitive large as the number of
transmit and receive antennas increase. Hence it is natural to resort to a
suboptimal reception technique like linear Minimum Mean Squared Error (MMSE)
receiver. Barbarossa et al and Liu et al have independently derived necessary
and sufficient conditions for a full rate linear STBC to be MMSE optimal, i.e
achieve least Symbol Error Rate (SER). Motivated by this problem, certain
existing high rate STBC constructions from crossed product algebras are
identified to be MMSE optimal. Also, it is shown that a certain class of codes
from cyclic division algebras which are special cases of crossed product
algebras are MMSE optimal. Hence, these STBCs achieve least SER when MMSE
reception is employed and are fully diverse when ML reception is employed.
