Title :
MIMO equalization for space-time coded signals using cyclostationarity
Author_Institution :
Sch. of Electr. Eng. & Telecommun., New South Wales Univ., Sydney, NSW, Australia
Abstract :
We investigate the equalization and channel identification for space-time block coded signals over a frequency-selective multiple-input multiple output (MIMO) channels. The equalization is considered by taking into account the cyclostationarity of space-time block coded signals. The minimum mean square error (MMSE) solutions are derived for linear and decision feedback (DF) equalizers. Due to the redundancy induced by space-time block coding, a blind estimation for MIMO channels is investigated by using the subspace method. Together with pilot symbols, the semi-blind channel estimation can be used and it can result in less (bit error rate) performance degradation of the MMSE linear and DF equalizers.
Keywords :
MIMO systems; block codes; channel estimation; decision feedback equalisers; error statistics; least mean squares methods; space-time codes; MIMO equalization; bit error rate; blind estimation; channel identification; cyclostationarity; decision feedback equalizers; frequency-selective multiple-input multiple output channels; minimum mean square error; performance degradation; semi-blind channel estimation; space-time block codes; space-time coded signals; subspace method; Bit error rate; Block codes; Channel estimation; Equalizers; Feedback; Frequency; MIMO; Mean square error methods; Redundancy; Signal processing;
Conference_Titel :
Vehicular Technology Conference, 2003. VTC 2003-Spring. The 57th IEEE Semiannual
Print_ISBN :
0-7803-7757-5
DOI :
10.1109/VETECS.2003.1207545
