DocumentCode :
396461
Title :
Jointly minimum symbol error rate FIR MIMO transmitter and receiver filters for PAM signal vectors
Author :
Hjorungnes, Are ; Diniz, Paulo S R
Author_Institution :
Signal Process. Lab., Helsinki Univ. of Technol., Espoo, Finland
Volume :
4
fYear :
2003
fDate :
25-28 May 2003
Abstract :
A theory is developed for jointly minimizing the symbol error rate (SER) between the desired and decoded signals with respect to the coefficients of the transmitter and receiver FIR multiple-input multiple-output (MIMO) filters. The original source signal is assumed to be a vector source with equally likely memoryless PAM vector components. The channel model constitutes a known FIR MIMO transfer function and Gaussian additive channel noise independent of the original signal. The channel input signal is assumed to be power constrained. When compared to the methods available in the literature, the proposed method yields better results due to the joint optimization of the transmitter-receiver pair.
Keywords :
FIR filters; Gaussian channels; Gaussian noise; MIMO systems; error statistics; filtering theory; matrix algebra; minimisation; receivers; time series; transfer functions; transmitters; FIR MIMO receiver filters; FIR MIMO transfer function; FIR MIMO transmitter filters; FIR multiple-input multiple-output filters; Gaussian additive channel noise; SER; channel model; joint optimization; jointly minimum symbol error rate; memoryless PAM vector components; power constrained channel input signal; transmitter-receiver pair; vector source signal; Additive noise; Decoding; Error analysis; Filtering theory; Finite impulse response filter; Gaussian noise; MIMO; Optimization methods; Transfer functions; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
Type :
conf
DOI :
10.1109/ISCAS.2003.1205759
Filename :
1205759
Link To Document :
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