Title :
Prefilter design using the singular value decomposition for MIMO equalization
Author :
Song, Bong-Gee ; Ritcey, James A.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
Abstract :
This paper describes a new prefilter design method for MIMO communication channels with equalizers. The prefilter is designed in the frequency domain to make the channel easier to equalize. We apply the singular value decomposition (SVD) of the channel frequency response to design the prefilter. The new prefilter achieves a performance improvement at high signal to noise ratio (SNR) while keeping the performance at low SNR. We also show the advantage of transmitter diversity.
Keywords :
IIR filters; MIMO systems; adaptive filters; adaptive signal processing; diversity reception; equalisers; filtering theory; frequency-domain synthesis; singular value decomposition; telecommunication channels; transmitters; IIR prefilter; MIMO communication channels; MIMO equalization; adaptive algorithms; channel frequency response; equalizers; frequency domain; high signal to noise ratio; low SNR; performance improvement; prefilter design method; singular value decomposition; transmitter diversity; Design methodology; Equalizers; Equations; Finite impulse response filter; Frequency domain analysis; IIR filters; MIMO; Pulse shaping methods; Signal to noise ratio; Singular value decomposition;
Conference_Titel :
Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7646-9
DOI :
10.1109/ACSSC.1996.600812
