Title :
Performance of cumulant based inverse filter criteria for blind deconvolution of multi-input multi-output linear time-invariant systems
Author :
Chi, Chong-Yung ; Chen, Chii-Horng
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
Tugnait (1997), and Chi and Chen proposed multi-input multi-output inverse filter criteria (MIMO-IFC) using higher-order statistics for blind deconvolution of multi-input multi-output (MIMO) linear time-invariant (LTI) systems. This paper proposes a performance analysis for the MIMO linear equalizer associated with MIMO-IFC for finite SNR, including (P1) perfect phase equalization property, (P2) a relation to MIMO minimum mean square error (MIMO-MMSE) equalizer, and (P3) a connection with the one obtained by Yeung and Yau´s MIMO super-exponential algorithm (MIMO-SEA) that usually converges fast but has no guarantee of convergence for finite data. Furthermore, based on (P3), a MIMO-IFC based algorithm with performance similar to that of the MIMO-SEA and with guaranteed convergence is proposed. Finally, some simulation results are presented to support the analytic results and the proposed algorithm
Keywords :
MIMO systems; convergence of numerical methods; deconvolution; equalisers; filtering theory; higher order statistics; least mean squares methods; LTI systems; MIMO-IFC; MIMO-MMSE; MIMO-SEA; blind deconvolution; convergence; cumulant; equalizer; finite SNR; higher-order statistics; inverse filter criteria; linear equalizer; linear time-invariant systems; minimum mean square error; multi-input multi-output systems; perfect phase equalization; performance analysis; simulation; super-exponential algorithm; Algorithm design and analysis; Analytical models; Convergence; Deconvolution; Equalizers; Higher order statistics; MIMO; Mean square error methods; Nonlinear filters; Performance analysis;
Conference_Titel :
Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on
Conference_Location :
Pocono Manor, PA
Print_ISBN :
0-7803-5988-7
DOI :
10.1109/SSAP.2000.870143
