Blind MAI and ISI suppression for DS/CDMA systems using HOS-based inverse filter criteria

• Published in: IEEE transactions on signal processing Vol. 50; no. 6; pp. 1368 - 1381
• Main Authors: CHI, Chong-Yung, CHEN, Chii-Horng, CHEN, Ching-Yung
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.06.2002; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Applied sciences; Blind equalizers; Blinds; Code division multiple access; Criteria; Deconvolution; Delay estimation; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Higher order statistics; Information, signal and communications theory; Interference; Intersymbol interference; Inverse; Matched filters; MIMO; Multiaccess communication; Multiple access interference; Multistage; Signal and communications theory; Signal processing; Signal, noise; Telecommunications and information theory; MIMO system; Multistage method; Algorithm; Blind equalization; Multipath channels; Statistical method; Interference suppression; Deconvolution; Simulation; Intersymbol interference; Code division multiple access; Signal processing; Direct sequence; Cumulant
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2002.1003061

Cumulant-based inverse filter criteria (IFC) using second-and higher order statistics (HOS) proposed by Tugnait et al. (1993) have been widely used for blind deconvolution of discrete-time multi-input multi-output (MIMO) linear time-invariant systems with non-Gaussian measurements through a multistage successive cancellation procedure, but the deconvolved signals turn out to be an unknown permutation of the driving inputs. A multistage blind equalization algorithm (MBEA) is proposed for multiple access interference (MAI) and intersymbol interference (ISI) suppression of multiuser direct sequence/code division multiple access (DS/CDMA) systems in the presence of multipath. The proposed MBEA, which processes the chip waveform matched filter output signal without requiring any path delay information, includes blind deconvolution processing using IFC followed by identification of the estimated symbol sequence with the associated user through a user identification algorithm (UIA). Then, some simulation results are presented to support the proposed MBEA and UIA. Finally, some conclusions are drawn.