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A multistep linear prediction approach to blind asynchronous CDMA channel estimation and equalization

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2 Author(s)
J. K. Tugnait ; Dept. of Electr. & Comput. Eng., Auburn Univ., AL, USA ; Tong-tong Li

A multistep linear prediction approach is presented for blind channel estimation, multiuser interference (MUI) suppression, and detection of asynchronous short-code direct sequence code division multiple access signals in multipath channels. Only the spreading code of the desired user is assumed to be known; its transmission delay may be unknown. We exploit the previously proposed multistep linear prediction approach for blind multiple-input multiple-output channel estimation in conjunction with the structure imposed by the desired user's spreading code sequence. With the knowledge of the desired user's code sequence, only the second-order statistics of the data are needed under certain sufficient conditions on the underlying multiuser MIMO transfer function. Based on the desired user's channel estimate, a linear minimum mean square error filter is designed for simultaneous equalization and MUI suppression. Three illustrative simulation examples are presented

Published in:

IEEE Journal on Selected Areas in Communications  (Volume:19 ,  Issue: 6 )