
For FullText PDF, please login, if you are a member of IEICE,
or go to Pay Per View on menu list, if you are a nonmember of IEICE.

A SpaceTime Signal Decomposition Algorithm for Downlink MIMO DSCDMA Receivers
YungYi WANG WenHsien FANG JiunnTsair CHEN
Publication
IEICE TRANSACTIONS on Communications
Vol.E92B
No.6
pp.21312141 Publication Date: 2009/06/01
Online ISSN: 17451345
DOI: 10.1587/transcom.E92.B.2131
Print ISSN: 09168516 Type of Manuscript: PAPER Category: Wireless Communication Technologies Keyword: MUSIC, DSCDMA, signal detection, channel estimation,
Full Text: PDF>>
Summary:
We propose a dimension reduction algorithm for the receiver of the downlink of directsequence codedivision multiple access (DSCDMA) systems in which both the transmitters and the receivers employ antenna arrays of multiple elements. To estimate the high order channel parameters, we develop a layered architecture using dimensionreduced parameter estimation algorithms to estimate the frequencyselective multipath channels. In the proposed architecture, to exploit the spacetime geometric characteristics of multipath channels, spatial beamformers and constrained (or unconstrained) temporal filters are adopted for clusteredmultipath grouping and path isolation. In conjunction with the multiple access interference (MAI) suppression techniques, the proposed architecture jointly estimates the direction of arrivals, propagation delays, and fading amplitudes of the downlink fading multipaths. With the outputs of the proposed architecture, the signals of interest can then be naturally detected by using pathwise maximum ratio combining. Compared to the traditional techniques, such as the JointAngleandDelayEstimation (JADE) algorithm for DOAdelay joint estimation and the spacetime minimum mean square error (STMMSE) algorithm for signal detection, computer simulations show that the proposed algorithm substantially mitigate the computational complexity at the expense of only slight performance degradation.

