PROJECT TITLE :
The main motivation for this work is the way to handle the circumvent problem encountered in decorrelating perfect coherent multipath signals over MIMO-CDMA channel with small number of sensors and few information snapshots. The authors propose a brand new iterative area??time lifting preprocessing (ISTLP) decorrelating scheme that guarantees a excellent decorrelating of a nice range of impinging signals even after they are absolutely correlated and overlaying in house and time domains. It is primarily based on exploiting iteratively the spatial and temporal redundancies arising from multiple antennas and multiple slots. The temporal lifting theme is introduced 1st, for efficient tracking and cancelling of ISI, MAI and noise effects within the bank of the N-tapped-delay-lines related to the user of interest. Secondly, this iterative multi-resolution approach can be coupled to a preprocessing scheme to allow easy transformation of resulting temporal-lifted covariance matrix from time domain to identical Vandermonde structure in frequency domain to be exploited in spatial lifting step. Two detection criteria are so established to attempt the convergence state in ISTLP algorithm. Finally, a JADE??Capon technique based on ST-MVDR beamformer is applied to the spatial??temporal-lifted preprocessed covariance matrix to compute the joint azimuth-direction-of-arrival and delay of desired Ki multipath signals. The efficacy and high resolution capability of the proposed estimation approach is supported by numerical simulation results.
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