Blind identification of FIR channels in the presence of unknown noise
EURASIP Journal on Applied Signal Processing
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Performance analysis for sparse support recovery
IEEE Transactions on Information Theory
Hi-index | 35.74 |
We present maximum likelihood (ML) methods for space-time fading channel estimation with an antenna array in spatially correlated noise having unknown covariance; the results are applied to symbol detection. The received signal is modeled as a linear combination of multipath-delayed and Doppler-shifted copies of the transmitted waveform. We consider structured and unstructured array response models and derive the Cramer-Rao bound (CRB) for the unknown directions of arrival, time delays, and Doppler shifts. We also develop methods for spatial and temporal interference suppression. Finally, we propose coherent matched-filter and concentrated-likelihood receivers that account for the spatial noise covariance and analyze their performance