Blind channel identification and equalization in dense wireless sensor networks with distributed transmissions

X. Li
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing  
In densely deployed wireless sensor networks, signals of adjacent sensors can be highly cross-correlated. This property is utilized for blind channel identification and equalization. Blind equalization can be performed with linear complexity and with robustness to ill channel conditions. Transmissions are more power and bandwidth efficient, which is especially important for wideband sensor networks. The cross-correlation property and the finite sample effect are analyzed. Simulations demonstrate the superior performance of the proposed method.
doi:10.1109/icassp.2004.1326189 dblp:conf/icassp/Li04b fatcat:ugz44k64fbglvhs2lkg2ttvzby