Weighted signal-subspace direction-finding of ultra-wideband sources

Weighted signal-subspace direction-finding is herein proposed for ultra-wideband (UWB) sources. That is, different frequencies' signal subspaces are respectively focused, weighted using the UWB signal's power spectral density, and then combined into a coherent signal subspace. Furthermore, the optimal focusing matrices are derived to minimize both the focusing error and the direction-of-arrival (DOA) estimation bias. Simulations verify the algorithm's efficiency for multipath channels.