Efficient Sub-Regional Multiple-Source Detection Based on Subspace Matrix Filtering

We present an efficient approach for the sub-regional multiple-source detection. The essence of this approach is to extract the characteristic components of the signals of interest (SOIs) from the estimated signal-plus-interference subspace by a matrix filter. Compared with some other spatial filtering-based approaches, it has two significant advantages… CONTINUE READING