Exploitation of signal structure in array-based blind copy and copy-aided DF systems

A general approach to array-based blind copy and copy-aided DF of structured communication signals is presented that can substantially outperform conventional techniques, by exploiting additional information about the structure of the signals of interest to the reception system. The techniques are derived from optimal parameter estimation concepts that directly incorporate this additional information into the waveform or parameter estimation strategy. The resultant algorithms demonstrate strong theoretical, experimental, and implementation advantages over conventional techniques. Results are demonstrated for blind separation and copy-aided DF of co-channel FM, CPFSK, DSB-AM, and burst waveforms.