A dual-deconvolution algorithm for radar and communication black-space spectrum sharing

We introduce a dual-deconvolution algorithm for the purpose of black-space spectrum sharing. We consider the case of spectrum sharing between radio-frequency (RF) devices whose data source/scatterers are modeled as a convolution with a pulse-shaping filter. This model encompasses both single-carrier communications as well as pulse-Doppler radars. Preliminary results including the mean-square error (MSE) for the radar system and bit error rate (BER) are provided for a scenario of communications and radar spectrum sharing. These results demonstrate significant improvement in uncoordinated spectrum sharing of radar and wireless communication signals overlapping in time and frequency. The algorithm is implemented using the fast Fourier transform and an iterative procedure that requires no matrix inverse computations. The algorithm also generalizes straightforwardly to multiple-deconvolution scenarios.