TY - GEN
T1 - A dual-deconvolution algorithm for radar and communication black-space spectrum sharing
AU - Farshchian, Masoud
AU - Selesnick, Ivan
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/15
Y1 - 2016/11/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85002522370&partnerID=8YFLogxK
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U2 - 10.1109/CoSeRa.2016.7745688
DO - 10.1109/CoSeRa.2016.7745688
M3 - Conference contribution
AN - SCOPUS:85002522370
T3 - 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016
SP - 6
EP - 10
BT - 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016
Y2 - 19 September 2016 through 23 September 2016
ER -