TY - GEN
T1 - Optimum reference signal reconstruction for DVB-T based passive radars
AU - Mahfoudia, Osama
AU - Horlin, Francois
AU - Neyt, Xavier
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/7
Y1 - 2017/6/7
N2 - The present work investigates the optimum reconstruction of the reference signal for passive coherent location (PCL) radars exploiting Digital Video Broadcasting-Terrestrial (DVB-T) signals. Reference signal reconstruction is widely used to improve the signal-to-noise ratio (SNR) in the reference signal for DVB-T based PCL radars. Reference signal reconstruction is limited since for low SNR values, the signal demodulation is not sufficiently accurate which leads to a mismatch between the reconstructed signal and the transmitted one. In this work, we propose an optimum reconstruction strategy that includes an optimum estimation of the detected quadrature amplitude modulation (QAM) symbols, specific for radar applications. To verify the proposed detection strategy, we calculated analytic models for the optimum filter and the detection statistics. The analytic models are validated through Monte-Carlo simulations. The results show that the proposed method outperforms the conventional reference signal reconstruction scheme in terms of detection probability.
AB - The present work investigates the optimum reconstruction of the reference signal for passive coherent location (PCL) radars exploiting Digital Video Broadcasting-Terrestrial (DVB-T) signals. Reference signal reconstruction is widely used to improve the signal-to-noise ratio (SNR) in the reference signal for DVB-T based PCL radars. Reference signal reconstruction is limited since for low SNR values, the signal demodulation is not sufficiently accurate which leads to a mismatch between the reconstructed signal and the transmitted one. In this work, we propose an optimum reconstruction strategy that includes an optimum estimation of the detected quadrature amplitude modulation (QAM) symbols, specific for radar applications. To verify the proposed detection strategy, we calculated analytic models for the optimum filter and the detection statistics. The analytic models are validated through Monte-Carlo simulations. The results show that the proposed method outperforms the conventional reference signal reconstruction scheme in terms of detection probability.
UR - http://www.scopus.com/inward/record.url?scp=85021419229&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2017.7944411
DO - 10.1109/RADAR.2017.7944411
M3 - Conference contribution
AN - SCOPUS:85021419229
T3 - 2017 IEEE Radar Conference, RadarConf 2017
SP - 1327
EP - 1331
BT - 2017 IEEE Radar Conference, RadarConf 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Radar Conference, RadarConf 2017
Y2 - 8 May 2017 through 12 May 2017
ER -