TY - GEN
T1 - Optimization of multistatic cloud radar with multiple-access wireless backhaul
AU - Jeong, Seongah
AU - Simeone, Osvaldo
AU - Haimovich, Alexander
AU - Kang, Joonhyuk
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/6/22
Y1 - 2015/6/22
N2 - A multistatic cloud radar system is investigated, where receive antennas (RAs), or sensors, communicate with a fusion center (FC) over a multiple-access wireless backhaul. Each RA receives a measurement of the signal sent by a transmit antenna (TA) and reflected from target, possibly in the presence of clutter and interference, amplifies it, and forwards it to the FC on a wireless fading channel. The FC receives the signals transmitted by the RAs and determines the presence of a target. The problem of maximizing the Bhattacharyya distance as the detection performance metric under power constraints for the TA and RAs is formulated with respect to the transmitted code vector and the gains applied at the RAs. A short-term adaptive design is first considered that leverages the instant gain of the RAs-to-FC channels, and then a long-term adaptive design is considered that uses only stochastic channel state information (CSI). Algorithmic solutions for both scenarios are proposed based on successive convex approximation, and the performance is evaluated via numerical results.
AB - A multistatic cloud radar system is investigated, where receive antennas (RAs), or sensors, communicate with a fusion center (FC) over a multiple-access wireless backhaul. Each RA receives a measurement of the signal sent by a transmit antenna (TA) and reflected from target, possibly in the presence of clutter and interference, amplifies it, and forwards it to the FC on a wireless fading channel. The FC receives the signals transmitted by the RAs and determines the presence of a target. The problem of maximizing the Bhattacharyya distance as the detection performance metric under power constraints for the TA and RAs is formulated with respect to the transmitted code vector and the gains applied at the RAs. A short-term adaptive design is first considered that leverages the instant gain of the RAs-to-FC channels, and then a long-term adaptive design is considered that uses only stochastic channel state information (CSI). Algorithmic solutions for both scenarios are proposed based on successive convex approximation, and the performance is evaluated via numerical results.
KW - Multistatic radar
KW - cloud radar
KW - code design
KW - detection
KW - power allocation
UR - http://www.scopus.com/inward/record.url?scp=84937890590&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2015.7131263
DO - 10.1109/RADAR.2015.7131263
M3 - Conference contribution
AN - SCOPUS:84937890590
T3 - IEEE National Radar Conference - Proceedings
SP - 1650
EP - 1655
BT - 2015 IEEE International Radar Conference, RadarCon 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE International Radar Conference, RadarCon 2015
Y2 - 10 May 2015 through 15 May 2015
ER -