TY - JOUR
T1 - Joint Design of Transmit Weight Sequence and Receive Filter for Improved Target Information Acquisition in High-Resolution Radar
AU - Zhang, Jiawei
AU - Xu, Huaping
AU - Liu, Wei
AU - Li, Chunsheng
AU - Chen, Yifan
N1 - Publisher Copyright:
© 1980-2012 IEEE.
PY - 2021/7
Y1 - 2021/7
N2 - A joint design of the transmit weight sequence and receive filter is proposed to improve target information acquisition in high-resolution radar. First, using the criterion for target information acquisition maximization, the design is cast as a nonconvex fractional quadratically constrained quadratic problem (QCQP). Then, by employing a bivariate auxiliary function introduced in Dinkelbach's algorithm to decouple the fractional objective function, an algorithm with polynomial computational complexity is developed to solve the QCQP using a cyclic maximization procedure alternating between two semidefinite relaxation (SDR) problems. Through exploiting a suitable rank-one decomposition, it is verified that the optimal solution obtained from the alternative iterative process is also optimal to the original QCQP. Finally, numerical examples are presented to demonstrate the performance of the proposed design.
AB - A joint design of the transmit weight sequence and receive filter is proposed to improve target information acquisition in high-resolution radar. First, using the criterion for target information acquisition maximization, the design is cast as a nonconvex fractional quadratically constrained quadratic problem (QCQP). Then, by employing a bivariate auxiliary function introduced in Dinkelbach's algorithm to decouple the fractional objective function, an algorithm with polynomial computational complexity is developed to solve the QCQP using a cyclic maximization procedure alternating between two semidefinite relaxation (SDR) problems. Through exploiting a suitable rank-one decomposition, it is verified that the optimal solution obtained from the alternative iterative process is also optimal to the original QCQP. Finally, numerical examples are presented to demonstrate the performance of the proposed design.
KW - Constrained optimization
KW - high-resolution radar
KW - information acquisition
KW - receive filter
KW - transmit weight
UR - http://www.scopus.com/inward/record.url?scp=85112642892&partnerID=8YFLogxK
U2 - 10.1109/TGRS.2021.3097115
DO - 10.1109/TGRS.2021.3097115
M3 - Journal article
AN - SCOPUS:85112642892
SN - 0196-2892
VL - 60
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
ER -