TY - JOUR
T1 - Frequency-Invariant Beampattern Synthesis for Wideband MIMO Radar Under Nulling and PAPR Control
AU - Gong, Pengcheng
AU - Liu, Jianyu
AU - Cheng, Xu
AU - Wu, Yuntao
AU - Liu, Weijian
AU - Liang, Junli
N1 - Publisher Copyright:
© 1967-2012 IEEE.
PY - 2024/6/1
Y1 - 2024/6/1
N2 - This article investigates the problem of frequency-invariant (FI) beamforming of wideband multiple-input multiple-output (MIMO) radars and presents two design criteria to synthesize wideband FI beampatterns under peak-to-average power ratio (PAPR) and nulling constraints. Precisely, the two criteria are to apply the least-squares and absolute errors, respectively, to approximate a desired transmit beampattern. Both criteria result in nonconvex constrained optimization problems. For the former, the solution is derived via reformulating the initial problem into a quadratic form, which can be solved by alternating direction method of multipliers (ADMM). For the latter, the design problem is formulated into an l_1-norm real-valued form, which is solved iteratively by using a nested ADMM (N-ADMM) algorithm. Moreover, both the convergence and computational complexities of these two algorithms are discussed. Numerical simulations show that the obtained beampatterns by the proposed algorithms can well approximate the given beampattern under the required constraints.
AB - This article investigates the problem of frequency-invariant (FI) beamforming of wideband multiple-input multiple-output (MIMO) radars and presents two design criteria to synthesize wideband FI beampatterns under peak-to-average power ratio (PAPR) and nulling constraints. Precisely, the two criteria are to apply the least-squares and absolute errors, respectively, to approximate a desired transmit beampattern. Both criteria result in nonconvex constrained optimization problems. For the former, the solution is derived via reformulating the initial problem into a quadratic form, which can be solved by alternating direction method of multipliers (ADMM). For the latter, the design problem is formulated into an l_1-norm real-valued form, which is solved iteratively by using a nested ADMM (N-ADMM) algorithm. Moreover, both the convergence and computational complexities of these two algorithms are discussed. Numerical simulations show that the obtained beampatterns by the proposed algorithms can well approximate the given beampattern under the required constraints.
KW - ADMM
KW - frequency-invariant beampattern
KW - peak-to-average power ratio (PAPR)
KW - waveform design
KW - Wideband MIMO radar
UR - http://www.scopus.com/inward/record.url?scp=85181567937&partnerID=8YFLogxK
U2 - 10.1109/TVT.2023.3348495
DO - 10.1109/TVT.2023.3348495
M3 - 文章
AN - SCOPUS:85181567937
SN - 0018-9545
VL - 73
SP - 7949
EP - 7961
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 6
ER -