TY - GEN
T1 - Steepest descent method for minimizing the peak sidelobe level of hopped-frequency waveform
AU - Zhao, Dehua
AU - Wei, Yinsheng
AU - Liu, Yongtan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/7
Y1 - 2017/6/7
N2 - Hopped-frequency waveform achieves high range resolution by transmitting a burst of narrowband pulses spanning the desired bandwidth. As its frequencies are irregularly or even sparsely distributed, hopped-frequency waveform could obtain a wider bandwidth with fixed pulses number and shows stronger anti-jamming ability than the linear stepped-frequency waveform; however, an undesired attribute associated is its high range sidelobe which would mask weak echo. In this paper, we optimally design the transmitted frequencies of the hopped-frequency waveform to suppress the peak sidelobe level (PSL). The considered design problem is formulated into a finite minimax optimization and a gradient-based descent method is proposed to solve this problem. This descent method uses the gradients of the largest several sub-functions of the considered minimax problem to fix a descent direction, and computes the step-length under the greedy criterion. Through iterative operation, this method reduces the function value monotonically and thus guarantees the convergence. Numeric results indicate that the proposed method can effectively suppress the PSL of the hopped-frequency waveform.
AB - Hopped-frequency waveform achieves high range resolution by transmitting a burst of narrowband pulses spanning the desired bandwidth. As its frequencies are irregularly or even sparsely distributed, hopped-frequency waveform could obtain a wider bandwidth with fixed pulses number and shows stronger anti-jamming ability than the linear stepped-frequency waveform; however, an undesired attribute associated is its high range sidelobe which would mask weak echo. In this paper, we optimally design the transmitted frequencies of the hopped-frequency waveform to suppress the peak sidelobe level (PSL). The considered design problem is formulated into a finite minimax optimization and a gradient-based descent method is proposed to solve this problem. This descent method uses the gradients of the largest several sub-functions of the considered minimax problem to fix a descent direction, and computes the step-length under the greedy criterion. Through iterative operation, this method reduces the function value monotonically and thus guarantees the convergence. Numeric results indicate that the proposed method can effectively suppress the PSL of the hopped-frequency waveform.
KW - Hopped frequency waveform
KW - Minimax optimization
KW - Sidelobes suppression
KW - Steepest descent method
UR - https://www.scopus.com/pages/publications/85021441221
U2 - 10.1109/RADAR.2017.7944271
DO - 10.1109/RADAR.2017.7944271
M3 - 会议稿件
AN - SCOPUS:85021441221
T3 - 2017 IEEE Radar Conference, RadarConf 2017
SP - 586
EP - 590
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 -