WANG Zicheng, MA Yongxing, WANG Yanfeng, SUN Junwei. Design of Locally Active Memristor Coupled Heterogeneous Neurons and Its Application to DNA Encoded Image Encryption[J]. Journal of Electronics & Information Technology, 2023, 45(9): 3359-3369. doi: 10.11999/JEIT221493
Citation:
He Jin, Luo Ying, Zhang Qun, Yang Xiao-You. Waveform Design and Imaging Algorithm Research of Random Frequency Stepped Chirp Signal ISAR[J]. Journal of Electronics & Information Technology, 2011, 33(9): 2068-2075. doi: 10.3724/SP.J.1146.2011.00033
WANG Zicheng, MA Yongxing, WANG Yanfeng, SUN Junwei. Design of Locally Active Memristor Coupled Heterogeneous Neurons and Its Application to DNA Encoded Image Encryption[J]. Journal of Electronics & Information Technology, 2023, 45(9): 3359-3369. doi: 10.11999/JEIT221493
Citation:
He Jin, Luo Ying, Zhang Qun, Yang Xiao-You. Waveform Design and Imaging Algorithm Research of Random Frequency Stepped Chirp Signal ISAR[J]. Journal of Electronics & Information Technology, 2011, 33(9): 2068-2075. doi: 10.3724/SP.J.1146.2011.00033
Frequency-stepped chirp signal is an effective radar signal which can utilize the digital signal processing to obtain high range resolution with relatively narrow instantaneous bandwidth. Because the anti-jamming ability of frequency-stepped chirp signal radar is not enough, the random frequency-stepped chirp signal is designed, and a random frequency-stepped chirp signal ISAR imaging algorithm based on compress sensing theory is proposed. The range profile and high resolution 2-D ISAR image can be obtained with fewer subpulses. Then, the target velocitys influence on frequency-stepped chirp signal radar imaging is analyzed, the random frequency-stepped chirp signal which contains velocity measuring subpulses is designed, and the velocity estimate and compensation method which is combined with time-frequency analysis, Radon transform and binary mathematical morphology is proposed. The simulation verifies the capability of random frequency-stepped chirp signal ISAR and effectiveness of the imaging algorithm proposed in this paper.
WANG Zicheng, MA Yongxing, WANG Yanfeng, SUN Junwei. Design of Locally Active Memristor Coupled Heterogeneous Neurons and Its Application to DNA Encoded Image Encryption[J]. Journal of Electronics & Information Technology, 2023, 45(9): 3359-3369. doi: 10.11999/JEIT221493
WANG Zicheng, MA Yongxing, WANG Yanfeng, SUN Junwei. Design of Locally Active Memristor Coupled Heterogeneous Neurons and Its Application to DNA Encoded Image Encryption[J]. Journal of Electronics & Information Technology, 2023, 45(9): 3359-3369. doi: 10.11999/JEIT221493