Affiliation:
1. School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Abstract
Waveform design for integrated radar and jamming is generally based on the concept of shared waveform, which uses jamming signals without typical radar signal characteristics for detection. Existing waveforms have shown limited design flexibility, high levels of sidelobe in detection results, and overall ordinary performance. We propose an integrated radar and jamming waveform based on smart modulation and complementary coding. Unlike traditional integrated radar and jamming waveform based on smart modulation, the phase angle of the binary phase-coded sequence is adjustable in this smart modulation method, allowing for a controllable jamming effect, achieving true smart modulation. However, this smart modulation waveform also suffers from high sidelobes in detection. To address this issue, we take a complementary coding approach and design a smart modulation waveform with complementary characteristics. This waveform can synthesize a complete linear frequency modulation (LFM) signal by adding two pulses together, thereby reducing the sidelobes in the smart modulation waveform and enhancing its detection performance. Theoretical analysis indicates that the detection and jamming effects of this integrated waveform can be flexibly controlled by adjusting the phase angles of the coding sequences. Simulation analysis and experimental results confirm the significant advantages of this waveform.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
China Postdoctoral Science Foundation
Jiangsu Province Postdoctoral Science Foundation
Reference33 articles.
1. Radar jamming decision-making in cognitive electronic warfare: A review;Zhang;IEEE Sens. J.,2023
2. Liu, G., Huang, Z., Zhang, Q., Mu, B., and Guo, H. (2024). Joint Radar Jamming and Communication System Design Based on Universal Filtered Multicarrier Chirp Waveform. Remote Sens., 16.
3. Wang, Y., Cao, Y., Yeo, T.S., Cheng, Y., and Fu, J. (2023). Robust Multiplexing Waveform Design for Integrated OFDM Radar and Communication via Complex Weight Optimization. Remote Sens., 15.
4. Detection of False Targets in a Full Polarization Radar Network under Deception Jamming;Zhang;IEEE Sens. J.,2023
5. Conception of “signal sharing” in integrated radar and jammer system and the integrated signal design;Xu;Proceedings of the IEEE 2002 International Conference on Communications, Circuits and Systems and West Sino Expositions,2002