Paper
3 January 2025 Multidomain united antijamming algorithm for monopulse radar
Naihao Li, Runnan Wang, Yu Tang
Author Affiliations +
Proceedings Volume 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024); 134420W (2025) https://doi.org/10.1117/12.3054153
Event: Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 2024, Kaifeng, China
Abstract
An anti-jamming algorithm is proposed in this paper based on frequency-polarization-time domain to address the challenge of detecting target signal amidst multi-source high-power suppression jamming signals for monopulse radar systems. Initially, a received signal model for monopulse radar under multi-source noise frequency modulation jamming is established, incorporating the target signal, jamming and noise components. Subsequently, by evaluating the peak polarization degree of received signals in the frequency domain within the clutter gate, the operational bands of jamming signals are identified. The polarization state of each jamming source then can be determined. Furthermore, jamming suppression of the corresponding polarization state within the target band is achieved through virtual polarization techniques. Finally, interference beyond the target band is mitigated using a combination of a wideband filter, a limiter and a narrowband filter. Simulation results demonstrate that the proposed algorithm can achieve an approximate Signal-to-Interference-plus-Noise Ratio (SINR) of 6dB through coherent accumulation over 16 coherent processing intervals, even in the presence of 50dB Jamming-to-Signal Ratio (JSR) for each of the five jammers.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Naihao Li, Runnan Wang, and Yu Tang "Multidomain united antijamming algorithm for monopulse radar", Proc. SPIE 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 134420W (3 January 2025); https://doi.org/10.1117/12.3054153
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KEYWORDS
Polarization

Tunable filters

Signal processing

Electronic filtering

Frequency modulation

Interference (communication)

Radar

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