Zhenhua Liu , Wei Liang , Ning Fu , Liyan Qiao , Jun Zhang
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引用次数: 0
Abstract
The main lobe interrupted sampling repeater jamming (ISRJ), being coherent with the transmitted signal, is capable of generating both deception and suppression jamming effects. These effects severely limit the capabilities of monopulse radar to detect, track, and identify targets. Furthermore, since the jammer is located within the main lobe of the radar's transmit beam, spatial filtering techniques will cause a serious loss of target energy. This study focuses on the research on main lobe ISRJ suppression for monopulse radar. An anti-jamming scheme based on jamming parameter estimation and channel cancellation is proposed. Firstly, time-frequency (TF) analysis is performed on the received echo to estimate the ISRJ parameters using the distribution characteristics of TF energy. Subsequently, the time unit where only ISRJ signal exists is determined. A function, referred to as the sum-difference channel ratio, is constructed, and its value in the time unit where only ISRJ exists serves as the cancellation coefficient. By applying sum-difference channel cancellation, the jamming in radar's received echo is suppressed while retaining the real target simultaneously. Through numerical simulations, we have validated the effectiveness of the proposed method and conducted a thorough analysis of how different parameters affect its performance. Compared to state-of-the-art methods, the average improvement in the signal-to-jamming-plus-noise ratio improvement factor achieved by our method is approximately 6.4 dB higher.
期刊介绍:
Digital Signal Processing: A Review Journal is one of the oldest and most established journals in the field of signal processing yet it aims to be the most innovative. The Journal invites top quality research articles at the frontiers of research in all aspects of signal processing. Our objective is to provide a platform for the publication of ground-breaking research in signal processing with both academic and industrial appeal.
The journal has a special emphasis on statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging applications of signal processing such as:
• big data• machine learning• internet of things• information security• systems biology and computational biology,• financial time series analysis,• autonomous vehicles,• quantum computing,• neuromorphic engineering,• human-computer interaction and intelligent user interfaces,• environmental signal processing,• geophysical signal processing including seismic signal processing,• chemioinformatics and bioinformatics,• audio, visual and performance arts,• disaster management and prevention,• renewable energy,