NDLI: Parameter estimation and suppression for DRFM-based interrupted sampling repeater jammer

Content Provider	IET Digital Library
Author	Zhou, Chao Liu, Quanhua Chen, Xinliang
Abstract	By partial interception and multiple forwarding of a radar transmitting signal, digital radio frequency memory-based interrupted sampling repeater jamming can yield a partial processing gain and form multiple false target groups in the range direction, achieving jamming effects of both suppression and deception. Various improved jamming strategies have been proposed, while jamming suppression problems have not been fully addressed. In this study, a jamming suppression method based on the idea of ‘reconstruction and cancellation’ is proposed by analysing the jamming principle. The method firstly analyses the pulse compression results with time-frequency analysis to obtain the intercepted slice number and forwarding times; then, the slice width is estimated by deconvolution processing; finally, iterative cancellation is used to suppress the jamming. Performance of the method was verified by Monte Carlo simulation. The results show that the normalised error of the slice width estimation is <5% when the jamming-to-noise ratio reaches 15 dB (after pulse compress); the cancellation method can effectively restrain the jamming by bringing an improvement of signal-to-jamming ratio >16 dB.
Starting Page	56
Ending Page	63
Page Count	8
ISSN	17518784
Volume Number	12
e-ISSN	17518792
Issue Number	Issue 1, Jan (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/12/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2017.0114
Journal	IET Radar, Sonar & Navigation
Publisher Date	2017-09-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Deconvolution Deconvolution Processing Digital Radio Frequency Memory-based Interrupted Sampling Repeater Jamming DRFM-based Interrupted Sampling Repeater Jammer Electromagnetic Compatibility Interference Interference Suppression Interpolation And Function Approximation Iterative Cancellation Iterative Method Jamming Jamming Principle Analysis Jamming Suppression Method Jamming-to-noise Ratio Monte Carlo Method Monte Carlo Simulation Multiple False Target Groups Multiple Forwarding Numerical Analysis Parameter Estimation Partial Interception Partial Processing Gain Radar Equipment Radar Signal Processing Radar Transmitting Signal Reconstruction-and-cancellation Signal Processing And Detection Signal Sampling Signal-to-jamming Ratio System And Application Time-frequency Analysis
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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