NDLI: Discrimination of active false targets in multistatic radar using spatial scattering properties

Content Provider	IET Digital Library
Author	Zhao, Shanshan Zhang, Linrang Zhou, Yu Liu, Nan Liu, Jieyi
Abstract	The anti-jamming methods available in multistatic radar are mostly based on data fusion processing and therefore do not fully explore its anti-jamming ability. In the view of multistatic radar, the echoes of real targets received by the widely separated receivers would be independent from each other due to the independence of target radar cross sections in different scattering directions. However, the deception jamming received by the same receivers would be highly correlated since the jamming signals transmitted to different directions are identical. Therefore, real targets would differ from false targets in the spatial scattering property in multistatic radar. By exploiting this phenomenon, a new signal fusion-based method for discriminating active false targets from desired real targets is proposed in this study based on Neyman–Pearson lemma. In this method, false targets are identified by correlation test between the complex envelopes of arbitrary two targets in different receivers. The new method can discriminate false targets generated by deception signals with arbitrary modulation. The closed-form expression for the rejection probability of false targets is derived. Both theoretical analysis and simulations verify the feasibility of the proposed method.
Starting Page	817
Ending Page	826
Page Count	10
ISSN	17518784
Volume Number	10
e-ISSN	17518792
Issue Number	Issue 5, Jun (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/10/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2014.0147
Journal	IET Radar, Sonar & Navigation
Publisher Date	2016-06-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Active False Target Discrimination Anti Jamming Method Closed-form Expression Complex Envelopes Correlation Method Correlation Test Data Fusion Processing Electromagnetic Compatibility Electromagnetic Wave Propagation Electromagnetic Wave Scattering False Target Identification Interference Jamming Jamming Signal Multistatic Radar Neyman-Pearson Lemma Probability Radar Equipment Radar Signal Processing Rejection Probability Sensor Fusion Signal Fusion-based Method Signal Processing And Detection Spatial Scattering Property Statistics System And Application Target Radar Cross Sections
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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