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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liu, Tianpeng Wei, Xizhang Li, Lei |
| Copyright Year | 2014 |
| Description | Author affiliation: School of Electronic Science and Engineering, National University of Defense Technology, Changsha China (Liu, Tianpeng; Wei, Xizhang) || Chinese Academy of Sciences (CAS), Beijing, China (Li, Lei) |
| Abstract | Due to the additional degrees of freedom, multiple-element cross-eye jamming (MCJ) can reduce the tolerance sensitivity and increase the effective sector angle. Considering MCJ ignores the retrodirective implementation, we investigate multiple-element retrodirective cross-eye jamming (MRCJ) against the amplitude-comparison monopulse radar in this paper. The monopulse ratio for MRCJ is derived under a classical jamming scenario, and two kinds of the indicated angle are presented by assuming a linear relationship between the monopulse ratio and the indicated angle. Linear-fit analysis is performed to define the cross-eye gain of MRCJ by introducing the linear approximations into the sum- and the difference-channel patterns. Simulation results demonstrate that most of the conclusions of two-element retrodirective cross-eye jamming (TRCJ) can also be drawn by MRCJ. Moreover, excellent performances of MRCJ in aspect of the tolerance requirements are illustrated. |
| Starting Page | 2135 |
| Ending Page | 2140 |
| File Size | 843241 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479921881 |
| ISSN | 21645221 |
| e-ISBN | 9781479921867 |
| DOI | 10.1109/ICOSP.2014.7015372 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-10-19 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Jamming Radar Radar antennas Arrays Linear approximation Mathematical analysis Van Atta array Electronic warfare (EW) cross-eye jamming amplitude-comparison monopulse radar |
| Content Type | Text |
| Resource Type | Article |
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