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Content Provider | IET Digital Library |
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Author | Ghoreishian, Mohammad Javad Andargoli, Seyed Mehdi Hosseini Parvari, Fatemeh |
Abstract | In this study, the issue of power allocation in the statistical multiple-input–multiple-output (MIMO) radars is investigated to reduce the probability of interception. In MIMO radars, orthogonal waveforms are commonly used, in which waveforms are orthogonal frequency-diversity or phase-coded (PC) waveforms. Therefore, the low probability of intercept (LPI) optimisation problem is considered for different orthogonal signals separately. In the FD case, the LPI optimisation problem based on analysing signal processing applied to the conventional interceptor is formulated as a min–max problem. In the PC case, the problem is formulated as a sum power minimisation problem with non-convex and non-linear detection performance constraint. Some relaxations and innovations are applied to simplify the problem and to convert it to a convex-linear problem. In addition, by analysing the form of the proposed solution, the proposed algorithm is extended based on adaptive thresholding to improve the LPI performance as much as possible. Here, the original problem is solved by a standard log-barrier algorithm as a benchmark to verify the optimality of the proposed algorithms. Simulation results show that, the proposed algorithms guarantee not only the detection performances, but also the LPI performance is considerably better in comparison with traditional power allocation algorithms. |
Starting Page | 822 |
Ending Page | 832 |
Page Count | 11 |
ISSN | 17518784 |
Volume Number | 14 |
e-ISSN | 17518792 |
Issue Number | Issue 6, Jun (2020) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rsn/14/6 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2020.0037 |
Journal | IET Radar, Sonar & Navigation |
Publisher Date | 2020-02-12 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Analysing Signal Convex Programming Convex-linear Problem Detection Performance Fulfilment Detection Performances Different Orthogonal Signal Frequency Diversity Case Intercept Optimisation Problem LPI Optimisation Problem LPI Performance MIMO Communication MIMO Radar Min-max Problem Minimax Technique Minimisation Modulation And Coding Method Multiple-input–multiple-output Radars Nonconvex Nonlinear Detection Performance Constraint OFDM Modulation Optimisation Optimisation Technique Orthogonal Frequency Diversity Waveform Orthogonal PC Case Orthogonal Phase-coded Orthogonal Waveform Probability Radar Detection Radar Equipment Radar Signal Processing Radio Link And Equipment Signal Processing Signal Processing And Detection Statistics Sum Power Minimisation Problem System And Application Traditional Power Allocation Algorithm |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering |
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