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Content Provider | IET Digital Library |
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Author | Chen, Jun Wang, Fei Zhou, Jianjiang Shi, Chenguang |
Abstract | Based on the asymptotic spectral distribution of sample covariance matrix, a new low probability of interception (LPI) signal detection method for multi-antenna intercept receiver is proposed via reforming the noise sequence into a Wishart matrix. The authors deduce the asymptotic cumulative distribution function (CDF) of eigenvalues of sample covariance matrix. Also a numerical Kullback–Leibler divergence of the empirical spectral CDF based on test samples from the deduced asymptotic CDF is established, which is treated as the test statistic. By comparing with other signal detection methods, simulation results show the new LPI signal detection method is superior and robust. |
Starting Page | 7034 |
Ending Page | 7038 |
Page Count | 5 |
Volume Number | 2019 |
e-ISSN | 20513305 |
Issue Number | Issue 20, Oct (2019) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/20 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0589 |
Journal | The Journal of Engineering |
Publisher | The Institution of Engineering and Technology |
Publisher Date | 2019-07-11 |
Access Restriction | Open |
Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
Subject Keyword | Antenna Array Asymptotic Cumulative Distribution Function Asymptotic Spectral Distribution Covariance Matrices Deduced Asymptotic CDF Eigen Values And Eigen Function Empirical Spectral CDF Linear Algebra Low Probability of Intercept Waveform Detection Low Probability of Interception Signal Detection Method LPI Signal Detection Method Multiantenna Intercept Receiver Noise Sequence Numerical Analysis Numerical Kullback–Leibler Divergence Radar Antenna Radar Equipment Radar Receiver Radar Signal Processing Sample Covariance Matrix Signal Detection Statistical Distribution Statistics System And Application Wishart Matrix |
Content Type | Text |
Resource Type | Article |
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