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| Content Provider | IET Digital Library |
|---|---|
| Author | Han, Sudan Maio, Antonio De Pallotta, Luca Carotenuto, Vincenzo Iommelli, Salvatore Huang, Xiaotao |
| Abstract | This study considers censoring outliers in a radar scenario with limited sample support. The problem is formulated as obtaining the regularised maximum likelihood (RML) estimate of the outlier index set. Since the RML estimate involves solving a combinatorial optimisation problem, a reduced complexity but approximate RML (ARML) procedure is also devised. As to the selection of the regularisation parameter, the cross-validation technique is exploited. At the analysis stage, the performance of the RML/ARML procedure is evaluated based both on simulated and challenging knowledge-aided sensor signal processing and expert reasoning data, also in comparison with some other outlier excision methods available in the open literature. The numerical results highlight that the RML/ARML algorithm achieves a satisfactory performance level in the presence of limited as well as sufficient sample supports whereas the other counterparts often experience a certain performance degradation for the insufficient training volume. |
| Starting Page | 8061 |
| Ending Page | 8065 |
| Page Count | 5 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 21, Nov (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/21 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0717 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-08-13 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | Approximate Regularised Maximum-likelihood Estimation Approach Approximate RML Estimation Procedure Approximation Theory ARML Procedure Censoring Outlier Index Set Combinatorial Mathematics Combinatorial Optimisation Problem Communication Complexity Cross-validation Technique Expert Reasoning Data Interpolation And Function Approximation Knowledge-aided Sensor Signal Processing Maximum Likelihood Estimation Numerical Analysis Optimisation Optimisation Technique Outlier Excision Method Radar Equipment Radar Receiver Radar Scenario Radar Signal Processing Reduced Complexity Satisfactory Performance Level Signal Processing And Detection Statistics System And Application |
| Content Type | Text |
| Resource Type | Article |
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