Abstract
This paper investigates the performance of a likelihood ratio test in combination with a polynomial subspace projection approach to detect weak transient signals in broadband array data. Based on previous empirical evidence that a likelihood ratio test is advantageously applied in a lower-dimensional subspace, we present analysis that highlights how the polynomial subspace projection whitens a crucial part of the signals, enabling a detector to operate with a shortened temporal window. This reduction in temporal correlation, together with a spatial compaction of the data, also leads to both computational and numerical advantages over a likelihood ratio test that is directly applied to the array data. The results of our analysis are illustrated by examples and simulations.
Original language | English |
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Pages | 1-7 |
Number of pages | 7 |
Publication status | Accepted/In press - 2024 |
Event | IEEE High Performance Extreme Computing Conference - Waltham, MA, United States Duration: 23 Sept 2024 → 27 Sept 2024 https://ieee-hpec.org/ |
Conference
Conference | IEEE High Performance Extreme Computing Conference |
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Abbreviated title | HPEC'24 |
Country/Territory | United States |
City | Waltham, MA |
Period | 23/09/24 → 27/09/24 |
Internet address |
Keywords
- transient signals
- broadband array