Abstract
This paper deals with the case where the Crarnér-Rao bound (CRB) on the estimation error of a deterministic parameter vector is given, and it is desired to evaluate a bound on a linear transformation of it. The literature suggests two versions of the bound on the estimation error of the reparameterized vector, denoted by B_1 and B_2. We first identify the conditions under which either of these bounds exist, focusing on the case where they co-exist, Under such scenario, we find the relations between B_1, B_2, and CRB. The results are demonstrated on two practical applications of multi-sensor signal processing.
Original language | English |
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Title of host publication | 2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 426-430 |
Number of pages | 5 |
ISBN (Electronic) | 9798350344523 |
DOIs | |
State | Published - 2023 |
Externally published | Yes |
Event | 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2023 - Herradura, Costa Rica Duration: 10 Dec 2023 → 13 Dec 2023 |
Publication series
Name | 2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2023 |
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Conference
Conference | 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2023 |
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Country/Territory | Costa Rica |
City | Herradura |
Period | 10/12/23 → 13/12/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Cramér-Rao bound
- linear transfor-mation
- reparameterization