Abstract
Consider a tetrahedral sensor array consisting of isotropic sensors that are nominally identical. In the real world, this nominal identity is not perfectly achievable. What if these sensors were each to suffer an uncertainty in its complex-value gain, which is modeled here stochastically as complex-value Gaussian random variables? What then would happen to the entire tetrahedral array's overall polar-azimuth direction-finding accuracy? This problem is quantified here via the hybrid Cramér-Rao bound (HCRB) of the tetrahedral sensor's polar-azimuth direction-of-arrival estimates. This hybrid Cramér-Rao bound is found analytically to be same as the Cramér-Rao bound (if the complex-gain uncertainty does not exist) except by a multiplicative factor that equals one plus the variance of the complex-gain uncertainty.
Original language | English |
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Title of host publication | Proceedings of the 2016 IEEE National Aerospace and Electronics Conference-Ohio Innovation Summit, NAECON-OIS 2016 |
Publisher | IEEE |
Pages | 412-415 |
Number of pages | 4 |
ISBN (Electronic) | 9781509034413 |
DOIs | |
Publication status | Published - 14 Feb 2017 |
Event | 2016 IEEE National Aerospace and Electronics Conference and Ohio Innovation Summit, NAECON-OIS 2016 - Dayton, United States Duration: 26 Jul 2016 → 29 Jul 2016 |
Conference
Conference | 2016 IEEE National Aerospace and Electronics Conference and Ohio Innovation Summit, NAECON-OIS 2016 |
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Country/Territory | United States |
City | Dayton |
Period | 26/07/16 → 29/07/16 |
Keywords
- Acoustic interferometry
- array signal processing
- direction of arrival estimation
- interferometry
- sonar arrays
- underwater acoustic arrays
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Control and Systems Engineering
- Electrical and Electronic Engineering