Sequential source localisation and range estimation based on shrinkage algorithm
- Authors
- Park, Chee-Hyun; Chang, Joon Hyuk
- Issue Date
- Apr-2018
- Publisher
- INST ENGINEERING TECHNOLOGY-IET
- Keywords
- maximum likelihood estimation; time-of-arrival estimation; shrinkage-based sequential source localisation and range estimation algorithm; shrinkage factor; Cramer-Rao lower bound estimation; ML estimation; maximum likelihood estimation; CRLB estimation; Ledoit-Wolf method; Stein unbiased risk estimator
- Citation
- IET SIGNAL PROCESSING, v.12, no.2, pp.182 - 187
- Indexed
- SCIE
SCOPUS
- Journal Title
- IET SIGNAL PROCESSING
- Volume
- 12
- Number
- 2
- Start Page
- 182
- End Page
- 187
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/17672
- DOI
- 10.1049/iet-spr.2016.0706
- ISSN
- 1751-9675
- Abstract
- This study presents the shrinkage-based sequential source localisation and range estimation algorithms. The shrinkage factor is found using the variance of the estimate in the existing shrinkage algorithm. However, the variance of the estimate is difficult to calculate when the form of the estimate is complex. To circumvent this problem, the authors propose a shrinkage algorithm that employs the Cramer-Rao lower bound (CRLB) instead of the variance for the maximum likelihood (ML) estimate. The variance of the ML estimate and CRLB were found to be similar in simulation results. Furthermore, Stein's unbiased risk estimator and Ledoit-Wolf methods are used to determine the shrinkage factor. The resulting estimation accuracy of the proposed shrinkage-based sequential source localisation and range estimation methods was similar with that of the existing shrinkage algorithm.
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