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- W2903023797 abstract "In our previous work [17], we derived a novel Bayesian weighted instrumental variable (WIV) estimator for the three-dimensional bearings-only target motion analysis problem. While the proposed approach has the desirable characteristic of incorporating a priori information in the estimation process and is proven to be approximately asymptotically unbiased, this estimator has a batch structure which is generally not suitable for online processing of measurements in practical applications. Therefore, in this paper we develop a recursive Bayesian WIV, which also uses an adaptive selective angle measurement approach to increase its stability. Simulations show that the proposed estimator outperforms the compared Bayesian algorithms with similar computational complexity for poorly observable scenarios." @default.
- W2903023797 created "2018-12-11" @default.
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- W2903023797 date "2018-09-01" @default.
- W2903023797 modified "2023-09-23" @default.
- W2903023797 title "A Novel Recursive Bayesian Weighted Instrumental Variable Estimator for 3D Bearings-Only TMA" @default.
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- W2903023797 doi "https://doi.org/10.23919/eusipco.2018.8553392" @default.
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