Computationally efficient IV-based bias reduction for closed-form TDOA localization
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2018
Authors
Nguyen, N.H.
Dogancay, K.
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Conference paper
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Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference), 2018, vol.2018-April, iss.article no. 18096950, pp.3226-3230
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2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (15 Apr 2018 - 20 Apr 2018 : Calgary, Canada)
Abstract
This paper develops a new computationally efficient bias reduction method for the well-known algebraic closed-form solution for time difference-of-arrival (TDOA) localization developed by Chan and Ho. The noise correlation between the regressor and regressand in the formulation of the linearized least-squares computation is the main cause of bias problems associated with this TDOA localization method. The bias reduction method proposed in this paper, which we call IV-BiasRed, exploits the use of instrumental variables (IV)to eliminate the troublesome noise correlation between the regressor and regressand. The IV-BiasRed method is demonstrated by way of simulations to achieve a significant bias reduction and mean-squared error performance close to the Cram´er-Rao lower bound. While producing an estimation performance on par with the maximum likelihood estimator and a recently proposed bias reduction method, the proposed IV-BiasRed method is computationally much more efficient than existing bias reduction methods.
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Copyright 2018 IEEE