BIAS analysis of an algebraic solution for TDOA localization with sensor location errors. Yang, A. L., Guo, B. F., Le Yang, C., Min, D. Z., & Jiang, E. W. In *2015 23rd European Signal Processing Conference (EUSIPCO)*, pages 190-194, Aug, 2015.

Paper doi abstract bibtex

Paper doi abstract bibtex

The nonlinearity inherent in the time difference of arrival (TDOA)-based source localization problem leads to biased source location estimates. The estimation bias of the closed-form TDOA-positioning technique, two-stage least squares(TSWLS) technology was established analytically in previous works. This paper extends the theoretical developments in the case where there exists no sensors location errors to investigate the bias of TDOA-positioning in the presence of sensor location errors. Specifically, the estimation bias of the algebraic two-stage TDOA localization algorithm proposed is derived. Simulations validate the obtained theoretical results. It is shown that different from the findings in previous works where the estimation bias of the two-stage solution mainly comes from its Stage-1 processing, both stages of the localization algorithm considered in this work can introduce significant estimation biases when sensor location errors are present.

@InProceedings{7362371, author = {A. L. Yang and B. F. Guo and C. {Le Yang} and D. Z. Min and E. W. Jiang}, booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)}, title = {BIAS analysis of an algebraic solution for TDOA localization with sensor location errors}, year = {2015}, pages = {190-194}, abstract = {The nonlinearity inherent in the time difference of arrival (TDOA)-based source localization problem leads to biased source location estimates. The estimation bias of the closed-form TDOA-positioning technique, two-stage least squares(TSWLS) technology was established analytically in previous works. This paper extends the theoretical developments in the case where there exists no sensors location errors to investigate the bias of TDOA-positioning in the presence of sensor location errors. Specifically, the estimation bias of the algebraic two-stage TDOA localization algorithm proposed is derived. Simulations validate the obtained theoretical results. It is shown that different from the findings in previous works where the estimation bias of the two-stage solution mainly comes from its Stage-1 processing, both stages of the localization algorithm considered in this work can introduce significant estimation biases when sensor location errors are present.}, keywords = {least squares approximations;time-of-arrival estimation;bias analysis;sensor location errors;time difference of arrival;source localization;two-stage least squares technology;algebraic two-stage TDOA localization algorithm;Phase locked loops;time difference of arrival;bias analysis;source localization;sensor location error}, doi = {10.1109/EUSIPCO.2015.7362371}, issn = {2076-1465}, month = {Aug}, url = {https://www.eurasip.org/proceedings/eusipco/eusipco2015/papers/1570102605.pdf}, }

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