Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This letter proposes an improved version of the popular two-stage ighted least squares (TSWLS) algorithm for source localization using time difference of arrival (TDOA) measurements in the presence of sensor position errors. The new technique remains to be closed-form and approximately efficient as TSWLS. But it exhibits lor estimation bias and better robustness to increased noise over TSWLS via using a new Stage-2 processing, where the localization error of its Stage-1 is estimated and subtracted from the Stage-1 output to generate the final source position estimate. Simulations corroborate the theoretical developments.
['Yang Liu', 'Fucheng Guo', 'Le Yang', 'Wenli Jiang']
I am writing a research paper on a idea An Improved Algebraic Solution for TDOA Localization With Sensor Position Errors
[{"from": "human", "value": "I am writing a research paper on a idea An Improved Algebraic Solution for TDOA Localization With Sensor Position Errors"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This letter proposes an improved version of the popular two-stage ighted least squares (TSWLS) algorithm for source localization using time difference of arrival (TDOA) measurements in the presence of sensor position errors. The new technique remains to be closed-form and approximately efficient as TSWLS. But it exhibits lor estimation bias and better robustness to increased noise over TSWLS via using a new Stage-2 processing, where the localization error of its Stage-1 is estimated and subtracted from the Stage-1 output to generate the final source position estimate. Simulations corroborate the theoretical developments."}]