Taylor-series technique for moving source localization in the presence of sensor location errors

Abstract

Uncertainty in sensor(receiver) locations can seriously de-general case that both the source and the sensors are moving is teriorate the source localization accuracy. A localization algorithm needs considered. The proposed method jointly estimates both the position to take the sensor location errors into account in order to improve and velocity of the source, as well as the positions and velocities of source location estimate. This paper considers the localization for the position and velocity of a moving source using the time differences the sensors simultaneously. The estimates of the sensors' positions of arrival (TDOAs) and frequency differences of arrival (FDOAs) of a and velocities can help to provide a more accurate estimate of the signal received at a number of sensors that have random location errors. source position and velocity. The simulation results show that with a The proposed method is based on the Taylor-series method that jointly good initial guess to the true solution, the proposed method achieves estimates both the source and sensor locations simultaneously. Simulation results show that with a reasonable initial guess close to the true solution to begin with, the proposed method converges to the true solution and as well as the sensors. achieves the CRLB accuracy for both near-field and far-field sources.The paper is organized as follows. Section 2 provides the location scenario and introduces the symbols used. The proposed solution in