A Novel Closed-Form Estimator for 3D TMA Using Heterogeneous Sensors

作者：Badriasl Laleh^*; Sathyan Thuraiappah; Arulampalam Sanjeev; Finn Anthony

来源：IEEE Transactions on Signal Processing, 2015, 63(8): 1895-1910.

DOI：10.1109/TSP.2015.2394405

• Estimation theory
• parameter estimation
• motion analysis
• statistical analysis

This paper considers the problem of three-dimensional target motion analysis using a combination of bearing, elevation, and time difference of arrival (TDOA) measurements. We propose a hybrid closed-form solution based on the weighted instrumental variables for this highly nonlinear problem. The proposed solution avoids the high computational complexity and convergence problems associated with iterative estimators. Furthermore, the simulation results suggest that the proposed estimator is nearly efficient, since its performance is very close to the best achievable performance as predicted by the Cramer-Rao lower bound.

• 出版日期2015-4-15