Algorithm of multiple emitters tracking based on TDOA measurements and clustering technique

Abstract

The computational complexity of multi-dimension assignment algorithm, which can be used to solve multi-sensor multi-target location and tracking problem based on time difference of arrival (TDOA) measurements, will increase exponentially with the scale of assignment problem. By the fact that multiple emitters usually exist separately in the surveillance space, the clustering technique is used to partition the global multiple dimension assignment problem into some local sub problem for reducing the computational complexity. Its efficiency has been confirmed by computer simulations.