A joint maximum likelihood algorithm for simultaneous track correlation and sensorbias estimation

Abstract

Equivalent point estimation for small target groups tracking based on maximum group likelihood estimation SCIENCE CHINA Information Sciences 63, 189302 (2020); Approximating maximum likelihood performance reduced dimension VBLAST detection algorithm SCIENCE CHINA Information Sciences 53, 1439 (2010);. RESEARCH PAPER. SCIENCE CHINA Information Sciences

Joint registration and multi‐target tracking based on labelled random finite set and expectation maximisation

“…However, the result of the association would become rather bad due to the effect of sensor biases, and the estimation performance would then be deteriorated. In [8–11], several approaches were developed to simultaneously carry the association, registration, and state estimation. However, these methods address this joint problem with a certain target number and perfect measurements.…”