Data Association Approach for Two Dimensional Tracking Based on Bearing-Only Measurements in Clutter Environment

Abstract

This paper mainly studies angle-measurement
based data association algorithm to overcome the existing
problems in the applications of traditional association
approaches for bearing-only target locating and tracking
system. First, this paper proposes a fast track initiation
approach for the system using a single passive sensor. In this approach, the rules of screening out threatening targets are set by analyzing the characteristics of target motion in two
dimensional bearing-only coordinates. And the track
initiation of threatening targets is implemented in the
shortest time based on a modified heuristic algorithm using
these rules. Then, other target tracks are initialized based
on a logic-based algorithm in two dimensional bearing-only
coordinates as a supplement. At last, by deeply studying
different point-track association algorithms and comparing
the association effect between JPDA and NNDA in bearingonly
coordinate, suitable angle-measurement based association algorithm is presented. As the results, the confirming efficiency of the bearing-only measurements is improved and false tracking with the dense clutter is limited.
The application of this algorithm has effectively resolved the
track association problem of the bearing-only tracking using
a single passive sensor. The application of the proposed
approach in a simulation system proves its effectiveness and
practicability.