Reference pattern-based track-to-track association with biased data

Abstract

A heuristic track-to-track association algorithm for sensors with azimuth biases and range biases is proposed based on a reference pattern (REP) of the target. For a given target, the structure revealed by its neighboring targets is named as its REP. To compensate for the relative azimuth bias between sensors, we modify the optimal subpattern assignment metric, which makes the derived association cost matrix insensitive to sensor biases. Simulation results demonstrate the superior performance of the proposed algorithm.