Bias estimation for practical distributed multiradar-multitarget tracking systems

摘要: Bias estimation or sensor registration is an essential step in ensuring the accuracy of global tracks multisensor-multitarget tracking. Most algorithms previously proposed for bias rely on local measurements centralized systems distributed systems, along with additional information like covariances, filter gains targets opportunity. In addition, it generally assumed that such data are made available to fusion center at every sampling time. real multisensor tracking where each platform sends locals center, only state estimates and, perhaps, their covariances sent non-consecutive instants scans. That is, not all required exact estimation, practical systems. this paper, a new algorithm capable accurate even absence gain from platforms, irregular track transmission rates. It shown performance algorithm, which uses tracklet idea and does require time exchange gains, can approach requires gains.