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对于含有未知模型参数和带未知噪声统计的一类跟踪系统,基于ARMA新息模型的在线辨识,本文提出了一种新颖的自校正α-β-γ跟踪滤波器,仿真结果说明了它的有效性。
For a class of tracking system with unknown model parameters and unknown noise statistics, a novel self-tuning α-β-γ tracking filter is proposed based on on-line identification of the ARMA interest model. The simulation results show its effectiveness Sex.