带输入加速度估计的自校正去卷跟踪平滑器
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摘要
处理了雷达跟踪系统中带输入加速度估计的问题.用现代时间序列分析方法[8],基于ARMA新息模型,提出用白噪声平滑估值器计算带输入加速度估计的自校正会卷跟踪平滑器的新方法,并用仿真例子说明新方法的有效性.
The problem with input acceleration estimation in the radar tracking system is treated. Using modern time series analysis method, based on ARMA innovation model, a new approach for obtaining self-tuning deconvolution smoothers with input acceleration estimation is presented by using the white noise smoothers. The simulation examples show the usefulness of the new approach.
引文
1DengZL.MultivariableSelf-TuningFilterandSmoother,Proc.of6thIFACSymp.onIdentificationandSystemParameterEstimation,WashingtonDC,1982(2)2MoirTJ,VishwanathTG,GampbellDR.Real-TimeSelf-TuningDeconvolutionFilterandSmoother,Int.J.Control,45(1987),969 ̄9853MendelJM,KormyloJ.NewFastOptimalWhite-NoiseEstimatorsforDeconvolution,IEEETrans.GeoscienceElectronics.GE-15(1977),No.14邓自立.多变量自校正滤波器和平滑器.自动化学报,1981,7(4):283~2935邓自立.应用于地震数据去卷的白噪声估值器.自动化学报,1986,12(2):113~1186邓自立,宋国英.稳态Kalman滤波增益估计的两种新算法及其应用.信息与控制,1991,20(6):20~257L.Ljung.OnPositiveRealTransferFunctionsandtheConvergenceofSomeRecursiveSchemes,IEEETrans.AutomaticControl,AC—22(1977),539—5518邓自立,郭一新.现代时间序列分析及其应用.北京:知识出版社,1989

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