L_1 DECONVOLUTION FOR A STATIONARY NON-MINIMUM PHASE AR(p) MODEL

This paper provides the theoretical fundamentals of L_1 deconvolution for thestationary time series{y_n}which satisfies a non-minimum phase AR(p)model.An algorithmof the L_1 deconvolution and its convergency are analyzed in detail.Both theoretical analysisand numerical examples show that this kind of deconvolution is especially appropriate forthe case of P(x_n=0)≠0,where{x_n}is the system input resulting in{y_n};and such a caseis just interesting in seismic signal processing.     

多目标航迹相关算法及仿真研究

讨论不同位置上两传感器跟踪空中多目标的航迹相关问题，这里传感器a有距离、方位测量；传感器b有方位、仰角测量。算法分粗相关检验与精相关检验两步，后者采用从似然比检验导出的航迹相关性能指标，它特别适用于目标作编队飞行或交叉飞行。仿真结果显示，算法的效率接近理论的相关概率。