This paper concentrates on addressing the hypersonic glide vehicle(HGV)tracking problem considering the high maneuverability and non-stationary heavy-tailed measurement noise without prior statistics in complicated fl...This paper concentrates on addressing the hypersonic glide vehicle(HGV)tracking problem considering the high maneuverability and non-stationary heavy-tailed measurement noise without prior statistics in complicated flight environments.Since the interacting multiple model(IMM)filtering is famous with its ability to cover the movement property of motion models,the problem is formulated as modeling the non-stationary heavy-tailed measurement noise without any prior statistics in the IMM framework.Firstly,without any prior statistics,the Gaussian-inverse Wishart distribution is embedded in the improved Pearson type-VII(PTV)distribution,which can adaptively adjust the parameters to model the non-stationary heavytailed measurement noise.Besides,degree of freedom(DOF)parameters are surrogated by the maximization of evidence lower bound(ELBO)in the variational Bayesian optimization framework instead of fixed value to handle uncertain non-Gaussian degrees.Then,this paper analytically derives fusion forms based on the maximum Versoria fusion criterion instead of the moment matching approach,which can provide a precise approximation for the PTV mixture distribution in the mixing and output steps combined with the weight Kullback-Leibler average theory.Simulation results demonstrate the superiority and robustness of the proposed algorithm in typical HGVs tracking when the measurement noise without priori statistics is non-stationary.展开更多
采用程序升温汽化(programmed temperature vaporization,PTV)大体积进样与气相色谱-质谱选择离子扫描模式(GC/MS-SIM)联用,检测了卷烟主流烟气中苯并[a]芘(benzo[a]pyrene B[a]P),优化了PTV-GC/MS-SIM检测卷烟烟气B[a]P的参数。样品经...采用程序升温汽化(programmed temperature vaporization,PTV)大体积进样与气相色谱-质谱选择离子扫描模式(GC/MS-SIM)联用,检测了卷烟主流烟气中苯并[a]芘(benzo[a]pyrene B[a]P),优化了PTV-GC/MS-SIM检测卷烟烟气B[a]P的参数。样品经反相C18固相萃取柱(solid-phase extraction,SPE)纯化后的洗脱液不再需要浓缩,直接应用PTV技术进样,提高了洗脱液的利用率,缩短了分析时间,提高了GC/MS-SIM检测卷烟烟气B[a]P的灵敏度。展开更多
基金supported by the National Natural Science Foundation of China(12072090).
文摘This paper concentrates on addressing the hypersonic glide vehicle(HGV)tracking problem considering the high maneuverability and non-stationary heavy-tailed measurement noise without prior statistics in complicated flight environments.Since the interacting multiple model(IMM)filtering is famous with its ability to cover the movement property of motion models,the problem is formulated as modeling the non-stationary heavy-tailed measurement noise without any prior statistics in the IMM framework.Firstly,without any prior statistics,the Gaussian-inverse Wishart distribution is embedded in the improved Pearson type-VII(PTV)distribution,which can adaptively adjust the parameters to model the non-stationary heavytailed measurement noise.Besides,degree of freedom(DOF)parameters are surrogated by the maximization of evidence lower bound(ELBO)in the variational Bayesian optimization framework instead of fixed value to handle uncertain non-Gaussian degrees.Then,this paper analytically derives fusion forms based on the maximum Versoria fusion criterion instead of the moment matching approach,which can provide a precise approximation for the PTV mixture distribution in the mixing and output steps combined with the weight Kullback-Leibler average theory.Simulation results demonstrate the superiority and robustness of the proposed algorithm in typical HGVs tracking when the measurement noise without priori statistics is non-stationary.
文摘采用程序升温汽化(programmed temperature vaporization,PTV)大体积进样与气相色谱-质谱选择离子扫描模式(GC/MS-SIM)联用,检测了卷烟主流烟气中苯并[a]芘(benzo[a]pyrene B[a]P),优化了PTV-GC/MS-SIM检测卷烟烟气B[a]P的参数。样品经反相C18固相萃取柱(solid-phase extraction,SPE)纯化后的洗脱液不再需要浓缩,直接应用PTV技术进样,提高了洗脱液的利用率,缩短了分析时间,提高了GC/MS-SIM检测卷烟烟气B[a]P的灵敏度。
