针对现存陆地移动卫星(land mobile satellite,LMS)信道模型使用场景有限及状态持续时间概率密度函数(state duration probability density function,SDPDF)不精确问题,提出能准确有效地描述更多操作场景的窄带LMS信道模型.利用对数正...针对现存陆地移动卫星(land mobile satellite,LMS)信道模型使用场景有限及状态持续时间概率密度函数(state duration probability density function,SDPDF)不精确问题,提出能准确有效地描述更多操作场景的窄带LMS信道模型.利用对数正态分布近似SDPDF的Semi-Markov链实现状态序列.在每一状态内结合传播参数生成服从Loo分布的载噪比时间序列.通过在慢衰落成分中引入多普勒频移以增加参数数据库及扩展适用场景.研究不同场景下状态概率、载噪比时间序列的一阶统计特性和90%信号有效性所需的余量,并与实测值比较.研究结果表明:该模型能在多场景下有效地代表阴影条件,且在不同信道环境中的各仰角和方位角下具有较好适用性,可用于系统性能分析.展开更多
Pre-stack depth migration velocity analysis is one of the keys to influencing the imaging quality of pre-stack migration.In this paper we cover a residual curvature velocity analysis method on angle-domain common imag...Pre-stack depth migration velocity analysis is one of the keys to influencing the imaging quality of pre-stack migration.In this paper we cover a residual curvature velocity analysis method on angle-domain common image gathers（ADCIGs） which can depict the relationship between incident angle and migration depth at imaging points and update the migration velocity.Differing from offset-domain common image gathers（ODCIGs）,ADCIGs are not disturbed by the multi-path problem which contributes to imaging artifacts,thus influencing the velocity analysis.On the basis of horizontal layers,we derive the residual depth equation and also propose a velocity analysis workflow for velocity scanning.The tests to synthetic and field data prove the velocity analysis methods adopted in this paper are robust and valid.展开更多
文摘针对现存陆地移动卫星(land mobile satellite,LMS)信道模型使用场景有限及状态持续时间概率密度函数(state duration probability density function,SDPDF)不精确问题,提出能准确有效地描述更多操作场景的窄带LMS信道模型.利用对数正态分布近似SDPDF的Semi-Markov链实现状态序列.在每一状态内结合传播参数生成服从Loo分布的载噪比时间序列.通过在慢衰落成分中引入多普勒频移以增加参数数据库及扩展适用场景.研究不同场景下状态概率、载噪比时间序列的一阶统计特性和90%信号有效性所需的余量,并与实测值比较.研究结果表明:该模型能在多场景下有效地代表阴影条件,且在不同信道环境中的各仰角和方位角下具有较好适用性,可用于系统性能分析.
基金supported by the National 863 Program (Grant No.2006AA06Z206,Sustained supported)the National Science and Technology Major Project (Grant No.2008ZX05006-004)SinoPec Group Marine Facies Research (Grant No.08370502000410)
文摘Pre-stack depth migration velocity analysis is one of the keys to influencing the imaging quality of pre-stack migration.In this paper we cover a residual curvature velocity analysis method on angle-domain common image gathers（ADCIGs） which can depict the relationship between incident angle and migration depth at imaging points and update the migration velocity.Differing from offset-domain common image gathers（ODCIGs）,ADCIGs are not disturbed by the multi-path problem which contributes to imaging artifacts,thus influencing the velocity analysis.On the basis of horizontal layers,we derive the residual depth equation and also propose a velocity analysis workflow for velocity scanning.The tests to synthetic and field data prove the velocity analysis methods adopted in this paper are robust and valid.
