针对小型多级固体运载火箭,设计了合理的飞行轨迹,并综合分析弹道设计、轨道设计和总体特性相互作用,建立了总体/弹道/轨道一体化优化设计数学模型。应用自适应模拟退火法、虎克直接搜索法、多岛遗传算法、逐次近似法和有向启发式搜索法...针对小型多级固体运载火箭,设计了合理的飞行轨迹,并综合分析弹道设计、轨道设计和总体特性相互作用,建立了总体/弹道/轨道一体化优化设计数学模型。应用自适应模拟退火法、虎克直接搜索法、多岛遗传算法、逐次近似法和有向启发式搜索法,针对300 km LEO轨道进行了多级固体运载火箭总体/弹道/轨道一体化优化,并比较了5种算法优化结果。计算表明:所建立的一体化优化设计模型是合理的;总体参数优化结合轨迹优化最大程度地挖掘了运载火箭整体设计性能,并且优化设计效果明显,优化所得变轨消耗推进剂质量比原方案减轻了12%。该模型和软件也可推广应用到其它固体火箭的方案论证和初步设计过程中。展开更多
This paper focuses mainly on the major errors and their reduction approaches pertaining to combined GPS/GLONASS positioning.To determine the difference in the time reference systems,different receiver clock offsets ar...This paper focuses mainly on the major errors and their reduction approaches pertaining to combined GPS/GLONASS positioning.To determine the difference in the time reference systems,different receiver clock offsets are introduced with respect to GPS and GLONASS system time.A more desirable method for introducing a independent unknown parameter of fifth receiver,which can be canceled out when forming difference measurements,is discussed.The error of orbit integration and the error of transformation parameters are addressed in detail.Results of numerical integration are given.To deal with the influence of ionospheric delay,a method for forming dual_frequency ionospheric free carrier phase measurements is detailed.展开更多
Low Earth Orbit(LEO)satellite navigation signal can be used as an opportunity signal in the case of a Global Navigation Satellite System(GNSS)outage,or as an enhancement by means of traditional GNSS positioning algori...Low Earth Orbit(LEO)satellite navigation signal can be used as an opportunity signal in the case of a Global Navigation Satellite System(GNSS)outage,or as an enhancement by means of traditional GNSS positioning algorithms.No matter which service mode is used,signal acquisition is a prerequisite for providing enhanced LEO navigation services.Compared with the medium orbit satellite,the transit time of the LEO satellite is shorter.Thus,it is of great significance to expand the successful acquisition time range of the LEO signal.Previous studies on LEO signal acquisition are based on simulation data.However,signal acquisition research based on real data is crucial.In this work,the signal characteristics of LEO satellites:power space density in free space and the Doppler shift of LEO satellites are individually studied.The unified symbolic definitions of several integration algorithms based on the parallel search signal acquisition algorithm are given.To verify these algorithms for LEO signal acquisition,a Software Defined Receiver(SDR)is developed.The performance of these integration algorithms on expanding the successful acquisition time range is verified by the real data collected from the Luojia-1A satellite.The experimental results show that the integration strategy can expand the successful acquisition time range,and it will not expand indefinitely with the integration duration.The performance of the coherent integration and differential integration algorithms is better than the other two integration algorithms,so the two algorithms are recommended for LEO signal acquisition and a 20 ms integration duration is preferred.The detection threshold of 2.5 is not suitable for all integration algorithms and various integration durations,especially for the Maximum-to-Mean Ratio indicator.展开更多
文摘针对小型多级固体运载火箭,设计了合理的飞行轨迹,并综合分析弹道设计、轨道设计和总体特性相互作用,建立了总体/弹道/轨道一体化优化设计数学模型。应用自适应模拟退火法、虎克直接搜索法、多岛遗传算法、逐次近似法和有向启发式搜索法,针对300 km LEO轨道进行了多级固体运载火箭总体/弹道/轨道一体化优化,并比较了5种算法优化结果。计算表明:所建立的一体化优化设计模型是合理的;总体参数优化结合轨迹优化最大程度地挖掘了运载火箭整体设计性能,并且优化设计效果明显,优化所得变轨消耗推进剂质量比原方案减轻了12%。该模型和软件也可推广应用到其它固体火箭的方案论证和初步设计过程中。
文摘This paper focuses mainly on the major errors and their reduction approaches pertaining to combined GPS/GLONASS positioning.To determine the difference in the time reference systems,different receiver clock offsets are introduced with respect to GPS and GLONASS system time.A more desirable method for introducing a independent unknown parameter of fifth receiver,which can be canceled out when forming difference measurements,is discussed.The error of orbit integration and the error of transformation parameters are addressed in detail.Results of numerical integration are given.To deal with the influence of ionospheric delay,a method for forming dual_frequency ionospheric free carrier phase measurements is detailed.
基金the National Key R&D Program of China[grant number 2018YFB0505400]the Natural Science Fund of Hubei Province with Project[grant number 2018CFA007]National Key Research and Development Program of China[2018YFB0505400]。
文摘Low Earth Orbit(LEO)satellite navigation signal can be used as an opportunity signal in the case of a Global Navigation Satellite System(GNSS)outage,or as an enhancement by means of traditional GNSS positioning algorithms.No matter which service mode is used,signal acquisition is a prerequisite for providing enhanced LEO navigation services.Compared with the medium orbit satellite,the transit time of the LEO satellite is shorter.Thus,it is of great significance to expand the successful acquisition time range of the LEO signal.Previous studies on LEO signal acquisition are based on simulation data.However,signal acquisition research based on real data is crucial.In this work,the signal characteristics of LEO satellites:power space density in free space and the Doppler shift of LEO satellites are individually studied.The unified symbolic definitions of several integration algorithms based on the parallel search signal acquisition algorithm are given.To verify these algorithms for LEO signal acquisition,a Software Defined Receiver(SDR)is developed.The performance of these integration algorithms on expanding the successful acquisition time range is verified by the real data collected from the Luojia-1A satellite.The experimental results show that the integration strategy can expand the successful acquisition time range,and it will not expand indefinitely with the integration duration.The performance of the coherent integration and differential integration algorithms is better than the other two integration algorithms,so the two algorithms are recommended for LEO signal acquisition and a 20 ms integration duration is preferred.The detection threshold of 2.5 is not suitable for all integration algorithms and various integration durations,especially for the Maximum-to-Mean Ratio indicator.
