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| 1 | Optimality analysis of one-step OOSM filtering algorithms in target tracking显示文摘In centralized multisensor tracking systems, there are out-of-sequence measurements (OOSMs) frequently arising due to different time delays in communication links and varying pre-processing times at the sensor. Such OOSM arrival can induce the “negative-time measurement update” problem, which is quite common in real multisensor tracking systems. The A1 optimal update algorithm with OOSM is presented by Bar-Shalom for one-step case. However, this paper proves that the optimality of A1 algorithm is lost in direct discrete-time model (DDM) of the process noise, it holds true only in discretized continuous-time model (DCM). One better OOSM filtering algorithm for DDM case is presented. Also, another new optimal OOSM filtering algorithm, which is independent of the discrete time model of the process noise, is presented here. The performance of the two new algorithms is compared with that of A1 algorithm by Monte Carlo simulations. The effectiveness and correctness of the two proposed algorithms are validated by analysis and simulation results. | ZHOU WenHui LI Lin CHEN GuoHai YU AnXi | 2007 | Science in China(Series F)2007，50，2： | 12 |
| 2 | High-precision,fast DEM reconstruction method for spaceborne InSAR显示文摘The primary objective of the spaceborne interferometric synthetic aperture radar (InSAR) system is to develop a consistent global digital elevation model (DEM).The improvement of the processing speed in global interferometry missions while maintaining the accuracy is becoming an important issue.DEM reconstruction is the most time-consuming step in the data processing required for spaceborne InSAR.Based on a DEM reconstruction principle analysis,we exploited two basic characteristics of the mapping relation between the interferometric phase and 3-D position of target point.First,the relation between the 3-D position of the target point and the interferometric phase can be approximated using polynomials.Second,the corresponding polynomials change slowly in the local SAR images.Also,we verified the foundations of the two mentioned characteristics theoretically.Then,we proposed a fast method of DEM reconstruction based on this analysis.Detailed descriptions of the step and key parameters of the fast algorithm are provided.Finally,the repeat-pass interferometric data obtained using TerraSAR-X was used to test the presented method.The experimental results showed that a significant reduction in computation time is achieved with only a small loss in accuracy.The effectiveness and correctness of the proposed method were also validated. | WANG QingSong HUANG HaiFeng DONG Zhen YU AnXi LIANG DianNong | 2011 | Science China(Information Sciences)2011，54，11： | 6 |
| 3 | Real-time filter based on the quasi-accurate detection of gross errors显示文摘Because of the sensitivity of the Kalman framework to gross errors, proper techniques for detection of gross errors are necessary. By integrating the selection of quasi-accurate observations and the Kalman framework, a new filter called the quasi-accurate filter (QUAF) is developed. The expansibility and implementation scheme of the new algorithm are then discussed in detail, and the reliability matrix for the Kalman filter is proposed to analyze the reliability of the filters with different detection technologies. Finally, the experimental results from a real world case study are used to validate the conclusions. The QUAF carries out the preliminary selection of the quasi-accurate observations (QAOs) using the innovation of the Kalman filter, and use the check QAOs to determine reasonable observations. This causes the QUAF to handle more easily and possess wider expansibility. QUAF can be reformulated to the special cases of several common detection methods, such as the innovation method, robust estimation and quasi-accurate detection (QUAD). Since only reasonable observations are used, the QUAF has better detection accuracy and stronger avoidance of gross errors than the innovation method and robust estimation. Meanwhile, compared with QUAD methods, QUAF introduces the state-predicted model, requiring fewer quasi-accurate observations and making it more suitable for systems with complicated observation structures or sparse observations. | LIU Ye YU AnXi ZHU JuBo LIANG DianNong | 2012 | Chinese Science Bulletin2012，57，16： | 3 |
| 4 | High-precision,fast geolocation method for spaceborne synthetic aperture radar显示文摘Geolocation using spaceborne synthetic aperture radar(SAR) is essential for imagery applications,and high performance geolocation methods need to be developed to promote SAR imagery applications.Starting from the SAR imaging principle,this paper reveals and analyzes two basic characteristics of SAR imaging geometry,and demonstrates the rationality of the two characteristics.On this basis,a high-precision and fast geolocation method is proposed.We conducted a precision analysis on four SAR satellites(Germany's TerraSAR-X,Italy's COSMO-SkyMed,Japan's ALOS-PalSAR and Canada's Radarsat-2 satellites),and the results show that the precision of the proposed method meets practical needs.We then used TerraSAR-X SpotLight SAR real data to implement the fast geolocation,and found from performance evaluation that the computation cost is greatly reduced while high geolocation accuracy is maintained.We thus verified the efficiency and accuracy of the proposed method. | WANG QingSong HUANG HaiFeng DONG Zhen YU AnXi HE Feng LIANG DianNong | 2012 | Chinese Science Bulletin2012，57，2： | 1 |
| 5 | Off-grid correction for improving scatterer localization performance in compressive sampling SAR tomography显示文摘Dear editor,SAR tomography(TomoSAR)[1]as an adavnced technique forms an elevation aperture along the elevation direction.Therefore,it has the ability of resolving layovers,which are common in urban environments.For the moment,TomoSAR is broadly applied to map the urban areas with existence of large quantities of layovers. | Xiaoxiang ZHU Anxi YU Zhen DONG Manqing WU Qi LIU | 2021 | Science China(Information Sciences)2021，64，2： | 1 |
| 6 | Sliding polynomial modeling with equality constraints显示文摘Sliding polynomial modeling has undergone considerable development and has been widely applied to dynamic modeling. One focus of the polynomial model is to make efficient use of prior information, which can also be called additional or constrained information. Considering the fact that much additional information can be translated to equality constraints, we develop a new two-stage approach for sliding polynomial modeling with equality constraints. To maintain its compatibility with the polyno-mial model without this constraint, only a simple adjustment based on the constraint equation is involved in the algorithm. The approach is easy to implement and is superior in observability, convergence and accuracy. The results of a simulation study of spacecraft tracking are provided to confirm the theoretical development. As no special hypotheses are required, the approach presented here can be widely applied to dynamic modeling for nonlinear systems with equality constraints. Furthermore, per-formance predictions for other dynamic models can also draw lessons from this approach. | LIU Ye TANG GeShi YU AnXi ZHU JuBo LIANG DianNong | 2013 | Science China(Technological Sciences)2013，56，7： | 0 |
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