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International Conference on Guidance, Navigation and Control, ICGNC 2022

作者： Ren, Shiyu Yang, Xiangyuan Diao, Tianru Tian, Yuyin Chen, Wantong School of Electronic Information and Automation Civil Aviation University of China Tianjin300300 China Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin300300 China

ISBN: (纸本)9789811966125

Accuracy and robustness of positioning are key factors in modern global navigation satellite system (GNSS) applications. Pseudo ranging Single-Point Positioning (SPP) utilizes the pseudo-range observations from satellites to achieve highly robust meter-level positioning accuracy with a single receiver. However, this precision does not satisfy the requirements of some modern applications. Pre-obtained receiver altitude data is used in this study to develop a new altitude-constrained SPP algorithm for positioning scenarios that require sub-meter accuracy and high robustness. The altitude constraint is first incorporated into the SPP model in the form of a quadratic equality, which expands the existing unconstrained least-squares (LS) algorithm to a quadratic equality constrained one, which is well-suited to positioning scenes where priori altitude information is obtainable. By further considering a priori altitude information with a certain error, the LS algorithm can be improved by taking the altitude and variance of its measurement error as a constraint condition, then constructing a weighted altitude constraint SPP algorithm. Experimental data results are utilized to validate the proposed algorithm. Compared to the traditional unconstrained SPP approach, the positioning performance of the altitude-constrained SPP method is significantly improved to the point of sub-meter level positioning accuracy. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Global positioning system

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STAP compensation technique based on homomorphic filtering in GPS

STAP compensation technique based on homomorphic filtering i...

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4th IEEE International Symposium on Phased Array Systems and Technology, Array 2010

作者： Wu, Renbiao Xu, Rulan Rulan, Dan Yu, Jianpin ATR Lab Intelligent Information Institute Shenzhen University Shenzhen 518060 China Tianjin Key Laboratory for Advanced Signal Processing Civil Aviation University of China Tianjin 300300 China

ISBN: (纸本)9781424451272

Space time adaptive processing (STAP) can be used to remove hostile jammers interfering for Global Positioning System (GPS) receivers, especially in the presence of jammer multipath. However, the STAP filter can bring in distortion to the GPS signal because it does not have a uniform frequency response across the operating band, which would dramatically reduce the accuracy of the users' position. Based on the homomorphic filtering a new method is proposed to compensate the distortion caused by the STAP filter. Finally, simulation results show the proposed method is effective. © 2010 IEEE.

关键词： Jamming

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Crashed plane detection based on the fusion of CFAR detection and polarimetric decomposition

Crashed plane detection based on the fusion of CFAR detectio...

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6th International Conference on Radar, RADAR 2011

作者： Han, Ping Ge, Peng Wu, Renbiao Tianjin Key Laboratory for Advanced Signal Processing Civil Aviation University of China Tianjin 300300 China Intelligent Information Institute of ATR Lab Shenzhen University Shenzhen 518060 China

ISBN: (纸本)9781424484416

Aiming at the problem of high false alarm rate and missing rate with single detection method, an improved target detection algorithm for crashed plane detection is proposed in this paper. The method firstly detects the possible existence of the crashed plane with Yamaguchi decomposition and Constant False Alarm Rate (CFAR). Then, the detection results of the two methods are processed by pre-determination, and the final result is achieved by fusion and complementary detection. Simulation experimental results with real polarimetric data from NASA/JPL UAVSAR system demonstrate that the proposed method decreases the false alarm rate and missing rate effectively. © 2011 IEEE.

关键词： Synthetic aperture radar

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InSAR interferometric phase estimation based on correlation weight subspace projection

InSAR interferometric phase estimation based on correlation ...

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6th International Conference on Radar, RADAR 2011

作者： Li, Hai Wu, Renbiao Tianjin Key Laboratory for Advanced Signal Processing Civil Aviation University of China Tianjin 300300 China Intelligent Information Institute of ATR Lab Shenzhen University Shenzhen 518060 China

ISBN: (纸本)9781424484416

In this paper we propose a method to estimate the InSAR interferometric phase using the correlation weight subspace projection technique. In the method the correlation weight data vector is constructed, thus the noise subspace dimension of the corresponding covariance matrix will not be affected by the coregistration error, then avoiding the trouble of calculating the noise subspace dimension before estimating the InSAR interferometric phase. The method can auto-coregister the SAR images and reduce the interferometric phase noise simultaneously. The effectiveness of the method is verified via simulated data. © 2011 IEEE.

关键词： Covariance matrix

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Parameter estimation of moving target based on linearly constrained space-time adaptive monopulse technique

Parameter estimation of moving target based on linearly cons...

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4th IEEE International Symposium on Phased Array Systems and Technology, Array 2010

作者： Wu, Renbiao Wang, Lu Su, Zhigang Huang, Jingxiong Tianjin Key Laboratory for Advanced Signal Processing Civil Aviation University of China Tianjin 300300 China ATR Lab Intelligent Information Institute ShenZhen University Shenzhen 518060 China

ISBN: (纸本)9781424451272

Technique of space-time adaptive processing (STAP), which is usually employed by airborne radar to reject the ground clutter and jamming and at the same time, detect the ground moving targets, can not estimate the spatial-temporal parameters of the corresponding targets. Monopulse technique, as a mature method for parameter estimation can be used on airborne radar, however, the estimation performance of this method is dramatically effected by the ground clutter and jamming components present, even when these components falls into the mainbeam interval. By combining the STAP technique with the monopulse technique, a new method for estimating the spatial-temporal parameters of moving targets is proposed and referred as to LC-STAM in this paper. Additionally, the proposed method utilizes the beam null, monopulse slope, and decoupling constraints to remove the worse influence on the beam shape from the mainbeam clutter, maintain the characteristic of the monopulse ratio, and increase the veracity of parameter estimation. Simulation results illustrated that the LC-STAM method possesses the excellent estimation performance of the spatail-temporal parameters by comparing with the other similar methods. © 2010 IEEE.

关键词： Space time adaptive processing

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Parameter Estimation of Maneuvering Target Using Maximum Likelihood Estimation for MIMO Radar with Colocated Antennas

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Journal of Computer and Communications 2017年第3期5卷 69-74页

作者： Hai Li Ling Xu Zhe Zhang Tianjin Key Lab. for Advanced Signal Processing Civil Aviation University of China Tianjin China

The estimation of target parameters in MIMO radar signal processing is one of the most important research topics. An efficient implementation of the Maximum Likelihood estimator is presented in this paper to estimate the DOA (Direction of Arrival), initial velocity and acceleration of a maneuvering target in colocated MIMO radar. The target’s DOA is estimated in the first place, then a Maximum-Likelihood (ML) estimation based on peak search is applied to a two-dimensional grids providing estimation of initial velocity and acceleration. Simulations show that the MIMO radar has a better performance in DOA estimation than the phased array radar. By means of Monte Carlo simulations, the estimation error of initial velocity and acceleration on different SNRs are calculated. The results also suggest the effectiveness of this method.

关键词： MIMO Radar Parameter Estimation Maximum Likelihood Estimation

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Ground clutter suppression method based on FNN for dual-polarisation weather radar

Ground clutter suppression method based on FNN for dual-pola...

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IET International Radar Conference 2018, IRC 2018

作者： Li, Hai Ren, Jiawei Han, Jungong Fan, Yi Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China School of Computing and Communications Lancaster University Lancaster United Kingdom

Conventional clutter suppression methods in the field of precipitation detection generally use fixed parameters, resulting in poor clutter suppression in complex weather conditions and regional environments. Here, a ground clutter suppression method for dual-polarisation weather radar based on fuzzy neural network (FNN) is proposed. In the method, the FNN is trained with the ground clutter data acquired by the dual-polarisation weather radar in the clear sky mode. The membership function parameters of ground clutter polarisation parameters are adaptively calculated. Then, the ground clutter in the radar echo under the precipitation mode is identified and suppressed by the trained FNN. Experimental results of measured data show that the proposed method can be adapted to the specific clutter environment so that the ground clutter can be effectively suppressed in complex weather conditions. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Complex networks

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A multimodal Finger-Based recognition method based on granular computing

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8833卷 458-464页

作者： Li, Yanan Peng, Jinjin Zhong, Zhen Jia, Guimin Yang, Jinfeng Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

Finger-based biometrics is widely used in identity authentication. In this paper, viewing fingerprint (FP), finger-knuckle-print (FKP) and finger-vein (FV) as the constitutions of finger trait, a new multimodal finger-based recognition scheme is proposed based on granular computing (GrC). First, the ridge texture features of FP, FV and FKP are extracted using the feature extraction scheme of Orientation coding and Magnitude coding (OrientCode& MagCode) which combines orientation and magnitude information extracted by Gabor filtering. Combining the OrientCode and MagCode feature maps in a color-based manner respectively, we then constitute the original feature object set of a finger. To represent finger feature effectively, they are granulated at three levels of information granularity in a bottom-up manner based on GrC. Moreover, a top-down matching method is proposed to test the performance of the multilevel feature granules. Experimental results show that the proposed method achieves higher accuracy recogni on rate in multimodal finger-based recognition. © Springer International Publishing Switzerland 2014.

关键词： Gabor filters

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Multimodal finger feature recognition based on circular granulation

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8833卷 451-457页

作者： Peng, Jinjin Li, Yanan Li, Ruimei Jia, Guimin Yang, Jinfeng Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

Finger has three biometric modalities, fingerprint (FP), finger-vein (FV) and finger-knuckle-print (FKP).Taking these modalities as a whole has a natural advantage in convenience and universality for personal identification. In this paper, a new finger recognition method based on granular computing is proposed. The used granular space consists of three layers and is constructed in a bottom-up manner. For the finger recognition, a coarse-to-fine granular matching scheme is proposed. Experiments are performed on a self-built image database with three modalities to validatethe reliability and performance of the proposed method. © Springer International Publishing Switzerland 2014.

关键词： Granular computing

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Airport Runway Conflict Detection And Visual Simulation 3

Airport Runway Conflict Detection And Visual Simulation

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3rd International Symposium on Aerospace Engineering and Systems, ISAES 2024

作者： Song, Tao Zhang, Siyuan Shen, Xiaoyun Yan, Siming Civil Aviation University of China Tianjin Key Lab for Advanced Signal Processing Tianjin China Chongqing Sub-bureau of Southwest China Reginal Atmb Technical Support Department Chongqing China

ISBN: (纸本)9798350350418

In order to prevent runway intrusion events due to the incorrect deployment of aircraft by controllers with insufficient situational awareness, a 3D visual simulation system for runway conflict detection is designed. By analyzing different types of conflict scenarios of aircraft arrival and departure, the runway conflict models are constructed, and for different conflict models, the spatial distance method is used to determine whether runway incursion of the aircraft occurs. Then the combination of spatial distance and time threshold are used for the conflict alarm. The runway protection area is constructed, the aircraft motion model of the airport surface is established based on the data of airport surveillance data. The visual simulation of the arrival and departure conflict detection algorithm is realized on the Unreal Engine 4 platform. The experimental results show that according to the arrival and departure conflict detection, when aircrafts are close to each other and less than the encounter time threshold, the system can detect the runway conflict in real time and give the alarm. © 2024 IEEE.

关键词： Airport security

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