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Airport Runway Conflict Detection And Visual Simulation 3

Airport Runway Conflict Detection And Visual Simulation

引用

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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The DME Interference Mitigation Based Wavelet Thresholding Algorithm for L-DACS Receiver

The DME Interference Mitigation Based Wavelet Thresholding A...

引用

6th International Conference on Intelligent Computing and signal processing (ICSP)

作者： Xiangqing Peng Jiani Wang Lei Wang Haitao Liu Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

ISBN: (数字)9798350376548

ISBN: (纸本)9798350376555

The L-DACS operates as an inlay system between two adjacent channels of the Distance Measuring Equipment (DME) system since the spectrum resources in the L-band are scarce and fragmented. This DME signal severely impacts the performance of L-DACS. This paper proposes an approach for mitigating DME interference by integrating spectrum aggregation technology and a wavelet thresholding algorithm. To enhance spectral efficiency, the method utilizes direct wideband aggregation technology at the transmission end to expand the bandwidth. Then, at the receiving end of Orthogonal Frequency Division Multiplexing (OFDM), the received signal is decomposed layer by layer using the wavelet threshold algorithm. The difference between the spectrum-aggregated signal and the DME signal in the wavelet domain is effectively identified to reconstruct the DME signal, thereby achieving interference elimination. Simulation results demonstrate that this method improves spectrum efficiency and data transmission rate while significantly mitigating DME interference, thereby enhancing the link transmission reliability of the L-DACS system.

关键词： Time-frequency analysis Wavelet domain Simulation OFDM signal processing algorithms Interference Wavelet analysis Reliability L-band Wideband

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LSAN: A Novel Lightweight SAR Aircraft Target Detection Network

LSAN: A Novel Lightweight SAR Aircraft Target Detection Netw...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Ping Han Jirui Bai Yanwen Peng Lei Yang Binbin Han Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

This paper proposes a novel lightweight SAR aircraft detection network (Lightweight SAR-Aircraft Network LSAN) based on YOLOv8n. In the backbone and neck part of the network, we design a lightweight feature extraction module with Efficient Multiscale Attention Module (EMA) to reduce the network parameters and computation cost. A multiscale Discrete semantic Feature Enhancement Module (DFEM) is added in the neck to enhance the capability of feature extraction. Experimental results on the China GF-3 SAR datasets demonstrate that the proposed algorithm achieves 98.1% mAP 50 and 82.1% mAP 50-95 at a speed of 122 FPS. Compared to the YOLOv8n model, LSAN shows an improvement of 1.4% in mAP 50 and 4.8% in mAP 50-95 . In particular, there is a reduction of 68.6% in the parameters and 30.8% of FLOPs. Also, experiments on other public SAR datasets demonstrate the generalization and effectiveness of our method.

关键词： Accuracy Atmospheric modeling Semantics Object detection Feature extraction Robustness Radar polarimetry

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Aircraft Avoidance of Suborbital Debris Hazard Zone Based on Lazy Theta* Algorithm

Aircraft Avoidance of Suborbital Debris Hazard Zone Based on...

引用

International Conference on Guidance, Navigation and Control, ICGNC 2022

作者： Chen, Wantong Diao, Tianru Yang, Qianqian Ren, Shiyu 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

During the intensive launch of suborbital vehicles, in order to meet the demand of short flight distance of civil aircraft and low workload of controllers, this paper proposes a redirect path planning method for suborbital debris hazard area based on Lazy Theta* algorithm. First, this paper uses the covariance propagation method to predict the propagation range of debris in a suborbital disintegration accident, converts the debris equation of motion into Gauss-Markov process, and constructs a probability ellipsoid using a probability density function to characterize the debris distribution. Second, this paper determines the mathematical boundaries of the projection of the probability ellipsoid of suborbital debris in the horizontal direction according to the acceptable risk probability for civil aviation and adopts the Divide-and-Conquer approach to delineate and extend the boundary of the suborbital debris hazard zone. Third, this paper considers constraints such as turning angle, flight segment length, and rerouting point, and uses the Lazy Theta* algorithm to plan a path with a short path length and few turns. Finally, the simulation results demonstrate that this method can quickly and effectively predict the propagation process of disintegrated debris of suborbital vehicles in complex atmospheric environments;in comparison with A* algorithm, the rerouting path length designed by the Lazy Theta* algorithm is reduced by an average of 2.35% and the number of rerouting points is reduced by an average of 92.04%, which meets the requirements of air traffic control. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Forecasting

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Research and Analysis of Mutual Interference Between Beidou and 5G signals on Airport Ground

Research and Analysis of Mutual Interference Between Beidou ...

引用

International Conference on Guidance, Navigation and Control, ICGNC 2022

作者： Chen, Wantong Tian, Yuyin Diao, Tianru Ren, Shiyu 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

With the opening of the BDS-3 and the rapid development of 5G communication technology, China is committed to applying Beidou airborne equipment to civil aircraft and promoting the autonomy of civil aviation equipment. This paper uses the effective carrier-to-noise ratio to research the interference of the 5G signals coverage area on the airport ground to the downlink of Beidou RDSS signals and establishes an interference analysis model. Different RDSS receiver front-end filter bandwidths are selected to simulate the degree of interference between the two systems and analyze the relationship between RDSS receiver elevation angle and signal loss to determine the conditions in that mutual interference is generated between the systems. The results show that the appropriate width of receiver bandwidth can reduce the degree of interference from 5G signals to RDSS signals, and the elevation angle of the Beidou RDSS receiver is approximately 90°with minimal transmission loss when the RDSS signals are considered to the free space transmission. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Bandwidth

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B-Spline Fusion Line of Sight Algorithm for UAV Path Planning

B-Spline Fusion Line of Sight Algorithm for UAV Path Plannin...

引用

International Conference on Guidance, Navigation and Control, ICGNC 2022

作者： Chen, Wantong Yang, Qianqian Diao, Tianru Ren, Shiyu 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

One of the key technologies to make UAVs intelligent is route planning. The traditional A* algorithm has a series of problems when performing UAV path planning, such as the planned path is not the actual optimal route, does not satisfy airworthiness criteria of UAV and so on. In paper, we come up with an A* improvement strategy based on B-sample fusion to improve the line of sight detection algorithm. Firstly, the line of sight detection algorithm is introduced and improved to optimize rationality of route planning at any angle. Second, to lessen the memory overhead and accelerate search speed, an adaptive cost function is used to decrease the amount of expansion points in the process of route planning. Finally, experimental simulation results make it clear that the revised approach suggested in this article is substantially faster than the standard A* algorithm in generating viable pathways in terms of planning efficiency and immediacy. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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Single-Point Positioning with Altitude Constrains: A Hard Constrain and a Weighted Constrain

Single-Point Positioning with Altitude Constrains: A Hard Co...

引用

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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A Three-layer Parallel Implementation of the DPE Receiver based on GPU

A Three-layer Parallel Implementation of the DPE Receiver ba...

引用

第十四届中国卫星导航年会

作者： Qiongqiong Jia Weipeng Li Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

The Popular of Global Navigation Satellite System(GNSS) is attributed to its good ***,the performance of a conventional GNSS receiver is severely degraded or even failed to provide services in complex *** Position Estimation(DPE) combines all the visible satellite signals for energy accumulation in the navigation domain first,and then the navigation solution is estimated directly from the accumulation *** the navigation performance of GNSS can be effectively improved in complex environments by ***,the signal accumulation of DPE requires calculating the correlation values of all the visible satellite signals at each candidate grid in the navigation domain,the computation load of which limits its *** alleviate this problem,a GPU-based parallel implementation of the DPE receiver is designed,which decomposes the operations involved in the joint accumulation into three levels of parallel *** effectiveness of the designed parallel implementation of the DPE receiver is verified by experiment *** the available hardware in our laboratory,the designed DPE implementation improves the efficiency to approximately 146 times on average over the conventional DPE implementation.

关键词： Direct position estimation Complex environments GPU Parallel processing Joint accumulation

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DACNet: Single Image Dehazing Network Based on Attention Mechanism

DACNet: Single Image Dehazing Network Based on Attention Mec...

引用

Intelligent Communications and Computing (ICC), International Conference on

作者： Yongling Liu Ping Han Wanwei Wang Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

Aiming at the problem that atmospheric scattering model-based haze removal methods are prone to degradation of haze removal performance due to inaccurate parameter estimation, a single-image haze removal network based on the attention mechanism is proposed for direct restoration of haze-free images. The network consists of encoder and decoder, where the traditional convolution is replaced by combining dilated convolutions with different dilated rates for acquiring and processing haze-related image features. Due to the different weighted information contained in different channel features, an increased attention mechanism is used to enhance the feature representation of important channels through adaptive learning channel features, thereby enabling the encoder to pay more attention to channel information in the haze region. In the encoding and decoding structure, dilated convolution and attention mechanism are used in combination for image dehazing for the first time. By targeting the network to pay attention to the regions with high fog distribution while increasing the sensory field to obtain global information. The method presented in this paper improves the ability of network to process hazy images and brings a new breakthrough in the field of hazy image processing. Experiments show that the algorithm proposed in this paper achieves significant improvements in both subjective and objective indicators comparing with many state-of-the-art methods.

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Infrared Small Target Detection Algorithm Based on Improved DeeplabV3+

Infrared Small Target Detection Algorithm Based on Improved ...

引用

6th International Conference on Intelligent Computing and signal processing (ICSP)

作者： Mengfei Qi Guimin Jia Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

Infrared small target detection aims to segment small targets from the infrared images. Aiming at the problem of infrared small target detection, an improved algorithm is proposed based on DeeplabV3+ network. For the encoding part of DeeplabV3+, considering the small size of infrared small targets, the dilation rate of ASPP module is adjusted to capture the features of small targets more effectively. For the small targets are prone to lose spatial information during feature extraction, a location enhancement module is introduced to supplement accurate location information and to improve the accuracy of detection. In order to preserve detail information, an additional feature map is added from the backbone network to fuse detail information and semantic information for the decoding part of DeeplabV3+. Experimental results have demonstrated that the proposed algorithm is capable of enhancing the detection performance of DeeplabV3+ network in the infrared small target detection task.

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