Civil Aviation Navigation Research Articles

Research on a Method of Locating Civil Aviation Radio Interference Sources Based on Time Difference of Arrival and Frequency Difference of Arrival for Four Unmanned Aerial Vehicles.

Monitoring and analyzing radio interference sources play a crucial role in ensuring the safe operation of civil aviation navigation, communication, airport management, and air traffic control. Traditional ground monitoring methods are slow and inadequate for tracking aerial and mobile interference sources effectively. Although flight methods such as helicopters and airships can effectively monitor aerial interference, the flight approval process is time-consuming and expensive. This paper investigates a novel approach to locating civil aviation radio interference sources using four unmanned aerial vehicles (UAVs) to address this issue. It establishes a model for aerial positioning of radio interference sources with the four UAVs and proposes a method for time synchronization and data communication among them. The paper conducts simulations of the four-UAV time-frequency difference positioning method, analyzing the geometric accuracy dilution with different deployment configurations of the UAVs, positioning biases, and root mean square errors (RMSEs) under varying interference source movement speeds. The simulation results provide crucial data to support subsequent experiments.

浅析民航航行情报对安全飞行的意义

浅析民航航行情报对安全飞行的意义

Vulnerability Evaluation and Improvement Method of Civil Aviation Navigation Network

Due to events such as natural disasters and navigation equipment failures, enormous calamity may be caused by the interruption of the navigation network which is a guarantee for the flight safety of civil aviation aircraft. The navigation network consists of the navigation stations as nodes and the routes between them as edges. Different nodes have different effects on the vulnerability of the network due to their different abilities to maintain the stability of the network topology and the normal function of the network. To quantify this difference and identify key nodes that have a greater impact on the vulnerability of the navigation network, an indicator to assess the importance of a navigation station is proposed which combines the structural importance reflected by node topology centrality and functional importance reflected by node weight. The structural importance of a node corresponds to its topology features including local dominance of the node and its global influence, and the important contribution to both adjacent and nonadjacent nodes from this node, while the functional importance is indicated by the flight flow serviced by the node during a fixed period of time. Vulnerability evaluation shows that the navigation network is more vulnerable when subject to the intentional attack of nodes with higher comprehensive node importance than an intentional attack of nodes with a larger value of indicators used in previous literature. Finally, the vulnerability of the navigation network is improved through changing the topology of the most critical node and balancing the node importance of the whole network.

IMPACT OF USING THE NEW THIRD FREQUENCY ON GPS AMBIGUITY RESOLUTION

The new GPS L5 signal, is a part of the U.S. efforts to modernize its global positioning system (GPS). It was designed to support safety of life applications such as civil aviation navigation. Its structure designed to provide higher performance in terms of measurement accuracy. Till now, the GPS system cannot transmit L5 from all satellites. So, in this paper a GPS simulator software in MATLAB environment was implemented to simulate RINEX observations files with the three frequencies. MATLAB: GPSDP (GPS Differential Processing) program was used to process static and kinematic data from all three frequencies . RINEX files for both base and rover stations had been generated for different baselines lengths 5, 50 and 100 km approximately in different day times. These data are used to study the impact of the third frequency on rate of resolving integer ambiguities and the time needed to fix the integer ambiguities correctly. Also, the positioning accuracy after adding the third frequency to dual frequencies data. All parameters are studied under variation of ionosphere intensities. The results of experiments have been illustrated and they show efficiency of using the third frequency over dual frequencies.

A support system for civil aviation navigation equipment security management

Civil aviation navigation equipment system has many weaknesses, which easily causes serious problem to air transportation safety. This paper focuses on a support system for civil aviation navigation equipment security management. Firstly, a sustainability assessment platform was constructed to analysis and find out the weaknesses of equipment network. Next, one network expansion planning platform was built to improve the reliability and business continuity of the whole navigation system. Experiments were carried out based on these two platforms. Also, the equipment network of China’s eastern part was expanded based on the business continuity assessment. Results proved that the network business continuity and node efficiencies of new equipment network can satisfy the lowest requirement of economic consumption. Finally, the optimal network expansion planning method has been achieved, proving the effectiveness of the civil aviation navigation equipment security management support system.

An integrated fault detection and exclusion scheme to support aviation navigation

This paper proposes a novel integrity monitoring scheme against global navigation satellite systems (GNSS) fault for civil aviation navigation. The main contributions are (a) developing an efficient user algorithm that integrates fault detection and exclusion (FDE) functions, and (b) deriving the analytical methods to quantify its corresponding integrity risk. The intended application of the new scheme is advanced receiver autonomous integrity monitoring (ARAIM), which is proposed by the United States (U.S.) and European Union (E.U.), and will serve as the next generation of the main aviation navigation means. In this new approach, the exclusion decision-making process is unified into the first layer detection step, thereby dramatically improving efficiency. The principle of this method is utilizing the multi-dimensional parity vector projections in parity space to extract the information of faults. In this work, we derive the projection matrix for single satellite failure modes, establish the mechanism for determining exclusion subset based on the projection magnitudes, and rigorously account for the false exclusion probabilities in the integrity risk quantification. The feasibility of the algorithm is verified and validated using Monte-Carlo simulations, and the performance is analyzed by evaluating the integrity risk. It is shown that the new FDE scheme can efficiently and effectively exclude the faulty satellites as desired, while achieving promising navigation performance.