In modern society, the demand for high-precision and highly reliable position, navigation, and timing information is becoming increasingly urgent. Traditional single satellite navigation systems have played an important role in providing position and navigation services. However, their performance suffers from a series of problems such as signal occlusion and interference, which limits navigation accuracy and reliability, making it difficult to meet the needs of high-tech industries such as autonomous driving, precision agriculture and so on. To overcome these limitations, the academic and industrial communities have begun to explore multi-source PNT. The multi-source PNT refers to the integration of various types of navigation and positioning data sources, including multiple navigation satellite systems, inertial navigation systems, ground base station data, map data, and environmental sensor data.
In multi-source PNT systems, there are some issues that need to be addressed, including but not limited to the following:
1. Robustness and reliability: Traditional single PNT systems are susceptible to signal jamming, occlusion, or malicious attacks, so improving the robustness and reliability of PNT systems is an important issue.
2. Positioning accuracy: For certain application fields, such as autonomous driving and drones, there is a high demand for positioning accuracy, and traditional PNT systems may not be able to meet these requirements.
To address these issues, various methods can be adopted to achieve:
1. Multi-source data fusion: Utilizing information from different types of sensors, such as GPS, GLONASS, BeiDou satellite systems, for data fusion to improve the robustness and reliability of PNT systems.
2. Enhance existing satellite navigation technology: By introducing advanced signal processing algorithms and enhancing the performance of existing PNT systems, improve positioning accuracy and anti-interference ability.
3. Develop new positioning technologies: research and application of emerging technologies such as inertial navigation, visual navigation, wireless positioning and so on, to compensate for the shortcomings of traditional PNT systems.
This Research Topic welcomes Original Research, Review/Mini Review, and Perspectives articles, focusing on but not limited to the following areas:
- Multi-source cooperative navigation and positioning
- Antennas and RF front-end for GNSS receivers
- Spoofing and jamming countermeasures
- Acquisition, tracking and signal processing
- Positioning, timing and navigation processing
- Indoor positioning and localization in densely populated urban areas
- Wireless and sensor-based localization
- AI-assisted PNT
In modern society, the demand for high-precision and highly reliable position, navigation, and timing information is becoming increasingly urgent. Traditional single satellite navigation systems have played an important role in providing position and navigation services. However, their performance suffers from a series of problems such as signal occlusion and interference, which limits navigation accuracy and reliability, making it difficult to meet the needs of high-tech industries such as autonomous driving, precision agriculture and so on. To overcome these limitations, the academic and industrial communities have begun to explore multi-source PNT. The multi-source PNT refers to the integration of various types of navigation and positioning data sources, including multiple navigation satellite systems, inertial navigation systems, ground base station data, map data, and environmental sensor data.
In multi-source PNT systems, there are some issues that need to be addressed, including but not limited to the following:
1. Robustness and reliability: Traditional single PNT systems are susceptible to signal jamming, occlusion, or malicious attacks, so improving the robustness and reliability of PNT systems is an important issue.
2. Positioning accuracy: For certain application fields, such as autonomous driving and drones, there is a high demand for positioning accuracy, and traditional PNT systems may not be able to meet these requirements.
To address these issues, various methods can be adopted to achieve:
1. Multi-source data fusion: Utilizing information from different types of sensors, such as GPS, GLONASS, BeiDou satellite systems, for data fusion to improve the robustness and reliability of PNT systems.
2. Enhance existing satellite navigation technology: By introducing advanced signal processing algorithms and enhancing the performance of existing PNT systems, improve positioning accuracy and anti-interference ability.
3. Develop new positioning technologies: research and application of emerging technologies such as inertial navigation, visual navigation, wireless positioning and so on, to compensate for the shortcomings of traditional PNT systems.
This Research Topic welcomes Original Research, Review/Mini Review, and Perspectives articles, focusing on but not limited to the following areas:
- Multi-source cooperative navigation and positioning
- Antennas and RF front-end for GNSS receivers
- Spoofing and jamming countermeasures
- Acquisition, tracking and signal processing
- Positioning, timing and navigation processing
- Indoor positioning and localization in densely populated urban areas
- Wireless and sensor-based localization
- AI-assisted PNT