Satellite Navigation

Scope & Guideline

Pioneering Research in Signal Processing and Navigation

Introduction

Delve into the academic richness of Satellite Navigation with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN2662-9291
PublisherSPRINGERNATURE
Support Open AccessYes
CountryChina
TypeJournal
Convergefrom 2020 to 2024
AbbreviationSATELLITE NAVIG / Satell. Navig.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressCAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND

Aims and Scopes

The journal 'Satellite Navigation' primarily focuses on advancing the field of satellite positioning and navigation through innovative research and applications. It encompasses a wide range of studies that contribute to the understanding and enhancement of Global Navigation Satellite Systems (GNSS) and their integration with emerging technologies.
  1. GNSS Technology Development:
    Research on the development and enhancement of GNSS technology, including signal processing, satellite constellations, and new GNSS systems such as BeiDou, Galileo, and others.
  2. Precision Positioning Techniques:
    Studies focusing on high-precision positioning methodologies, including Precise Point Positioning (PPP), Real-Time Kinematic (RTK) positioning, and multi-frequency GNSS techniques.
  3. Integration with Emerging Technologies:
    Exploration of integration between GNSS and other technologies such as 5G, machine learning, and Internet of Things (IoT) to improve positioning and navigation capabilities.
  4. Remote Sensing Applications:
    Utilization of GNSS for remote sensing applications, including environmental monitoring, disaster management, and geophysical studies.
  5. Geodetic and Atmospheric Studies:
    Research on geodetic applications of GNSS, including studies on atmospheric effects, tropospheric delay, and ionospheric modeling.
  6. Urban and Challenging Environment Navigation:
    Innovative solutions and methodologies for enhancing GNSS performance in urban areas and challenging environments, addressing issues such as multipath effects and signal interference.
The 'Satellite Navigation' journal is increasingly publishing research that reflects emerging trends and themes in the field of satellite navigation and positioning. These themes highlight the journal's responsiveness to technological advancements and societal needs.
  1. Integration with 5G Technology:
    Recent publications indicate a growing interest in the integration of GNSS with 5G technology, focusing on enhancing positioning accuracy and service reliability in urban environments.
  2. Machine Learning Applications:
    There is a notable increase in studies applying machine learning techniques to GNSS signal processing and positioning algorithms, showcasing the potential for improved accuracy and efficiency.
  3. Crowdsourced GNSS Data Utilization:
    Emerging frameworks utilizing crowdsourced data for RTK positioning and atmospheric mapping reflect a trend towards collaborative and scalable navigation solutions.
  4. Environmental Monitoring and Climate Studies:
    Research leveraging GNSS for environmental monitoring, including drought and atmospheric studies, is on the rise, highlighting the role of GNSS in addressing climate change challenges.
  5. Advanced Integrity Monitoring Techniques:
    The development of sophisticated integrity monitoring methods for GNSS systems is gaining traction, particularly in applications requiring high reliability, such as autonomous vehicles.

Declining or Waning

Over recent years, certain themes within the journal 'Satellite Navigation' have shown a decline in frequency or focus. This may indicate a shift in research priorities or the maturation of specific topics.
  1. Traditional GNSS Signal Processing:
    While still relevant, traditional approaches to GNSS signal processing appear less frequently as newer methodologies and technologies, such as machine learning and AI-driven techniques, gain prominence.
  2. Basic GNSS Positioning Techniques:
    Fundamental studies on basic GNSS positioning methods are becoming less common, possibly due to the saturation of research in this area and a shift towards more advanced and integrated approaches.
  3. Single-GNSS System Studies:
    Research focusing solely on individual GNSS systems (like GPS or BeiDou) is declining, as there is a growing emphasis on multi-GNSS integration and interoperability.
  4. Static GNSS Applications:
    Static applications of GNSS, such as those limited to fixed-point positioning, are seeing reduced publication frequency, with a shift towards dynamic and mobile applications.

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