Return
Time-Frequency Analysis for GNSSs
DOI:10.1109/MSP.2017.2710235.png)
Abstract
En 中文
In this article, we discuss the important role of time-frequency (TF) signal representations in enhancing global navigation satellite system (GNSS) receiver performance. Both linear transforms and quadratic TF distributions (QTFDs) are considered. We review recent advances of antijam techniques that exploit the distinction in the TF signatures between the desired and undesired signals, enabling effective jammer excision with minimum distortion to the navigation signals. The characterization of jammers by their instantaneous frequencies (IFs) lends itself to sparse structures in the TF domain and, as such, invites compressive sensing (CS) and sparse reconstruction to aid in joint-variable domain jamming localization and suppression. Furthermore, the integration of the spatial domain with the TFDs, through the use of multiantenna receivers, permits the applications of space-time processing for effective jamming mitigation. The article also describes the fundamental role of TFDs in monitoring the performance of new GNSSs, including satellite clocks and ionospheric scintillation data. Real GNSS data collected in the presence of jamming are used to demonstrate the effectiveness of TF-based antijam approaches.
Keywords:
INTERFERENCE MITIGATION
SPARSE RECONSTRUCTION
JAMMERS
PERSPECTIVE
RECEIVERS
EXCISION
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
9.6
Papers:
1.1W
Citations:
1.7W
Organization
Cited Papers
Sparse Arrays and Sampling for Interference Mitigation and DOA Estimation in GNSS
PROCEEDINGS OF THE IEEE
IF25.9
Known Vulnerabilities of Global Navigation Satellite Systems, Status, and Potential Mitigation Techniques
PROCEEDINGS OF THE IEEE
IF25.9

