A Novel GNSS Interference Detection Method Based on Smoothed Pseudo-Wigner–Hough Transform

Abstract

This paper develops novel Global Navigation Satellite System (GNSS) interference detection methods based on the Hough transform. These methods are realized by incorporating the Hough transform into three Time-Frequency distributions: Wigner–Ville distribution, pseudo -Wigner–Ville distribution and smoothed pseudo-Wigner–Ville distribution. This process results in the corresponding Wigner–Hough transform, pseudo-Wigner–Hough transform and smoothed pseudo-Wigner–Hough transform, which are used in GNSS interference detection to search for local Hough-transformed energy peak in a small limited area within the parameter space. The developed GNSS interference detection methods incorporate a novel concept of zero Hough-transformed energy distribution percentage to analyze the properties of energy concentration and cross-term suppression. The methods are tested with real GPS L1-C/A data collected in the presence of sweep interference. The test results show that the developed methods can deal with the cross-term problem with improved interference detection performance. In particular, the GNSS interference detection performance obtained with the smoothed pseudo-Wigner–Hough transform method is at least double that of the Wigner–Hough transform-based approach; the smoothed pseudo-Wigner–Hough transform-based GNSS interference detection method is improved at least 20% over the pseudo-Wigner–Hough transform-based technique in terms of the zero Hough-transformed energy percentage criteria. Therefore, the proposed smoothed pseudo-Wigner–Hough transform-based method is recommended in the interference detection for GNSS receivers, particularly in challenging electromagnetic environments.

Optimal Order of Time-Domain Adaptive Filter for Anti-Jamming Navigation Receiver

“…JSR (Jamming-to-Signal Ratio) and interference bandwidth are two characteristic parameters of interference signals, and these two parameters can be estimated effectively by existing corresponding algorithms in the navigation receiver [42,43]. In this paper, they are assumed to be known parameters.…”

Belt Rotation in the Pipe Conveyor: Research on a Detection Method Based on Image Processing

“…At this stage, the conveyor system is developing in the direction of large-scale [6] , intelligent [7] and energy-saving [8] , and the traditional comprehensive safeguard system of the pipe belt conveyor based on multiple types of sensors is not enough to meet the current needs of highly visualized, and integrated and intelligent development. In view of the above problems this paper investigates the research of conveyor belt rotation detection method of the pipe belt conveyor based on image processing, puts forward a detection method based on OUST-Canny operator [9,10] , and extracts the edge straight line features by using Hough [11] transform and analyzes and processes them, and ultimately realizes the detection of conveyor belt rotation faults.…”