Abstract
Analysis of the coexistence of two or more types of equipment is increasingly important. However, at present studies on the analysis method in the time domain are scant. Therefore, the aim of this paper is to explore the characteristics of signals and relations between interfering and desired signals in the time domain. Based on the periodicity of a signal, this paper presents a Periodic Pulse Overlap Method (PPOM). Using PPOM to analyze the interference from Distance Measuring Equipment (DME) to Air Traffic Control Radar Beacon System (ATCRBS) in the time domain, we obtain almost the same result as that based on the Monte Carlo Method (MCM). Furthermore, we discover the measures to reduce or even avoid interference, such as changing the Pulse Recurrence Frequency (PRF), adjusting the difference of initial time, and switching the operating modes of the equipment.
Highlights
With the increase of electrical and electronic equipment in recent years, analysis of the coexistence between them has gathered great importance
Miguel A. [7] assessed the impact of L-band digital aeronautical communications system (LDACS) on JTIDS using signal processing based on some assumptions for JTIDS
Using Periodic Pulse Overlap Method (PPOM), Poisson Distribution Method (PDM), and Monte Carlo Method (MCM), respectively, and study the results based on different methods
Summary
With the increase of electrical and electronic equipment in recent years, analysis of the coexistence between them has gathered great importance. Interference is often analyzed in the frequency domain, power domain, and signal processing, and some researchers have analyzed coexistence between two pieces of equipment operating at close frequency [1,2,3]. Takuya and Shigeru [4] propose an estimation method for the signal environment in ARNS (aeronautical Radio Navigation Service: 960∼1215 MHz) band to examine whether equipment sharing a frequency band interfere with each other. Some researchers use signal processing to analyze the coexistence between two pieces of equipment, for example Khodr A et al [6] studied the cancellation of DME interference for aeronautical communications using signal processing. There are some limitations when using signal processing to analyze interference, since the detailed characteristics of signals are not open, especially for military equipment (e.g., JTIDS)
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