Conceptual Design of a Semi-Dual Polarized Monopulse Antenna by Computer Simulation

Abstract

Presented in this paper is a conceptual design by computer simulation of a monopulse reflector antenna with dual-circularly polarized sum patterns and linearly polarized azimuth and elevation difference patterns, which can be called a semi-dual polarized antenna. The proposed antenna consists of a five-element monopulse feed and a prime-focus parabolic reflector. The novelty of the proposed antenna is a monopulse feed consisting of a dual-circularly polarized square waveguide sum channel radiator and linearly polarized rectangular waveguide azimuth and elevation difference channel radiators. The separation of dual circular polarization is realized by a septum polarizer. The difference pattern is obtained by feeding two rectangular waveguides in opposite directions using a coaxial probe. The proposed monopulse feed geometry requires only two power combiners for a monopulse comparator network while providing dual-polarized performance comparable to the full dual-polarized sum and difference channel monopulse scheme. The concept of the proposed antenna is shown in a conceptual design by computer simulation. The monopulse feed is designed first, and then combined with a parabolic reflector. The designed monopulse reflector antenna operates at 14.5–16.0 GHz, and shows excellent sum and difference pattern characteristics: 36.1–36.7 dBc sum channel directivity with 0.65 dB boresight axial ratio and 32.6–32.9 dBi difference channel directivity with 1.56–1.66° crossover angle.

Dual-Mode Conical Horn Antenna with 2-D Azimuthal Monopulse Pattern for Millimeter-Wave Applications

“…Table 1 presents a comparison between the results achieved by the proposed antenna and those obtained in other state-of-the-art works within the same k a frequency band (27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40). The introduction of a fully metallic antenna showcases commendable directivity, particularly when considering its compact size (4.84 λ 0 × 4.84 λ 0 × 13.9 λ 0 ).…”

“…Therefore, based on all the above explained information, the simulation and measurement results show an excellent match, demonstrating the suitability of the proposed novel antenna concept. Table 1 presents a comparison between the results achieved by the proposed antenna and those obtained in other state-of-the-art works within the same 𝑘 frequency band (27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40). The introduction of a fully metallic antenna showcases commendable directivity, particularly when considering its compact size (4.84 𝜆 × 4.84 𝜆 × 13.9 𝜆 ).…”

“…On-board satellite antenna systems, in which a broader frequency band is required, are mostly implemented with 3D systems, mainly composed of a single directive horn antenna [12,13] in the radiating part (adding a reflector structure if higher gain is required [29][30][31]) and metallic waveguide devices in the feeding part. In these single antenna systems, the monopulse performance can only be achieved with dual (or multi-) mode networks by means of two main topologies: multimode segmented (generally four) waveguides with different phase sector combinations to generate the sum Σ and the difference ∆ patterns [32][33][34][35], or non-segmented waveguides with several (at least two) mode excitation circuits (mode converters) to generate the monopulse pattern [36][37][38].…”

Investigation of the Distribution Problem in the Operating State of an Electromagnetic Railgun: Radio Fuse Disturbance, Field Characteristics, and Susceptible

“…The function of the coaxial line is to output interference signal voltage pulses obtained through coupling as a terminal. Therefore, it is not a simple coaxial device, but a waveguide coaxial converter [19,20] that needs to be designed. The converter has various forms, and we choose a more common probe-type converter, designed to probe the inner core of the coaxial line to a certain depth inside the waveguide and guide the signal inside the waveguide to the coaxial end face.…”

A LSSVR Interactive Network for AUV Motion Control

“…Autonomous underwater vehicles are mostly powered by lithium batteries, and when equipped with apparatuses and devices, they can conduct continuous cruise and autonomous operations within a wide area. The advancements of numerical calculation [1], computer simulation [2], data mining [3,4], system identification [5], machine learning [6], intelligent control [7] and artificial intelligence technology [8] have brought significant breakthroughs to the domain of underwater vehicles. AUVs are becoming increasingly important in operations where equipment and divers have difficulties to complete, for example, dam detection [9], detection of wrecked ships or aircraft [10], undersea pipeline service [11], exploitation of submarine resources [12,13], submarine cable maintenance [14] and submarine three-dimensional terrain mapping [15], etc.…”