No abstract

No abstract

This paper focuses on the design of a novel automatic-dependent surveillance-broadcast (ADS-B) patch antenna operating at 1090 MHz with good bandwidth and good gain for aircraft tracking and navigation purposes. The structure of the proposed antenna consists of a long strip line ended by a crescent patch, a U-shaped ground plane, and a rectangular substrate. The proposed antenna is simulated using both HFSS and CST electromagnetic simulators. The overall dimensions of the antenna are 130 × 26 × 1.6 mm 3 , and is fabricated on a low-cost FR-4 epoxy substrate. Various parameters are determined and analyzed to evaluate the antenna performance in terms of reflection coefficient, impedance bandwidth, radiation pattern, gain, and efficiency. It has been verified and tested that the simulated results are in very good agreement with the measured ones. At the desired frequency of 1090 MHz, the ADS-B patch antenna has a gain of 2.23 dBi and a measured impedance bandwidth at −10 dB of 200 MHz. The antenna has an omnidirectional radiation pattern, which will allow the antenna to pick up ADS-B signals broadcasted by aircraft in all directions.An ADS-B system has been built and validated using aircraft data provided by the Flightradar platform.

In this paper, we are interested to design a compact single band PIFA antenna using the artificial neural networks (ANN) based on the multilayer perceptrons (MLP). The designed antenna will operate at the frequency 2.45 GHz for ISM (Industrial, Scientific and Medical) band, the medical field, the mobile phone,the Wi-Fi and the Bluetooth. The absence of mathematical models that takes into account all the parameters that affect the characteristics of these antennas present a difficulty in the design of this type of antennas. In this paper, our main contribution is the development of a synthesis and analysis model for PIFA antenna based on the artificial neural network method. For this reasons, we have developed a model of the neural network based on the multilayer perceptron to predict the resonance frequency and the bandwidth of a single band PIFA antenna. By applying the same method, we managed to find a multilayer perceptron structure that can accurately predict the dimensions of the PIFA single band antenna. Using the HFSS software, we designed the single band PIFA antenna that can operate at the frequency 2.45 GHz and presents a bandwidth at -10dB equal 1.0552 GHz, a good reflection coefficient ( −51 dB), the gain is 6.5867 dB.

No abstract