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All Journal Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC)
Denny Dermawan
Institut Teknologi Dirgantara Adisutjipto
Aerospace Engineering Computer Science & IT Electrical & Electronics Engineering Engineering

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Radio Transmission Detection Using Doppler in UHF Frequency Band Bambang Sudibya; Denny Dermawan; Muhammad Jalu Purnomo; Mardiana Irawaty
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 4, No 1 (2022): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v4i1.1185

Abstract

The direction finder of a radio transmitter is a device that functions to find and determine the direction of a radio transmitter that works in the Ultra High Frequency (UHF) band. UHF frequency used is in the range of 420 - 440 MHz. The concept of Doppler radio is used as a method to determine the direction a radio transmitter is located. Radio Doppler use four receiving antennas which are installed at a certain distance so that it can produce a difference in frequency (Doppler) on each radio antenna because of the difference in the angle of the detected signal. The direction of the incoming signal will be displayed on a set of 16 LEDs and each LED will represent the direction of the incoming angle of 22.5 degrees. The detected frequencies are 422,580 MHz and 429,980 MHz originating from the UHF transmitter with 100mW of power and amplified with a radio frequency amplifier of 3 Watts power. The results show that the frequency of 429,980 MHz was detected with a maximum detectable distance of 1500 meters. The frequency of 422,580 can be detected with a maximum distance of 800 meters. This radio direction finder is can be used to find radio signal in UHF band frequency 420-440 MHz. The direction of the radio transmitter location is simply show in group of led’s as a direction detector. 
Rancang Bangun Visual Docking Guidance System (VDGS) Sebagai Pendeteksi Arah Gerak Longitudinal Pesawat Pada Sistem Parkir Pesawat Terbang Denny Dermawan; Paulus Setiawan; Agus Basukesti; Riski Nur Muhammad
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 3, No 2 (2021): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v3i2.910

Abstract

The growth of air transportation and technological developments is getting faster every year. This causes airport services to exceed the ability to provide facilities to meet growth adequately. In this case, it cannot be denied that there are always undesirable things that happen unexpectedly such as airplane accidents which are not only always in the air when flying, there are also many cases of plane accidents at the ground whether it's at the landing or parking process. Therefore, a Visual Docking Guidance System (VDGS) tool was designed using the TF Mini LiDAR sensor and programmed for the aircraft parking system at the airport to identify and guide pilots to find the right position when parking. This tool is able to give guidance information on the aircraft position.  A <<<< sign that is, the plane must move to the left, the >>>> sign, the plane must move to the right and the // \\ sign as an indicator the aircraft is in the middle position of parking stand. The results showed that the Visual Docking Guidance System (VDGS) using the LiDAR sensor with a distance specification of 10m is a fairly good level of accuracy and the error obtained from testing the distance measurement tool and actual distance has an error of 0-0,7368% with an average error of 0.0972%.
Data Fusion for Displacement Estimation and Tracking of UAV Quadrotor in Dynamic Motion Lasmadi Lasmadi; Denny Dermawan; Muhamad Jalu Purnomo
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 5, No 2 (2023): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v5i2.1758

Abstract

The fusion of MIMU and GPS data is generally used to estimate the displacement and tracking of quadrotor UAVs. Meanwhile, displacement estimation inaccuracies during dynamic motion often occur. This error is caused by noise and limited sensor sampling rate especially occurs when the quadrotor changes its attitude rapidly to generate an instantaneous horizontal force. This paper proposes data fusion based on Kalman filter to estimate orientation and displacement. Experiments were also carried out to verify displacement accuracy, i.e. in single-axis and multi-axis sensor motions. The algorithm combines data from MIMU and GPS sensors so that acceleration data is filled in points where GPS data is not available. With this method, the predicted displacement from the MIMU sensor can be corrected every second with data from the GPS and produce accurate displacement and trajectory estimates.
Co-Authors Agus Basukesti Bambang Sudibya Irawaty, Mardiana Lasmadi Lasmadi Muhamad Jalu Purnomo, Muhamad Jalu Muhammad Jalu Purnomo Riski Nur Muhammad Setiawan, Paulus