Pelacakan Posisi Target Di Udara Pada SPx-Radar-Simulator Menggunakan Algoritma Probabilistic Data Association Filter

Said, Zaidan Adenin (2021) Pelacakan Posisi Target Di Udara Pada SPx-Radar-Simulator Menggunakan Algoritma Probabilistic Data Association Filter. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

Text 07111740000087-Zaidan Adenin Said-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 October 2023. Download (3MB) | Request a copy

Abstract

Radar dapat berfungsi untuk melacak posisi target di udara. Dalam pelacakan posisi target terdapat kendala yaitu ketidakpastian asosiasi data. Untuk mengatasi permasalahan ini digunakan konsep asosiasi data dimana algoritma yang menggunakan konsep ini adalah Probabilistic Data Association Filter (PDAF). Dalam penelitian ini dilakukan pengujian sistem pelacakan posisi target di udara pada radar menggunakan algoritma PDAF. Data yang digunakan berasal dari simulasi berbagai macam gerakan target di udara pada SPx-Radar-Simulator. Pengukuran palsu (false alarm) yang berasal dari gangguan (clutter) dibangkitkan di lingkungan sekitar target. Hasil pengujian sistem pelacakan target yang telah dirancang mampu melacak target dengan baik serta menjaga keadaan pelacakan pada lingkungan yang memiliki clutter meskipun terjadi false alarm dengan jumlah track loss sebesar 0, dan mampu menjaga pelacakan pada dua target yang berdekatan. Perbandingan posisi yang dihitung menggunakan mean absolute error (mae) serta root mean square relatif error (rmsre) antara data asli dan prediksi pada target yang tervalidasi memiliki nilai maksimal error mae terhadap sumbu-X sebesar 0.0365
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Radar can be used for tracking the position of airborne targets. In tracking the target position, there is a problem, namely the uncertainty of data associations. Data association is used to overcome this problem, where the algorithm that uses this concept is the Probabilistic Data
Association Filter (PDAF). In this research, the system of tracking the target's position in the air on the radar is tested using the PDAF algorithm.
The data used comes from simulating various kinds of target motions in the air on the SPx-Radar-Simulator. False alarms originating from clutter are generated in the environment around the target. The test results of the target tracking system that has been designed can track targets well,
maintain tracking conditions in an environment that has clutter even though false alarms occur with a total track loss of 0, and can maintain track on two adjacent targets. The position comparison calculated using the mean absolute error (mae) and the root mean square relative error
(rmsre) between the original data and predictions on a validated target has a maximum value of mae error on the X-axis of 0.0365 NM, the Y-axis of 0.0320 NM, and h is 19.6235 ft and the maximum rmsre to the

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Asosiasi Data, PDAF, Pelacakan Target, Radar, SPx-Radar-Simulator, Data Association, PDAF, Radar, SPx-Radar-Simulator, Target Tracking
Subjects:	T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL725.3.T7 Air traffic control
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Zaidan Adenin Said
Date Deposited:	18 Aug 2021 12:03
Last Modified:	18 Aug 2021 12:03
URI:	http://repository.its.ac.id/id/eprint/87081

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