Micro-Doppler analysis of rotary-wing air vehicles using pulsed-Doppler radar

2018-07-05
Aybar, Bahadir
Yılmaz, Ali Özgür
In this paper, micro-Doppler signatures of rotary-wing unmanned aerial vehicles (UAVs) are investigated in order to classify these air targets, to distinguish them from birds and clutter and to specify their types using experimental data. Radar parameters required for extracting the micro-Doppler signatures of rotary-wing air targets with different blade lengths are studied. Experimental data taken from different targets using a medium Pulse Repetition Frequency (PRF) pulsed-Doppler surveillance radar is analyzed.

Suggestions

Parametric estimation of clutter autocorrelation matrix for ground moving target indication
Kalender, Emre; Tanık, Yalçın; Department of Electrical and Electronics Engineering (2013)
In airborne radar systems with Ground Moving Target Indication (GMTI) mode, it is desired to detect the presence of targets in the interference consisting of noise, ground clutter, and jamming signals. These interference components usually mask the target return signal, such that the detection requires suppression of the interference signals. Space-time adaptive processing is a widely used interference suppression technique which uses temporal and spatial information to eliminate the effects of clutter and ...
Target localization methods for frequency - only MIMO radar
Kalkan, Yılmaz; Baykal, Buyurman; Department of Electrical and Electronics Engineering (2012)
This dissertation is focused on developing the new target localization and the target velocity estimation methods for frequency-only multi-input, multi-output (MIMO) radar systems with widely separated antennas. If the frequency resolutions of the transmitted signals are enough, only the received frequencies and the Doppler shifts can be used to find the position of the target. In order to estimate the position and the velocity of the target, most multistatic radars or radar networks use multiple independen...
Information-Theoretic Feature Selection for Human Micro-Doppler Signature Classification
Tekeli, Burkan; Gurbuz, Sevgi Zubeyde; Yüksel Turgut, Ayşe Melda (2016-05-01)
Micro-Doppler signatures can be used not only to recognize different targets, such as vehicles, helicopters, animals, and people, but also to classify varying activities, e.g., walking, running, creeping, and crawling. For this purpose, a plethora of features have been proposed in the literature; however, dozens of features are not required to achieve high classification performance. The topic of feature selection has been under addressed in micro-Doppler studies. Moreover, the optimal feature set is not st...
Investigation of Simulated Ground Penetrating Radar Data for Buried Objects Using Quadratic Time-Frequency Transformations
DOĞAN, MESUT; Sayan, Gönül (2017-07-14)
Sub-surface sensing is a challenging area of research that highly benefits from the use of ultra-wideband ground penetrating radar (GPR) technology. Detection and classification of buried objects with reduced false alarm rates is still open to improvements. Use of joint temporal and spectral target features obtained from electromagnetic GPR signals using time-frequency representation (TFR) methods is highly promising because TFRs provide detailed information about the energy distribution of GPR signals over...
Biobjective route planning of an unmanned air vehicle in continuous space
TEZCANER ÖZTÜRK, DİCLEHAN; Köksalan, Mustafa Murat (2023-02-01)
We consider the route planning problem of an unmanned air vehicle (UAV) in a continuous space that is monitored by radars. The UAV visits multiple targets and returns to the base. The routes are constructed considering the total distance traveled and the total radar detection threat objectives. The UAV is capable of moving to any point in the terrain. This leads to infinitely many efficient trajectories between target pairs and infinitely many efficient routes to visit all targets. We use a two stage approa...
Citation Formats
B. Aybar and A. Ö. Yılmaz, “Micro-Doppler analysis of rotary-wing air vehicles using pulsed-Doppler radar,” 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46498.