Atış yeri tespit sistemleri için genetik algoritma kullanarak sensör yerleşim optimizasyonu.


Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü, Türkiye

Tezin Onay Tarihi: 2019

Öğrenci: Emir Doğan

Danışman: TOLGA ÇİLOĞLU

Özet:

This thesis proposes sensor layout optimization for a sniper localization system based on acoustic signatures of firearms such as ballistic shockwave and muzzle blast. This thesis consists of three main parts as sniper localization system simulator, estimation framework, and sensor layout optimization. The simulator provides the sniper localization system outline, transmission model of acoustic signals, muzzle blast, and shockwave modeling. The estimation framework comprises of the direction of arrival estimation using time-domain delay and sum beamforming, the range and the location of the shooter. Sensor layout optimization which minimizes mean squared location error on a bounded region is performed using the genetic algorithm. Then, the performance of the optimized sensor layout and the uniform circular array is compared in terms of the shooter location error.