Sensor layout optimization using genetic algorithm for sniper localization systems

Doğan, Emir
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.
Citation Formats
E. Doğan, “Sensor layout optimization using genetic algorithm for sniper localization systems,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Electrical and Electronics Engineering., Middle East Technical University, 2019.