Sensor fusion, sensitivity analysis and calibration in shooter localization systems

2018-03-01
Akman, Caglar
Sonmez, Tolga
Ozugur, Ozgur
Basil, Abdil Burak
Leblebicioğlu, Mehmet Kemal
This paper analyses the principles and the underlying mathematical model for acoustic based shooter detection systems. These systems use the muzzle blast and acoustic shock waves to compute the shooter's location. Our detection system works on a distributed sensor network where microphone arrays are used as sensors. Detection algorithms run concurrently at each node. After determining the wave directions, the information is passed to the central node. The central node fuses data coming from each sensor with our optimization algorithm. For correct georeferenced fusion, GPS, accelerometer and magnetometer data are used. A mathematical framework of the problem with possible node outputs has been developed in this study. Our framework supports all possible combinations of muzzle blast and shockwave measurements at each sensor node. The simulation for various scenarios has been performed and analyzed. Imperfections in the placements of microphones within the arrays, uncertainty of sensor locations and time uncertainty in time of arrival estimations are investigated as regards to their effect on system performance. In order to analyze the effect of these imperfections on the calculated shooter position, shooter's relative direction and bullet direction, a detailed sensitivity analysis has been done. A system calibration method has been developed in this study to reduce imperfections and enhance the shooter localization performance. In addition, acoustic-based shooter localization hardware has been designed within the study. The study involves not only the simulation but also the results of real tests.
SENSORS AND ACTUATORS A-PHYSICAL

Suggestions

Electromagnetic Target Classification using time frequency analysis and neural networks
Sayan, Gönül; Leblebicioğlu, Mehmet Kemal (Wiley, 1999-04-01)
This paper demonstrates the feasibility and advantages of using a self-organizing map (SOM)-type neural network classifier for electromagnetic target recognition. The classifier is supported by a novel feature extraction unit in which the Wigner distribution (WD), a time-frequency representation, is utilized for the extraction of natural-resonance-related energy feature vectors from scattered fields. The proposed target classification technique is tested for a set of canonical targets, displaying an excelle...
Multipath Characteristics of Frequency Diverse Arrays Over a Ground Plane
Cetintepe, Cagri; Demir, Şimşek (Institute of Electrical and Electronics Engineers (IEEE), 2014-07-01)
This paper presents a theoretical framework for an analytical investigation of multipath characteristics of frequency diverse arrays (FDAs), a task which is attempted for the first time in the open literature. In particular, transmitted field expressions are formulated for an FDA over a perfectly conducting ground plane first in a general analytical form, and these expressions are later simplified under reasonable assumptions. Developed formulation is then applied to a uniform, linear, continuous-wave opera...
Phonon dispersions and elastic constants of disordered Pd-Ni alloys
Kart, SO; Tomak, Mehmet; Cagin, T (Elsevier BV, 2005-01-31)
Phonon frequencies of Pd-Ni alloys are calculated by molecular dynamics (MD) simulation. Lattice dynamical properties computed from Sutton-Chen (SC) and quantum Sutton-Chen (Q-SC) potentials as a function of temperature are compared with each other. We present all interatomic force constants up to the 8th nearest-neighbor shell obtained by using the calculated potential. Elastic constants evaluated by two methods are consistent with each other. The transferability of the potential is also tested. The result...
RC Performance Evaluation of Interconnect Architecture Options Beyond the 10-nm Logic Node
Kıncal, Serkan; Abraham, Mathew C.; Schuegraf, Klaus (Institute of Electrical and Electronics Engineers (IEEE), 2014-06-01)
This paper summarizes the findings of an RC performance modeling approach for evaluating various material and architecture options by which interconnect wires are incorporated onto integrated circuits. For the present dual-damascene structure, the grain boundary and surface scattering modes are identified as the top contributors to resistance degradation, along with the cross-sectional area consumed by the liner/barrier layers. Self-forming barriers, a technology that provides direct Cu-insulator interfaces...
Unified theory of linear instability of anisotropic surfaces and interfaces under capillary, electrostatic, and elastostatic forces: The regrowth of epitaxial amorphous silicon
Ogurtani, Tarik Omer (American Physical Society (APS), 2006-10-01)
The first-order unified linear instability analysis (LISA) of the governing equation for the evolution of surfaces and interfaces under capillary, electromigration (EM), and elastostatic forces is developed. A formal treatment of the thermomigration (Soret effect) driven by the nonuniform temperature distribution caused by exothermic phase transformation (growth) at the surface and interfacial layers is presented and its apparent influence on the capillary force in connection with the stability is also esta...
Citation Formats
C. Akman, T. Sonmez, O. Ozugur, A. B. Basil, and M. K. Leblebicioğlu, “Sensor fusion, sensitivity analysis and calibration in shooter localization systems,” SENSORS AND ACTUATORS A-PHYSICAL, pp. 66–75, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/49142.