Consistent DOA estimation of heavily noisy gunshot signals using a microphone array
Angelo M.C.R. Borzino, José A. Apolinário, Marcello L. R. de Campos · IET Radar Sonar & Navigation · 2016
Direction of arrival (DOA) estimation of a gunshot is an important issue in shooter localisation. As the distance between the firing position and the sensor array increases, the signal‐to‐noise ratio decreases, which degrades the accuracy of the DOA estimation. Strong noise may lead to false peaks in cross‐correlation functions, which may result in spurious time difference of arrival (TDOA) estimates and hence spurious DOA estimates. The proposed gunshot DOA estimation algorithm [exhaustive search‐searching consistent fundamental loop (ES‐SCFL)] reduces this problem by combining the methods of standard estimation, ES, and SCFL. The ES‐SCFL method looks for the best set of microphone pairs and the correct peaks of their cross‐correlation functions, and uses the time lags of these peaks as the TDOA estimates for DOA estimation. The performance of the proposed algorithm is evaluated using real gunshot data recorded from a field experiment.