Modified Particle Filtering Algorithm for Single Acoustic Vector Sensor DOA Tracking

Modified Particle Filtering Algorithm for Single Acoustic Vector Sensor DOA Tracking

The conventional direction of arrival (DOA) estimation algorithm with static sources assumption usually estimates the source angles of two adjacent moments independently and the correlation of the moments is not considered. In this article, we focus on the DOA estimation of moving sources and a modified particle filtering (MPF) algorithm is proposed with state space model of single acoustic vec...

A distributed particle filtering approach for multiple acoustic source tracking using an acoustic vector sensor network

Particle Filtering Methods for Acoustic Source Localisation and Tracking

The task of acoustic source tracking plays an important role in many practical speech acquisition systems. This research presents an extensive study of sequential Monte Carlo methods applied to the source localisation problem, based on the signals received at an array of microphones. A general framework for acoustic source localisation using particle filtering is proposed, and four different al...

Particle Filtering for Multi-target Tracking and Sensor Management

Warning System for Landslides through Modified Particle Filtering Algorithm

To prevent the pilgrims or local people before falling of landslides we create an alert system for it by using modified particle filtering algorithm.in this we detect the change in position and velocity in the video image of rocks of mountain using modified particle filtering algorithm by tracking the movement of particles by using its likelihoods.