ABSTRACT:

Acoustic vector sensor (AVS) measures acoustic pressure as well as particle velocity, and therefore AVS signal contains 2-D (azimuth and elevation) DOA information of an acoustic source. Existing DOA estimation techniques assume that the source is static and extensively rely on the localization methods. In this paper, a particle filtering (PF) tracking approach is developed to estimate the 2-D DOA from signals collected by an AVS. A constant velocity model is employed to model the source dynamics and the likelihood function is derived based on a maximum likelihood estimation of the source amplitude and the noise variance. The posterior Cramér-Rao bound (PCRB) is also derived to provide a lower performance bound for AVS signal based tracking problem. Since PCRB incorporates the information from the source dynamics and measurement models, it is usually lower than traditional Cramér-Rao bound which only employs measurement model information. Experiments show that the proposed PF tracking algorithm significantly outperforms Capon beamforming based localization method and is much closer to the PCRB even in a challenging environment (e.g., SNR = -10 dB).


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :Particle Smoothing for Conditionally Linear Gaussian Models as Message Passing Over Factor Graphs - 2018ABSTRACT:During this Project, the fixed-lag smoothing problem for conditionally linear Gaussian state-space
PROJECT TITLE :Image Reconstruction For Magnetic Particle Imaging Using An Augmented Lagrangian Method - 2017ABSTRACT:Magnetic particle imaging (MPI) could be a comparatively new imaging modality that pictures the spatial distribution
PROJECT TITLE : continuously adaptive data fusion and model relearning for particle filter tracking with multiple features - 2016 ABSTRACT: This paper presents a brand new technique for object tracking in an exceedingly camera
PROJECT TITLE :Optimisation for offshore wind farm cable connection layout using adaptive particle swarm optimisation minimum spanning tree methodABSTRACT:The wind farm layout optimisation downside is similar to the classic mathematical
PROJECT TITLE :2D Images Recorded With a Single-Sided Magnetic Particle Imaging ScannerABSTRACT:Magnetic Particle Imaging is a new medical imaging modality, which detects superparamagnetic iron oxide nanoparticles. The particles

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry