Source localisation using sparse acoustic vector sensor array
by N. Suresh Kumar; A. Unnikrishnan; C. Bhattacharya
International Journal of Machine Intelligence and Sensory Signal Processing (IJMISSP), Vol. 1, No. 2, 2014

Abstract: This paper addresses the problem of passive source localisation using sparse autonomous underwater vehicle towed array. Any reduction in the sensory signal processing hardware complexity without affecting the acoustic performance significantly improves the endurance capability of the unmanned vehicle. In this paper, we propose a novel sparse acoustic vector sensor (SAVS) array architecture to estimate the direction of arrival (DoA) of multiple acoustic sources. Bearing localisation is effectively achieved by customising the sparse reconstruction pursuit algorithms to suit the SAVS array. The localisation performance of the proposed architecture is analysed and compared with the conventional acoustic pressure sensor (APS) and acoustic vector sensor (AVS)-based array architectures. Theoretical formulation and Monte Carlo simulations for sparse towed array operation in deep ocean is presented. We also develop the expression for the Cramer-Rao bound (CRB) of the variance of DoA for localisation of multiple acoustic sources in generalised Gaussian noise for any AVS array configuration. This proposed architecture enhances the endurance of the vehicle by significantly reducing the number of acoustic sensors, signal conditioning hardware, transmission data rate, number of snapshots and software complexity.

Online publication date: Sat, 15-Nov-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Machine Intelligence and Sensory Signal Processing (IJMISSP):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com