Wireless sensor network for multi-target detection algorithm based on blind source separation
by Pengju He; Xiaomeng Chen; Huazhi Zeng
International Journal of Security and Networks (IJSN), Vol. 11, No. 4, 2016

Abstract: Detecting multi-target using wireless sensor network is a research hotspot in recent years, and it has broad application prospect. Aiming at the problem that signal mixture exists in wireless sensor networks for multi-target detection, this paper proposed a blind source separation (BSS) algorithm to process mixed signal. The algorithm took detected multi-channel signal as research object. The number of sources in signals was determined utilising eigenvalue method firstly, transforming over-determined BSS into well-posed. Then separation of signals was achieved using non-negative matrix factorisation (NMF). Experiments utilised four channel man-made signals and two speeches separately to validate the proposed algorithm. Results showed presented algorithm could determine the number of sources in multi-channel signals and it can be used to solve signal mixture problem in multi-target detection.

Online publication date: Mon, 26-Sep-2016

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 Security and Networks (IJSN):
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