Multi-sensor signal processing on a PSD matrix manifold Conferences

abstract

• We propose to use the power spectral density (PSD) matrices of the received signals of a multi-sensor system as the feature of processing. PSD matrices have structural constraints and they form a manifold in signal space. We introduce two new Riemannian distance (RD) measures on the PSD matrix manifold and developed algorithms to locate the means and medians of PSD matrices in terms of these RD. These concepts are then applied to the detection of narrow-band sonar signals in noise and the results are encouraging.

authors

• Wong, K Max
• Zhang, Jian-Kang
• Jiang, Huiying

status

• published 

publication date

• July 2016

published in

• Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop  Journal

presented at event

• 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)  Conference

keywords

• 40 Engineering
• 46 Information and Computing Sciences
• 4603 Computer Vision and Multimedia Computation

Digital Object Identifier (DOI)

• 10.1109/SAM.2016.7569757

International Standard Book Number (ISBN) 13

• 9781509021031

start page

• 1

end page

• 5

volume

• 2016-September