Adaptive power spectral estimation using distributed wireless sensor networks

In this paper, we propose three different algorithms capable of facing spatio-temporal variations for parametric modeling and power spectral density (PSD) estimation using Wireless Sensor Networks (WSNs). To do this, we first validate the proposed algorithms using theoretical and mathematical formulations. Afterwards, employing simulation tasks supports the results. In the next compartment of the paper to illustrate the concepts, we analyze and compare the performance of these algorithms with each other and with simple PSD estimation using individual sensors, wherein there is no cooperation.

[1]  Ali H. Sayed,et al.  Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis , 2008, IEEE Transactions on Signal Processing.

[2]  Ali H. Sayed,et al.  Distributed Adaptive Incremental Strategies: Formulation and Performance Analysis , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[3]  W. M. Carey,et al.  Digital spectral analysis: with applications , 1986 .

[4]  A.H. Sayed,et al.  Distributed Recursive Least-Squares Strategies Over Adaptive Networks , 2006, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.

[5]  H.C. Papadopoulos,et al.  Locally constructed algorithms for distributed computations in ad-hoc networks , 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.

[6]  Wei Xing Zheng.  Adaptive parameter estimation of autoregressive signals from noisy observations , 1998, ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344).

[7]  G. Yule.  On a Method of Investigating Periodicities in Disturbed Series, with Special Reference to Wolfer's Sunspot Numbers , 1927 .

[8]  J.N. Tsitsiklis,et al.  Convergence in Multiagent Coordination, Consensus, and Flocking , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[9]  K. J. Ray Liu,et al.  Distributed Adaptive Learning Mechanisms , 2009 .

[10]  Yu Hen Hu,et al.  Vehicle classification in distributed sensor networks , 2004, J. Parallel Distributed Comput..

[11]  Ali H. Sayed,et al.  Diffusion Adaptation over Networks , 2012, ArXiv.

[12]  V. Ramachandran,et al.  Distributed classification of Gaussian space-time sources in wireless sensor networks , 2004, IEEE Journal on Selected Areas in Communications.

[13]  Ali H. Sayed,et al.  Incremental Adaptive Strategies Over Distributed Networks , 2007, IEEE Transactions on Signal Processing.

[14]  C. G. Lopes,et al.  A diffusion rls scheme for distributed estimation over adaptive networks , 2007, 2007 IEEE 8th Workshop on Signal Processing Advances in Wireless Communications.