Title :
Distributed spectrum estimation in sensor networks
Author :
Jahromi, Omid ; Aarabi, Parham
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Abstract :
This paper considers the problem of fusing the statistical information gained by a distributed network of sensors. We formulate the problem as a convex feasibility problem, that is, finding a point in the intersection of finitely many closed convex sets. We then present a distributed optimization algorithm to solve the problem.
Keywords :
convex programming; distributed sensors; optimisation; sensor fusion; set theory; statistics; convex feasibility problem; distributed optimization algorithm; distributed sensor networks; distributed spectrum estimation; finitely many closed convex set intersections; statistical information fusing; Acoustic sensors; Frequency estimation; Intelligent networks; Laboratories; Large-scale systems; Microphones; Signal processing; Signal processing algorithms; Signal sampling; Spectral analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326678
