24 October 1997 Random array processing for micromachined sensor network
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This paper considers 'blind beamforming' operations on a wireless network of randomly distributed MEM sensors. Maximum power collection criterion is proposed and results in array weights obtained from the eigenvector corresponding to largest eigenvalue of a matrix eigenvalue problem. Theoretical justification of this approach to an extension of Szego's asymptotic distribution of eigenvalues is provided. Numerical results on propagation time delay estimation and loss of coherency due to propagation disturbances are presented.
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Kung Yao, Kung Yao, C. W. Reed, C. W. Reed, Ralph E. Hudson, Ralph E. Hudson, Flavio Lorenzelli, Flavio Lorenzelli, } "Random array processing for micromachined sensor network", Proc. SPIE 3162, Advanced Signal Processing: Algorithms, Architectures, and Implementations VII, (24 October 1997); doi: 10.1117/12.279488; https://doi.org/10.1117/12.279488


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