Carrier signal design using constrained iterative spectral deconvolution

Abolfazl M. Amini

doi:10.1117/12.716095

9 April 2007 Carrier signal design using constrained iterative spectral deconvolution

Abolfazl M. Amini

Proceedings Volume 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V; 65761C (2007) https://doi.org/10.1117/12.716095
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

To avoid interference and achieve spectral effectiveness one needs to calculate the spectra of the surroundings then form the basis function needed for modulation out of the clear portion of the spectrum. The calculation of the spectra over a short time as required for some applications could be problematic. These problems reveal themselves in the form of broadened spectral picks and tall side lobes. The solution to remove broadening effects and the side lobes proposed in this report and tested for some frequencies is the constrained iterative spectral deconvolution. In this report, we will provide the simulation results that indicate one period of the interfering signal is all that is need to successfully remove all side effects resulting from short time domain sampling of the environment.

Citation Download Citation

Abolfazl M. Amini "Carrier signal design using constrained iterative spectral deconvolution", Proc. SPIE 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V, 65761C (9 April 2007); https://doi.org/10.1117/12.716095

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