Sparse waveform design for all-spectrum channelization
George Sklivanitis, Panos P. Markopoulos, Stella N. Batalama, Dimitris A. Pados
Abstract
We introduce maximum-SINR sparse-binary waveforms that modulate data information symbols from any finite alphabet and span the whole continuum of the available/device-accessible spectrum. We offer an optimal algorithm that designs the proposed waveforms by maximizing the signal-to-interference-plus-noise ratio (SINR) at the output of the maximum-SINR linear receiver. In addition, we offer a suboptimal algorithm for the same problem with significantly reduced computational complexity. The post-filtering SINR improvements attained by the proposed waveforms in a single-input single-output (SISO) communication system with colored interference are presented analytically. Simulation studies compare the proposed waveforms with their conventional non-sparse counterparts and demonstrate their superior SINR performance.
BibTeX
@inproceedings{icassp2017_sparsewaveformde,
title = {Sparse waveform design for all-spectrum channelization},
author = {George Sklivanitis and Panos P. Markopoulos and Stella N. Batalama and Dimitris A. Pados},
booktitle = {ICASSP 2017},
year = {2017}
}