2009/03/31 by Georg Tauboeck, Georg Tauböck, Franz Hlawatsch +2 · 2 citations
Computer Science · Engineering · Mathematics · #Advanced Wireless Communication Techniques #Direction-of-Arrival Estimation Techniques #Sparse and Compressive Sensing Techniques #cs.IT #math.IT
paper · pdf · doi:10.1109/jstsp.2010.2042410
published as IEEE J. Sel. Top. Sig. Process., vol. 4, no. 2, pp. 255-271, April 2010 · 18 pages, 6 figures; content is identical to published paper version (in IEEE Journal of Selected Topics in Signal Processing - Special Issue on Compressed Sensing), only format is different; this revision contains substantially new material compared with previous (arXiv) revision, also title and author list have changed
openalex publication_date 2010/03/01 · arxiv created 2010/05/07 · arxiv updated 2010/05/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
We consider the application ofcompressed sensing(CS) to the estimation of doubly selective channels within pulse-shaping multicarrier systems (which include orthogonal frequency-division multiplexing (OFDM) systems as a special case). By exploiting sparsity in the delay-Doppler domain, CS-based channel estimation allows for an increase in spectral efficiency through a reduction of the number of pilot symbols. For combating leakage effects that limit the delay-Doppler sparsity, we propose a sparsity-enhancing basis expansion and a method for optimizing the basis with or without prior statistical information about the channel. We also present an alternative CS-based channel estimator for (potentially) strongly time-frequency dispersive channels, which is capable of estimating the ¿off-diagonal¿ channel coefficients characterizing intersymbol and intercarrier interference (ISI/ICI). For this estimator, we propose a basis construction combining Fourier (exponential) and prolate spheroidal sequences. Simulation results assess the performance gains achieved by the proposed sparsity-enhancing processing techniques and by explicit estimation of ISI/ICI channel coefficients.