Loading...

Compressive sensing-based pilot design for sparse channel estimation in OFDM systems

Mohammadian, R ; Sharif University of Technology | 2017

599 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/LCOMM.2016.2613086
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2017
  4. Abstract:
  5. We consider the deterministic pilot design problem for sparse channel estimation in an Orthogonal Frequency Division Multiplexing (OFDM) system. Our design is based on minimizing the coherence measure of the Fourier submatrix associated with the pilot subcarriers. This is done by optimizing over both pilot locations and pilot powers. As finding such global minimizer is a combinatorial problem, we resort to a greedy pilot allocation method. The resulting method achieves a suboptimal solution in a sequential manner and with reasonable computational complexity. Simulation results demonstrate that the proposed scheme performs similar to the existing methods with significantly lower computational complexity. © 1997-2012 IEEE
  6. Keywords:
  7. Compressive sensing ; Deterministic pilot design ; OFDM ; Sparse channel estimation ; Compressed sensing ; Computational complexity ; Frequency division multiplexing ; Frequency estimation ; Orthogonal frequency division multiplexing ; Signal reconstruction ; Allocation methods ; Combinatorial problem ; Orthogonal frequency division multiplexing systems ; Pilot design ; Sequential manners ; Sparse channel estimations ; Suboptimal solution ; Channel estimation
  8. Source: IEEE Communications Letters ; Volume 21, Issue 1 , 2017 , Pages 4-7 ; 10897798 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/7575690