TR2011-030

Order-Extended Sparse RLS Algorithm for Doubly-Selective MIMO Channel Estimation


    •  Koike-Akino, T.; Molisch, A.F.; Annavajjala, R.; Orlik, P.; Pun, M.-O., "Order-Extended Sparse RLS Algorithm for Doubly-Selective MIMO Channel Estimation", IEEE International Conference on Communications (ICC), DOI: 10.1109/ICC.2011.5963228, June 2011, pp. 1-6.
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      • @inproceedings{Koike-Akino2011jun3,
      • author = {Koike-Akino, T. and Molisch, A.F. and Annavajjala, R. and Orlik, P. and Pun, M.-O.},
      • title = {Order-Extended Sparse RLS Algorithm for Doubly-Selective MIMO Channel Estimation},
      • booktitle = {IEEE International Conference on Communications (ICC)},
      • year = 2011,
      • pages = {1--6},
      • month = jun,
      • doi = {10.1109/ICC.2011.5963228},
      • url = {http://www.merl.com/publications/TR2011-030}
      • }
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  • Research Areas:

    Electronics & Communications, Wireless Communications


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We develop a recursive least squares (RLS) algorithm which employs L1-Lq regularized sparse regressions to estimate a sparse channel matrix in frequency time selective fading for multi output (MIMO) wireless communications. We propose an improved sparse RLS by using an order extension technique for rapid fading channels. Simulation results demonstrate that the proposed sparse RLS algorithm offers a significant improvement over the conventional RLS algorithm.