Sampling of Sparse Channels with Common Support

The present paper proposes and studies an algorithm to estimate chan- nels with a sparse common support (SCS). It is a generalization of the classical sampling of signals with Finite Rate of Innovation (FRI) and thus called SCS-FRI. It is applicable to OFDM and Walsh- Hadamard coded (CDMA downlink) communications since SCS-FRI is shown to work not only on contiguous DFT pilots but also uniformly scattered ones. The support estimation performances compare favorably to theoretical lower-bounds, and importantly this translates into a sub- stantial equalization gain at the receiver compared to the widely used spectrum lowpass interpolation method.


Presented at:
9th International Conference on Sampling Theory and Applications, Singapore, May 2-6, 2011
Year:
2011
Keywords:
Note:
invited paper
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 Record created 2011-01-18, last modified 2018-03-17

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