Projects per year
In this paper we propose and analyze a method for downsampling discrete Fourier transform (DFT) precoded signals. Since the symbols (in frequency) are in the constellation set, which is a subset of the entire complex plane, it is possible to detect N symbols from the DFT precoded signal when transmitting M < N symbols, whereM is not too small. We build our analysis on so-called simple vectors, and show that it is possible to detect in the noise-less case with high probability down to approximately M ≥ N/4 for BPSK and M ≥ N/2 for QPSK. We develop extensions from the noise-less to the noisy case, and propose two different detectors for the AWGN channel. Simulations show that using the two proposed detectors in the AWGN channel, we observe empirically a phase transition at M ≈ N/2 for QPSK. Further, it is shown how downsampled QPSK signals can achieve the same BER and data rate as 8PSK at a lower signal-to-noise-ratio per information bit.
|Title of host publication||Proceedings of the 12th IEEE International Symposium on Signal Processing and Information Technology|
|Number of pages||6|
|Publication status||Published - 2012|
|Event||IEEE International Symposium on Signal Processing and Information Technology - Ho Chi Minh City, Viet Nam|
Duration: 12 Dec 2012 → 15 Dec 2012
|Conference||IEEE International Symposium on Signal Processing and Information Technology|
|City||Ho Chi Minh City|
|Period||12/12/2012 → 15/12/2012|
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- 2 Finished
PhD project: Compressive Sensing in Communication Systems
Fyhn, K., Larsen, T. & Jensen, S. H.
01/08/2010 → 31/07/2013
SparSig: Sparse Signal Processing in Wireless Communications
Larsen, T., Jensen, S. H., Arildsen, T., Fyhn, K., Pankiewicz, P. J., Li, P. & Jensen, T.
01/01/2010 → 27/09/2013