| Paper: | SPCOM-L8.6 | ||
| Session: | MIMO STC and Decoding | ||
| Time: | Friday, May 19, 18:10 - 18:30 | ||
| Presentation: | Lecture | ||
| Topic: | Signal Processing for Communication: Signal detection, estimation, separation and equalization | ||
| Title: | Maximum-Likelihood Noncoherent Lattice Decoding of QAM | ||
| Authors: | Daniel Ryan, University of Sydney, Australia; Iain Collings, CSIRO ICT Centre, Australia; Vaughan Clarkson, University of Queensland, Australia | ||
| Abstract: | We present a novel, maximum-likelihood (ML), lattice-decoding algorithm for noncoherent block detection of QAM signals. The computational complexity is polynomial in the block length; making it feasible for implementation compared with the exhaustive search ML detector. The algorithm works by enumerating the nearest neighbor regions for a plane defined by the received vector; in a conceptually similar manner to sphere decoding. Simulations show that the new algorithm significantly outperforms existing approaches. | ||
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