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arXiv · 0802.1785

Near ML detection using Dijkstra's algorithm with bounded list size over MIMO channels

Atsushi Okawado·Ryutaroh Matsumoto·Tomohiko Uyematsu
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Abstract

We propose Dijkstra's algorithm with bounded list size after QR decomposition for decreasing the computational complexity of near maximum-likelihood (ML) detection of signals over multiple-input-multiple-output (MIMO) channels. After that, we compare the performances of proposed algorithm, QR decomposition M-algorithm (QRD-MLD), and its improvement. When the list size is set to achieve the almost same symbol error rate (SER) as the QRD-MLD, the proposed algorithm has smaller average computational complexity.

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Atsushi Okawado, Ryutaroh Matsumoto, Tomohiko Uyematsu. 2008-02-13. Near ML detection using Dijkstra's algorithm with bounded list size over MIMO channels. https://doi.org/10.1109/isit.2008.4595344

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