Algorithms for interpolation-based QR decomposition in MIMO-OFDM systems
Davide Cescato and Helmut Bölcskei
IEEE Transactions on Signal Processing, Vol. 59, No. 4, pp. 1719-1733, Apr. 2011
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Detection algorithms for multiple-input multiple-output
(MIMO) wireless systems based on orthogonal frequency-division
multiplexing (OFDM) typically require the computation
of a QR decomposition for each of the data-carrying OFDM
tones. The resulting computational complexity will, in general,
be significant. Motivated by the fact that the channel matrices
arising in MIMO-OFDM systems result from oversampling of
a polynomial matrix, we formulate interpolation-based QR decomposition
algorithms. An in-depth complexity analysis, based
on a metric relevant for very large scale integration (VLSI)
implementations, shows that the proposed algorithms, for a sufficiently
large number of data-carrying tones and sufficiently small
channel order, provably exhibit significantly smaller complexity
than brute-force per-tone QR decomposition.
Interpolation, polynomial matrices, multiple-input multiple-output (MIMO) systems, orthogonal frequency-division multiplexing (OFDM), QR decomposition, sphere decoding, successive cancelation, very large scale integration (VLSI)
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