New super‐orthogonal space‐time trellis codes with 32QAM and two transmit antennas for five bits per signalling interval

Sterian, Corneliu Eugen D.; Linga, Srujan; Singh, Harvinder; Pätzold, Matthias

doi:10.1002/ett.1136

Cited by 7 publications

(5 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To decode the space‐frequency code, the Viterbi algorithm is applied as in . More precisely, the branch metric B M n for two receive antennas is given as

\begin{matrix} B M_{n} & = {|R_{2 n}^{(1)} - h_{n}^{(1, 1)} \cdot s_{2 n} + a_{n} \cdot h_{n}^{(1, 2)} \cdot s_{2 n + 1}^{*}|}^{2} \\ + {|R_{2 n + 1}^{(1)} - h_{n}^{(1, 1)} \cdot s_{2 n + 1} - a_{n} \cdot h_{n}^{(1, 2)} \cdot s_{2 n}^{*}|}^{2} \\ + {|R_{2 n}^{(2)} - h_{n}^{(2, 1)} \cdot s_{2 n} + a_{n} \cdot h_{n}^{(2, 2)} \cdot s_{2 n + 1}^{*}|}^{2} \\ + |R_{2 n + 1}^{(2)} - h_{n}^{(2, 1)} \cdot s_{2 n + 1} - a_{n} \cdot h_{n}^{}| \end{matrix}

…”

Section: Receiver Issuesmentioning

confidence: 99%

“…Several space-time and space-frequency coded schemes are proposed and analysed in [17][18][19]. The theory of superorthogonal space-time trellis coding for QAM is described in [12,13,20].…”

Section: Super-orthogonal Space-time Trellis Codingmentioning

confidence: 99%

“…To decode the space-frequency code, the Viterbi algorithm is applied as in [12,13]. More precisely, the branch metric BM n for two receive antennas is given as…”

Section: Receiver Of the New Systemmentioning

confidence: 99%

“…Note that this grouping has the advantage that the 4D subsets are invariant under the rotation of the signal constellation by all integer multiples of 90°, what greatly simplifies the selection procedure .…”

Section: Wireless Transmission Chainmentioning

confidence: 99%

“…This allows us to apply the technique to multiple transmit antennas systems by reducing the peak‐to‐average power ratio (PAPR) of the frame transmitted by the first antenna; the reduction is then inherently performed for the frames transmitted by the other transmit antennas. We apply super‐orthogonal space‐time trellis coding as described in .…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Combining super‐orthogonal space‐frequency trellis coding, constellation shaping by shell mapping, and OFDM for high data rate broadband mobile communications

Vlădeanu

Bănică

Hogstad

et al. 2014

Trans. Emerging Tel. Tech.

Self Cite

View full text Add to dashboard Cite

In this paper, we seamlessly combine three transmission techniques to design an improved performance broadband mobile communication system with two transmit antennas. In so doing, we took inspiration from the V.34 data modem toolbox designed for public switched telephone network. We modified the constellation shaping by shell mapping algorithm to apply it only to the orthogonal frequency division multiplexing (OFDM) frame sent by the first antenna, in such a way that the peak‐to‐average power ratio (PAPR) is also reduced for the second antenna. We use a 24‐point quadrature amplitude modulation (QAM) signal constellation on each subcarrier, while the reference system employs 16 QAM for the same data rate. The 24 QAM constellation is partitioned into four subsets and six rings of four two‐dimensional points each. Two adjacent OFDM frequencies form with the symbols transmitted on them the entries of a 2 × 2 matrix similar to Alamouti's scheme. Two rings corresponding to adjacent OFDM frequencies form a super‐ring. The constellation shaping algorithm is applied to shells made up of super‐rings instead of rings as usual. Super‐orthogonal space‐frequency trellis coding is used on pairs of subcarriers. The proposed system was simulated using two channel models, and the performance was evaluated against the uncoded OFDM reference system. It has both reduced PAPR, and better bit error rate and frame error rate performances. Copyright © 2014 John Wiley & Sons, Ltd.

show abstract

“…To decode the space‐frequency code, the Viterbi algorithm is applied as in . More precisely, the branch metric B M n for two receive antennas is given as

\begin{matrix} B M_{n} & = {|R_{2 n}^{(1)} - h_{n}^{(1, 1)} \cdot s_{2 n} + a_{n} \cdot h_{n}^{(1, 2)} \cdot s_{2 n + 1}^{*}|}^{2} \\ + {|R_{2 n + 1}^{(1)} - h_{n}^{(1, 1)} \cdot s_{2 n + 1} - a_{n} \cdot h_{n}^{(1, 2)} \cdot s_{2 n}^{*}|}^{2} \\ + {|R_{2 n}^{(2)} - h_{n}^{(2, 1)} \cdot s_{2 n} + a_{n} \cdot h_{n}^{(2, 2)} \cdot s_{2 n + 1}^{*}|}^{2} \\ + |R_{2 n + 1}^{(2)} - h_{n}^{(2, 1)} \cdot s_{2 n + 1} - a_{n} \cdot h_{n}^{}| \end{matrix}

…”

Section: Receiver Issuesmentioning

confidence: 99%

“…Several space-time and space-frequency coded schemes are proposed and analysed in [17][18][19]. The theory of superorthogonal space-time trellis coding for QAM is described in [12,13,20].…”

Section: Super-orthogonal Space-time Trellis Codingmentioning

confidence: 99%

“…To decode the space-frequency code, the Viterbi algorithm is applied as in [12,13]. More precisely, the branch metric BM n for two receive antennas is given as…”

Section: Receiver Of the New Systemmentioning

confidence: 99%

Section: Wireless Transmission Chainmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations