On Understanding of Optimal Joint Transmit-receive Diversity from Eigenmode Beamforming in Correlated Fading Channels

Adachi, Fumiyuki; Takahashi, Ryo

doi:10.1109/apcc49754.2021.9609817

Cited by 4 publications

(2 citation statements)

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“…and its complexity analysis is detailed as follows. Proposed decorrelator Rx2 Decorrelator [16,22] Rx2 For each input (b s 1 and b s 2 ), there are two complex additions (X 1 þ jY 1 and X 2 þ jY 2 ), one complex multiplication, and two complex addition with noise (n 1 and n 2 ), totaling five operations.…”

Section: Complexity Analysismentioning

confidence: 99%

“…Also, blind decorrelation schemes or virtual antennas, e.g., discrete Fourier transform (DFT) do not measure signal information, but they require uniform circular receive antenna spacing configurations [12][13][14]. Furthermore, the state-of-the-art decorrelation algorithms in open literature are not unifying when different signal combining techniques are used to combine the decorrelated output signals [15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

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Gain of Spatial Diversity with Conjoint Signals in Arbitrarily Correlated Rayleigh Fading Channels

Omosa,

Akuon,

et al. 2023

Wireless Communications and Mobile Computing

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Coding gains for arbitrarily correlated signals in a spatial diversity system with conjoint signals are presented in this study. The basic form of the proposed signal synthesizer evenly produces phase changes in the output signals. The mixer is an orthogonal transformation matrix, which is energy preserving and blind to the channel correlation matrix. The idea is to synthesize additional conjoint signal copies from the received signals that would be received if there were more antennas. However, these conjoint signals contain a level of correlation with the received signals. With the assumption of flat Rayleigh fading channels, simulation results for symbol error probability (SEP) are presented for different numbers of receive branches and varying correlation conditions. It is shown that under binary phase shift keying (BPSK), the synthesizer achieves decorrelation coding gains of about 1 dB when selection combining (SC) or equal gain combining (EGC) is used. The synthesizer’s performance across M-ary quadrature amplitude modulation (MQAM) signals is also tested. In addition, analytical frameworks are derived for BPSK and MQAM, which are tightly bound by the Monte Carlo simulation results obtained using Matlab. The correlation analysis is performed for different numbers of antennas and varied antenna spacings.

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Section: Complexity Analysismentioning

confidence: 99%