Low-complexity Turbo-equalization for diversity channels
Signal Processing
OFDM for Wireless Multimedia Communications
OFDM for Wireless Multimedia Communications
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Multi-Carrier and Spread Spectrum Systems
Multi-Carrier and Spread Spectrum Systems
EURASIP Journal on Wireless Communications and Networking - 3GPP LTE and LTE Advanced
A QRD-M/Kalman filter-based detection and channel estimation algorithm for MIMO-OFDM systems
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
Adaptive control of surviving symbol replica candidates in QRM-MLD for OFDM MIMO multiplexing
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
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This paper presents a new maximum likelihood detection- (MLD-) based signal detection method for orthogonal frequency division multiplexing (OFDM) multiple-input multiple-output (MIMO) multiplexing with frequency domain spreading and code multiplexing. The proposed MLD reduces the computational complexity by utilizing signal orthogonalization based on QR decomposition of the product of the channel and spreading code matrices in the frequency domain. Simulation results show that when the spreading factor and number of code multiplexed symbols are 16, the proposed MLD reduces the average received signal energy per bit-to-noise spectrum density ratio (Eb/N0) for the average packet error rate (PER) of 10-2 by approximately 12 dB compared to the conventional minimum mean-squared error- (MMSE-) based filtering for 4-by-4 MIMO multiplexing (16QAM with the rate-3/4 Turbo code is assumed).