Lv Lei , Zhang Zhong-Pei. Research of an Adaptive MIMO Transmission and Detection Technique[J]. Journal of Electronics & Information Technology, 2008, 30(12): 2951-2954. doi: 10.3724/SP.J.1146.2007.00911
Citation:
Lv Lei , Zhang Zhong-Pei. Research of an Adaptive MIMO Transmission and Detection Technique[J]. Journal of Electronics & Information Technology, 2008, 30(12): 2951-2954. doi: 10.3724/SP.J.1146.2007.00911
Lv Lei , Zhang Zhong-Pei. Research of an Adaptive MIMO Transmission and Detection Technique[J]. Journal of Electronics & Information Technology, 2008, 30(12): 2951-2954. doi: 10.3724/SP.J.1146.2007.00911
Citation:
Lv Lei , Zhang Zhong-Pei. Research of an Adaptive MIMO Transmission and Detection Technique[J]. Journal of Electronics & Information Technology, 2008, 30(12): 2951-2954. doi: 10.3724/SP.J.1146.2007.00911
MIMO is a main capacity improving technique in wireless communication. In slowly fading channel MIMO receiver can feedback the Channel State Information (CSI) to transmitter for the purpose of improving system performance. Traditional feedback-precoding scheme Singular Value Decomposition (SVD) affected by spatial correlation and requirement of traditional VBLAST system about number of transmission and receive antennas, its application is severely restricted. This paper presents an adaptive MIMO transmission system, adopting uniform channel parameter feedback mode and Space-Time Block Code (STBC), this technique can overcome the drawbacks of SVD scheme mentioned above. The simulation results show this kind of system can work with receive antennas less than transmission antennas and perform well under high correlated channel.
[1] Telatar I E. Capacity of multiple antennas Gaussian channels[J].European Trans. on Telecommunications.1999, 10(6):585-595 [2] Tran N H, Nguyen H H, and Le-Ngoc T. Coded unitaryspace-time modulation with iterative decoding: Errorperformance and mapping design [J].IEEE Trans. onCommunications.2007, 55(4):703-716 [3] Palomar D, Cioffi J, and Lagunas M. Joint Tx-Rxbeamforming design for multicarrier MIMO channels: Aunified framework for convex optimization [J].IEEE Trans.on Signal Processing.2003, 51(9):2381-2401 [4] Jiang Y, Li J, and Hager W. Uniform channel decompositionfor MIMO communications[J].IEEE Trans. on SignalProcessing.2005, 53 (11):4283-4294 [5] Naguib A F, Seshadri N, and Calderbank A R. Applicationsof space-time block codes and interference suppression forhigh capacity and high date rate wireless systems [J].Signals,Systems Computers.1998, 2(11):1803-1810 [6] Pedersen K, Mogensen P, and Fleury B H. Spatial channelcharacteristics in outdoor environments and their impact onBS antenna system performance[C]. 48th IEEE Vehi. Tech.Conf., proc, 1998: 719-723. [7] Jiang Y, Li J, and Hager W. Joint transceiver design forMIMO communications using geometric mean decomposition[J].IEEE Trans. on Signal Processing.2005, 53(10):3791-3803 [8] Telatar I E. Capacity of multi-antenna Gaussian channels [J].Eur. Trans. on Telecommun.1999, 10(6):585-595