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Volume 30 Issue 7
Jan.  2011
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Wang Ping, Yuan Wei-na, Fan Ping-zhi. Power Allocation of Superimposed Training[J]. Journal of Electronics & Information Technology, 2008, 30(7): 1584-1587. doi: 10.3724/SP.J.1146.2006.02026
Citation: Wang Ping, Yuan Wei-na, Fan Ping-zhi. Power Allocation of Superimposed Training[J]. Journal of Electronics & Information Technology, 2008, 30(7): 1584-1587. doi: 10.3724/SP.J.1146.2006.02026

Power Allocation of Superimposed Training

doi: 10.3724/SP.J.1146.2006.02026
  • Received Date: 2006-12-20
  • Rev Recd Date: 2007-06-18
  • Publish Date: 2008-07-19
  • Compared with the conventional Time-Division Multiplexed (TDM) channel estimation scheme based on training sequences, the use of implicit training saves valuable bandwidth, where the training sequences are added to information sequences before antenna transmission. However, for a fixed total transmission power, the information power decrease with the increase of the training sequence power, which causes decrease in the Signal to Noise Ratio (SNR) at channel equalizer. In this paper, the relationship between the SNR of the channel equalizer and the training sequences power is analyzed for MIMO system. The optimal power allocation of the training sequence is derived based on the criterion of maximizing SNR of the equalizer. Analysis and simulation results show that the SNR of the channel equalizer is maximized at the optimal training sequence power, and the optimal power of the training sequences is increased with increase of the signal to noise ratio at the received antennas.
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  • Ma X L and Yang L Q, et al.. Optimal training for MIMOfrequency-selective fading channels. IEEE Trans. on WirelessCommunications, 2005, 4(2): 453-466.[2]Yang S A and Wu J. Optimal binary training sequence designfor multiple-antenna systems over dispersive fading channels[J].IEEE Trans. on Vehicular Technology.2002, 51(5):1271-1276[3]Fan P Z and Mow W H. On optimal training sequence designfor multiple-antenna systems over dispersive fading channelsand its extensions[J].IEEE Trans. on Vehicular Technology.2004, 53(5):1623-1625[4]Asireddy S, Tong L, and Viswanathan H. Optimal placementof training for frequency-selective block-fadingchannels[J].IEEE Trans. on Information Theory.2002, 48(8):2338-2353[5]Orozco-Lugo A G, Lara M M, and Mclernon D C. Channelestimation using implicit training[J].IEEE Trans. on SignalProcessing.2004, 52(1):240-254[6]Yuan W N and Fan P Z. Implicit MIMO channel estimationwithout DC-Offset based on ZCZ training sequences[J].IEEESignal Processing Letters.2006, 13(9):521-524[7]Fan P Z , Suehiro N, Kuroyanagi N, and Deng X M. Class ofbinary sequences with zero correlation zone[J].IEE Electron.Lett.1999, 35(10):777-779[8]Tugnait J K and Luo W. On channel estimation usingsuperimposed training and first-order statistics. IEEECommun. Letter, 2003, 7(9): 413-415.[9]Tugnait J K and Meng X H. On superimposed training forchannel estimation: performance analysis, training powerallocation, and frame synchronization[J].IEEE Trans. on SignalProcessing.2006, 54(2):752-765
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