Title :
Improving the Performance of Post-FFT Array Processing in OFDM Systems with Short Training Sequences
Author :
Mehrtash, A. ; Boghrati, B. ; Hojjat, N. ; Safavi-Naeini, S.
Author_Institution :
Sch. of Electr. & Comput. Eng., Tehran Univ.
Abstract :
Three techniques were simultaneously applied to reduce the size of the training sequence of the antenna elements to improve the performance of post-FFT OFDM adaptive antenna arrays used for interference cancellation. These techniques are subcarrier training concatenation; frame training concatenation; and weight averaging. Using these simple and easily applicable techniques, the size of the training sequence can be reduced to only one symbol for a four-element antenna array. In addition, better performance is achieved with the same length of training sequence for training lengths less than four symbols. Further, this method has low cost and low complexity and is easily compatible with any weighting algorithm. As an example of an OFDM based WLAN link, a Matlab Simulink model of 802.11a is considered. To include the effect of the antennas in more detail, a vector channel model is utilized
Keywords :
OFDM modulation; adaptive antenna arrays; fast Fourier transforms; interference suppression; radio links; wireless LAN; wireless channels; WLAN link; antenna elements; fast Fourier transforms; four-element antenna array; frame training concatenation; interference cancellation; orthogonal frequency division multiplexing; post-FFT OFDM adaptive antenna arrays; short training sequences; subcarrier training concatenation; vector channel model; weight averaging; wireless local area network; Adaptive arrays; Antenna arrays; Application software; Array signal processing; Delay; Mathematical model; Multipath channels; OFDM; Phased arrays; Wireless LAN;
Conference_Titel :
Antennas and Propagation Society International Symposium 2006, IEEE
Conference_Location :
Albuquerque, NM
Print_ISBN :
1-4244-0123-2
DOI :
10.1109/APS.2006.1711327