| Paper: | SPCOM-L3.1 | ||
| Session: | Superimposed training | ||
| Time: | Thursday, May 20, 09:30 - 09:50 | ||
| Presentation: | Lecture | ||
| Topic: | Signal Processing for Communications: Detection, Estimation, and Demodulation | ||
| Title: | THE BEST TRAINING DEPENDS ON THE RECEIVER ARCHITECTURE | ||
| Authors: | Azadeh Vosoughi; Cornell University | ||
| Anna Scaglione; Cornell University | |||
| Abstract: | We consider a block fading frequency selective multi-input multi-output (MIMO) channel in additive white Gaussian noise(AWGN). The channel input is a training vector superimposed on a linearly precoded vector of Gaussian symbols. This form of precoding is referred to as {\it affine precoding}. We derive theCramer-Rao bound (CRB) under two circumstances: the randomparameter vector to be estimated contains $(i)$ only fadingchannel coefficients, $(ii)$ unknown data symbols as well as thechannel coefficients. While case $(i)$ corresponds to the decoding schemes in which the channel is estimated first and the channel measurement is utilized to recover the data symbols, case $(ii)$ corresponds to methods in which channel and symbol estimation is performed jointly. The interesting outcome of our investigation is that minimizing trace of the channel CRB for cases $(i)$ and $(ii)$ under a total transmit power constraint leads to different affine precoder design guidelines. | ||
| Back | |||
Home -||-
Organizing Committee -||-
Technical Committee -||-
Technical Program -||-
Plenaries
Paper Submission -||-
Special Sessions -||-
ITT -||-
Paper Review -||-
Exhibits -||-
Tutorials
Information -||-
Registration -||-
Travel Insurance -||-
Housing -||-
Workshops