Title :
Loss characterization of distributed space-time transmit beamforming with embedded channel probing
Author :
Margetts, Adam R. ; Torkildson, Eric G. ; Bliss, Daniel W.
Author_Institution :
Adv. Sensor Tech. Group, MIT Lincoln Lab., Lexington, MA, USA
Abstract :
Distributed space-time transmit beamforming approaches potentially improve the throughput and robustness of wireless communications links. In this paper, we propose a distributed, space-time, transmit beamformer formulation that performs simultaneous data transmission and channel probing in the presence of interference. The difficulty is that the data signal corrupts the whitened channel estimate and leads to a loss in signal-to-interference and noise ratio. We examine this loss relative to the optimal solution and propose a diagonal loading technique to reduce the loss.
Keywords :
array signal processing; channel estimation; radio links; radiofrequency interference; diagonal loading technique; distributed space-time transmit beamforming; embedded channel probing; loss characterization; optimal solution; signal-to-interference-and-noise ratio; simultaneous data transmission; whitened channel estimation; wireless communications links; Channel estimation; Interference; Mobile communication; Receivers; Signal to noise ratio; Training;
Conference_Titel :
Statistical Signal Processing Workshop (SSP), 2012 IEEE
Conference_Location :
Ann Arbor, MI
Print_ISBN :
978-1-4673-0182-4
Electronic_ISBN :
pending
DOI :
10.1109/SSP.2012.6319683