@inproceedings{26212a8d7db04cc790e5221a46c778cf,
title = "SINR analysis in persymmetric adaptive processing",
abstract = "We study the normalized output signal-to-interference-plus-noise ratio (SINR) of a sample matrix inversion (SMI) beamformer with exploiting a priori information on persymmetric structures in the received signal. An exact expression for the expectation of the normalized output SINR (i.e., average S-INR loss) of the persymmetric SMI beamformer is obtained. Simulation results reveal that the exploitation of the persymmetric structure is equivalent to doubling the amount of training data.",
keywords = "Persymmetry, SINR loss, sample matrix inversion (SMI) beamformer",
author = "Jun Liu and Hongwei Liu and Bo Chen and Xia, {Xiang Gen}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 19th IEEE Statistical Signal Processing Workshop, SSP 2016 ; Conference date: 25-06-2016 Through 29-06-2016",
year = "2016",
month = aug,
day = "24",
doi = "10.1109/SSP.2016.7551756",
language = "English",
series = "IEEE Workshop on Statistical Signal Processing Proceedings",
publisher = "IEEE Computer Society",
booktitle = "2016 19th IEEE Statistical Signal Processing Workshop, SSP 2016",
address = "United States",
}