@inproceedings{243051_1,

title = {UCAs DoA with Reduced Number of Sensors and Small Sample Support via Beamspace Harmonics Decomposition and Root-MUSIC Algorithm},

author = {Guilherme Ferreira and Murmel Liali},

url = {https://www.sige.ita.br/edicoes-anteriores/2024/st/243051_1.pdf?x11208},

issn = {1983-7402},

year  = {2024},

date = {2024-01-01},

booktitle = {Simp\'{o}sio de Aplica\c{c}\~{o}es Operacionais em \'{A}reas de Defesa 2024 (SIGE2024)},

abstract = {In this work, we evaluate a Uniform Circular Array, featuring a reduced number of sensors and using small sample support comprised of only a few snapshots, for 2-D DoA estimation. Phase-mode transformation is a harmonics decomposition that allows the use of Root-MUSIC algorithm for azimuth estimation. Next, we address the challenging issues of having an insufficient number of sensors in the array and limited sample support, followed by a brief discussion of the techniques that can be used to mitigate the degradation caused by the two aforementioned limitations. Several numerical simulations are conducted to evaluate the DoA estimation performance of narrowband acoustic signals in different scenarios, having water as propagating media. Both isolated and joint effects of the limiting factors, as well as a simulated underwater environment.},

keywords = {Phase-mode Transfor-mation, Small Sample Support, Uniform Circular Array},

pubstate = {published},

tppubtype = {inproceedings}

}