TY - GEN
T1 - Employing moments of multiple high orders for high-resolution underdetermined DOA estimation based on MUSIC
AU - Sugimoto, Yuya
AU - Miyabe, Shigeki
AU - Yamada, Takeshi
AU - Makino, Shoji
AU - Juang, Fred
PY - 2013
Y1 - 2013
N2 - Several extensions of the MUltiple SIgnal Classification (MUSIC) algorithm exploiting high order statistics were proposed to estimate directions of arrival (DOAs) with high resolution in underdetermined conditions. However, these methods entail a trade-off between two performance goals, namely, robustness and resolution, in the choice of orders because use of high-ordered statistics increases not only the resolution but also the statistical bias. To overcome this problem, this paper proposes a new extension of MUSIC using a nonlinear high-dimensional map, which corresponds to the joint analysis of moments of multiple orders and helps to realize the both advantages of robustness and high resolution of low-ordered and high-ordered statistics. Experimental results show that the proposed method can estimate DOAs more accurately than the conventional MUSIC extensions exploiting moments of a single high order.
AB - Several extensions of the MUltiple SIgnal Classification (MUSIC) algorithm exploiting high order statistics were proposed to estimate directions of arrival (DOAs) with high resolution in underdetermined conditions. However, these methods entail a trade-off between two performance goals, namely, robustness and resolution, in the choice of orders because use of high-ordered statistics increases not only the resolution but also the statistical bias. To overcome this problem, this paper proposes a new extension of MUSIC using a nonlinear high-dimensional map, which corresponds to the joint analysis of moments of multiple orders and helps to realize the both advantages of robustness and high resolution of low-ordered and high-ordered statistics. Experimental results show that the proposed method can estimate DOAs more accurately than the conventional MUSIC extensions exploiting moments of a single high order.
KW - Higher order statistics
KW - Microphone array
KW - MUSIC
KW - Subspace analysis
KW - Underdetermined DOA estimation
UR - http://www.scopus.com/inward/record.url?scp=84893561608&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893561608&partnerID=8YFLogxK
U2 - 10.1109/WASPAA.2013.6701866
DO - 10.1109/WASPAA.2013.6701866
M3 - Conference contribution
AN - SCOPUS:84893561608
SN - 9781479909728
T3 - IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
BT - 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2013
T2 - 2013 14th IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2013
Y2 - 20 October 2013 through 23 October 2013
ER -