TY - GEN
T1 - Improving the Source Localization Performance of the Phase Array by Using the Radiation Pattern Error
AU - Li, Hongbo
AU - Liu, Aijun
AU - Yang, Qiang
AU - Yu, Changjun
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this paper, we analyze the effect of the radiation pattern error on the multiple signal classification (MUSIC) algorithm and demonstrate that the performance of the direction of arrival (DOA) estimation can be improved by utilizing the pattern error. We first analyze the performance of the MUSIC algorithm in the ideal phased array from two aspects of estimation accuracy and angular resolution. We derive the Cramer-Rao Lower Bound (CRLB) and the asymptotic formulas of the estimation's error variance to quantitatively show the estimation accuracy. And the angular resolution is represented by the zero spectrum (ZS). We then research the variation of the estimation performance in the array with the pattern error and confirm the enhancement effect of the pattern error on the DOA estimation. Numerical results prove that the array with pattern errors has better DOA estimation performance than the ideal array, from CRLB, root mean square error (RMSE), probability of detection (Pd) and angular resolution.
AB - In this paper, we analyze the effect of the radiation pattern error on the multiple signal classification (MUSIC) algorithm and demonstrate that the performance of the direction of arrival (DOA) estimation can be improved by utilizing the pattern error. We first analyze the performance of the MUSIC algorithm in the ideal phased array from two aspects of estimation accuracy and angular resolution. We derive the Cramer-Rao Lower Bound (CRLB) and the asymptotic formulas of the estimation's error variance to quantitatively show the estimation accuracy. And the angular resolution is represented by the zero spectrum (ZS). We then research the variation of the estimation performance in the array with the pattern error and confirm the enhancement effect of the pattern error on the DOA estimation. Numerical results prove that the array with pattern errors has better DOA estimation performance than the ideal array, from CRLB, root mean square error (RMSE), probability of detection (Pd) and angular resolution.
KW - Cramer-Rao Lower Bound (CRLB)
KW - multiple signal classification (MUSIC) algorithm
KW - phased array
KW - radiation pattern error
KW - zero spectrum (ZS)
UR - https://www.scopus.com/pages/publications/85183463853
U2 - 10.1109/ICISPC59567.2023.00016
DO - 10.1109/ICISPC59567.2023.00016
M3 - 会议稿件
AN - SCOPUS:85183463853
T3 - Proceedings - 2023 7th International Conference on Imaging, Signal Processing and Communications, ICISPC 2023
SP - 42
EP - 48
BT - Proceedings - 2023 7th International Conference on Imaging, Signal Processing and Communications, ICISPC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Imaging, Signal Processing and Communications, ICISPC 2023
Y2 - 21 July 2023 through 23 July 2023
ER -