TY - GEN
T1 - Phase unwrapping in DOA estimation via on the least squares of the nearest projection point
AU - Wang, Xiaoyan
AU - He, Huiqun
AU - Xie, Jian
AU - Sun, Yandong
AU - Wang, Ling
AU - Liu, Yanyang
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The phase interferometer offers a number of advantages, including a simple structure, high direction-finding performance and low computational complexity. As a result, it has become a popular technique for Passive Direction Finding. However, the phase interferometer is significantly affected by phase measurement error, which can easily lead to phase ambiguity when the minimum element spacing exceeds half a wavelength. For this, we propose an enhanced least squares nearest projection point (LS-NPP) phase unwrapping algorithm. By fitting multiple snapshots of phase-difference points using the least squares method, and then utilizing the wrapped phase-difference pattern (WPDP) to identify the nearest phase projection point to the fitted phase point, the ambiguity number is obtained, thereby achieving phase unwrapping. Simulation results demonstrate that the proposed algorithm exhibits a higher probability of correct phase unwrapping under low signal-to-noise ratio (SNR) conditions.
AB - The phase interferometer offers a number of advantages, including a simple structure, high direction-finding performance and low computational complexity. As a result, it has become a popular technique for Passive Direction Finding. However, the phase interferometer is significantly affected by phase measurement error, which can easily lead to phase ambiguity when the minimum element spacing exceeds half a wavelength. For this, we propose an enhanced least squares nearest projection point (LS-NPP) phase unwrapping algorithm. By fitting multiple snapshots of phase-difference points using the least squares method, and then utilizing the wrapped phase-difference pattern (WPDP) to identify the nearest phase projection point to the fitted phase point, the ambiguity number is obtained, thereby achieving phase unwrapping. Simulation results demonstrate that the proposed algorithm exhibits a higher probability of correct phase unwrapping under low signal-to-noise ratio (SNR) conditions.
KW - interferometer
KW - least squares
KW - nearest projection point
KW - phase unwrapping
KW - probability of ambiguity
UR - http://www.scopus.com/inward/record.url?scp=86000009427&partnerID=8YFLogxK
U2 - 10.1109/ICSIDP62679.2024.10867947
DO - 10.1109/ICSIDP62679.2024.10867947
M3 - 会议稿件
AN - SCOPUS:86000009427
T3 - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
BT - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Y2 - 22 November 2024 through 24 November 2024
ER -