Phase unwrapping in DOA estimation via on the least squares of the nearest projection point

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.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10867947
Citations
1
Primary Topic
Optical measurement and interference techniques
Type
article
Field-Weighted Citation Impact
0.25

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article

Phase unwrapping in DOA estimation via on the least squares of the nearest projection point

Yanyang Liu, Yandong Sun, Jian Xie, Xiaoyan Wang et al.
1 citations
Optical measurement and interference techniques
0.25
article

Phase unwrapping in DOA estimation via on the least squares of the nearest projection point

Yanyang Liu, Yandong Sun, Jian Xie, Xiaoyan Wang, Huiqun He, Ling Wang
article en
1 citations

Abstract

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.

Northwestern Polytechnical University (CN), Shanghai Micro Satellite Engineering Center (CN), Shanghai Academy of Spaceflight Technology (CN)
National Natural Science Foundation of China, Innovation Fund
Openalex Percentile: Top 42%
Optical measurement and interference techniques
0.25
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Phase unwrapping in DOA estimation via on the least squares of the nearest projection point — Yanyang Liu, Yandong Sun, et al. · (2024) | TGRS Research Map | TGRS