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Robust Resilient Heading Measurement Frame for Polarization Compass Based on HS 2 FA and RS 3 A Algorithm in Harsh Environments

Year: 2026
Type: article
Abstract: Achieving high-quality heading information for a polarized light compass is extremely crucial to autonomous instrumentation and measurement. Nevertheless, the heading angle data output from the compass is not only susceptible to terrible internal device noise but also complicated external weak atmosphere polarization mode induced by aerosols and water vapor in harsh environments, which leads to a significant reduction in the compass measurement accuracy. Accordingly, a robust heading measurement strategy on the basis of signal state, from prediction and monitoring to noise suppression, is presented in this study. To predict the heading angle state, especially the transition state, a high-order statistical slow feature analysis (HS2FA) technique is developed to extract the features of the process from the heading measurement signals. Furthermore, differential S2FA (Dif S2FA) is proposed to learn the transition characteristics online and calculate dynamic monitoring statistics. Subsequently, Bayesian inference is exploited to make a fused decision of the monitoring statistics to provide intuitive and accurate monitoring indicators. In addition, a novel resilient sliding singular spectrum analysis (RS3A) algorithm in the time–frequency domain is proposed to flexibly suppress noise in the heading information predicted and discriminated above. Various representative experiment results demonstrate that the proposed measurement framework possesses remarkable enhancement in heading accuracy and robustness for a polarization compass in harsh environments.
DOI: 10.1109/tim.2026.3731744
Language: English
Open Access status: hybrid
Estimated APC paid: $2,645
OpenAlex ID: W7211898554
FWCI:
Cites: 46
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Related to: 10