A TLS-Motivated Non-Iterative Robust Square-Root Cubature Kalman Filter for Bearings-Only Tracking

Measurement outliers remain a major source of performance degradation in nonlinear bearings-only target tracking, where a few corrupted observations can produce large innovations and even trigger filter divergence. This paper proposes a non-iterative robust square-root cubature Kalman filter (RSCKF)...

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Principais autores:	Chaoqi Li, Hao Wu, Guoxu Zeng, Minbo Yang, Yijie Zhao, Ali Mehmood
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-06-01
coleção:	Sensors
Assuntos:	bearings-only tracking square-root cubature Kalman filter robust nonlinear filtering sensor outliers total least squares
Acesso em linha:	https://www.mdpi.com/1424-8220/26/11/3605
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