Home ›
Entities
› academia
› Maximum Likelihood-Based Measurement Noise Covariance Estimation Using Sequential Quadratic Programming for Cubature Kalman Filter Applied in INS/BDS Integration
Maximum Likelihood-Based Measurement Noise Covariance Estimation Using Sequential Quadratic Programming for Cubature Kalman Filter Applied in INS/BDS Integration
Research article (Mathematical Problems in Engineering, 2021) · cited 25× · AI/ML
Maximum Likelihood-Based Measurement Noise Covariance Estimation Using Sequential Quadratic Programming for Cubature Kalman Filter Applied in INS/BDS Integration
Summary
Maximum Likelihood-Based Measurement Noise Covariance Estimation Using Sequential Quadratic Programming for Cubature Kalman Filter Applied in INS/BDS Integration is a scholarly article[1].
Key Facts
Maximum Likelihood-Based Measurement Noise Covariance Estimation Using Sequential Quadratic Programming for Cubature Kalman Filter Applied in INS/BDS Integration's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Maximum Likelihood-Based Measurement Noise Covariance Estimation Using Sequential Quadratic Programming for Cubature Kalman Filter Applied in INS/BDS Integration. Retrieved May 24, 2026, from https://4ort.xyz/entity/maximum-likelihood-based-measurement-noise-covariance-estimation-using-sequential-quadratic-programming-for-cubature-kal
MLA“Maximum Likelihood-Based Measurement Noise Covariance Estimation Using Sequential Quadratic Programming for Cubature Kalman Filter Applied in INS/BDS Integration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/maximum-likelihood-based-measurement-noise-covariance-estimation-using-sequential-quadratic-programming-for-cubature-kal.
BibTeX@misc{4ortxyz_maximum-likelihood-based-measurement-noise-covariance-estimation-using-sequential-quadratic-programming-for-cubature-kal_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Maximum Likelihood-Based Measurement Noise Covariance Estimation Using Sequential Quadratic Programming for Cubature Kalman Filter Applied in INS/BDS Integration}}, year = {2026}, url = {https://4ort.xyz/entity/maximum-likelihood-based-measurement-noise-covariance-estimation-using-sequential-quadratic-programming-for-cubature-kal}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Maximum Likelihood-Based Measurement Noise Covariance Estimation Using Sequential Quadratic Programming for Cubature Kalman Filter Applied in INS/BDS Integration — https://4ort.xyz/entity/maximum-likelihood-based-measurement-noise-covariance-estimation-using-sequential-quadratic-programming-for-cubature-kal (retrieved 2026-05-24)