Nav11Nav13

Nav11Nav13 is a nomenclature used in navigation research to describe a dual-component framework that combines two interdependent algorithms, Nav11 and Nav13, to determine and verify a vehicle’s position and velocity. The term appears in academic literature and industry practice as a case study in sensor fusion and fault-tolerant navigation. While not tied to a single open standard, Nav11Nav13 represents a common approach in hybrid navigation systems that rely on multiple information streams to improve accuracy and robustness.

Nav11 provides real-time positioning by fusing GNSS measurements with inertial data, prioritizing continuity of estimates during GNSS outages through dead reckoning and cross-sensor cues. Nav13 focuses on integrity monitoring, anomaly detection, and the refinement of state estimates. It cross-validates Nav11 outputs against alternative data streams, handling satellite health, clock biases, sensor biases, and fault flags. The two modules exchange state information within a common filtering framework, typically a Kalman or complementary filter, to produce a single fused estimate used by the host platform.

Applications and significance include use in autonomous vehicles, aerial systems, and maritime platforms where resilience to GNSS degradation is important. The Nav11Nav13 approach informs sensor-fusion design patterns, redundancy strategies, and fault-detection logic in robust navigation architectures. Challenges include maintaining real-time performance, managing computational load, and accurately modeling inter-module error characteristics under diverse operating conditions.

Related concepts encompass GNSS, inertial navigation, Kalman filtering, and sensor fusion. The framework is discussed in the context of research on fault-tolerant navigation and may be cited as a design reference in studies comparing multi-algorithm fusion strategies.