Localization is essential part of network control in many ad-hoc and sensor network applications. Many localization scenarios handle just simple, uniform and isotropic network structures and often some localization aware nodes called anchors or beacons are needed. Here we present a geometry-aware localization algorithm, what can operate in unisotropic networks that have complex topology. To all...

This paper utilizes a clustering approach based on Simulated Annealing (SA) method to select optimum satellite subsets from the visible satellites. Geometric Dilution of Precision (GDOP) is used as criteria of optimality. The lower the values of the GDOP number, the better the geometric strength, and vice versa. Not needing to calculate the inverse matrix, which is time-consuming process, is a ...

Abstract Efficient use of global navigation satellite system (GNSS) observations improves when applying rational selection algorithms. By combining the Sherman–Morrison formula and singular value decomposition, a smaller-GDOP (geometric dilution precision)-value method is proven for an increasing number visible satellites. this smaller-GDOP-value with maximum-volume-tetrahedron method, new rapi...

This paper focuses on the cooperative navigation of heterogeneous air-ground vehicle formations in a Global Navigation Satellite System (GNSS) challenged environment and proposes method based motion estimation regionally optimal path planning strategy. In formations, unmanned ground vehicles (UGVs) are equipped with low-precision inertial measurement units wireless range sensors, which interact...

With the widespread use of automatic identification systems (AISs), some ships deceptive information or intentionally close their AISs to conceal illegal activities evade supervision maritime departments. Although radar measurements can be effectively utilized evaluate credibility received AIS data, propagation non-line-of-sight (NLOS) signal conditions is an important factor that affects locat...

Mapping an unknown terrestrial signal of opportunity (SOP) via multiple collaborating receivers is considered. The receivers are assumed to have knowledge about their own states, make pseudorange observations on an unknown SOP, and fuse these pseudoranges through a central estimator. Two problems are considered. The first problem assumes N receivers with random initial states to pre-exist in th...

Mapping multiple unknown terrestrial signals of opportunity (SOP) transmitters via multiple collaborating receivers is considered. The receivers are assumed to have knowledge about their own states, make pseudorange observations on multiple unknown SOPs, and fuse these pseudoranges through a central estimator. Two problems are considered. The first problem assumes multiple receivers with random...