Abstract: A passive position fix system for a vehicle in which a gyro first provides a first gyro position of the vehicle, a map storage means which receives the first gyro position and in response thereto provides map-sets containing a set of gravity gradients and a gravity anomaly associated with geographic positions in the vacinity of the first gyro position, a gravity sensor for providing a GSS-set comprising a sensed set of gravity gradients values and a gravity anomaly at the position of the vehicle, a comparing means for sequentially receiving the map-sets so as to determine when there is a match between the GSS-set and a map-set and providing a displacement vector, and a processor for placing a second gyro position in the gyro based on the first gyro position and the displacement vector.

Abstract: A Passive Navigation System (PNS) provides continuous updating of position, velocity, and attitude information of a vehicle without recourse to radiating or external navigation aids. The system accurately computes navigation information with the utilization of gravity sensors, gravimetric maps, vertical position, and velocity measurements. Sensor and map data are optimally processed by real time filtering to compute the best position, velocity, and attitude of the vehicle. The products of measured gravity gradients and the velocity of the vehicle are integrated over time to obtain a north, east, down gravity vector components which are combined with corresponding components obtained from a vertical deflection map in a complementary filter. North and east components of the combination are compared with the corresponding components from the vertical deflection map, while the down component of the gravity is compared to the down value obtained from a gravimeter.

Abstract: A Passive Navigation System (PNS) provides continuous updating of position, velocity, and attitude information of a vehicle without recourse to radiating or external navigation aids. The system accurately computes navigation information with the utilization of gravity sensors, gravimetric maps, vertical position, and velocity measurements. Sensor and map data are optimally processed by real time filtering to compute the best position, velocity, and attitude of the vehicle. The products of measured gravity gradients and the velocity of the vehicle are integrated over time to obtain a north, east, down gravity vector components which are combined with corresponding components obtained from a vertical deflection map in a complementary filter. North and east components of the combination are compared with the corresponding components from the vertical deflection map, while the down component of the gravity is compared to the down value obtained from a gravimeter.