Abstract: A method of performing a sequence of measurements, z, R; M; (t1,t2), of at least one parameter and recursively performing predictions. The method comprising the steps of—based on at least on a first measurement instance (M (tk); (k)), predicting the outcome (x, P) for at least two models (C, S); —after a subsequent measurement instance (M (tk+Tp)(k+Tp)) updating the models (C, S) for the corresponding point in time, whereby the prediction made on the basis of the first measurement instance is updated in the light of the subsequent measurement instance; and—re-arranging at least one model (C, S) for the subsequent measurement instance (tk+Tp) (k+Tp), whereby one updated model influences another updated model. For a model set comprising at least one complementary (C) model and at least one sub (S) model, under the step of rearranging the S model never influences the C model.

Abstract: The invention relates to a method for an analysis tool for analysis of the sensor performance of a system of sensors, which method comprises analytical calculation of a sensor system's measurement characteristics at each point in a given geographical area. The method comprises obtaining performance parameters from N sensors that are in the system. The method is characterized in that a set of analytical performance parameters for the system is calculated by the performance parameters being fused irrespective of the different measurement characteristics of the sensors in the system with regard to the given performance parameters and in that the analytical parameters are used in the analysis of the performance of the sensor system. The invention also relates to a device for use of the method and to the use of the method and the device.

Abstract: The invention relates to a method for an analysis tool for analysisis of the sensor performance of a system of sensors, which method comprises analytical calculation of a sensor system's measurement characteristics at each point in a given geographical area. The method comprises obtaining performacne parameters (1, 2, 3) from N sensors that are in the system. The method is characterized in that a set of analytical performance parameters (5) for the system is calculated by the performance parameters (1, 2, 3) being fused irrespective of the different measurement characteristics of the sensors in the system with regard to the given perforamance parameters (1, 2, 3) and in that the analyticcal parameters are used in the analysis of the performance of the sensor system. The invention also relates to a device for use of the method and to the use of the method and the device.

Abstract: A method for calculating the range to a moving object by way of a sensor that determines the angle of the object. The sensor and the object move relative to one another, and after one measurement the procedure is as follows: on the assumption that the target maintains a constant velocity, a number of possible target ranges are calculated, as well as areas of uncertainty associated with these ranges, so-called “straight trajectory models” (410, 411, 412), on the assumption that the target accelerates, a number of possible target ranges are calculated, as well as areas of uncertainty associated with these ranges, so-called “maneuvering models” (420, 421, 422), a number of the straight trajectory models (410, 411, 412) having a maneuvering model assigned to them.

Abstract: The invention relates to a method for calculating the range to a moving object by means of a sensor that determines the angle of the object.

Abstract: Methods of associating a first target track and one of a group of target tracks measured by a radar system, in which the first target track is compared with each of the target tracks in the group of target tracks based on movement between two selected target positions, one in each of the two target tracks. Predetermined maximum numbers of changes in target parameters such as course and speed are assumed to have been able to take place during the movement, and a target parameter for the two positions is allowed to vary while other target parameters are kept constant. A possible range for the varying parameter is determined that is consistent with movement between the two positions, and if a measured value of the varying parameter lies within the range, target tracks are associated with each other.