Abstract: A radar system tracks targets, and for each target determines the maximum acceleration of the target which can be tracked. The target acceleration is compared with the maximum acceleration that the radar can maintain in track, and if the decision is that the radar cannot maintain track, the radar data rate is increased, at least for that target. In at least some cases in which the target acceleration is such that the target can be maintained in track, the data rate for that target is decreased.

Abstract: A computer-implemented method for probabilistically classifying an occurrence of an event, a change in the state of a target, includes measuring feature data of the target simultaneously processing the measured feature data through first and second filters. The first filter is suited for a situation in which the target is in a first state and generates a first residual and a first residual covariance for the measured feature data. The second filter is suited for a situation in which the target is in a second state and generates a second residual and a second residual covariance for the feature data. By determining a probability of the occurrence of the event and the probability of the non-occurrence of the event and comparing the two probabilities with at least one threshold value the occurrence or non-occurrence of the event is determined.

Abstract: A method for calculating a drop track time for a radar system includes receiving characteristics of the radar system as an input, determining in a computer process the characteristics of a target being tracked by the radar system, calculating in a computer process a target track drop time for the target based on the characteristics of the radar system and the target, determining in a computer process whether a value associated with the target being tracked has been updated within the target track drop time, and discontinuing the tracking of the target if a value associated with the target being tracked is not updated within the target track drop time.

Abstract: The radar tracking or pulse refresh rate is calculated for a target. The refresh rate is selected which makes a sum equal to a predetermined fraction of the radar beamwidth, where the sum is the sum of the bias error and a multiplicative product. The multiplicative product is the product of the random error multiplied by a number associated with the containment probability of the total error.

Abstract: When a kinetic kill vehicle is launched against an incoming ballistic object and the two objects collide, by measuring the deflection angle of the trajectory of the merged object and comparing the deflection angle against a threshold value, a determination is made as to the relative weight of the incoming ballistic object and whether or not the incoming ballistic object is a decoy and not the warhead.

Abstract: A hostile missile engager senses the missile and supplies kinematic data to an interceptor missile fire control processor, which predicts the target's future location with the aid of a powered/unpowered identifier. The identifier passes the kinematic data through filters having lags for powered and unpowered operation, to produce residuals and residual covariances. The probabilities of powered and unpowered motion are determined, and thresholded. If the probability of powered motion or unpowered motion exceeds its threshold, the motion is deemed known. If the target is deemed to be powered, a set of the three-dimensional kinematic features is applied to a nine-state Kalman filter to produce an optimal state. If the target missile is unpowered, a set of the three-dimensional kinematic features corresponding to the second lag is applied to a six-state Kalman filter to produce an optimal state for the unpowered motion. The optimal states control the interceptor toward the target.