초록 ▼

The invention is a method for radar registration by determining initially unknown azimuth and range biases (errors) in a system of multiple, overlapping coverage radars. Track data from multiple radar systems corresponding to a common target are associated into track pairs. Track pair data is then u

The invention is a method for radar registration by determining initially unknown azimuth and range biases (errors) in a system of multiple, overlapping coverage radars. Track data from multiple radar systems corresponding to a common target are associated into track pairs. Track pair data is then used to calculate state vectors in a multi-dimensional vector space (preferably six-dimensional), with state vector components corresponding to both position and velocity information. From these state vectors an average normalized statistical distance is calculated, where the averaging is over multiple track pairs. An azimuthal bias parameter (and preferably also a range bias parameter) are then varied to minimize the average normalized statistical distance, thereby finding the best estimates of the corrections required to register the multiple radars.

대표청구항 ▼

[ I claim:] [1.]1. A method for determining an initially unknown bias for more accurately registering a multiple-radar system having at least two radars which track common targets, wherein for each target said radars each report track data, derived from azimuth and range measurements of at least one

[ I claim:] [1.]1. A method for determining an initially unknown bias for more accurately registering a multiple-radar system having at least two radars which track common targets, wherein for each target said radars each report track data, derived from azimuth and range measurements of at least one of the N common targets, the method comprising the steps of:identifying track data from the multiple-radar system corresponding to the one of the common targets;forming state vectors from said track data, said state vectors including both directional position and directional velocity components;calculating a statistical distance D between state vectors corresponding to the one of the common targets; anddetermining a measurement bias which if applied to correct said track data, optimizes a function of said statistical distance D.