Mục minh họa như thế nào đúng chức năng khả năng multitarget có thể được xây dựng từ các mô hình đo lường multitarget sử dụng "turn-tay quây-" quy tắc của giải tích FISST. Phần cho thấy làm thế nào để xây dựng tương tự như sự thật | The dynamic range of measurements to be obtained in the system with the attendant concern for unacceptable quantization errors in the reported data . A standard coordinate system does not imply that each internetted platform will perform all of its tracking or navigational calculations in this reference frame. The frame selected for internal processing is dependent on what is being solved. For example when an object s trajectory needs to be mapped on the earth the WGS84 is a natural frame for processing. On the other hand ballistic objects . spacecraft ballistic missiles and astronomical bodies are most naturally tracked in an inertial system such as the FK5 system of epoch . Each sensor platform will require a set of well-defined transformation matrices relating the local frame to the network standard one . for multi-platform sensor data fusion .17 Misalignment compensation. Multisensor data fusion processing enables powerful alignment techniques that involve no special hardware and minimal special software. Systematic alignment errors can be detected by associating reports on entities of opportunity from multiple sensors. Such techniques have been applied to problems of mapping images to one another or for rectifying one image to a given reference system . Polynomial warping techniques can be implemented without any assumptions concerning the image formation geometry. A linear least squares mapping is performed based on known correspondences between a set of points in the two images. Alignment based on entities of opportunity presupposes correct association and should be performed only with high confidence associations. A high confidence in track association of point source tracks is supported by A high degree of correlation in track state given a constant offset Reported attributes features that are known a priori to be highly correlated and to have reasonable likelihood of being detected in the current mission context A lack of comparable high .
