Surface Search Radar Tracking by a Microcomputer Kalman Filter
NAVAL POSTGRADUATE SCHOOL MONTEREY CA
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U. S. Navy ships not equipped with NTDS currently perform surface radar target tracking manually, a tedious and inaccurate process. This thesis establishes that an 8-bit microprocessor, interfaced to a common surface search radar, could compute the course and speed of multiple radar targets. The investigation includes the estimation of radar measurement errors, a determination of practical digital interface limitations, and the development of a Kalman filter algorithm, a floating point arithmetic library for the INTEL 8080 microprocessor, and the microprocessor tracking system software. The error statistics and execution time of the microprocessor software are presented for several computer simulated target tracks.
- Computer Hardware
- Active and Passive Radar Detection and Equipment