Micro-Computer Network Architecture for Range Instrumentation Applications

摘要

VLSI technology has been developed to the point where special purpose processors may be concatenated to form supercomputers with far greater throughput rates than uniprocessor machines. MTI has developed a parallel form of the conventional Kalman filter that is well suited to being implemented in a multiprocessing environment. Moreover, our Decentralized Square Root Information Filter (DSRIF) has several very unique features which could be incorporated into the design of an integrated test range tracking system with much improved performance over existing methods. Phase I research demonstrated feasibility of the DSRIF as a means for solving the linear least squares estimation problem in decentralized form. Also, an extended form of the DSRIF was derived and successfully used to track real Multiple Rocket Launch System Data provided by the White Sands Missile Range.