The approach for design of parallel implementation of the second-order Kalman filter using systolic array processors is proposed. The original time complexity of more than 27n/sup 3 /for sequential processing can be reduced to only 21n+10r-4 in the proposed parallel implementation. The improvement is gained from the utilization of interarray pipelining, concurrent processing and substitution forwarding techniques. The approach is especially suitable for real-time application of the Kalman filter in solving second-order linear system.<>
Systolic array implementation of second-order Kalman filter
IEEE Transactions on Aerospace and Electronic Systems ; 28 , 4 ; 1128-1143
1992-10-01
961153 byte
Article (Journal)
Electronic Resource
English
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