Recursive prediction error estimation for source dynamic motion evaluation

Ferial El-Hawary

doi:10.1117/12.2321779

1 October 1990 Recursive prediction error estimation for source dynamic motion evaluation

Ferial El-Hawary

Proceedings Volume 1305, Signal and Data Processing of Small Targets 1990; (1990) https://doi.org/10.1117/12.2321779
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

This paper treats the problem of source dynamic motion evaluation in underwater applications using recursive prediction error estimation techniques. The issue of compensating for underwater motion effects arises in a number of areas of current interest such as control and operations of autonomous remotely operated vehicles, underwater seismic exploration, and buoy wave data analysis. Earlier treatments of the problem relied on frequency response methods and Kalman filtering. The present paper discusses the compensation problem using an alternative discrete model of the process and proposes use of the recursive prediction error algorithm for its solution. The algorithm is simpler than Kalman filtering in terms of the required knowledge of noise statistics and provides an attractive alternative to Kalman Filtering

Citation Download Citation

Ferial El-Hawary "Recursive prediction error estimation for source dynamic motion evaluation", Proc. SPIE 1305, Signal and Data Processing of Small Targets 1990, (1 October 1990); https://doi.org/10.1117/12.2321779

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