Application of piece-wise curve fitting to post-processing of synchronous distances
Zou Bing
Abstract
Zou Bing
Abstract
Curve fitting is an important method in post-processing for tracking moving targets. Using high-order polynomial curve fitting to smooth pre-processed measurement data can provide good results, but will increase processing complexity and even cause instability. This paper applies polynomial curve fitting to the post-processing of synchronously measured distance data, and presents a piece-wise curve fitting technique in accordance with the characteristics of distance data for maneuvering underwater targets. Results based on practical measurements show that the proposed technique can effectively resolve the conflict between fitting effects and the polynomial order.
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Curve fitting is an important method in post-processing for tracking moving targets. Using high-order polynomial curve fitting to smooth pre-processed measurement data can provide good results, but will increase processing complexity and even cause instability. This paper applies polynomial curve fitting to the post-processing of synchronously measured distance data, and presents a piece-wise curve fitting technique in accordance with the characteristics of distance data for maneuvering underwater targets. Results based on practical measurements show that the proposed technique can effectively resolve the conflict between fitting effects and the polynomial order.
Key concepts: Curve fitting, Polynomial, Polynomial and rational function modeling, Computer science, Algorithm, Data processing, Surface fitting, Mathematics