Decorrelation-Based Data Association Algorithm for Heterogeneous Sensors System-Reference-Cited by-同舟云学术

Decorrelation-Based Data Association Algorithm for Heterogeneous Sensors System

Published:2014-12 Issue: Volume:722 Page:334-337
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Kong Yun Bo¹,Wang Hua Bing¹,Feng Xin Xi²,Lu Chuan Guo²,Ke Rong Bo³,Chen Guo Sheng⁴

Affiliation:

1. The State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System

2. Telecommunication Engineering Institute Air Force Engineering University

3. 61377 Troops, Pla

4. Naval Air Force Engineering University

Abstract

A decorrelation-based data association algorithm for heterogeneous sensors system is proposed, which first fusions multiple measurements to estimate a target position using the pseudo linear estimation method, then a decorrelation-based data association model is built and the unscented transform is proposed to compute the mutual covariance between measurements and the pseudo ones. Meanwhile, taking the real-time problem into consideration, when calculating the cross covariance, the minimum skew simplex sample is used to reduce the complexity of the algorithm.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.722.334.pdf

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