Neural-Fuzzy Fusion Solution to the Data Association Problem

权太范; 周斌; 宗成阁; 袁业术

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Neural-Fuzzy Fusion Solution to the Data Association Problem

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- Neural-Fuzzy Fusion Solution to the Data Association Problem
- Acta Electronica Sinica Issue 7, (1996)
- 作者机构：
  
  哈尔滨工业大学电子与通信工程系
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP311.1
- Published：1996
- 稿件说明：
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[1]权太范,周斌,宗成阁,袁业术.数据关联的神经—模糊融合方法[J].电子学报,1996(07):66-71.

权太范, 周斌, 宗成阁, et al. Neural-Fuzzy Fusion Solution to the Data Association Problem[J]. Acta Electronica Sinica, 1996, (7).
[1]权太范,周斌,宗成阁,袁业术.数据关联的神经—模糊融合方法[J].电子学报,1996(07):66-71. DOI：

权太范, 周斌, 宗成阁, et al. Neural-Fuzzy Fusion Solution to the Data Association Problem[J]. Acta Electronica Sinica, 1996, (7). DOI：

摘要

本文提出了基于神经—模糊融合网络的数据关联新方法，解决了杂波背景下多目标数据关联的实际问题。首先为分级实现数据关联和降低关联模糊度，在文献［１］的基础上构造了多目标快速数据关联的系统结构。然后应用神经—模糊融合技术和改进的模糊基函数网络学习算法完成相关值的计算。该方法在地波超视距达站应用结果表明，这种方法提高了数据关联的性能和快速性，并为强海杂波背景下多目标跟踪提供了一种新的方法。

Abstract

In this paper

we propose a new data association algorithm based on neural-fuzzy fusion networks

to solve the problems in the practical application of multitarget data association in clutter. Firstly

we present a system structure for the fast multi target data association

which results in realizing the data association in series and reducing the fuzziness of association.Secondly

we apply the neural-fuzzy fusion technology and the modified fuzzy basic function networks in the computing of correlation.Finally

the results of its application in the Ground Wave Over-The-Horizon Radar prove that this fast algorithm

have improved the performances of the multitarget data association in the rough sea clutter.

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