超高速目标协同探测网络的非正常数据检测与柔性重构

项目名称： 超高速目标协同探测网络的非正常数据检测与柔性重构

项目编号： No.61304254

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 邓方

作者单位： 北京理工大学

项目金额： 25万元

中文摘要： 以临近空间飞行器为代表的超高速飞行器已对现有的探测预警体系构成了严峻挑战。本项目针对具有高机动性、强对抗性特点的超高速目标的协同探测问题，考虑网络化协同探测数据的实时性、异构性、多源性和可靠性等问题，建立兼顾数据融合处理、跟踪滤波、非正常数据分析、故障诊断和柔性重组的分布式并行协同柔性滤波器框架；采用在线协同故障诊断策略检测、诊断和隔离探测数据中由目标产生的欺骗数据和干扰数据，探测节点产生的故障数据和冗余数据，以及由于通信网络限制出现故障数据等非正常数据；进一步利用柔性重构方法隔离故障节点，剔除欺骗数据，重构非正常数据，降低非正常数据对整个探测体系的影响。提高在复杂对抗条件下三维传感器网络对超高速目标的协同探测概率及探测体系的快速性、精确性和可靠性，为我国未来在面向超高速目标的探测对抗中提供基础研究支持。

中文关键词： 超高速目标；协同探测；故障诊断；柔性重构；分布式滤波

英文摘要： Ultra-high-speed aircrafts like near-space vehicles have posed a great challenge to existing detection and early warning systems. This project takes the cooperative detection of ultra-high-speed targets with high mobility and intense antagonism as the background, considering the real-time performance, heterogeneity, multi-source, and reliability of networked collaborative detection data, etc. In the project we will build a distributed parallel collaborative flexible filter framework taking into account the data fusion process, tracking filter, non-normal data analysis, fault diagnose and flexible reorganization. We else adopt the strategy of real-time online collaborative fault diagnosis to detect, diagnosis, and isolate the deceptive data and interference data produced by the target, failure data and redundant data produced by detecting nodes, communication network failure data and other non-normal data. Flexible restruction methods are utilized to isolate the fault nodes, eliminate fraud and malicious data, reconstruct non-normal data and reduce the influence of non-normal data on the whole detection system. These methods can increase the collaborative detection probability of targets with ultra-high speed using three-dimensional sensor network in complex confrontation conditions, improve the quickness, accura

英文关键词： Ultra-high-speed targets；cooperative detection；fault diagnosis；flexible reconstruction；distributed filter