在二进制传感器网络上使用Zonotopic分布式融合与位率分配:编码解码方法
IEEE transactions on cybernetics
|August 9, 2024
概括
本研究介绍了一种新的分布式聚变估计算法,用于使用二进制传感器的非线性系统. 该方法在有限的比特率和未知的噪声下提高了准确性,改进了跟踪系统.
科学领域:
- 控制系统工程 控制系统工程
- 信号处理 信号处理
- 网络化系统 网络化系统
背景情况:
- 由于有限的信息和未知但有限 (UBB) 噪声,二进制传感器网络在估计方面存在挑战.
- 网络通信中的有限比特率进一步使分布式传感器的数据融合复杂化.
- 现有的融合方法可能会与二进制传感器网络固有的不确定性和约束性作斗争.
研究的目的:
- 为使用二进制传感器网络的一般非线性系统开发一个区域分布式聚变估计算法.
- 为了应对UBB噪声和有限的比特率通信所带来的挑战.
- 为了提高估计准确度,并确保可靠的数据解码从单个传感器节点.
主要方法:
- 建议采用修改后的创新方法,以提高对二进制传感器数据的估计准确性.
- 引入了一种新的编码解码策略,以便在聚变中心可靠地检索信息.
- 开发了一个基于矩阵权重和区域组合成员过的分布式聚变算法.
- 优化问题被解决以确定比特速率分配和加权系数.
主要成果:
- 通过优化过增益参数来导出和最小化局部zonotopic集的F半径.
- 建立了足够的条件,以保证化区域型F半径的均界限.
- 该算法证明了对UBB噪声的改进估计准确性和稳定性.
结论:
- 拟议的区域分布式聚变估计算法有效地处理在UBB噪声和有限带宽下具有二进制传感器的非线性系统.
- 开发的编码-解码方法和优化策略确保可靠和准确的状态估计.
- 该算法的实际实用性通过应用到弹道物体跟踪系统来验证.
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