Neuro-Adaptive $H_{\infty}$ Estimation and Its Application to Improved Tracking in GPS Receivers

Neuro-Adaptive $H_{\infty}$ Estimation and Its Application to Improved Tracking in GPS Receivers
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神经自适应 $H_{infty}$ 估计及其在改进 GPS 接收器跟踪中的应用

DOI:
10.1109/tie.2008.2008343
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发表时间:
2009
影响因子:
7.7
通讯作者:
U. Shaked
U. Shaked
中科院分区:
计算机科学1区
文献类型:
--
作者:
I. Yaesh;U. Shaked

文献摘要

被引文献

相似文献

本文提出了一种改进H ∞最优滤波器跟踪性能的神经自适应方法。该设计方法是基于嵌入的H infin最优滤波器内的一个简化的自适应控制回路,是由创新过程驱动。整个估计方案的稳定性建立在严格的被动条件下的相关系统。建议的方法被应用于改善用户操作期间的GPS接收机的跟踪性能。
A neuro-adaptive scheme is suggested for improving the tracking properties of H infin-optimal filters. The design approach is based on embedding the H infin-optimal filter within a simplified adaptive control loop that is driven by the innovation process. The stability of the overall estimation scheme is established under strictly passive conditions of a related system. The suggested method is applied to improve the tracking properties of a GPS receiver during user maneuvers.