Reduced-order state estimation for linear time-varying systems

Reduced-order State Estimation for Linear Time-varying Systems

We consider reduced-order and subspace state estimators for linear discrete-time systems with possibly time-varying dynamics. The reducedorder and subspace estimators are obtained using a finite-horizon minimization approach, and thus do not require the solution of algebraic Lyapunov or Riccati equations.

Reduced-Order Modeling of Time-Varying Systems

We present algorithms for reducing large circuits, described at SPICE-level detail, to much smaller ones with similar input–output behavior. A key feature of our method, called timevarying Padé (TVP), is that it is capable of reducing time-varying linear systems. This enables it to capture frequency-translation and sampling behavior, important in communication subsystems such as mixers and swit...

Reduced-Order Modelling of Time-Varying Systems

We present a theory for reduced-order modelling of linear time-varying systems, together with efficient numerical methods for application to large systems. The technique, called TVP (Time-Varying Padk), is applicable to deterministic as well as noise analysis of many types of communication subsystems, such as mixers and switched-capacitor filters, for which existing model reduction techniques c...

channel estimation for mimo-ofdm systems

تخمین دقیق مشخصات کانال در سیستم های مخابراتی یک امر مهم محسوب می گردد. این امر به ویژه در کانال های بیسیم با ‏خاصیت فرکانس گزینی و زمان گزینی شدید، چالش بزرگی است. مقالات متعدد پر از روش های مبتکرانه ای برای طراحی و آنالیز ‏الگوریتم های تخمین کانال است که بیشتر آنها از روش های خاصی استفاده می کنند که یا دارای عملکرد خوب با پیچیدگی ‏محاسباتی بالا هستند و یا با عملکرد نه چندان خوب پیچیدگی پایینی...

Estimation of Time-varying Linear Systems