Stability Analysis of the QR-Recursive Least Squares Algorithm

نویسندگان

  • Marcio G. Siqueira
  • Paulo S. R. Diniz
چکیده

This paper presents a detailed stability analysis of the QR-RLS algorithm implemented with finite-precision arithmetic. The recursive equations describing the quantization error propagation are deduced and analysed in detail. The stability conditions are then derived. In addition, for the case the tap coefficients are calculed through the backsubstitution algorithm, new analytical expressions for the variance of the deviation in the tap coefficients are presented. The analytical results are verified to be very accurate through simulations.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Approximate QR-Based Algorithms for Recursive Nonlinear Least Squares Estiamtion

This paper proposes new approximate QR-based algorithms for recursive nonlinear least squares (NLS) estimation. Two QR decomposition-based recursive algorithms are introduced based on the classical Gauss-Newton (GN) and Levenberg-Marquardt (LM) algorithms in nonlinear unconstrained optimization or least squares problems. Instead of using the matrix inversion formula, recursive QR decomposition ...

متن کامل

Lattice and QR Decomposition-Based Algorithms for Recursive Least Squares Adaptive Nonlinear Filters*

This paper presents a lattice structure for adaptive Volterra systems. The stucture is applicable to arbitrary planes of support of the Volterra kernels. A fast least squares lattice and a fast QR-lattice adaptive nonlinear filtering algorithms based on the lattice structure are also presented. These algorithms share the fast convergence property of fast least squares transversal Volterra filte...

متن کامل

An inverse QRD-RLS algorithm for linearly constrained minimum variance adaptive filtering

In this paper an inverse QR decomposition based recursive least-squares algorithm for linearly constrained minimum variance filtering is proposed. The proposed algorithm is numerically stable in finite precision environments and is suitable for implementation in systolic arrays or DSP vector architectures. Its performance is illustrated by simulations of a blind receiver for a multicarrier CDMA...

متن کامل

Complex scaled tangent rotations (CSTAR) for fast space-time adaptive equalization of wireless TDMA

A new update algorithm for space–time equalization of wireless time-division multiple access signals is presented. The method is based on a modified QR factorization that reduces the computational complexity of the traditional QR-decomposition based recursive least squares method and maintains numerical stability. Square roots operations are avoided due to the use of an approximately orthogonal...

متن کامل

A Linearly Constrained IQRD-RLS Algorithm for Blind Multiuser Detection in CDMA Systems

In this paper we propose an inverse QR decomposition based recursive least squares algorithm (IQRD-RLS) for the linearly constrained minimum variance (LCMV) receiver for CDMA transmission systems. The proposed algorithm is numerically stable in finite precision environments and it is suitable for implementation in systolic arrays or DSP vector architectures. It is shown through computer simulat...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004