Generalized Optimal Step-Size for Blind Multichannel LMS System Identification
نویسندگان
چکیده
منابع مشابه
The Complex Multichannel Lms Algorithm for Adaptive Blind System Identification
Existing adaptive algorithms for blind SIMO system identification are implicitly derived for real signals. In this paper, we extend the multichannel LMS algorithm to the complex case. This is useful, for example, in multirate implementations of the algorithms where the subband signals are usually complex. With this algorithm, the channels are identified correctly up to a complex multiplicative ...
متن کاملVariable step-size LMS blind CDMA multiuser detector
Adaptive least mean square (LMS) filters with or without training sequences, which are known as training-based and blind detectors respectively, have been formulated to counter interference in CDMA systems. The convergence characteristics of these two LMS detectors are analyzed and compared in this paper. We show that the blind detector is superior to the training-based detector with respect to...
متن کاملA Variable Step-Size LMS Algorithm
The paper proposes a new adaptive VS LMS algorithm, obtained by combining LMS algorithms with different step sizes without calculating their weighting coefficients. As a criterion for choosing the VS LMS algorithm step size, we take the ratio between the weighting coefficients' bias and variance. Identification of an unknown system in nonstationary noisy environment is performed and simulations...
متن کاملA variable step size LMS algorithm
A new LMS-type adaptive filter with a variable step size is introduced. The step size increases or decreases as the mean-square error increases or decreases, allowing the adaptive filter to track changes in the system as well as produce a small steady state error. The convergence and steady state behavior of the algorithm are analyzed. These results reduce to well-known ones when specialized to...
متن کاملIdentifiability Conditions for Blind and Semi-blind Multiuser Multichannel Identification
We explore the identifiability conditions for blind and semi-blind multiuser multichannel identification. Starting with the deterministic approach, we compare the identifiability conditions on the channel and the sources of training sequence based channel identification, blind and semi-blind channel identification. Further on, we use the stochastic approach with Gaussian priors for the source s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Signal Processing Letters
سال: 2006
ISSN: 1070-9908
DOI: 10.1109/lsp.2006.876341