Paper
1 December 1991 Adaptive filters and blind equalizers for mixed-phase channels
Jitendra K. Tugnait
Author Affiliations +
Abstract
We propose a new approach to recursive estimation of the parameters of finite impulse response (FIR) and infinite impulse response (IIR) non-Gaussian signals which are assumed to be generated by driving a finite-dimensional channel (system) by an independent identically distributed (i.i.d.) non-Gaussian sequence. The problem is addressed in a blind setting, i.e., only the channel output is observed, not the input to it. The signal model is allowed to be nonminimum phase, hence, the model is applicable to the problem of blind channel equalization in data communication systems. The proposed recursive parameter estimator is shown to be globally convergent, i.e., the parameter estimator converges to the true model regardless of its initialization. The proposed parameter estimator is based upon a two model decomposition approach: a spectrally equivalent minimum phase (SEMP) system in cascade with an allpass system.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jitendra K. Tugnait "Adaptive filters and blind equalizers for mixed-phase channels", Proc. SPIE 1565, Adaptive Signal Processing, (1 December 1991); https://doi.org/10.1117/12.49778
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Signal processing

Data modeling

Statistical analysis

Systems modeling

Digital filtering

Signal to noise ratio

Filtering (signal processing)

RELATED CONTENT


Back to Top