By Topic

Hybrid stable fast Kalman and variable step-size LMS decision feedback equalizer for 8-VSB DTV

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Jong-Seob Baek ; Sch. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea ; Young-Jin Lee ; Yong-Tae Lee ; Jong-Soo Seo

In this paper, stable fast Kalman (SFK) and variable step size (VSS) LMS algorithms for use in training mode and decision-directed mode equalizations, respectively, are proposed in order to improve the performance of terrestrial 8-VSB DTV receiver. The SFK algorithm is intended for fast initial convergence and optimality of estimating the equalization coefficients in the training mode. The VSS LMS algorithm is employed for its simple implementation, robustness, good tracking behaviors, and its ability to update the step-size adaptively in the multi-path fading. Our simulation results show its fast initial convergence and stability of steady-state behavior over the conventional adaptive equalizer and other algorithms. The results also show that the proposed equalizer provides about 1.5 dB signal-to-noise ratio (SNR) improvement at SER of 3.0×10-6 as compared to LMS DFE.

Published in:

Vehicular Technology Conference, 2003. VTC 2003-Spring. The 57th IEEE Semiannual  (Volume:4 )

Date of Conference:

22-25 April 2003