By Topic

Adaptive IIR filtering for asynchronous multiuser CDMA detection

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

2 Author(s)
Teng Joon Lim ; Centre for Wireless Commun., Singapore ; Siew Ying Wong

The use of adaptive finite-impulse response (FIR) filters to suppress multiple access interference (MAI) in code division multiple access (CDMA) receivers has been well documented. But the linear minimum mean squared error (MMSE) detector is in fact the Kalman filter which is a first-order recursive filter for asynchronous multiuser CDMA systems. Therefore in an adaptive implementation, the filter structure should be a first-order IIR filter. Of the host of adaptive IIR filtering algorithms, we choose to study the simplest of them, the recursive least mean square (LMS) method. Although mis-convergence has been reported for this algorithm when the system order is under-estimated, in our case this does not occur since the system order is unity at all times. Exact modelling is therefore possible, and convergence to the global minimum is seen in all our simulations using an algorithm that has a complexity linear in the number of adaptive parameters.

Published in:

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on  (Volume:2 )

Date of Conference:

24-27 Oct. 1999