A New Adaptive Linear Multiuser Detector based on Approximate Negentropy Minimization

Sooyong Choi, Te Won Lee

Research output: Contribution to conferencePaper

Abstract

In this paper, we introduce an information theoretic learning method as a new approach to multiuser detection. We propose a new adaptive linear multiuser detector based on approximate negentropy minimization of the output error and investigate its characteristics and performance. Negentropy includes higher order statistical information and its minimization provides improved converge and performance compared to traditional methods such as minimum mean squared error. The proposed algorithm is derived under the assumption that a Gaussian variable has the largest entropy among all random variables of unit variance and hence a normalization process is required. Simulation experiments show that our multiuser detector has similar bit error rate (BER) characteristics to the least BER multiuser detector. Furthermore, the proposed detector has faster convergence speed than the LBER detector.

Original languageEnglish
Pages3346-3350
Number of pages5
Publication statusPublished - 2003 Dec 1
EventIEEE Global Telecommunications Conference GLOBECOM'03 - San Francisco, CA, United States
Duration: 2003 Dec 12003 Dec 5

Other

OtherIEEE Global Telecommunications Conference GLOBECOM'03
CountryUnited States
CitySan Francisco, CA
Period03/12/103/12/5

Fingerprint

Detectors
Bit error rate
Multiuser detection
Random variables
entropy
Entropy
learning
detector
simulation
experiment
Experiments
rate
method

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Global and Planetary Change

Cite this

Choi, S., & Lee, T. W. (2003). A New Adaptive Linear Multiuser Detector based on Approximate Negentropy Minimization. 3346-3350. Paper presented at IEEE Global Telecommunications Conference GLOBECOM'03, San Francisco, CA, United States.
Choi, Sooyong ; Lee, Te Won. / A New Adaptive Linear Multiuser Detector based on Approximate Negentropy Minimization. Paper presented at IEEE Global Telecommunications Conference GLOBECOM'03, San Francisco, CA, United States.5 p.
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Choi, S & Lee, TW 2003, 'A New Adaptive Linear Multiuser Detector based on Approximate Negentropy Minimization' Paper presented at IEEE Global Telecommunications Conference GLOBECOM'03, San Francisco, CA, United States, 03/12/1 - 03/12/5, pp. 3346-3350.

A New Adaptive Linear Multiuser Detector based on Approximate Negentropy Minimization. / Choi, Sooyong; Lee, Te Won.

2003. 3346-3350 Paper presented at IEEE Global Telecommunications Conference GLOBECOM'03, San Francisco, CA, United States.

Research output: Contribution to conferencePaper

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Choi S, Lee TW. A New Adaptive Linear Multiuser Detector based on Approximate Negentropy Minimization. 2003. Paper presented at IEEE Global Telecommunications Conference GLOBECOM'03, San Francisco, CA, United States.