By Topic

Joint Generalized Antenna Combination and Symbol Detection Based on Minimum Bit Error Rate: A Particle Swarm Optimization Approach

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)
Kyar-Chan Huang ; Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei ; Wen-Hsien Fang ; Hoang-Yang Lu ; Yie-Tarng Chen

In order to reduce hardware cost and achieve superior performance in multi-input multi-output (MIMO) systems, this paper proposes a novel scheme for joint antenna combination and symbol detection. More specifically, the new approach simultaneously determines the transformation weighting for antenna combination to lower the RF chains called for and to design the minimum bit error rate (MBER) detector to effectively mitigate the impairment due to interference. The joint decision statistic, however, is highly nonlinear and the particle swarm optimization (PSO) algorithm is employed to reduce the computational overhead. Conducted simulation results show that the new approach yields satisfactory performance with reduced computational overhead compared with pervious works.

Published in:

Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE

Date of Conference:

11-14 May 2008