Spatio-temporal equalization for wireless communication

Author

Alspector, Joshua ; Norgand, J.D. ; Parish, John

Author_Institution

Dept. of Electr. & Comput. Eng., Colorado Univ., Colorado Springs, CO, USA

fYear

1998

fDate

9-12 Aug 1998

Firstpage

165

Lastpage

168

Abstract

Problems with standard cellular systems include limited bandwidth, susceptibility to interference and limits on the number of users per cell. Part of the bandwidth problem can be improved by adding adaptive equalization to standard wireless digital data links. Interference from other users and limitations on the number of users per cell are problems that can be ameliorated by adaptive beamforming antenna arrays. Both spatial (beamforming) and temporal (equalization) processing can be optimized jointly, thus providing better performance than either separately

Keywords

adaptive antenna arrays; adaptive equalisers; array signal processing; bandlimited communication; cellular radio; digital radio; direction-of-arrival estimation; linear antenna arrays; radial basis function networks; radiofrequency interference; space-time adaptive processing; telecommunication computing; DOA; adaptive beamforming antenna arrays; adaptive equalization; analog signal processing; cellular systems; interference susceptibility; joint optimization; limited bandwidth; neural network processor; performance; radial basis function neural network; spatial processing; spatio-temporal equalization; temporal processing; uniform linear array; wireless LAN; wireless communication; wireless digital data links; Adaptive arrays; Adaptive equalizers; Analog computers; Bandwidth; Digital signal processing; Digital signal processing chips; Interference; Neurons; Sampling methods; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Radio and Wireless Conference, 1998. RAWCON 98. 1998 IEEE

Conference_Location

Colorado Springs, CO

Print_ISBN

0-7803-4988-1

Type

conf

DOI

10.1109/RAWCON.1998.709162

Filename

709162