Title :
Maximum likelihood multipath channel parameter estimation in CDMA systems using antenna arrays
Author :
Sengupta, Chaitali ; Cavallaro, Joseph R. ; Aazhang, Behnaam
Author_Institution :
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
Abstract :
The problem addressed in this paper is the estimation of the channel parameters in a code division multiple access (CDMA) communication system, in the presence of multipath effects and multiple sensors at the base station receiver. The algorithm presented solves the problem by estimating a composite channel impulse response of each user, which can be directly used in the detection process to appropriately modify the spreading code of the user. In addition, the algorithm combines the benefit of spatial processing in the form of an antenna array at the receiver to gain an increase in performance of the system
Keywords :
antenna arrays; array signal processing; code division multiple access; land mobile radio; maximum likelihood estimation; multipath channels; multiuser channels; radio links; receiving antennas; signal detection; spread spectrum communication; transient response; CDMA systems; algorithm; antenna arrays; base station receiver; code division multiple access; composite channel impulse response; detection process; maximum likelihood parameter estimation; multipath channel; multipath effects; multiple sensors; receiver; spatial processing; spreading code; system performance; Antenna arrays; Base stations; Maximum likelihood detection; Maximum likelihood estimation; Multiaccess communication; Multipath channels; Parameter estimation; Performance gain; Receiving antennas; Sensor systems;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 1998. The Ninth IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
0-7803-4872-9
DOI :
10.1109/PIMRC.1998.731429