DocumentCode
3341497
Title
Blind space-time processor for SINR maximization in CDMA cellular systems
Author
Ramos, Javier ; Zoltowski, Michael D.
Author_Institution
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
fYear
1997
fDate
16-18 April 1997
Firstpage
273
Lastpage
276
Abstract
Previously (Ramos and Zoltowski, 1997), we proposed a space-time adaptive RAKE receiver for CDMA that asymptotically provides the optimum combination of space-time samples for maximizing the SINR for the signal with the desired code (SDC) by canceling strong multi-user access interference (MUAI) and optimally combining the multipath. A variation of this 2D RAKE receiver is presented herein yielding a faster convergence rate and lower variance in the output SINR. In contrast to previously proposed techniques, bit synchronization for the SDC is not required. The algorithm presented herein asymptotically provides the exact time of arrivals of the multipaths within a bit period, and subsequently the optimum space-time weights for combining the fingers across both space and time. The instrumental property exploited in this technique is the fact that although the respective spectra of the SDC and MUAI components at the output of the matched filter are statistically equal, the respective spectra of their squared values differ.
Keywords
adaptive systems; cellular radio; code division multiple access; convergence of numerical methods; interference suppression; land mobile radio; matched filters; multipath channels; optimisation; radio receivers; radiofrequency interference; spectral analysis; CDMA cellular systems; SINR maximization; algorithm; blind space-time processor; convergence rate; instrumental property; matched filter; multipath time of arrivals; optimum space-time weights; space-time adaptive RAKE receiver; strong multi-user access interference cancellation; variance; Antenna arrays; Antennas and propagation; Convergence; Fading; Instruments; Interference cancellation; Multiaccess communication; Multipath channels; Narrowband; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Advances in Wireless Communications, First IEEE Signal Processing Workshop on
Conference_Location
Paris, France
Print_ISBN
0-7803-3944-4
Type
conf
DOI
10.1109/SPAWC.1997.630367
Filename
630367
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