Title :
Reduced-rank adaptive MMSE equalization for the forward link in high-speed CDMA
Author :
Chowdhury, Samina ; Zoltowski, Michael D. ; Goldstein, J.Scott
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
The chip-level MMSE estimate of the (multi-user) synchronous sum signal transmitted by the base-station, followed by a correlate and sum, has been shown to perform very well in the CDMA forward link using orthogonal channel codes. In this paper, adaptive reduced-rank, chip-level MMSE estimation based on the Multi-Stage Nested Wiener Filter (MSNWF) is presented. Our simulations show that, adaptive MSNWF operating in a very low rank subspace and using the pilot channel for training can achieve near full-rank performance at a fast convergence speed
Keywords :
Wiener filters; adaptive equalisers; adaptive estimation; channel coding; code division multiple access; digital radio; error statistics; filtering theory; mobile radio; BER performance; CDMA forward link; adaptive MMSE equalization; adaptive MMSE estimation; base-station; bit error rate; chip-level MMSE estimation; high-speed CDMA; multi-stage nested Wiener filter; multi-user synchronous sum signal; orthogonal channel codes; reduced rank filtering; reduced-rank MMSE estimation; wideband CDMA; Adaptive equalizers; Bit error rate; Convergence; Delay; Downlink; Interference; Matched filters; Multiaccess communication; Receiving antennas; Wiener filter;
Conference_Titel :
Circuits and Systems, 2000. Proceedings of the 43rd IEEE Midwest Symposium on
Conference_Location :
Lansing, MI
Print_ISBN :
0-7803-6475-9
DOI :
10.1109/MWSCAS.2000.951574
