Title :
Subspace adaptive filtering techniques for multi-sensor DS-CDMA interference suppression
Author :
Xu, Weiping ; Honig, Michael L. ; Zeidler, James R. ; Milstein, Laurence B.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
Abstract :
The performance of two subspace adaptive filtering techniques for multi-sensor DS-CDMA interference suppression is evaluated in the presence of frequency-selective fading. The first technique partially despreads (PD) the received signal, which is coherently combined with one of three different interference suppression filters: an exponential least squares (ELS) adaptive algorithm, a block least squares (BLS) adaptive algorithm, or an optimal MMSE filter to compute the filter coefficients. The second technique projects the received vectors onto an estimated signal subspace obtained by an appropriate eigendecomposition, which is coherently combined with a BLS adaptive algorithm.
Keywords :
adaptive filters; array signal processing; code division multiple access; eigenvalues and eigenfunctions; fading; interference suppression; least mean squares methods; spread spectrum communication; BLS adaptive algorithm; block least squares adaptive algorithm; eigendecomposition; estimated signal subspace; exponential least squares adaptive algorithm; filter coefficients; frequency-selective fading; multi-sensor DS-CDMA interference suppression; optimal MMSE filter; partial despreading; performance; received signal; subspace adaptive filtering techniques; Adaptive algorithm; Adaptive filters; Baseband; Fading; Frequency; Interference suppression; Least squares methods; Multiaccess communication; Multiple access interference; Vectors;
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5148-7
DOI :
10.1109/ACSSC.1998.750924
