DocumentCode :
294802
Title :
Blind adaptive beamforming for narrowband co-channel digital communications signals in a multipath environment
Author :
Zoltowski, Michael D. ; Ramos, Javier
Author_Institution :
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
Volume :
3
fYear :
1995
fDate :
9-12 May 1995
Firstpage :
1745
Abstract :
The problem addressed is that of narrowband digital cellular communications in the presence of multipath and co-channel interferers having the same symbol rate and same overall signal characteristics as the desired source. For a given signal source, an algorithm is presented for blindly estimating the weight vector yielding the optimum SINR at the beamformer output. The instrumental quantity, denoted Sxx(f), is the Fourier transform of the expected value of the zero-lag autocorrelation matrix for one symbol period. The proposed scheme employs the PRO-ESPRIT algorithm to exploit the relationship between the timing offset and optimum beamforming weight vector for each source and the principal generalized eigenvalues and eigenvectors of the matrix pencil {Sxx(1/T0), Sxx(O)}, where 1/T0 is the symbol rate. Simulations are presented showing the rapid convergence of the algorithm and an improvement of several dB over the subspace-constrained Phase-SCORE algorithm
Keywords :
Fourier transforms; array signal processing; cellular radio; cochannel interference; convergence of numerical methods; correlation methods; digital radio; digital signals; eigenvalues and eigenfunctions; land mobile radio; multipath channels; radiofrequency interference; radiowave propagation; Fourier transform; PRO-ESPRIT algorithm; beamformer output; blind adaptive beamforming; co-channel interference; convergence; eigenvalues; eigenvectors; instrumental quantity; multipath; multipath environment; narrowband co-channel digital communications signals; narrowband digital cellular communications; optimum SINR; optimum beamforming weight vector; signal characteristics; simulations; symbol period; symbol rate; timing offset; weight vector; zero-lag autocorrelation matrix; Array signal processing; Autocorrelation; Convergence; Eigenvalues and eigenfunctions; Fourier transforms; Instruments; Narrowband; Signal to noise ratio; Timing; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
ISSN :
1520-6149
Print_ISBN :
0-7803-2431-5
Type :
conf
DOI :
10.1109/ICASSP.1995.480035
Filename :
480035
Link To Document :
بازگشت