Title :
Separation of digital communication signals through joint space-time decorrelation
Author :
Sala-Alvarez, J. ; Vázquez-Grau, G.
Author_Institution :
Dept. of Signal Theory & Commun., Univ. Politecnica de Catalunya, Barcelona, Spain
Abstract :
In this paper we derive the optimum linear algorithm for the separation by an array of a given number of cyclostationary signals of the type encountered in digital communications. Spatially and temporally uncorrelated noise is considered at the input to each sensor. It is proved that the optimum signal separator can be expressed as a matrix transfer function in the z-domain. It is intended that this algorithm be used as a benchmark to test the performance of adaptive schemes. Therefore, bounds on the noise estimation covariance are obtained assuming perfect knowledge of the number of sources as well as of their timing and DOA
Keywords :
adaptive signal processing; array signal processing; covariance analysis; digital communication; digital signals; noise; transfer function matrices; DOA; adaptive schemes performance; array; benchmark; cyclostationary signals; digital communication signals separation; joint space-time decorrelation; matrix transfer function; noise estimation covariance; optimum linear algorithm; spatially uncorrelated noise; temporally uncorrelated noise; timing; z-domain; AWGN; Decorrelation; Delay; Digital communication; Interference; Matched filters; Multiaccess communication; Performance analysis; Pulse modulation; Random sequences;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.389850
