Title :
Large sample performance analysis of ACMA
Author :
Van der Veen, Alle-Jan
Author_Institution :
Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands
fDate :
6/23/1905 12:00:00 AM
Abstract :
The "algebraic constant modulus algorithm" (ACMA) is a noniterative block algorithm for blind separation of constant modulus sources. We previously showed that, unlike CMA, it asymptotically converges to the (non-blind) Wiener receiver. We present a finite sample statistical performance analysis. This can be used to predict the SINR performance, as well as the deviation from the Wiener receivers. The theoretical performance is illustrated by numerical simulations and shows a good match
Keywords :
receivers; signal processing; statistical analysis; CMA; SINR performance; Wiener receiver; algebraic constant modulus algorithm; blind source separation; constant modulus sources; large sample performance analysis; noniterative block algorithm; statistical analysis; Additive noise; Algorithm design and analysis; Covariance matrix; Iterative algorithms; Numerical simulation; Performance analysis; Signal to noise ratio; Statistics; Symmetric matrices; Vectors;
Conference_Titel :
Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
Print_ISBN :
0-7803-7011-2
DOI :
10.1109/SSP.2001.955322
