Title :
On blind signal copy for polynomial phase signals
Author :
Zeira, Ariela ; Friedlander, B.
Author_Institution :
Signal Process. Technol. Ltd., Palo Alto, CA, USA
Abstract :
The problem of separating and estimating signals received by an array whose array manifold has an unknown structural form is usually referred to as the blind signal copy problem. In this paper we consider the blind signal copy problem for polynomial phase signals. By deriving the Cramer Rao bound we evaluate the optimal performance achievable by any unbiased estimator. To gain additional insight into this problem we compare the CRB to the bound for the case where the functional form of the array manifold is known. We derive a computationally efficient approximate maximum-likelihood (ML) algorithm and compare its performance with the bound
Keywords :
approximation theory; array signal processing; direction-of-arrival estimation; maximum likelihood estimation; polynomials; statistical analysis; CRB; Cramer Rao bound; approximate maximum likelihood algorithm; array manifold; blind signal copy; functional form; optimal performance; performance; polynomial phase signals; signal estimation; signal separation; statistical properties; unbiased estimator; Array signal processing; Contracts; Cramer-Rao bounds; Frequency; Manifolds; Maximum likelihood estimation; Phased arrays; Polynomials; Signal processing algorithms; Source separation;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.604834