Title :
The stochastic CRB for array processing in unknown noise fields
Author :
Gershman, Alex B. ; Pesavento, Marius ; Stoica, Petre ; Larsson, Erik G.
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada
Abstract :
The stochastic Cramer-Rao bound (CRB) plays an important role in array processing because several high-resolution direction-of-arrival (DOA) estimation methods are known to achieve! this bound asymptotically In this paper, we study the stochastic CRB on DOA estimation accuracy in the general case of arbitrary unknown noise field parametrized by a vector of unknowns. We derive explicit closed-form expressions for the CRB and examine its properties theoretically and by representative numerical examples
Keywords :
array signal processing; covariance matrices; direction-of-arrival estimation; stochastic processes; white noise; CRB; DOA estimation; array processing; closed-form expressions; covariance matrix; direction-of-arrival estimation; high-resolution methods; sensor array; stochastic Cramer-Rao bound; unknown noise field; unknown noise fields; white noise; Array signal processing; Closed-form solution; Colored noise; Control systems; Covariance matrix; Direction of arrival estimation; Maximum likelihood estimation; Sensor arrays; Stochastic resonance; White noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940277
