Title :
A robust and high resolution adaptive eigensubspace algorithm for nonstationary environments
Author :
Yang, Jar-Ferr ; Lin, Hui-Ju ; Ho, J.-C.
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Taiwan
Abstract :
A robust and high-resolution adaptive eigensubspace algorithm which generalizes the inflation method is proposed. The convergence and initialization behavior of the algorithm and its parallelization surpass those of the Pisarenko harmonic retrieval (PHR) algorithm and other adaptive algorithms, if the number of sources is not known. The algorithm is suitable for the adaptive processing needed for tracking nonstationary signal parameter
Keywords :
adaptive filters; signal detection; signal processing; tracking; adaptive eigensubspace algorithm; convergence; inflation method; initialization behavior; nonstationary environments; nonstationary signal parameter; parallelization; tracking; Adaptive algorithm; Convergence; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Frequency estimation; Robustness; Sensor arrays; Signal processing; Signal resolution;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.116168
