Title :
Statistical analysis of beam-space estimation for direction-of-arrivals
Author :
Li, Fu ; Liu, Hui
Author_Institution :
Dept. of Electr. Eng., Portland State Univ., OR, USA
fDate :
3/1/1994 12:00:00 AM
Abstract :
The authors analyze the beam-space performance of the DOA estimation for several subspace processing algorithms in a unified fashion based on a finite amount of measurements. The mean-squared errors (MSE) of the beam-space DOA estimation for these algorithms are expressed; in a single formula using physical parameters like array manifold, beamformer matrix. The important properties of beam-space performance are revealed; for instance, increasing beam-space dimension does not always reduce MSE for all algorithms. Also, the criteria for designing minimum mean-squared error beamformers are discussed
Keywords :
array signal processing; matrix algebra; statistical analysis; DOA estimation; MSE; array manifold; beam-space dimension; beam-space estimation; beam-space performance; beamformer matrix; direction-of-arrivals; mean-squared errors; measurements; minimum mean-squared error beamformers; statistical analysis; subspace processing algorithms; Algorithm design and analysis; Bismuth; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Multiple signal classification; Performance analysis; Phased arrays; Sensor arrays; Statistical analysis;
Journal_Title :
Signal Processing, IEEE Transactions on