Title :
Two-dimensional spatial-spectrum estimation of coherent signals without spatial smoothing and eigendecomposition
Author :
Li, P. ; Sun, J. ; Yu, B.
Author_Institution :
Dept. of Electron. Eng., Northwestern Polytech. Univ., Xian, China
fDate :
10/1/1996 12:00:00 AM
Abstract :
In array signal processing, most of the high resolution methods for direction of arrival (DOA) estimation are eigenstructure-based methods. The computational burden involved in the eigendecomposition limits the application of eigenstructure-based algorithms for real environments. A cross-covariance matrix constructed to be of full rank regardless of the coherence of the signals is suggested to avoid employing the technique of spatial smoothing in two-dimensional (2-D) spatial-spectrum estimation of coherent signals. The propagator method is used to perform the noise subspace estimation without any eigendecomposition. Furthermore, the new method can handle unknown correlated noise fields. The effects of the unknown noise are eliminated by using a rectangular planar array and a separately placed single sensor. All these properties make real-time implementation of the method possible
Keywords :
array signal processing; correlation methods; covariance matrices; direction-of-arrival estimation; noise; signal resolution; spectral analysis; 2D spatial-spectrum estimation; DOA estimation; array signal processing; coherent signals; correlated noise fields; cross-covariance matrix; direction of arrival estimation; full rank matrix; high resolution methods; noise subspace estimation; propagator method; real-time implementation; rectangular planar array; sensor;
Journal_Title :
Radar, Sonar and Navigation, IEE Proceedings -
DOI :
10.1049/ip-rsn:19960345