Efficient Computation of the Eigensubspace for Array Signal Processing
Resource
Radar, Sonar and Navigation, IEE Proceedings -
Journal
IEE Proceedings- Radar, Sonar and Navigation
Journal Volume
146
Journal Issue
5
Pages
235-242
Date Issued
1999-10
Author(s)
Abstract
The authors present an efficient technique for computing the eigensubspace spanned by a received array data vector. First, the sensor array is partitioned into several subarrays without overlapped sensors. The basis matrix for the signal subspace of each subarray is computed. Using these basis matrices, an additional subarray is constructed and the basis matrix for the corresponding signal subspace is also computed. By using these subarray basis matrices, the basis matrix for the signal subspace of the original sensor array can be computed with reduced computing cost. The statistical performance and computational complexity for adaptive beamforming and for bearing estimation using the proposed technique are evaluated. The theoretical results are confirmed and illustrated by simulation results.
Type
journal article
File(s)![Thumbnail Image]()
Loading...
Name
00819789.pdf
Size
773.55 KB
Format
Adobe PDF
Checksum
(MD5):b87e526d5688e6b9e7fb06555a75910b