DIRECTION FINDING FOR DISTRIBUTED SIGNALS

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Authors
  1. Meng, Y.
  2. Wong, K.M.
  3. Wu, Q.
Corporate Authors
McMaster Univ, Hamilton ONT (CAN) Communications Research Lab;Defence Research Establishment Ottawa, Ottawa ONT (CAN)
Abstract
In the report, the problem of estimating the directions of arrival (DOA) of distributed signals is examined. A mathematical model is first established by making some reasonable assumptions. The correlation matrix of a distributed signal is then derived. Examples of signals with different distributions are presented. The important properties of the correlation matrix are studied revealing that even if the matrix is of full rank (being equal to the number of sensors) which renders the conventional high resolution array processing methods inapplicable in this case, the dimensionality of the signal subspace can be approximated to a number usually much smaller than the number of sensors. From this observation and utilizing the orthogonality of the signal and noise subspaces, two groups of algorithms (DISPARE and VEC-MUSIC) have been developed. Several computer simulation examples are carried out to examine the performance of the algorithms under various environments. It is observed that, in general, the algorithm DISPARE 1 may not be robust in the sense that it may yield unacceptable results under some particular conditions. On the other hnad, DISPARE 2 generlaly yields the least estimation error, being slightly better than VEC-MUSIC. TRUNCATED
Keywords
Superresolution;Distributed sources;Eigen decomposition;MUSIC;High resolution;Low angle tracking;Ionospheric scattering
Report Number
CRL-286;DREO-CR-94-644 — Contractor Report (Final)
Date of publication
01 Apr 1994
Number of Pages
87
DSTKIM No
95-00976
CANDIS No
148565
Format(s):
Hardcopy;Document Image stored on Optical Disk

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