MUSIC AND MAXIMUM LIKELIHOOD USING A REFINED PROPAGATION MODEL: PERFORMANCE COMPARISON FOR RADAR LOW-ANGLE TRACKING

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Authors
  1. Bosse, E.
  2. Turner, R.M.
  3. Brookes, D.
Corporate Authors
Defence Research Establishment Ottawa, Ottawa ONT (CAN)
Abstract
The performance of the MUSIC algorithm and many other superresolution methods degrades severely with the highly correlated multipath signals encountered in radar low-angle tracking. This deficiency is overcome by deriving new versions of the MUSIC and Maximum Likelihood (ML)algorithms which use a search vector based on a model of the specularmultipath. The performance of these two approaches is then compared with that of the well-known MUSIC algorithm using spatial smoothing. Simulations and experiments at X-band indicate that the use of a specular model combined with an array having frequency agility gives much more accurate tracking than do the conventional approaches. The experiments were conducted at Sylt (North Sea), Germany, using corner reflectors mounted on poles inserted in the sea bed; sea conditions varied fromsea state one to five.
Report Number
DREO-1122 —
Date of publication
15 Jan 1992
Number of Pages
48
DSTKIM No
93-00115
CANDIS No
127363
Format(s):
Hardcopy;Originator's fiche received by DSIS;Document Image stored on Optical Disk

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