Music and maximum likelihood using a refined propagation model : performance comparison for radar low-angle tracking (U) / by Eloi Bossé, Ross M. Turner and Daniel Brookes.: DR52-17/39-1992E-PDF

"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 specular multipath. 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 radar 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 from sea state one to five"--Abstract, page iii.

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.941987&sl=0

• MARC XML format
• MARC HTML format

Request alternate formats