On the Influence of Atmospheric Refractive Index Irregularities on the Resolution Performance of a Radar

Gjessing, Dag T.

doi:10.1007/978-94-010-1531-8_13

Cited by 2 publications

(1 citation statement)

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“…For the purpose of making use of the geometrical shape of the object for detection purposes, we shall, contrary to the above, choose frequencies which are not affected by the detailed molecular structure of the scattering surface. In the absence of these effects, there are three remaining which are of importance [Gjessing, 1975;Lee and Harp, 1969]: the multiplicative effect of atmospheric irregularities (turbulence) and of particulate matter (rain, snow, dust, etc.) on our illuminating electromagnetic wave, and the additive effect of the background scatterers.…”

Section: Optimum Detection and Identification On The Basis Of Geometrmentioning

confidence: 99%

A generalized method for environmental surveillance by remote probing

Gjessing¹

1978

Radio Science

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New components and methods in the field of microwave techniques, electrooptics, computer technology, statistics, and electromagnetics open new and very interesting possibilities with regard to detection and identification problems. The current contribution suggests with varying degrees of substantiation a set of unified detection methods which may conceivably have an impact on several application areas (environmental surveillance, detection/identification of specific objects). The basic principle is the following. Most of the existing detection/identification systems do not make optimum use of all the a priori information that one generally is in possession of with regard to the target of interest. Knowing the geometrical shape of the target of interest and its molecular surface structure (e.g., structure of paint), an illumination function can be structured (matched filter concept) which gives optimum system sensitivity (minimum receiver bandwidth) with respect to the target of interest at the expense of the sensitivity for background objects (interferents). Theoretical results are given in the paper for a limited number of geometrical objects and for two different molecular surface compositions. It is shown that the system sensitivity and identification capability can be improved considerably using the suggested matched filter illumination technique.

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Section: Optimum Detection and Identification On The Basis Of Geometrmentioning

confidence: 99%