Ocean-clutter model for high-frequency radar

Author

Khan, Rafaat H.

Author_Institution

Centre for Cold Ocean Resources Eng., Memorial Univ. of Newfoundland, St. John´´s, Nfld., Canada

Volume

16

Issue

2

fYear

1991

fDate

4/1/1991 12:00:00 AM

Firstpage

181

Lastpage

188

Abstract

The time-varying behavior of ocean-clutter signals is investigated with the objective of clutter suppression for target detection. It is shown that the ocean clutter may be adequately modeled with two narrowband Bragg signals with time-varying frequencies. Low-order adaptive-prediction filters can thus be used to suppress the ocean clutter. Simple adaptive filters can also be designed to improve the signal-to-clutter ratio for low Doppler target signals. It is postulated that the time variations of the Bragg frequencies are related to the ocean wave-height spectrum. Initial results along these lines suggest that this may lead to an alternate, more robust method of estimating the sea state from HF radar data

Keywords

Doppler effect; adaptive filters; filtering and prediction theory; interference suppression; oceanographic techniques; radar applications; radar clutter; signal detection; state estimation; Doppler target signals; HF radar data; adaptive filters; adaptive-prediction filters; clutter suppression; high-frequency radar; linear prediction model; narrowband Bragg signals; ocean-clutter signals; sea; signal-to-clutter ratio; target detection; time variations; time-varying frequencies; wave-height spectrum; Adaptive filters; Clutter; Frequency; Narrowband; Object detection; Oceans; Radar; Robustness; Signal design; State estimation;

fLanguage

English

Journal_Title

Oceanic Engineering, IEEE Journal of

Publisher

ieee

ISSN

0364-9059

Type

jour

DOI

10.1109/48.84134

Filename

84134