Adaptive canceller for elevation angle estimation in the presence of multipath

Abstract

The paper describes a new adaptive canceller for estimating the elevation angle in a low-angle tracking radar environment in the presence of specular and diffuse multipath. The adaptation is achieved using the complex least-mean-squares (LMS) algorithm. Computer-simulation results are included to demonstrate the usefulness of this scheme for estimating the elevation angle when it is a small fraction of a standard beamwidth.

Trigonometric high-resolution method to resolve two close targets

“…This problem has attracted the attention of many researchers in the field of radar because of its importance [1][2][3][4][5][6]. The simplest solution so far is given by Cantrell et al [2] and Gordon [3], who derived a formula for the maximum-likelihood angle estimator (MLE) which involves the solution of a quartic equation for the nonsymmetric case and a quadratic equation for the symmetric case (the target and its image located symmetrically about the centre of the aperture pattern in the elevation plane).…”