Abstract

AbstractDirection‐of‐arrival (DoA) estimation accuracy can be degraded due to installation effects, such as platform reflections, diffraction from metal edges, and reflections and refraction in the radome. To analyze these effects, this paper starts with a definition of the term installation error related to DoA estimation. Thereafter, we present a postprocessing method, which can be used to determine the DoA estimation accuracy for installed antennas. By computing synthetic signals from the installed far‐field data, it is possible to analyze the installation errors described above, in addition to analyzing array model errors. The method formulation is general, thus allowing generic array configurations, installation configurations, and direction‐finding algorithms to be studied. The use of the presented method is demonstrated by a case study of a wideband four‐quadrant array. In this case study, we investigate the installation errors due to a single‐shell radome. Thereafter, the effects of platform reflections are also analyzed, for an antenna placement in the tail of a fighter aircraft. Simulation results are presented for both the monopulse and the MUltiple SIgnal Classification direction‐finding algorithms.

Highlights

  • Direction-of-arrival (DoA) estimation is an important task for a number of active and passive sensors

  • The Monopulse DF Algorithm Applied to Four-Quadrant Arrays we briefly review the derivation of the monopulse DF algorithm applied to four-quadrant arrays

  • The ambiguity-free region is smaller in the upper part of the frequency band, as shown in (22) for the monopulse method. These ambiguities are present in the MUltiple SIgnal Classification (MUSIC) estimation, which can be observed as multiple peaks in the spectrum

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Summary

Introduction

Direction-of-arrival (DoA) estimation is an important task for a number of active and passive sensors (see, e.g., Filik & Tuncer, 2009; Tuncer & Özgen, 2009; Tuncer et al, 2007). Passive DF systems are used in a number of electronic warfare (EW) applications, such as surveillance of radar signals in electronic support measures and electronic intelligence (De Martino, 2012). An electronic intelligence system typically has strict requirements on DoA estimation accuracy, while a radar warning receiver instead has strict requirements on fast processing and detection speed, with less strict requirements on DoA estimation accuracy. These requirements directly influence the choice of antenna configuration and DF algorithm and how the antennas are installed on the platform

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