A DOA Estimator Based on Linear Prediction and Total Least Squares

Amauri Lopes,Pedro L D Peres,Ricardo F Colares,Ivanil S Bonatti,Carlos A Alves

doi:10.14209/jcis.2002.14

Abstract

We propose an estimator for the direction of arrival (DOA) of plane waves incident on a linear equally spaced array of sensors. The estimator uses a forward-backwardlinear prediction filter optimized by means of the total least squares criterion subject to constraints. The DOA angles are estimated by the zeros of the optimum filter. The proposed procedure is compared with two maximum likelihood methods presented in the literature.

Highlights

Array signal processing is a subarea of statistical signal processing and its main purpose is the estimation of signal parameters by fusing temporal and spatial information obtained via sampling a wavefield with a set of sensors
The performance of the Forward - Backward Linear Prediction (FBLP) method were significantly improved by Kumaresan [9] through the Modified Forward Backward Linear Prediction (MFBLP) method
We proposed a direction of arrival (DOA) method, FBCTLS, based on forwardbackward linear prediction and the Constrained Total Least Squares criterion

Summary

A DOA ESTIMATOR BASED ON UNEAR PREDICTION AND

Abstract - We propose an estimator for the direction of arrival (DOA) of plane waves incident on a linear spaced array of sensors. The estimator nses a forward - backward linear prediction filter optimized by means of the total least squares criterion subject to constraints. The DOA angles are estimated by the zeros of the optimum filter. Propomos urn estimador para a diret;lio de chegada (DOA) de ondas planas incidentes em urn arranjo de sensores linear e com elementos iguahnente espat;ados. 0 estimador usa urn filtro de predit;ffo linear "fmward-backward" otimizado atraves do criteria dos rninimos quadrados totais sujeito a restri

INTRODUCTION

FBLP AND THE CONSTRAINED TOTAL LEAST SQUARES CRITERION

THE FBCTLS METHOD

Findings

CONCLUSIONS