DOA Finding with Support Vector Regression based Forward-Backward Linear Prediction, Article - Mai 2017

Jingjing Pan, Yide Wang, Cédric Le Bastard, Tianzhen Wang

Jingjing Pan, Yide Wang, Cédric Le Bastard, Tianzhen Wang, « DOA Finding with Support Vector Regression based Forward-Backward Linear Prediction,  », Sensors, mai 2017, p. 1225. ISSN 1424-8220

Abstract

Direction-of-arrival (DOA) estimation has drawn considerable attention in array signal processing, particularly with coherent signals and limited number of snapshots. The forward-backward linear prediction (FBLP) is able to directly deal with coherent signals. Support vector regression (SVR) is robust with small samples. This paper proposes to combine together the advantages of FBLP and SVR in the estimation of DOAs of coherent incoming signals with low snapshots. The performance of the proposed method is validated with numerical simulations in coherent scenarios, in terms of different angle separations, numbers of snapshots and signal-to-noise ratios (SNRs). Simulation results show the effectiveness of the proposed method.

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