2018IEEE Communications LettersRequires access

A DOA Estimation Method With Kronecker Subspace for Coherent Signals

Masaaki Inoue, Kazunori Hayashi, Hiroki MORI, Toshihisa Nabetani

Open publisher page 16 citations

Abstract

We propose a direction-of-arrival estimation method using the Kronecker subspace that can cope with coherent source signals. The proposed method employs a new formulation of the Khatri–Rao product array processing, where not only auto-correlations but also cross-correlations of source signals are regarded as virtual source signals transmitted to the difference co-array of the original sensor array, and can cope with up to$N-1$coherent signals with a sensor array having$N$sensors if the source signals have quasi-stationarity. Computer simulation results illustrate the performance of the proposed approach in comparison with that of conventional algorithms.

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What this paper is about

We propose a direction-of-arrival estimation method using the Kronecker subspace that can cope with coherent source signals. The proposed method employs a new formulation of the Khatri–Rao product array processing, where not only auto-correlations but also cross-correlations of source signals are regarded as virtual source signals transmitted to the difference co-array of the original sensor array, and can cope with up to$N-1$coherent signals with a sensor array having$N$sensors if the source signals have quasi-stationarity. Computer simulation results illustrate the performance of the proposed approach in comparison with that of conventional algorithms.

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Available abstract

We propose a direction-of-arrival estimation method using the Kronecker subspace that can cope with coherent source signals. The proposed method employs a new formulation of the Khatri–Rao product array processing, where not only auto-correlations but also cross-correlations of source signals are regarded as virtual source signals transmitted to the difference co-array of the original sensor array, and can cope with up to$N-1$coherent signals with a sensor array having$N$sensors if the source signals have quasi-stationarity. Computer simulation results illustrate the performance of the proposed approach in comparison with that of conventional algorithms.

Key concepts: Kronecker delta, Kronecker product, Subspace topology, Notation, Algorithm, Computer science, Signal processing, Array processing

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