## Abstract

We present an ESPRIT-based algorithm that yields extended-aperture two-dimensional (2D) arrival angle and carrier frequency estimates with a sparse uniform array of electromagnetic vector sensors. The ESPRIT-based frequency estimates are first achieved by using the temporal invariance structure out of the two time-delayed sets of data collected from vector sensor array. Each incident source's coarse direction of arrival (DOA) estimation is then obtained through the Poynting vector estimates (using a vector cross-product estimator). The frequency and coarse angle estimate results are used jointly to disambiguate the cyclic phase ambiguities in ESPRIT's eigenvalues when the intervector sensor spacing exceeds a half wavelength. Monte Carlo simulation results verified the effectiveness of the proposed method.

Original language | English |
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Article number | 80720 |

Number of pages | 9 |

Journal | Eurasip Journal on Applied Signal Processing |

Volume | 2006 |

DOIs | |

Publication status | Published - 2006 |

Externally published | Yes |

## Keywords

- Frequency Estimate
- Poynting Vector
- Angle Estimate
- Phase Ambiguity
- Cyclic Phase