## Abstract

Most high-resolution bearing estimation algorithms have been based on the assumption of a far-field source environment. When this assumption is violated, i.e., when some sources are in the near field, these algorithms generally show unsatisfactory performance. An algorithm to tackle this problem using a uniform linear array is proposed. The observed signal covariance matrix of near-field sources is equivalently viewed as a corrupted measurement of the ideal signal covariance matrix of far-field sources located at the same bearings. A far-field approximation (FFA) covariance matrix is reconstructed from the observed covariance matrix to reduce the corruptions. Therefore, existing high-resolution bearing estimation techniques (e.g., MUSIC) can be directly applied to estimate the bearings of the near-field sources. Simulation results demonstrating the effectiveness of this approach are presented.

Original language | English |
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Pages (from-to) | 1474-1477 |

Number of pages | 4 |

Journal | IEEE Antennas and Propagation Society, AP-S International Symposium (Digest) |

Volume | 4 |

State | Published - 1990 |

Event | 1990 Antennas and Propagation Symposium Digest - Dallas, TX, USA Duration: 7 May 1990 → 11 May 1990 |