A Covariance Approximation Method for Near-Field Direction-Finding Using a Uniform Linear Array

Ju Hong Lee, Yih Min Chen, Chien Chung Yeh

Research output: Contribution to journalArticlepeer-review

49 Scopus citations

Abstract

Most narrowband high-resolution bearing estimation algorithms were proposed based on the assumption of a far-field source environment When this assumption is violated, i.e., some sources are in the near field, these algorithms generally provide unsatisfactory performances. In this correspondence, a new algorithm is proposed to handle this near-field problem using a uniform linear array. The received signal covariance matrix for near-field sources is viewed as a corrupted measurement of the ideal signal covariance matrix for far-field sources located at the same bearings. Taking this viewpoint, we reconstruct a far-field approximation (FFA) covariance matrix from the received covariance matrix to reduce the corruptions. Therefore, existing high-resolution bearing estimation techniques can be directly applied to estimate the bearings of the near-field sources. The properties of the proposed approach are investigated in detail. Simulation results demonstrating the effectiveness of this approach are included.

Original languageEnglish
Pages (from-to)1293-1298
Number of pages6
JournalIEEE Transactions on Signal Processing
Volume43
Issue number5
DOIs
StatePublished - May 1995

Fingerprint

Dive into the research topics of 'A Covariance Approximation Method for Near-Field Direction-Finding Using a Uniform Linear Array'. Together they form a unique fingerprint.

Cite this