2001
DOI: 10.1109/7.913693
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Using sources of opportunity to compensate for receiver mismatch in HF arrays

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Cited by 7 publications
(2 citation statements)
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“…Cost-effective and real-time array calibration methods for phased-array HF radars have received significant attention in the past several years. For example, Fabrizio et al developed an adaptive algorithm that estimates the receiver frequency response corrections for HF radar arrays [24]. Later, a maximum-likelihood (ML)-based phase error calibration method in which sea echoes are regarded as disparate sources was developed for the Ocean State Monitor and Analysis Radar (OSMAR) [25].…”
Section: Introductionmentioning
confidence: 99%
“…Cost-effective and real-time array calibration methods for phased-array HF radars have received significant attention in the past several years. For example, Fabrizio et al developed an adaptive algorithm that estimates the receiver frequency response corrections for HF radar arrays [24]. Later, a maximum-likelihood (ML)-based phase error calibration method in which sea echoes are regarded as disparate sources was developed for the Ocean State Monitor and Analysis Radar (OSMAR) [25].…”
Section: Introductionmentioning
confidence: 99%
“…The antenna position errors can also be neglected as the positions can be easily and accurately measured in such a small‐aperture array considered here. Lots of research work has been put forward in calibration of array errors, including use of known and unknown sources [10–15]. The use of known signals incident from the far field (e.g.…”
Section: Introductionmentioning
confidence: 99%