Proceedings of the 2003 IEEE Radar Conference (Cat. No. 03CH37474)
DOI: 10.1109/nrc.2003.1203407
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Monopulse radar detection and localization of multiple targets via joint multiple-bin processing

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Cited by 14 publications
(32 citation statements)
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“…In [36] the ML computation of [34] is made explicit, and hence competitive with [10] in terms of numerical needs. Interestingly, it can be shown (using the approach from [40] and [41]) that the above works with unresolved targets can identify no more than two targets. This limit is imposed by the lack of observation information diversity within their models.…”
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confidence: 99%
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“…In [36] the ML computation of [34] is made explicit, and hence competitive with [10] in terms of numerical needs. Interestingly, it can be shown (using the approach from [40] and [41]) that the above works with unresolved targets can identify no more than two targets. This limit is imposed by the lack of observation information diversity within their models.…”
mentioning
confidence: 99%
“…Their method utilizes the spatial diversity from the nature of a rotating radar to detect and localize more than two targets; its processing strategy is similar to that of [40] and [41]. Brown et al [12] explore spatial diversity for a monopulse radar to estimate the DOA of more than two unresolved targets.…”
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confidence: 99%
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