2009
DOI: 10.1250/ast.30.417
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Improved finite samples resampling for unbiased wide-band direction of arrival estimation

Abstract: This paper considers wide-band DOA estimation using the spatial resampling method for coherent averaging. In this paper a rough estimate of the resampling error distribution is obtained. Careful examination of this distribution yields an improved resampling formula suitable for, but not limited to, arrays with finite sensors. It is shown that the proposed formula yields resampling error much less than that of conventional resampling. Moreover it is shown how the resampling error can be more reduced by proper c… Show more

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Cited by 2 publications
(3 citation statements)
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“…In addition, using the approximate Eq. (B•9) for calculating the virtual array output, P v m ð f Þ, does add a considerable amount of error [12]. Due to these effects the ideal model of Eq.…”
Section: Applicability Of the Proposed Algorithm In Real-mentioning
confidence: 99%
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“…In addition, using the approximate Eq. (B•9) for calculating the virtual array output, P v m ð f Þ, does add a considerable amount of error [12]. Due to these effects the ideal model of Eq.…”
Section: Applicability Of the Proposed Algorithm In Real-mentioning
confidence: 99%
“…The concept of coherent averaging was first introduced by Wang and Kaveh in [7]. Since then a number of different methods following the same concept were introduced as in [8][9][10][11][12]. In the following coherent averaging by the spatial resampling method [8] will be considered as an example of coherent averaging methods.…”
Section: Appendix B: Coherent Averagingmentioning
confidence: 99%
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