1968
DOI: 10.1109/taes.1968.5409001
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A Quantitative Analysis of Sea Clutter Decorrelation with Frequency Agility

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Cited by 26 publications
(8 citation statements)
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“…Therefore to further suppress the Doppler artefacts on a single acquired frame, we propose a signal processing technique known as split spectrum processing (SSP). SSP was first introduced in radar to resolve concealed targets in randomly distributed reflection, known as clutter [22]. Subsequent application of this method was applied to ultrasound as a frequency agility technique for flaw detection in materials without the typical loss of spatial resolution associated with axial averaging.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore to further suppress the Doppler artefacts on a single acquired frame, we propose a signal processing technique known as split spectrum processing (SSP). SSP was first introduced in radar to resolve concealed targets in randomly distributed reflection, known as clutter [22]. Subsequent application of this method was applied to ultrasound as a frequency agility technique for flaw detection in materials without the typical loss of spatial resolution associated with axial averaging.…”
Section: Introductionmentioning
confidence: 99%
“…The results are shown in Figs. [13][14][15]. They are based on the characteristics of a missile carrying an active radar seeker which acquires the target at a range of 10,000 ft.…”
Section: Discussionmentioning
confidence: 99%
“…The variance of angular error caused by clutter is related to signal-to-clutter power ratio at the output of the integrator by 3 = D.25/3VOS/<7)o (13) The signal-to-clutter ratio out of the integrator is related to that at the input by 1Mi OS/C% = N.(S/C)t (14) Here, N e is the effective number of independent clutter samples contained in the N pulses that are integrated. This value is generally different from the value applicable to the glint.…”
Section: + 2 Y* ^-* Rmentioning
confidence: 99%
“…With finite observations, 71, the estimate will have some dispersion about the quantile value. U,, that allows the values of neighboring quantiles to influence the output [14]. It should be noted that the performance of the OS filter will generally improve with increasing observations 71 since the variance will decrease (i.e., the random nature of the grains echoes will be reduced).…”
Section: ) Is a Fixed Constant And E[x()]mentioning
confidence: 99%