Coherent integration: Difference between revisions

From Glossary of Meteorology
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|Meaning=(Also called coherent averaging or time-domain averaging.) The time-domain  integration of measurements in a [[coherent radar]] over a sequence of pulses or over an [[observation]]  interval, prior to estimating the [[signal]] properties, to improve the [[signal-to-noise ratio]] while  minimizing signal processing.
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|Explanation=For such integration to be effective, the integration period must be limited to the time over  which the [[phase]] of the signal relative to a reference phase does not change substantially (i.e., the  [[coherence time]] of the signal). The effect of the coherent integration process is to reduce the  effective data sampling rate and the [[Nyquist frequency]].
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== coherent integration ==
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<div class="definition"><div class="short_definition">(Also called coherent averaging or time-domain averaging.) The time-domain  integration of measurements in a [[coherent radar]] over a sequence of pulses or over an [[observation]]  interval, prior to estimating the [[signal]] properties, to improve the [[signal-to-noise ratio]] while  minimizing signal processing.</div><br/> <div class="paragraph">For such integration to be effective, the integration period must be limited to the time over  which the [[phase]] of the signal relative to a reference phase does not change substantially (i.e., the  [[coherence time]] of the signal). The effect of the coherent integration process is to reduce the  effective data sampling rate and the [[Nyquist frequency]].</div><br/> </div>
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Latest revision as of 10:45, 26 March 2024

(Also called coherent averaging or time-domain averaging.) The time-domain integration of measurements in a coherent radar over a sequence of pulses or over an observation interval, prior to estimating the signal properties, to improve the signal-to-noise ratio while minimizing signal processing.

For such integration to be effective, the integration period must be limited to the time over which the phase of the signal relative to a reference phase does not change substantially (i.e., the coherence time of the signal). The effect of the coherent integration process is to reduce the effective data sampling rate and the Nyquist frequency.

With respect to aviation weather observations, same as collective.

Any function of time f(t) is periodic with period t if f(t) = f(t + τ) for all times t, where τ is the smallest number for which this equality holds.

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