Dynamic Signal Measurement Basics

Dynamic Signal Measurement Basics

<p>Quick Look Dynamic Signal Measurement Basics </p><p>Signal Processing Zoom FFT Analysis</p><p>Zoom FFT Analysis is a technique that provides better resolution on FFT analysis allowing the user to select a start and ending frequency with a given set of FFT lines such as 1600 or 3200. Since the start and end frequency can be arbitrarily selected then very good resolutions can be achieved in narrow spans within a baseband frequency span.</p><p>Zoom FFT analysis is used to concentrate, or “zoom,” the FFT analysis on a narrow band of frequencies. This improves the frequency resolution and helps you to distinguish closely-spaced frequencies.</p><p>As for the standard FFT analysis, the frequency resolution is related to the total acquisition time. So, to achieve better frequency resolution, longer acquisition time is required. This example shows how two closely-spaced frequencies are barely detectable when using the standard FFT analysis in baseband frequency span . Zooming on the appropriate frequency range (10 kHz here) then clearly reveals the two different frequencies. Can you start the zoom span somewhere other than DC?</p><p>Ideally, you would like to center the narrow span around any frequency below the maximum baseband span frequency . Using decimating filters alone, all spans must begin at 0 (DC). If we frequency shift, or heterodyne, the input signal before the decimation stages, our resulting span would be centered at the modulation frequency.</p><p>Heterodyning is used by the analyzer to compute “zoomed” spans, those spans starting at frequencies other than DC. The signal processor can heterodyne and filter in real time to provide the appropriate time record at all spans and center frequencies. All of the signal processing computations, including modulation, digital filtering and decimation, and computing the FFT are done is less time than it takes to acquire the data, so the NI DSA instrument processes every input sample in measuring the signal spectrum.</p>

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