How to Optimize Spectrum Analyzer Preselection

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Select the Best RF Preselector

Signal analyzer preselection requires filtering unwanted radio frequency (RF) signals before the mixer so that only the desired signal reaches the intermediate frequency conversion stage. Measurements depend on suppressing image responses and higher-order mixer spurs while preserving amplitude accuracy, instantaneous bandwidth, and dynamic range. The appropriate preselection architecture depends on the characteristics of the signal being analyzed and the required measurement performance.

Two common approaches are an Yttrium Iron Garnet (YIG)-tuned tracking filter and a switched filter bank. A YIG filter continuously tracks the tuned frequency and rejects close-in spurious responses, while a switched filter bank provides wider instantaneous bandwidth and faster tuning for wideband communications measurements. Engineers can select the appropriate architecture based on whether spur rejection or measurement speed is the primary objective.

RF Preselection Optimization Solution

Optimizing spectrum analyzer preselection begins by identifying the measurement objective and selecting the filtering architecture that best supports the required performance. Narrowband spur searches require strong rejection of image responses and higher-order mixer products, while wideband modulation analysis benefits from greater instantaneous bandwidth and rapid sweep capability. Keysight XA5 Signal Analyzer, SA6210A, incorporates both a YIG-Tuned Filter (YTF) and a switched filter bank, allowing the measurement configuration to be selected per required application. The YIG architecture continuously tracks the tuned frequency and provides strong suppression of higher-order mixer spurs. While the switched filter bank delivers sub-band filtering with fast tuning, wide instantaneous bandwidth, flatter passband response, and improved Error Vector Magnitude (EVM) performance for broadband communication signals.

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SA6210A XA5 Expert Signal Analyzer

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