How to Improve Spur Detection Sensitivity

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Expert Signal Analyzer
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Low Noise Floor Spur Detection

Low-level spur detection requires minimizing the displayed average noise level (DANL) while maintaining sufficient frequency resolution and measurement stability. The test setup involves configuring a spectrum analyzer with appropriate resolution bandwidth, input attenuation, and preamplifier settings to reduce the effective noise floor. Detector selection and averaging techniques are also used to improve signal visibility when measuring spurious components close to the noise level.

The measurement process captures spectral data and compares signal amplitudes relative to the noise floor to identify small spurious responses. Techniques such as trace averaging, narrow resolution bandwidth, and optimized front-end gain allow improved signal-to-noise ratio and clearer separation of spurs from background noise. These methods support accurate characterization of low-level emissions while maintaining measurement repeatability across different frequency spans.

Low Noise Spur Detection Solution

Achieving reliable detection of low-level spurious signals requires minimizing the noise floor while maintaining sufficient dynamic range and measurement speed across the frequency span. Keysight N9032B Expert Signal Analyzer enables this by combining low displayed average noise level, high dynamic range, and flexible front-end configuration to improve sensitivity without compromising measurement throughput. Optimized control of resolution bandwidth, attenuation, and preamplifier gain allows the analyzer to reveal weak spurious signals that would otherwise be obscured by noise. Advanced averaging, detector processing, and marker-based analysis support accurate identification of spurs near the noise floor, while fast sweep capabilities enable quicker validation cycles across wideband measurements.
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Block Diagram of Low Noise Spur Detection Solution

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