Find the Signal and Spectrum Analyzer for You in Minutes
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Find Compatible Software and Accessories for Your Analyzer
Enhance the capabilities of your signal and spectrum analyzers with software for automated testing, complex signal analysis, and data visualization, as well as accessories such as external mixers, frequency extenders, and probes.
Explore Signal and Spectrum Analyzer Use Cases
Signal and spectrum analyzers support a wide range of measurements across various industries, discover them all
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Frequently Asked Questions
A spectrum analyzer is a test and measurement instrument used to measure and visualize signal amplitude as a function of frequency. It provides a frequency-domain view of RF, microwave, wireless, and electrical signals, helping engineers identify signal power, harmonics, distortion, spurious emissions, interference, and noise.
Unlike an oscilloscope, which shows voltage versus time, a spectrum analyzer shows how signal energy is distributed across frequency.
Modern spectrum analyzers are used to measure:
- Frequency range, from Hz to GHz or mmWave bands
- Amplitude, commonly measured in dBm, dBµV, or dBc
- Resolution bandwidth, or RBW
- Displayed average noise level, or DANL
- Phase noise, measured in dBc/Hz
- Adjacent channel power, or ACP
- Occupied bandwidth
- Spurious emissions
- Harmonic distortion
- Real-time transient RF events
Keysight signal and spectrum analyzers support RF and wireless applications such as 5G New Radio, Wi-Fi 6E / 7, Narrowband IoT, radar, satellite communications, EMI troubleshooting, and field interference analysis.
Choose a signal, spectrum, or wireless analyzer by matching the instrument’s frequency coverage, analysis bandwidth, sensitivity, dynamic range, phase noise, portability, and software capabilities to your measurement task.
Start with these application requirements:
- Signal frequency: Select an analyzer that covers your carrier frequency,
harmonics, and spurious search range. - Analysis bandwidth: Use wider bandwidth for 5G NR, Wi-Fi 7, radar pulses,
satellite links, and wideband modulation analysis. - Sensitivity: Look for low DANL when detecting weak signals or emissions close
to the noise floor. - Dynamic range: Choose higher dynamic range when measuring low-level spurs near
high-power carriers. - Phase noise: Prioritize low phase noise for oscillator, radar, satellite,
aerospace, and high-performance wireless testing. - Form factor: Use benchtop analyzers for R&D, handheld analyzers for field
RF testing, wireless analyzers for protocol and network troubleshooting, and modular
PXIe analyzers for automated test systems.
Keysight offers Essential, Expert, and Pro benchtop signal and spectrum analyzers that can be selected based on maximum frequency, analysis bandwidth, phase noise, DANL, and real-time spectrum analysis capability.
Key specifications for a signal, spectrum, or wireless analyzer include frequency range, resolution bandwidth, analysis bandwidth, dynamic range, DANL, phase noise, amplitude accuracy, real-time bandwidth, and measurement software support.
Important specifications include:
- Frequency range: Defines the lowest and highest frequencies the analyzer can
measure. - Resolution bandwidth, or RBW: Determines how well the analyzer separates
closely spaced signals. Narrow RBW improves frequency resolution and lowers displayed
noise, while wider RBW enables faster sweeps. - Analysis bandwidth: Defines the instantaneous bandwidth available for
demodulation, vector signal analysis, and wideband capture. - Dynamic range: Determines how well the analyzer can measure weak signals in the
presence of stronger signals. - DANL: Displayed average noise level indicates analyzer sensitivity. Lower DANL
improves weak-signal detection. - Phase noise: Indicates short-term frequency stability, typically specified in
dBc/Hz at a defined carrier frequency and offset. - Real-time spectrum analysis, or RTSA: Helps capture intermittent, transient,
pulsed, or frequency-hopping signals that may be missed by swept measurements. - Measurement applications: Consider support for EVM, ACPR, occupied bandwidth,
spurious emissions, EMI pre-compliance, pulse analysis, noise figure, and wireless
standards.
A spectrum analyzer measures signal power versus frequency. A vector signal analyzer measures both magnitude and phase to analyze digitally modulated signals. A real-time spectrum analyzer continuously captures spectrum activity to detect short-duration or intermittent RF events.
- Spectrum analyzer: Best for frequency-domain measurements such as harmonics,
spurious emissions, occupied bandwidth, carrier power, channel power, and EMI
troubleshooting. - Vector signal analyzer: Best for modulation quality measurements such as IQ
constellation, error vector magnitude, OFDM analysis, and demodulation of standards such
as 5G NR, LTE, Wi-Fi, and satellite waveforms. - Real-time spectrum analyzer, or RTSA: Best for capturing transient events such
as pulsed radar, frequency hopping, burst interference, wireless coexistence problems,
and intermittent field interference.
Keysight signal and spectrum analyzer workflows can support spectrum analysis, vector signal analysis, real-time spectrum analysis, and software-driven measurements for wireless, aerospace / defense, EMI, and phase-noise applications.
A signal analyzer is primarily used for frequency-domain analysis, while an oscilloscope is primarily used for time-domain analysis.
A signal analyzer displays how power is distributed across frequency. Engineers use it to measure RF characteristics such as carrier frequency, signal amplitude, phase noise, harmonics, occupied bandwidth, spurious emissions, and interference.
An oscilloscope displays how voltage changes over time. Engineers use it to view waveform shape, timing, rise time, jitter, transients, digital switching behavior, and circuit-level events.
In practice:
- Use a signal analyzer for RF, microwave, wireless, modulation, and spectrum
measurements. - Use an oscilloscope for time-domain waveform, digital, analog, and high-speed timing
measurements. - Use both instruments when debugging complex systems that require time-domain and
frequency-domain visibility.
































