Spectrum analysis.

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Discover the fascinating world of spectrum analysis and its many possible applications. Our experts will help you develop an in-depth understanding of this technology and expand your knowledge in this pioneering field.

What is a spectrum analyzer?


A spectrum analyzer is a measuring device that records the frequency components of an electrical signal and displays them in a diagram as a frequency spectrum. The frequency is usually shown on the X-axis and the amplitude on the Y-axis - usually on a logarithmic scale either as voltage or as power (dBm). In contrast to an oscilloscope, a spectrum analyzer displays the signal curve over frequency and over time.
Digital processing from the time to the frequency range is performed by fast Fourier transformation (FFT). Pulse signals and transients can also be detected using suitable filters.

Many spectrum analyzers have a zero-span mode to analyze both the phase and the amplitude of a signal and to demodulate it at a desired frequency. In addition to the simple representation of a signal on the display, measurements of noise, gain, occupied signal bandwidth or adjacent channel power are also possible. The detected signals can be exported for further analysis using appropriate software tools.

Where is a spectrum analyzer used?


Common fields of application for the spectrum analyzer are:

  • Telecommunications
  • Radar and satellite communication
  • Broadcasting
  • WLAN applications (Bluetooth, 5G, 6G, etc.)
  • EMC testing
  • Electronics development
  • Automotive applications
  • Production
  • Quality assurance and service

What measurements are carried out with a spectrum analyzer?

The spectrum analyzer is one of the most important test devices in the fields of high-frequency and digital technology. Typical measurements with the spectrum analyzer include frequency analysis, bandwidth measurement and fault analysis in electronic systems. Frequency analysis examines the frequency behavior of electronic components and complex systems. Bandwidth measurement can be used to determine the bandwidth of signals in order to better understand their frequency distributions. This is particularly important in communications technology to ensure that the transmitted signals remain within the intended bandwidths. Spectrum analyzers are used in fault analysis to identify the cause of problems in electronic systems, such as unwanted frequency components, interference or EMC problems.

Spectrum analysis is one of the most important measurement methods in electronics development. Engineers analyze the signal behavior of electronic components in order to check their function and identify possible sources of error at an early stage. Compliance with ever stricter EMC guidelines makes the spectrum analyzer an indispensable tool.

What is the difference between a spectrum analyzer and a signal analyzer?

A spectrum analyzer detects the signals present in a selected spectrum range.
A signal analyzer, also known as a vector signal analyzer (VSA), is used for the demodulation and analysis of signals with complex, digital modulation. A signal analyzer records signals at a fixed center frequency and uses filters to set the frequency measurement range (bandwidth) for the spectrum display. A spectrum analyzer, on the other hand, works over a larger frequency range. Most VSAs also have a spectrum analysis mode, which is more suitable for detecting interference signals. This increases the frequency measurement range of the detected signal.

What is the dynamic range of a spectrum analyzer?

The dynamic range generally describes the maximum and minimum values that a measuring device can record. In a spectrum analyzer designed for the simultaneous detection of multiple signals, the dynamic range corresponds to the ability to detect a weak signal in the presence of a strong signal. The dynamic range of a spectrum analyzer is therefore the ratio of a larger signal to a smaller signal (specified in dB). It is one of the fundamental performance criteria of a spectrum analyzer.

The dynamic range is limited by the inherent noise of the analyzer with regard to the weaker signal. The inherent noise is specified using the displayed average noise level (DANL, in dBm), normalized to a 1 Hz resolution bandwidth. A preamplifier reduces the averaged displayed noise so that weak signals can be better detected. However, this reduces the dynamic range.

What role does the spectrum analyzer play in EMC measurements?

All electronic devices must be checked for compliance with the applicable standards (VDE / EN) to determine whether they emit electromagnetic radiation into the environment and how high these values are at different frequencies. One suitable measuring device for EMC tests is the spectrum analyzer. It can be used to determine at which frequency the radiation occurs, how high the power level of this frequency is and whether a permissible limit value is exceeded. The spectrum analyzer is used for pre-compliance testing and EMC conformity tests.

Which spectrum analyzer is suitable for EMC measurements?


A spectrum analyzer for specific areas of application such as EMC tests has, among other things, the corresponding limit value and tolerance masks that are specified in the legal regulations for standard-compliant EMC tests. The user can see directly whether a signal is within the tolerance limit and whether a design complies with the required standards.

How are the frequency components of an RF signal displayed using a spectrum analyzer?

The frequency components are displayed as an amplitude spectrum. This allows the signal quality, interference and unwanted frequencies to be detected and analyzed.

What frequency ranges does a spectrum analyzer cover?


A spectrum analyzer is used for a wide range of applications. The range of available models and performance parameters is therefore correspondingly wide. The range extends from low-cost analyzers with a frequency range from 2 Hz to portable (handheld) and universal mid-range devices through to fully equipped 110 GHz spectrum analyzers. A high-quality signal and spectrum analyzer is characterized, among other things, by outstanding signal integrity, high measurement speed and sensitivity as well as low phase noise.

Why is spectrum analysis important for EMC measurements?


Spectrum analysis is a technique for analyzing and displaying signals in the frequency range. In terms of electromagnetic compatibility (EMC), it is important for identifying and evaluating faults and interference in electronic systems. This ensures that the regulatory requirements are met.

How can spectrum analysis help with troubleshooting in complex electromagnetic environments?

Spectrum analysis enables engineers to identify the frequency ranges in which interference occurs and thus localize the causes of EMC problems. By analyzing the spectrum, engineers can understand the type of interference, its frequency, amplitude and changes over time, which is helpful in troubleshooting and resolving EMC issues.

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