A Spectrum Analyzer> is an instrument used to study the spectral structure of electrical signals. It can measure signal parameters such as signal distortion, modulation degree, spectral purity, frequency stability and intermodulation distortion, and is used to measure certain parameters of circuit systems such as amplifiers and filters. Spectrum analyzers are also known as frequency domain oscilloscopes, tracking oscilloscopes, analytical oscilloscopes, harmonic analyzers, frequency characteristic analyzers, or Fourier analyzers, among others.
Modern spectrum analyzers can display analysis results in analog or digital form, and can analyze electrical signals in all radio frequency bands from very low frequencies below 1 Hz to submillimeter bands. If digital circuits and microprocessors are used inside, the spectrum analyzer> has storage and computing functions, and can be configured with standard interfaces to form an automatic test system. By using a spectrum analyzer, we can better understand and analyze the spectrum characteristics of electrical signals, which helps to solve problems in the circuit system and optimize system performance. It has a wide range of applications in electronic measurements and provides engineers and technicians with powerful tools for signal analysis and testing.
Spectrum Analyzer> is a precision instrument specially used to measure the spectrum characteristics of electrical signals. In signal analysis, it adopts a method of converting a signal into a spectrum, allowing users to intuitively understand the spectral density of a signal, and perform signal analysis by analyzing the frequency distribution. The operating principle of a spectrum analyzer is based on the Fourier transform, a mathematical algorithm that converts a signal in the time domain to a signal in the frequency domain. After performing Fourier transform on the signal to be tested, and receiving and processing it with a spectrum analyzer, the corresponding spectrogram is finally output.
Using a spectrum analyzer> for signal detection requires several basic components:
1. First connect a front-end interface device to convert the measured signal into an electrical signal;
2. Connect a high-performance amplifier and a low-noise amplifier front-end circuit with variable gain to strengthen the signal to improve the signal-to-noise ratio of signal to noise;
3. Feed the signal into a fast Fourier transform (FFT) circuit using a windowing function to improve the properties of spectral lines, reduce leakage and noise, and improve resolution;
4. Convert the frequency domain signal into a visual signal through a digital signal processor such as a DSP chip.
Spectrum analyzer> is an important part of digital signal processing technology. It can quickly and quickly analyze signal characteristics and provide useful support for scientific research and technical applications.