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SADARS

SADARS. An introduction to RF Spectrum Analysers. With acknowledgements to Wikipedia. What is a RF Spectrum Analyser? The name says it all – it is an instrument that enables the analysis of a spectrum. In our case this is the Radio Frequency (RF) spectrum.

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SADARS

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  1. SADARS An introduction to RF Spectrum Analysers With acknowledgements to Wikipedia

  2. What is a RF Spectrum Analyser? The name says it all – it is an instrument that enables the analysis of a spectrum. In our case this is the Radio Frequency (RF) spectrum. In its simplest form, a Spectrum Analyser is simply a radio receiver with a calibrated ‘S meter’.

  3. Spectrum analysers are widely used to measure the frequency response, noise and distortion characteristics of all kinds of RF circuits by comparing the input and output spectra. In telecommunications applications, spectrum analysers can be used to determine the occupied bandwidth and track interference sources. In EMC testing applications, a spectrum analyser can be used for basic pre-compliance testing (detecting radiated and conducted emissions) . With suitable additions, such as a Tracking Generator and a VSWR Bridge, RF filters and band limited functions can be easily checked and transmission line losses/impedance mismatches plus antenna matching measurements at multiple frequencies is simply achieved.

  4. A spectrum analyser may be used to determine if a wireless transmitter is working according to licence defined standards for purity of emissions. Output signals at frequencies other than the intended communications frequency (harmonics) will be apparent on the display. The analyser may also be used to determine, by direct observation, the bandwidth of a digital or analogue signal.

  5. A spectrum analyser interface is a device that connects to a wireless receiver or a personal computer to allow visual detection and analysis of electromagnetic signals over a defined band of frequencies. This is called panoramic reception and it is used to determine the frequencies of sources of interference to wireless networking equipment, such as Wi-Fi and wireless routers. Spectrum analysers can also be used to assess RF shielding. This is particularly important for high RF power devices such as transmitters, where poor shielding can lead to unwanted cross coupling between units, or even danger to nearby personnel.

  6. Difference between a Spectrum Analyser and an Oscilloscope Both items enable measurement of the level of a signal, BUT, An RF Spectrum Analyser measures a signal with respect to frequency, i.e. in the FREQUENCY DOMAIN An Oscilloscope measures a signal with respect to time, i.e. in the TIME DOMAIN An RF Spectrum Analyser usually presents a terminated input to the signal to be measured at a defined impedance – usually 50Ω An Oscilloscope usually presents a high impedance input to the signal being measured (usually 1MΩ) but can be set to 50Ω as well for some instruments.

  7. Signal Analysis, frequency and time domains

  8. Oscilloscope Display, amplitude modulated signal

  9. Spectrum Analyser Display, amplitude modulated signal

  10. Spectrum Analyser Display, Harmonic Distortion

  11. Spectrum Analyser Display, data signal

  12. Spectrum Analyser types Spectrum analyser types are defined by the methods used to obtain the spectrum of a signal. Fundamentally, there are swept-tuned and FFT (Fast Fourier Transform) based spectrum analysers Older instruments tend to be swept-tuned, whilst modern day instruments are usually FFT based, which take advantage of modern signal processing techniques.

  13. Swept Tuned Spectrum Analyser A swept-tuned spectrum analyser uses a superhetrodyne receiver todown convertall, or a portion of the input signal spectrum, using a voltage controlled oscillator (VCO)and a mixer to the centre frequency of a band pass filter. With this superheterodyne architecture, the VCO is swept through a range of frequencies, as selected by the instrument’s SPAN control. The bandwidth of the band pass filter dictates the resolution bandwidth, which is related to the minimum bandwidth detectable by the instrument.

  14. FFT Spectrum Analyser A FFT spectrum analyser computes the Discrete Fourier Transform (DFT), a mathematical process that transforms the input signal waveform into the components of its frequency spectrum. Some spectrum analysers, such as real-time spectrum analysers, use a hybrid technique where the incoming signal is first down converted to a lower frequency using superheterodyne techniques and then analised using Fast Fourier Transformation (FFT) techniques.

  15. Spectrum Analyser, typical Block Diagram

  16. Terminology, Centre Frequency & Span In a typical spectrum analyser there are options to set the start, stop, and centre frequency. The frequency halfway between the stop and start frequencies on a spectrum analyser display is known as the centre frequency. This is the frequency that is in the middle of the display’s frequency axis. The Span specifies the range between the start and stop frequencies. These two parameters allow for adjustment of the display within the frequency range of the instrument to enhance the visibility of the spectrum being measured.

  17. Terminology, resolution bandwidth The bandwidth of the band pass filter dictates the resolution bandwidth, which is related to the minimum bandwidth detectable by the instrument. However, there is a trade-off between how quickly the display can update the full frequency span being examined and the frequency resolution presented, which is relevant for distinguishing frequency components that are close together. Here, selecting a slower rate (longer time) to traverse the selected frequency span enhances the achieved resolution.

  18. Terminology, resolution bandwidth The Resolution Band-Width filter or RBW filter is the bandpass filter in the IF path. It is the bandwidth of the RF ‘route’ before the detector (power measurement device). This filter determines the RF noise floor and how close two signals can be and still be resolved by the analyser into two separate peaks.Adjusting the bandwidth of this filter allows for the discrimination of signals with closely spaced frequency components, while also changing the measured noise floor. Decreasing the bandwidth of an RBW filter decreases the measured noise floor and vice versa. This is due to wider RBW filters passing more frequency components through to the envelope detector than narrower bandwidth RBW filters, therefore a wider RBW causes a higher measured noise floor.

  19. Terminology, resolution bandwidth, 1 The Video Band-Width filter or VBW filter is the low pass filter  directly after the envelope detector. This is the bandwidth of the signal chain after the detector. Averaging or peak detection then refers to how the digital storage portion of the device records samples - it takes several samples per time step and stores only one sample, either the average of the samples or the peak value. The video bandwidth determines the capability to discriminate between two different power levels.

  20. Terminology, resolution bandwidth, 2 A narrower Video Band-Width Filter (VBW) will remove noise in the detector output.  The filter is used to “smooth” the display by removing noise from the envelope. Similar to the Resolution Band-Width filter (RBW) , the Video Band-Width Filter affects the sweep time of the display if the VBW is less than the RBW.

  21. Terminology, Detector, 1 With the advent of digitally based displays, some modern spectrum analysers use analogue to digital converters to sample spectrum amplitude after the VBW filter. Since displays have a discrete number of points, the frequency span measured is also digitised.  Detectors are used in an attempt to adequately map the correct signal power to the appropriate frequency point on the display. There are in general three types of detectors: sample, peak, and average

  22. Terminology, Detector, 2 Sample detection – sample detection simply uses the midpoint of a given interval as the display point value. While this method does represent random noise well, it does not always capture all sinusoidal signals. Peak detection – peak detection uses the maximum measured point within a given interval as the display point value. This ensures that the maximum sinusoid is measured within the interval; however, smaller sinusoids within the interval may not be measured. Also, peak detection does not give a good representation of random noise. Average detection – average detection uses all of the data points within the interval to consider the display point value. This is done by power (rms) averaging, voltage averaging, or log-power averaging

  23. Terminology, Displayed Average Noise Level The Displayed Average Noise Level (DANL) is just what it says it is - the average noise level displayed on the analyser. This can either be with a specific resolution bandwidth (usually in dBm), or normalized to 1 Hz (usually in dBm/Hz)

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