Thursday 20 August 2020

Ways to Make RADAR System Interruption Free

Technology is growing by leaps and bounds. With the rapid advancement in technology, there have been significant changes in how we communicate and interact with each other. Initially, radar technology's main focus was on military and aviation, but these days, they have endless commercial applications. They are used as a short-range radar, such as collision avoidance, driver assistance, and autonomous driving. There is another category of specialized radars that provide images through fog and walls. Modern radars produce complicated pulses, and measuring them becomes a hassle most of the time. These obstructions in the way of communication can be eliminated with the help of a 6 GHz spectrum analyzer.

Components affecting Radar Performance

Several things affect the performance of the radar systems. Some of them are as follows:

  • Receivers Noise: If the receiver generates a noise component in the signal, it is known as receiver noise. It is an unwanted component and should be eliminated with the help of a 6 GHz signal spectrum analyzer.
  • Minimum Detectable Signal: It is difficult for radar to detect an echo signal as it has less power than the minimum power. You can select the proper threshold value only by getting proper signal strength.
  • Clutter: Echoes from rain, sea, land, and hail are the primary cause of interference for those who want to detect aircraft or ships. The capability of the radar systems gets severely affected by these echoes. The aircraft in the rain can be detected with circular polarization, and Circular polarization works on the principle of electromagnetic energy and will make both the things look different. Hence, it will be easy to detect them.
  • Transmitter Power: The maximum range of the transmitter largely depends on the average power of the transmitter. These systems have power, which is approximately 1 Megawatt.

This interference must be eliminated to get the signal of desired strength. A 6 GHz spectrum analyzer can help identify and eliminate the interference originating from various sources. This is how we can make the communication systems work flawlessly and hassle-free.


Tuesday 4 August 2020

Common Errors While Performing Spectrum Analysis

Spectrum analyzer is used to understand the frequency characteristics of wireless systems and components. These measurements are not foolproof. Some mistakes plague the outcome of the effectiveness and outcome of the spectrum analyzer. These errors occur when the device is not adjusted properly, or the spectrum analyzer does not fulfill the needs of a specific user. If you want the signal spectrum analyzer to perform appropriately and produce desired results, follow these simple guidelines:

Signal Spectrum Analyzer

Many mistakes occur when you are using a wrong device with the spectrum analyzer or when the signal spectrum analyzer is not controlled properly. The common errors are as follows:
  • Using the wrong detector
  • Not using a single sweep when using the spectrum analyzer remotely
  • Turning the display off and using binary data types while using the signal spectrum analyzer.
  • Providing too much power to the input of the spectrum analyzer
  • Asynchronous measurements while working with OPC.
  • Measuring the distortion products generated by the spectrum analyzer.
  • Inaccurate mixer levels while taking EVM measurements.
Modern spectrum analyzers work with different detectors. You can get the wrong results if you are using a wrong detector with the spectrum analyzer. These issues could be problematic, and the signals will remain undetected in the long run.

How to pick the right detector?

You can select the right detector for your spectrum analyzer by following certain guidelines. For instance, a detector would give a single sample for every tracepoint on the analyzer's display. If you set 1001 tracepoints on it, you would see a single sample evenly spaced across the span of the instrument in the frequency domain. You can also use the detector to measure noise-like signals emerging out of various sources.

If there is no such information about the specific detector used with the analyzer, then try using the default detector. Determine the noise like signals without any hassle.

Avoid these mistakes while using a signal spectrum analyzer for your industrial needs. If you are spending hard-earned money on a device, you want to make the most out of it. Receive uninterrupted and accurate strength every time you use the signal spectrum analyzer.