TEST & MEASUREMENT APPLICATION NOTES AND WHITE PAPERS

• Navigating Design Complexities With Qorvo's Innovative Software Tools

  Unlock the power of Qorvo's Design Hub, providing engineers with cutting-edge RF and analog design tools previously exclusive to Qorvo teams. Streamline your projects with precision and efficiency.

• Noise Figure: What Is It And Why Does It Matter?

  Noise figure is a key parameter that quantifies receiver performance by measuring how low a power a signal receiver can detect. This white paper covers the basic principles of noise figure, how to make sense of its specifications, how it is measured, and why this parameter is important in high-performance applications.

• Reduce Risk With A Better Measurement Process

  Measurement risk is the probability of making an incorrect decision. Many quality standards require calibration to reduce measurement risk. This white paper explores calibration, how it mitigates risk, as well as different calibration deliverables that can reduce testing costs.

• RF Amplifier Output Voltage, Current, Power, And Impedance Relationship

  How much output voltage, current, and power can you expect from your amplifier? In rare cases, this can be answered by applying Ohm’s law, assuming that the net power or power delivered to the load is the rated power output of the amplifier. In most cases, practical issues such as VSWR and forward power concerns must be considered before applying Ohm’s law. This application note addresses this issue and discusses an approach to be used that applies actual test data when calculating output parameters.

• An Introduction To Direction Finding Methodologies

  All direction finding methodologies are meant to determine the physical or geographical location of a source of radio frequency energy. The choice of an appropriate direction finding methodology to use for a given application is largely a function of the target signal's characteristics, such as frequency and modulation, but is also influenced by the propagation environment as well as cost and complexity.  Recent advances in the development of hybrid direction finding methodologies attempt to overcome some of these restrictions and increase accuracy by using a combination of methodologies.