Modern RF systems consist of high-frequency analog electronics (the front end) and adaptive digital algorithms.
One of the primary challenges in RF system design is reducing the overall area, power, and cost for RF front ends - generally wireless transmitters and transceivers. For this reason, smart RF system design relies heavily on digital signal processing algorithms to optimize these performance factors and to calibrate and compensate for RF impairments.
Algorithms such as digital pre-distortion (DPD), automatic gain control (AGC), and adaptive filtering are an integral part of today’s communications and radar systems. These RF system algorithms need to be designed together with models of the analog/mixed-signal components and RF front ends. Rapid system-level simulation is an essential requirement to efficiently explore design trade-offs.
In an integrated workflow, engineers use: