5G implementation is accelerating worldwide, creating new challenges for wireless technology in mobile devices. As these trends increase, space available for the RF front end (RFFE) is shrinking, which means filters must also become smaller and more highly integrated. RF filters also need to handle higher power to maintain adequate design margins and maximize handset operating range. Bulk acoustic wave (BAW) filters are evolving to address these challenges, along with other approaches such as antenna routing and antenna tuning.

There’s no doubt about it, the Internet of Things (IoT) is generating a lot of excitement and there’s no shortage of new applications on the horizon. From smart homes to connected cars to the wireless infrastructure that manages it all – take a look at the mounting advancements in IoT and where new technologies come into play.

Massive Multiple-Input Multiple-Output (mMIMO) is critical to 5G delivering on its promise of a cellular network. While MIMO typically uses two or more transmitters and receivers to send and receive more data at once, mMIMO extends that concept by significantly increasing the number of antennas on a single array. Until now, silicon-based technologies have been widely used for wireless communications. However, LDMOS devices have power density and high-frequency limitations that cannot suitably meet 5G requirements. The emergence of GaN on high-thermal conductivity silicon carbide (SiC) substrate has enabled mMIMO implementation and thus 5G.

Radar is a versatile technology that is supported by a wide range of companies and most of these firms can benefit from software tools that can calculate and predict radar system performance. Radar simulation tools have helped check and enhance the operation of these widespread electronic systems by providing practical insights into radar performance, based on the real-world components, devices, and electronic assemblies that make modern radar systems work. This article discusses the basics of designing software for the simulation of radar system performance.