Both versions of our popular SMT835 are currently in stock.

Cost-effective ZYNQ RF-SoC Development Platform

 

The SMT835 from Sundance comes in two versions: SMT835-ZU25DR-1 and SMT835-ZU47DR-2. Both are PCI express ZYNQ RF systems based on the TEB0835 carrier board.

The SMT835-ZU25DR-1 comes with the TE0835-02-MXE21-A RFSoC module mounted, and the SMT835-ZU47DR-2 has the TE0835-02-TXE21-A RFSoC module.

The TEB0835 is a carrier for Trenz Electronic’s TE0835 module which is based on Xilinx UltraScale+ RFSoC. It is equipped with a microSD card reader, microUSB2.0, 21x UMCC connectors and six SMD connectors for clocks and ADC/DAC inputs/outputs, six green user LEDs, reset push button, DIP switch for mode, battery holder, FT2232H FTDI, programmable clock generators and a temperature sensor IC. The carrier provides a PCIe connector as well.

The ZYNQ UltraScale+ RFSoC family integrates key subsystems for multiband, multi-mode cellular radios and cable infrastructure (DOCSIS) into an SoC platform that contains a feature-rich 64-bit quad-core Arm Cortex-A53 and dual-core Arm Cortex-R5 based processing system.

Key Features and benefits of these systems:

  • High-performance processing (combination of ARM cores and FPGA fabric).
  • Integrated RF capabilities for real-time signal generation and acquisition.
  • PCI Express interface for high-speed data transfer.
  • Scalability and programmability for custom applications.

Typical users:

A PCI Express Zynq RF (Radio Frequency) system is typically designed for advanced users and applications that require high-speed data processing, signal processing, and RF capabilities.

The target users of such a system would include:

Telecommunications Engineers

  • Use Case: Developing and testing 5G, LTE, and next-generation wireless communication systems.
  • Why: The Zynq RF system provides the high-speed data paths and programmable logic required for advanced signal processing and RF communication.

Aerospace and Defence Professionals

  • Use Case: Radar systems, electronic warfare, satellite communications, and secure communications.
  • Why: These applications demand high-performance, low-latency RF solutions that can be customised for specific protocols and environments.

Embedded System Developers

  • Use Case: Creating embedded systems with complex RF requirements, such as IoT devices or automotive radar systems.
  • Why: The integration of an FPGA with a processing system in Zynq devices enables flexible design and development.

Academic and Research Institutions

  • Use Case: Research in digital signal processing (DSP), machine learning for RF systems, and advanced communication protocols.
  • Why: These systems provide a platform for prototyping and experimenting with advanced algorithms.

High-Performance Computing Professionals

  • Use Case: Processing large datasets in real-time, such as in scientific computing or financial systems.
  • Why: The PCIe interface allows high-speed data transfers, while the Zynq RF’s processing capabilities provide the computational power needed.

Test and Measurement Companies

  • Use Case: Developing equipment for testing and characterizing RF systems and components.
  • Why: The system provides real-time data acquisition, processing, and analysis, making it suitable for measurement and validation tasks.

Machine Learning and AI Developers in RF Applications

  • Use Case: Implementing AI-based techniques for real-time signal analysis, spectrum sensing, and adaptive communications.
  • Why: The programmable FPGA fabric and ARM cores on the Zynq platform enable hybrid AI and RF processing.

Semiconductor and Hardware Prototyping Companies

  • Use Case: Rapid prototyping of RF front-end hardware or mixed-signal systems.
  • Why: The Zynq RF SoC supports high-level customizability for hardware designs and testing.

Broadcast and Multimedia Companies

  • Use Case: Developing high-definition video transmission systems over RF, such as for live events or satellite broadcasting.
  • Why: The high-speed processing and RF capabilities of the system enable efficient handling of real-time video and audio streams.