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Digital Communications Solutions

Home > Technology > DSP > DSP for Communications

To meet the demands of today’s continually evolving communications networks, Altera and its partners are focused on providing system-level solutions and subsystems that enable differentiation, accelerated design cycles, and lower development costs.

System I/O

  • High-Speed Fujitsu DAC

Digital IF Processing

  • CORDIC
  • Farrow-Based Decimating Sample Rate Converter
  • Interpolation/Decimation Filtering

Baseband Processing

  • Enabling Technologies
  • Analog Devices Co-Processing
  • Baseband Filtering
  • Fast Fourier Transform (FFT)
  • Numerically Controlled Oscillator (NCO)
  • Reed-Solomon Encoder/Decoder
  • Texas Instruments Co-Processing
  • Viterbi Decoder
  • WiMAX Turbo Convolutional Decoder

End Applications

Some common end applications in digital communications include:

  • Automotive Software Defined Radio
  • cdma2000 Wireless Network
  • Communication Test and Monitoring 
  • High-Speed Downlink Packet Access (HSDPA) Channel Coding
  • Software Defined Radio
  • Universal Mobile Telecommunication System (UMTS) Wireless Network
  • Wideband Code Division Multiple Access (W-CDMA) Channel Card
  • Worldwide Interoperability for Microwave Access (WiMAX)

End Markets

In the following end-market pages, Altera provides all the design tools and information systems that you need to implement your communications system applications using Altera® products:

  • Broadcast End Markets
  • Medical End Markets
  • Military and Aerospace End Markets
  • Test and Measurement End Markets
  • Wireless End Markets

System I/O

Wireless infrastructure standards define an interface between the radio equipment control and the radio equipment in wireless basestations. Most common interfaces are Open Base Station Standard Initiative (OBSAI) RP3 and Common Protocol Radio Interface (CPRI).

Digital IF Processing

Digital intermediate frequency (IF) extends the scope of digital signal processing (DSP) beyond the baseband domain out to the antenna—to the RF domain. This increases the flexibility of the system while reducing manufacturing costs. Moreover, digital frequency conversion provides greater flexibility and higher performance (in terms of attenuation and selectivity) than traditional analog techniques.

Baseband Processing

Digital communications standards, especially wireless, are continuously evolving to support higher data rates through the introduction of advanced baseband processing techniques such as adaptive modulation and coding, space-time coding (STC), beamforming, and multiple-input multiple-output (MIMO) antenna techniques.

The baseband signal processing devices require enormous processing bandwidth to support such computationally intensive algorithms. It often requires both DSP processors and FPGAs, where the processor handles system control and configuration functions while the FPGA implements the computationally-intensive signal processing datapath and control, to minimize the latency in the system.

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