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Basics of software defined Radios

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Self-paced Advanced

Basics of software defined Radios

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599 min
Anytime
English
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Why enroll

People join this course to gain hands-on and conceptual knowledge of modern wireless systems used in cellular networks, satellite communication, IoT, and defense applications. It is especially useful for electronics and communication engineering students who want to bridge the gap between communication theory and real-world implementation. Learners also join to explore research, prototyping, and industry applications where SDR plays a crucial role.

Is this course for you?

You should take this if

  • You work in Telecommunication
  • You're a Electronics & Telecommunication / Instrumentation Engineering professional
  • You have 3+ years of hands-on experience in this field
  • You prefer self-paced learning you can revisit

You should skip if

  • You're new to this field with no prior experience
  • You need a different specialisation outside Electronics & Telecommunication
  • You need live interaction with an instructor

Course details

Basics of Software Defined Radios introduces the concept of implementing radio communication systems using software instead of fixed hardware components. The course explains how traditional radio functions such as modulation, demodulation, filtering, and signal processing can be performed using programmable platforms. It provides a practical understanding of modern wireless communication systems and highlights the flexibility and scalability of SDR in today’s communication technologies.

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Course suitable for

Key topics covered

  1. Introduction to radio communication systems

  2. Limitations of conventional hardware-based radios

  3. Architecture and principles of software defined radios

  4. Analog-to-digital and digital-to-analog conversion

  5. Digital modulation and demodulation techniques

  6. Filtering and synchronization in SDR systems

  7. SDR platforms and tools (USRP, GNU Radio – overview)

  8. Baseband signal processing concepts

  9. Applications of SDR in wireless communication and research

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

20 lectures9 hr 59 min
  1. Foundation for software defined radio
    32 min
  2. Components of a software defined radio
    36 min
  3. Software defined radio architectures-1
    29 min
  4. Software defined radio architectures-2
    27 min
  5. Software defined radio architectures-3
    23 min
  6. Software defined radio architectures-4
    28 min
  7. Distortion Parameters
    29 min
  8. Lecture 08 Distortion Parameters Part II
    28 min
  9. Distortion Parameters Nonlinear Distortion
    34 min
  10. Distortion Parameters Nonlinearity Specifications
    33 min
  11. Power Amplifiers Nonlinear Distortion in Transmitted Signals
    35 min
  12. Power Amplifiers Useful Definitions
    26 min
  13. Case study Power amplifier Lineup for achieving linearity power requirement example
    35 min
  14. Case studyI Power amplifier Lineup for linearity power requirement Need for linearization technique
    29 min
  15. Behavioral models for representing nonlinear distortions
    24 min
  16. Linearization Techniques for nonlinear distortion
    32 min
  17. Lecture 17 Predistortion Techniques for nonlinearity distortion in SDR
    28 min
  18. Basic Digital Predistortion Techniques for nonlinear distortion in SDR
    26 min
  19. Stateoftheart Digital Predistortion Techniques for Nonlinear Distortion in SDR
    30 min
  20. Digital Predistortion Techniques for Linear as well as Nonlinear Distortion in SDR
    35 min

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Questions and Answers

A: 3% EVM at 64QAM leaves little margin, and clock phase noise above ~–100 dBc/Hz at 10 kHz offset will break that budget even if RF power and ACLR look fine. Field SDRs often default to internal TCXO during install, and DPD or scheduler tweaks mask the symptom without removing the phase noise source.

A: 30.72 MS/s is the LTE clocking anchor for 20 MHz, tied to a 2048-point FFT and 15 kHz subcarrier spacing. Nyquist-only thinking ignores LTE timing, while extreme oversampling helps noise shaping but doesn't set the minimum viable rate.

A: An NCO plus digital mixer ahead of decimation is the telltale of digital downconversion, typically after IF sampling. Undersampling would omit the digital mixer entirely, and analog mixing wouldn't be drawn inside the FPGA fabric.

A: Phase noise barely hurts high-SINR users but becomes dominant when SINR drops, effectively shrinking the usable constellation. Antenna or scheduler issues would affect RSRP or latency patterns differently, and LNA gain errors usually show up as noise figure penalties everywhere.