Software Defined Radio Signal Processing Training

Software Defined Radio Signal Processing Training


Software Defined Radio Signal Processing Training Course Description

This four-day Software Defined Radio Signal Processing Training is an in-depth investigation into the theory and design of state of the art analog circuits and digital algorithms for software defined radio. Day one starts with an overview of everything SDR from a simple USB radio to advanced SDR platforms. Day two presents an in-depth review of digital modulation, both basic and advanced, as well as RF propagation impairments, received signal equalization, coding theory and multiple access techniques. Day three focuses on SDR analog design starting with analog radio signal processing and finishing with a look at theory and application of analog to digital converter (ADC) technology. Finally, day four considers SDR digital signal processing algorithms including theory and application of various acquisition, tracking and estimation algorithms.

On each day we illustrate the material with SDR hardware and/or software demos. The focus is on currently available low-cost implementations such as the USRP (Universal Software Radio Peripheral) and the RTL-SDR. Most of the digital algorithm code can be used directly in your own SDR design.

Throughout the course, mostly intuitive explanations take the place of detailed mathematical developments. The emphasis is on providing the student knowledge and insight. Most topics include carefully described design examples, alternative approaches, performance analysis, and references to published research results. Extensive guidance is provided to help you get started on practical design and simulation efforts.

Software Defined Radio Signal Processing TrainingRelated Courses:

Duration:4 days

Skills Gained:

• How to make use of the latest SDR RFICs (Radio Frequency Integrated Circuit).
• Pros and cons of SDR software development tools such as Simulink and GNU radio.
• Pros and cons of SDR hardware platforms such as Ettus, Nutaq and Xilinx.
• SDR system design applications.
• Cognitive radio concepts and current applications.
• Advanced aspects of physical layer digital communications design.
• Many difficult to find practical design techniques.

Customize It:

With onsite Training, courses can be scheduled on a date that is convenient for you, and because they can be scheduled at your location, you don’t incur travel costs and students won’t be away from home. Onsite classes can also be tailored to meet your needs. You might shorten a 5-day class into a 3-day class, or combine portions of several related courses into a single course, or have the instructor vary the emphasis of topics depending on your staff’s and site’s requirements.

Course Content:

SDR Introduction. SDR definitions, motivation, history and evolution as well as an overview of SDR design approaches.

SDR Major Standards. Software Communications Architecture (SCA) and Space Telecommunications Radio System (STRS). We look at the differences as well as the motivation, operational overview and details. Hardware abstraction concepts and structural components of both systems are discussed. The NASA SCAN SDR test is presented as a practical SDR example.

SDR Architectures. Changes that the SDR approach has brought about in radio and computer architecture, interface design, component selection and other aspects. We study the characteristics and application of the computational elements of a typical SDR.

SDR Enablers. We discuss how block diagram oriented simulation environments such as Simulink, GNU Radio and Labview facilitate SDR development. We also look at how these tools fit into both research and manufacturing environments.

SDR Advantages/Disadvantages. Practical uses of both SDR and cognitive radio. What benefits are obtained and what other factors, such as cost and complexity are involved.

Digital Modulation. We look at both basic and advanced linear and non-linear multilevel modulations. Techniques analyzed include OFDM and its application to LTE and 802.11a. We emphasis system design implications of bandwidth and power efficiency, peak to average power, error vector magnitude, error probability, etc.

RF Channels. A wide range of RF channel impairments are studied and categorized. Techniques for coping with imperfect channels are discussed. A satellite link budget is described in detail. Topics covered also include antennas, RF spectrum usage, bandwidth measurement and multiple input, multiple output (MIMO) channels.

Receiver Channel Equalization. We present a thorough treatment of Inter-symbol interference, group delay, linear and nonlinear equalization, as well as time and frequency domain equalizers.

Multiple Access Techniques. Frequency, time and code division techniques as well as carrier sensing, wireless sensor networks and beam steering are among the topics discussed.

Source and Channel Coding. Source and channel coding, sampling, entropy, data compression, voice coding, block and convolution coding, turbo coding, space-time coding and trellis coding. The source coding theorem and Shannon’s capacity theorem are both described and applied to provide a thorough but concise treatment of this important topic.

Receiver Analog Signal Processing. We discuss RF components and conversion structures for SDR, frequency planning, automatic gain control as well as high speed, high dynamic range analog to digital conversion techniques and bandpass sampling. An example is presented of an SDR radio front end that supports rapid reconfiguration for multiple signal formats.

Receiver Digital Signal Processing. All the DSP algorithms for a complete practical digital receiver are discussed. This includes algorithms for quadrature downconversion, matched filtering, packet synchronization, automatic gain control, carrier and symbol tracking and equalization. Functioning simulations of this receiver, implemented in both Simulink and GNU radio are presented. In addition we present practical algorithms for both FIR and IIR parallel processing for high data rate FPGA implementations.

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Time Frame: 0-3 Months4-12 Months

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