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On-Demand Webinar
Simulation and Design of Software Defined Radios (SDR)

Overview:
This webcast will discuss the simulation, design and test of Software-Defined Radios (SDRs) applicable to both military and commercial applications. The system performance will first be evaluated using a 16-QAM legacy waveform for Spectral mask and EVM. Following this, a new SDR waveform will be introduced; Orthogonal Frequency Division Multiple Access (OFDMA) and the system performance will be analyzed and compared with the legacy waveform results. The implementation of the RF transmitter, receiver and channel models and their effects on system performance will be shown. The presence of potential interference and jamming signals at various RF frequencies and power levels and their effects on overall systems performance will be evaluated. Software simulation and test instrumentation will then be combined to test the Xilinx Field Programmable Gate Array (FPGA) hardware with the RF system model, all embedded within an Agilent Logic Analyzer, to create a Software Defined Instrument which allows one box testing of a SDR, including full RF transmitter, link and receiver models with real signals being processed through them.

Giveaway:
Attendees who complete the online evaluation form by February 28, 2008 will be entered in a drawing to win a $75 Amazon.com gift certificate.
Official Rules

Who should view this Webcast:
System engineers, RF engineers, Test & Verification engineers, Engineering Managers who are involved in the design and validation of software defined radios for military and commercial applications.

Presenters:

David Leiss, Applications Engineer, Agilent Technologies
David Leiss is an Applications Engineer with Agilent EEs of EDA. He has more than 25 years experience in computer-aided design of RF and microwave circuits. His experience includes 20 years with EEsof, and has also worked for or with Sonnet Software, Besser Associates and Compact Software. Before that, he worked at Frequency Sources in Massachusetts doing high speed and low noise VCO designs and developing test systems for measuring VCO settling time and phase noise. His primary job is to develop and deliver training classes on the use of Agilent's ADS simulation software. He has taught well over 2500 engineers in the use of Microwave/RF design software. He has presented numerous seminars and papers and published several magazine articles on modeling of radar systems and interference using ADS.


Greg Jue, Application Specialist, Agilent Technologies
Greg Jue is an application specialist with Agilent EEs of EDA. He is the product manager for the ADS 3GPP LTE Wireless Library, and has helped to pioneer combining design and test solutions at Agilent Technologies as an applications technical lead. He has authored numerous articles, presentations, and application notes, including the popular Application Note 1394 on Connected Solutions and Mixed-Signal Logic Analyzer Connected Solutions Application Note 1471. Greg initiated the development of the ADS 3GPP W-CDMA and ADS Communications System Design courses, and has taught numerous RF circuit design, communication system design, and 3GPP W-CDMA design courses using ADS. Before joining Agilent in 1995, he worked on system design for the Deep Space Network at the Jet Propulsion Laboratory/Caltech University.


Please contact TechOnline's Webinar Support with any questions.
Email: webinar@techonline.com

Agilent Technologies, the premier measurement company, delivers innovative technologies, solutions and services to a wide range of customers in communications, electronics, life sciences and chemical analysis. The breadth and depth of our expertise enable us to offer solutions across our customers' entire product life cycle from research and development to manufacturing to installation and management. With insight gained from this unique and comprehensive perspective, we can help our customers get the best products and services to market quickly and profitably.


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Original Broadcast Date
Nov 28, 2007
Status
Available On-Demand
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Agilent Technologies