Practical Wireless Signal Fundamentals

Course 210

San Jose, CA Mar 21-Mar 23, 2011
Course 210-4362 Presented by Earl McCune Jr.
Register by 2/14/2011 and pay $1395, otherwise pay $1495 Register Online
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Summary:

This three day lecture and demonstration based course is designed to provide all participants with a physically intuitive understanding of wireless communication signals and why they work the way they do. With the growing impact of wireless communications on the basic operation of society, the need for a more general understanding of the basis for this technology is more important than ever.

Here we first approach wireless communications signals through the window of physics and physical principles. While a solid understanding of the mathematical theory of wireless communications signals is essential for detailed system design and analysis, the fundamental choices in system application and approach are often best approached physically. We do not shun math in this presentation, but instead of using math as the presentation base we instead use it as a follow up illustrator of the principles discussed.

The three days cover all of the major modulations used in digital wireless communication, including ASK, FSK, PSK, QAM, and OFDM. System principles such as an extensive discussion of the Shannon Capacity Limit, plus the physical basis of Nyquist filtering, are included. Important system parameters and analysis tools which are common to any modulation type are presented and demonstrated.

Learning Objectives:

Upon completing the course, the participant will be able to:

Target Audience:

This course will be of interest to people new to wireless communications design, and to communication specialists who are very familiar with the mathematics of wireless signals but may desire broadening this understanding with a physical perspective. It will also be interesting to technical marketing engineers who desire a physical intuition into the tradeoffs that the corresponding design engineering teams are wrestling with.

Outline:

Day One

Common Background Issues and Tools
• What is keying? • Signaling definitions • polar and rectangular equivalence • time-spectrum correspondences • symbol construction • filtering characteristics • the special properties of Nyquist filters • simples vs. duplex • constellation and vector diagrams • eye diagrams • SNR vs. Eb/No
ASK (Amplitude-shift keying)
• Definitions • constellations • occupied bandwidth • bandwidth efficiency • power efficiency • PAPR • envelope statistics • energy efficiency • demodulation principles • introduction to noise performance

Day Two

FSK (Frequency-shift keying)
• Definitions • phase tree • occupied bandwidth • bandwidth efficiency • power efficiency • Doppler shift • energy efficiency • signal limiting • demodulation principles • introduction to noise performance • FM threshold effect
PSK (Phase-shift keying)
• Definitions • constellations • Why nearly all PSK signals are really QAM • CPM is not a PSK • offset PSK • occupied bandwidth • bandwidth efficiency • power efficiency • PAPR • envelope statistics • energy efficiency • Doppler tolerance • demodulation principles • introduction to noise performance
QAM (Quadrature Amplitude Modulation)
• Definitions • constellations and signal structure • occupied bandwidth • bandwidth efficiency • power efficiency • PAPR • envelope statistics • offset QAM • Doppler tolerance • energy efficiency • demodulation principles • introduction to noise performance
OFDM (Orthogonal Frequency Division Multiplex)
• Definitions • constellations • occupied bandwidth • bandwidth efficiency • power efficiency • PAPR • envelope statistics • energy efficiency • Doppler intolerance • demodulation principles • introduction to noise performance

Day Three

Shannon’s Capacity Limit
• Shannon’s Fundamental Theorem on Information Theory • Shannon-Hartley equation • capacity density • SNR vs. Eb/No forms • finite available power • power vs. bandwidth • signal design region
Principles of Coding
• Motivations • definitions • coding for bandwidth efficiency • coding for spectrum control and link operation • coding for error control : block codes, convolutional codes, turbo codes • coding to manage error bursts • coding for channel throughput (MIMO) • equalization
Spread Spectrum
• Direct Sequence and Frequency Hopping • cyclic cancellation • synchronization • interference suppression • process gain • jamming margin • chips and spreading codes • frequency hopping details • direct sequence details • DS vs. FH comparison

Subject Areas Covered

Modulation Techniques
Wireless Digital Communications Fundamentals

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