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Modeling software has long divided itself along Solid/Surface lines with products such as Rhino (strictly surface modeling) and early versions of SolidWorks (strictly solid modeling). However, in the last several years, modelers are increasingly enabling both methods and allowing them to interact. This hybrid modeling is a combination of solid and surface modeling. These days, it is much more common to mix methods than it was even five years ago. Surface modeling is slow because you model each face individually, and then manually trim and knit. Cutting a hole in a surface model is much more involved than cutting a hole in a solid. Solid modeling is faster because it is essentially highly automated surface modeling; however, as any software user knows, automation almost always comes at the expense of flexibility, and this situation is no different. Surface modeling puts the compromised power back into your hands. Solid modeling tends to limit you to a type of parts with square ends or a flat bottom because solids are creating all sides of an object at once. For example, think about an extrusion: regardless of
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of infrastructure. These systems, however, need to use more intelligent algorithms to compensate for the low accuracy of the metrics measured. Both approaches have their own markets, and design work for both technologies has been pursued in the past few years. In this chapter we provide an overview of the application and models for behavior of RF sensors, discuss algorithms used to process the results of sensors in location nding, and provide a framework for performance evaluation of positioning systems. 13.2 RF LOCATION-SENSING TECHNIQUES RF location sensors operating in different environment measure RSS, AOA, POA, TOA, and the signature of the delay power pro le as location metrics [Pah02a, Pah02b]. Indoor and urban radio channels suffer from severe multipath propagation and heavy shadow-fading conditions, so these measurements are far from accurate in many instances. In general, measurements of POA and AOA in large indoor and urban areas provide very unreliable results, and sensors used for indoor positioning normally sense the more accurate TOA or the easy-to-measure RSS. However, dramatically large errors due to undesirable multipath conditions also occur in TOA estimation. To estimate the TOA in indoor areas accurately, we need to resort to different and more complex signaling formats, frequencies of operation, and signal processing techniques that can resolve the problems. The signature of the delay power pro le, available at RAKE receivers in third-generation systems provides a combination of TOA and RSS of the dominant paths that can provide more accurate metrics for positioning. We start our discussion on metrics with TOA estimation techniques. 13.2.1 TOA Techniques for Indoor and Urban Ranging TOA-based systems measure the distance based on an estimate of signal propagation delay (i.e., TOA), between a transmitter and a receiver since in free space or in air, radio signals travel at the constant speed of light. The TOA can be measured either by measuring the phase of the received narrowband carrier signal or by direct measurement of the arrival time of a wideband narrow pulse. The wideband pulses for measuring TOA can be generated either directly or by using spread-spectrum technology. In this section we present these techniques in three classes: narrowband, wideband, and ultrawideband techniques. The behavior of the TOA sensors in indoor multipath propagation is highly sensitive to the bandwidth of the sensor. The UWB systems, which exploit bandwidths in excess of 1 GHz, have attracted considerable attention as a means of measuring accurate TOA for indoor geolocation applications [Fon01]. Due to the high attenuation associated with the use of a high-frequency carrier and recent FCC regulations on UWB, these systems are typically focused on 3.1 to 10.6-GHz unlicensed bands. With the results of propagation measurement in a typical modern of ce building, it has been shown that the UWB signal does not suffer multipath fading, which is desirable for accurate TOA estimation in indoor areas. However, similar to other TOA systems, UWB systems cannot avoid undetected direct path (UDP) problems [Pah98], they have limited coverage, and their actual deployment requires compliance with FCC regulations. The main concern of the FCC authorities is the interference of UWB devices, among other licensed services, to the GPS systems that operate approximately at the
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CHAPTER
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Figure 10-14: Windows Home Server includes Windows Media Center Connector
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Metal oxide semiconductor eld-effect transistors (MOSFETs), 426 429, 430. See also s-Si MOSFETs and Field-effect transistors (FETs) in integrated circuits, 429, 431 stretchable, 439 440 Metal polychalcogenide species, developing, 80 Metal selenide lms, 212 Metal semiconductor metal (MSM) IR detectors, in heterogeneous three-dimensional integration, 435 436 Metal tellurides, 98 101 Metamaterials, 331, 339 2-Methoxyethanol, 40 Micelle templating, 285 Microcontact printing, 17, 52 53 Microelectromechanical systems (MEMS), 25, 397 Microelectronics, 1 2 macroelectronics versus, 409 Microelectronics industry, printing and, 384 386 Micromanipulators, for macroelectronics, 413 Micro/nanoscale elements, for macroelectronics, 413 414, 415 Micro/nanoscale objects, approaches using, 17 Microphotonics, silicon, 23 Microstructured lm deposition, xiv xv Miller indices, 173 Minority-carrier traps, 216 Mobility, 12 15, 78, 327, 353, 381 382 of organic versus inorganic semiconductors, 381 of silicon lm, 139 of TFT, 145, 147 Modi ed EISA process, 304 Modi ed SILAR system, 258 Molecular-beam epitaxy (MBE), 203 Molecular dynamics, 66 Molecular precursors, 294 Molten metals, printing with, 396 Molybdenum (Mo), CuInS2 growth on, 171 172 Molybdenum foil substrates, 171 Molybdenum sul de (MoS2), 102 103
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except when you are running a Web server or checking particular error conditions; then you may want to point the log file to a different location, increase its size, or change the overwrite behavior for older events.
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Client/server e-mail, supporting multiple protocols through X.400 gateway.
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It can be seen that the input impedance of a CG device is low, about 1/(gm + gmb).
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With the rst paragraph I create interest and excitement for this product. With the second paragraph I start to weave the drama of the product and the differences between Fireball and conventional pinball games. Then I go into the next block of copy and explain why and how the game is different, how to play it and some of the unique features made possible by the computerized electronics. Logically, a reader who had read this far would want to know a little more about how the game was constructed, the quality of the product and the many new features. Therefore, the next block of copy has this information. Okay, you are really interested in purchasing this game. But you say to yourself, How can I justify it I d love to get this Fireball game. Emotionally I m hooked, but how can I justify purchasing it So the next block should justify the purchase. I used cost comparisons with what you pay for a TV set, pool table or your stereo system. I plant the seed about its practicality when guests pop in and how Fireball will be the hit of any party or family gathering. It s here that I m giving the prospects the logic they need to make that emotional purchase. I even suggest that a business might purchase one as a way to entertain employees at work and claim it as an investment tax credit and depreciation expense all tax-saving measures. I knew I had to provide all the logic possible for this $650 purchase. By now the customer is saying to himself, Okay, I want to get the unit and I can justify the purchase, but what if I use it, get tired of it and it sits in the corner like that exercise device that s gathering dust So I go into the fact that it has lasting play value. And I describe several reasons why people won t get tired of it. The customer is now thinking to himself, Hmm. I like the product, I can justify it and I can see that it will have lasting play
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Hybrid Selection Maximum Ratio Combining A compromise between selection diversity and full signal combining is the so-called hybrid selection scheme, where the best L out of Nr antenna signals are chosen, downconverted, and processed. This reduces the number of required RF chains from Nr to L, and thus leads to signi cant savings. The savings come at the price of a (usually small) performance loss compared with the full-complexity system. The approach is called Hybrid Selection/Maximum Ratio Combining (H-S/MRC), or sometimes also Generalized Selection Combining (GSC). It is well known that the output SNR of MRC is just the sum of the SNRs at the different receive antenna elements. For H-S/MRC, the instantaneous output SNR of H-S/MRC looks deceptively similar to MRC namely:
CHAPTER 2. BURST-BY-BURST ADAPTIVE WIRELESS TRANSCEIVERS
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