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Decades ago, vacuum tubes, also known as electron tubes, were the only devices available for use as amplifiers, oscillators, detectors, and other electronic circuits and systems A typical tube (called a valve in England) ranged from the size of your thumb to the size of your fist They are still used in some power amplifiers, microwave oscillators, and video display units Tubes generally require high voltage Even in modest radio receivers, 100 V to 200 V dc was required when tubes were employed This mandated bulky power supplies, and created an electrical shock hazard Nowadays, a transistor of microscopic dimensions can perform the functions of a tube in most situations The power supply can be a couple of AA cells or a 9-V transistor battery Even in high-power applications, transistors are smaller and lighter than tubes Figure 19-1 is a size comparison drawing between a transistor and a vacuum tube for use in an AF or RF power amplifier Integrated circuits (ICs), hardly larger than individual transistors, can do the work of hundreds or even thousands of vacuum tubes An excellent example of this technology is found in personal computers and the peripheral devices used with them 19-1 A power-amplifier

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Using the navigation state vector de ned in eqn (914), this section presents the GPS measurement prediction and the GPS measurement residual equations that would be used by the Kalman lter Using the estimate of the vehicle position p and the ECEF position of the i-th satellite pi , which is computed from the ephemeris data as discussed in Appendix C, the computed range to the i-th satellite vehicle (SV) is x R( , pi ) = pe pi

(923)

transistor (at left) is much smaller than a vacuum tube of comparable powerhandling capacity (right) 315

(924)

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where pe is the estimated ECEF position of the system, pe is the ECEF 0 n position of the origin of the t-frame, and pt = [ , e, hr ] is the estimated tangent plane position of the system The matrix Re is the constant rotat tion matrix from the t-frame to the ECEF frame The following discussion will assume that there is information available about the common mode errors related to the i-th satellite It will be de noted as i for pseudorange (see eqn (87)) and as i for carrier phase (see eqn (827)) This information could be obtained, for example, from di erential corrections If there is no information available about the common mode errors, then i = 0, i = 0, and methods such as the Schmidt Kalman lter or state augmentation could be used to accommodate the GPS time correlated errors The pseudorange is a function of both the range R(x, p) and the receiver clock bias c tr (see Section 843) The designer can choose between (at least) two approaches to handling the receiver clock error These choices are discussed in the following two subsections

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Various elements, compounds, and mixtures can function as semiconductors The two most common materials are silicon and a compound of gallium and arsenic known as gallium arsenide (often abbreviated GaAs) In the early years of semiconductor technology, germanium formed the basis for many semiconductors; today it is seen occasionally, but not often Other substances that work as semiconductors are selenium, cadmium compounds, indium compounds, and the oxides of certain metals

y1 (t) y2 (t) = s(t) + n1 (t) = s(t) + n2 (t)

where the measurement noise terms n1 and n2 are stationary random processes with known power spectral densities The signal portion s(t) may be deterministic or nonstationary; however, a model for s(t) is not available A general approach to the problem is illustrated in Figure 76 The output of the ltering scheme of Figure 76 is 1 s(t) = G1 (s)[y1 (t)] + G2 (s)[y2 (t)] (723)

The objective would be to design the lters G1 (s) and G2 (s) to optimally estimate the signal s(t) from the noisy measurements y1 (t) and y2 (t) In

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