By Christopher Jekeli
This publication covers all facets of inertial navigation platforms (INS), together with the sensor know-how and the estimation of software mistakes, in addition to their integration with the worldwide Positioning approach (GPS) for geodetic functions. whole mathematical derivations are given. either stabilized and strapdown mechanizations are taken care of intimately. Derived algorithms to strategy sensor information and a finished clarification of the mistake dynamics offer not just an analytical figuring out but additionally a realistic implementation of the strategies. A self-contained description of GPS, with emphasis on kinematic purposes, is without doubt one of the highlights during this book.The textual content is of interestto geodesists, together with surveyors, mappers, and photogrammetrists; to engineers in aviation, navigation, assistance, transportation, and robotics; and to scientists curious about aerogeophysics and distant sensing.
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Extra resources for Inertial Navigation Systems with Geodetic Applications
The basis functions, e-i(2"lT)kt, are like the unit vectors and the coefficients, Gk, are like coordinates. 96). The function and its Fourier transform are dual representations of the same information-one is equivalent to the other (as long as the function is continuous). The transform of a function displays the same information, but in a different domainthefrequency domain, where it is often more insightful than in the domain o f t . 101) constitute a Fourier Transform pair for periodic functions.
The interval between successive steps in t need not be constant, although in practice it is often so organized. 91) be the step size of the algorithm. (If h is not constant, replace h in the following formulas by an appropriately defined h,+l . ) We seek an approximation to the solution having the form Y,+] = Y, + h(wh + a2k2 + . . , the first derivative, f) at some point in the closed interval [tn, t,+l]: kl = f(fm Y,), k2 = f(tn +Pzh, Y, + b,1hh), ki = f(tn + P,h, Y, + t-3. , are to be determined such that the approximation, yn+i, agrees with the true value, y(t,+l), up to a certain power in h.
40) - to)) - isin(jJ(t - to))). ('-'o). Again, depending on whether or, is positive, zero, or negative, the amplitude of the oscillations will decay to zero, remain constant, or become unbounded. 23) would not be real. Furthermore, the oscillatory solutions for each pair of conjugate eigenvalues will combine to yield a real solution, as required. 1 An Example To illustrate the solutions arising from a linear, homogeneous, differential equation, consider the second-order equation with constant coefficients: where p and p, are real numbers and to = 0.