Advanced Radar Techniques and Systems (IEE Radar, Sonar, by Gaspare Galati PDF

By Gaspare Galati

ISBN-10: 086341172X

ISBN-13: 9780863411724

This significant reference quantity includes 13 significant subject matters, contributed via 9 best researchers (from 6 nations world wide (including contributions from Europe, Japan and the USA). components of insurance comprise: approach structure, layout, litter and suppression, surveillance and artificial aperture radars, detection, rejection of jamming, objective identity, phased and paired arrays, and radar sign processing. Contributions are entire mathematically and plenty of comprise exact appendices.Also available:Optimised Radar Processors - ISBN 9780863411182Principles of Space-Time Adaptive Processing, third version - ISBN 9780863415661The establishment of Engineering and know-how is among the world's major specialist societies for the engineering and know-how group. The IET publishes greater than a hundred new titles each year; a wealthy mixture of books, journals and magazines with a again catalogue of greater than 350 books in 18 assorted topic components together with: -Power & strength -Renewable strength -Radar, Sonar & Navigation -Electromagnetics -Electrical dimension -History of expertise -Technology administration

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Extra info for Advanced Radar Techniques and Systems (IEE Radar, Sonar, Navigation and Avionics, No 4)

Example text

976) The CRLB (eqns. 97) can be derived as follows: (i) The PDF of the observation, p(x\6), should be greater than zero and differentiable in a given part Dx of the x domain; this part shall not depend on 6. (H) 1(6) should always be greater than zero. 98) be the bias of 6. 100) Using hypothesis (i) above, eqns. t. 102) Multiplying eqn. 101 by E((6\6) and subtracting the result from eqn. e. 108) eqn. 105 implies that (see eqns. 96, with 1(9) given by eqn. 110) and we have demonstrated the GRLB.

110) and we have demonstrated the GRLB. Of course, the equality sign in eqn. e. not depending on x). Introducing eqns. 112) whence, if the estimator is unbiased, eqn. 97b results. Integration of eqn. t. 113) where ^l(-) is a function of 0 only and A2(') is a function of x only. 114) x where q(x) = 0, B(O) = -A(O)E(O]O) and h(x) = № \ Therefore, if an estimate O which reaches the CRLB does exist, the likelihoodfunction is of the exponential type. Moreover, it is readily shown that if (a) the hypotheses (i) and (H), under which the CRLB was derived, hold and (b) the likelihood function is of the exponential type, the estimator $ = q(x) ofeqn.

129). 132) while the variance estimator 62ML is biased, as is shown below. 136) The last term of the above expression equals —2o2/N, owing to the fact that the Af random variables Zi are uncorrelated. e. when the number of observations goes to infinity) unbiased"]". The fact that the estimator of the variance 62ML is biased is due to the contemporary estimation of the mean value/*; if we had assumed that the mean value were known (equal to zero, for example), we would have obtained a different result, as shown below.

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Advanced Radar Techniques and Systems (IEE Radar, Sonar, Navigation and Avionics, No 4) by Gaspare Galati


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