Read e-book online Adaptive Radar Signal Processing PDF

By Simon Haykin

ISBN-10: 0471735825

ISBN-13: 9780471735823

This collaborative paintings provides the result of over 20 years of pioneering learn by means of Professor Simon Haykin and his colleagues, facing using adaptive radar sign processing to account for the nonstationary nature of our environment. those effects have profound implications for defense-related sign processing and distant sensing. References are supplied in every one bankruptcy guiding the reader to the unique examine on which this publication is predicated.

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Apxp 2. E{Y} = A1x1 + A2 x2 + . . + Aqxq where q < p. The A’s in both models are the same when the subscripts are the same. We simply have fewer parameters to fit in the second one compared to the first. 1 The Basic ANOVA Table Variation Source Regression Residuals 13 Degrees of Freedom Sum of Squares (SS) Mean SS ν1 ν2 SS1 = ||Axˆ|| SS2 = ||y − Axˆ||2 MSreg = SS1/ν1 s2 = SS2 /ν2 2 In practice, of course, we require a computed F ratio that is much larger than the tabulated one. 7 F-Test for the Line Components s2 = 37 S1 2 (n − p) is also an estimate for the squared variance for model 1.

We also observe a gradual decay of the eigenvalue spectrum, a clear indication of the existence of colored noise. To summarize, both the classical and eigendecomposition methods mentioned above, fail in estimating fully and correctly both the line and continuous parts of the given spectrum. 8 MFBLP (a) and MUSIC (b) spectra. 11) by expanding its factors in ( f − W, f + W) using the Slepian basis. 19) k =0 where the asterisk denotes complex conjugation. 20) n=0 We call the {xk ( f )} the eigencoefficients of the kth sample.

The first, being essentially a plane wave, appears as an additional spectral line, while the latter, being stochastic, has a broader continuous shape. 4 Thomson’s Multi-Taper Method 19 of data samples. Ideally, the method used for this purpose should be nonparametric in nature (this refers to the continuous spectrum background) so as not to be influenced by any a priori assumption about the signal structure. 5 In particular, MTM offers the following attractive features: • MTM is nonparametric. • It provides a unified approach on spectrum estimation.

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Adaptive Radar Signal Processing by Simon Haykin

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