Download e-book for kindle: Adaptive Radar Signal Processing by Simon Haykin

By Simon Haykin

ISBN-10: 0471735825

ISBN-13: 9780471735823

This collaborative paintings provides the result of over two decades of pioneering learn through 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 study on which this e-book is predicated.

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Data from a sampledaperture antenna lead to the estimation of the wavenumber spectrum as well. Multipath is commonly divided into two kinds: specular and diffuse. 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.

Convergence is usually rapid, with successive spectrum estimates differing by less than 5% in 5–20 iterations. 30) for Bˆk ( f ). In his original paper [36], Thomson goes to some length to find a tighter bound than this one. The basic idea is the following: Note that the definition of E{Bk ( f )} is a convolution in the frequency domain. Transforming it into the time domain, we only need to multiply two time functions. After doing the multiplication, we can go back into the frequency domain. The whole procedure can be efficiently implemented with the standard fast Fourier transform (FFT) algorithm.

10 The adaptive spectra S¯ ( f ) for NW = 2 and 4. 8W. A larger boundary results in a larger mismatch of the power levels between the known signal components. Note the detail of the composite spectrum despite the larger spectral window. 7 F-Test for the Line Components 35 features that are of interest. Thomson [39] recommends that W be between 1/N and 20/N, with a time–bandwidth product of 4 or 5 being a common starting point. 3 are not expected to be good estimates, since we know that line components exist and that the spectrum estimation techniques developed have implicitly assumed none.

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Adaptive Radar Signal Processing by Simon Haykin


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