By Simon Haykin

This collaborative paintings offers the result of over 20 years of pioneering study by way 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 each one bankruptcy guiding the reader to the unique learn on which this publication is predicated.

Show description

Read Online or Download Adaptive Radar Signal Processing PDF

Best signal processing books

A Foundation in Digital Communication

This intuitive but rigourous creation derives the middle result of electronic conversation from first rules. conception, instead of criteria, motivates the engineering techniques, and key effects are said with all of the required assumptions. The ebook emphasizes the geometric view, establishing with the interior product, the matched clear out for its computation, Parseval's theorem, the sampling theorem as an orthonormal growth, the isometry among passband signs and their baseband illustration, and the spectral-efficiency optimality of quadrature amplitude modulation (QAM).

Circuits, Signals, and Systems for Bioengineers: A MATLAB-Based Introduction (Biomedical Engineering)

Techniques akin to the move functionality and the Fourier and the Laplace transforms are vital instruments for bioengineers that frequently thought of borrowed from electric engineering. this article permits bioengineering scholars and bioengineers the facility to foster a feeling of possession of those instruments by means of delivering them with an effective starting place within the ideas of linear platforms research.

Understanding digital signal processing

The results of DSP has entered each section of our lives, from making a song greeting playing cards to CD avid gamers and mobile phones to clinical x-ray research. with no DSP, there will be no net. lately, each element of engineering and technology has been stimulated through DSP as a result ubiquitous machine computing device and on hand sign processing software program.

RF and digital signal processing for software-defined radio : a multi-standard multi-mode approach

Comprehend the RF and electronic sign Processing rules riding Software-defined Radios! Software-defined radio (SDR) expertise is a configurable, not pricey, and gear effective resolution for multimode and multistandard instant designs. This ebook describes software-defined radio innovations and layout rules from the viewpoint of RF and electronic sign processing as played inside of the program.

Extra info for Adaptive Radar Signal Processing

Example text

The connection with Slepian’s original exposition [39] is established by writing Vk ( f ) = (1 ε k ) e − jπf ( N −1)U k ( − f ) 7 Thomson [38] uses the routines BISECT and TINVIT to evaluate the Slepian sequences, and λk (N, W ) = W 12 ∫−W Vk ( f ) 2 df ∫−1 2 Vk ( f ) 2 df for the eigenvalues. Inclusion of N in the argument arises due to dependence of V k ( f) on N. 17) n=0 A step-by-step procedure involved in computing the data υ(k) n ’s and spectral V k ( f )’s windows (Slepian sequences and functions) is summarized as follows: 1.

Basically, Thomson has proved that a more fruitful approach to a spectrum estimator is through the spectral representation of X(t) itself (Cramér representation). Ishimaru [12] gives a particularly lucid explanation of how this representation is defined. 1). In attempting to develop a spectral representation for the random function X(t), it is tempting to write down the Fourier transform X (t ) = ∫ ∞ −∞ X ( f ) e j 2πft df However, the stationarity assumption is then violated, since Dirichlet’s condition requires that X(t) be absolutely integrable—that is, that ͐∞−∞|X(t)| dt be finite.

Actually, another way of viewing MTM, is by having the data pass through the baseband (low-pass) filter (Fig. 4) as it slides over all frequencies in the interval (−1/2, 1/2). Since spectrum estimation is essentially the estimation of signal power within a certain analysis window and this can ideally be done with a narrow rectangular filter, we see that the baseband filter is the best possible approximation of such a window. The fact that more than one window is used makes for a smaller variance in the estimator.

Download PDF sample

Rated 5.00 of 5 – based on 26 votes