Download Adaptive Radar Signal Processing by Simon Haykin PDF

By Simon Haykin

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 examine on which this ebook is predicated.

Show description

Read Online or Download Adaptive Radar Signal Processing PDF

Best microwaves books

Turbo-like Codes: Design for High Speed Decoding

This booklet introduces faster blunders correcting suggestion in an easy language, together with a normal idea and the algorithms for interpreting turbo-like code. It provides a unified framework for the layout and research of faster codes and LDPC codes and their interpreting algorithms. an immense concentration is on excessive velocity faster interpreting, which objectives purposes with facts charges of a number of hundred million bits according to moment (Mbps).

Heterojunction Bipolar Transistors for Circuit Design: Microwave Modeling and Parameter Extraction

A hugely complete precis on circuit similar modeling strategies and parameter extraction equipment for heterojunction bipolar transistors• Heterojunction Bipolar Transistor (HBT) is likely one of the most crucial units for microwave purposes. The publication information the actual equipment modeling for HBTs and excessive point IC layout utilizing HBTs• offers a necessary connection with easy modeling concerns and particular semiconductor equipment types encountered in circuit simulators, with a radical reference record on the finish of every bankruptcy for onward studying• deals an outline on modeling recommendations and parameter extraction tools for heterojunction bipolar transistors concentrating on circuit simulation and layout• provides electrical/RF engineering-related thought and instruments and comprise similar circuits and their matrix descriptions, noise, small and massive sign research equipment

Propagation Engineering in Wireless Communications

This booklet covers the fundamental rules for realizing radio wave propagation for universal frequency bands utilized in radio-communications. This contains achievements and advancements in propagation types for instant conversation. This booklet is meant to bridge the distance among the theoretical calculations and ways to the utilized strategies wanted for radio hyperlinks layout in a formal demeanour.

Additional resources for Adaptive Radar Signal Processing

Example text

2 Angle-of-Arrival Estimation in the Presence of Multipath The Composite Spectrum The use of adaptive weighting as developed above provides superior protection against leakage and bias. Thomson also offers a further refinement to achieve higher resolution by considering each specific frequency point f0 as a free parameter in (f − W ≤ f0 ≤ f + W). 36) k =0 and Sˆ (f0) is the adaptive spectrum developed earlier. This choice of weights imposes the constraint that Sˆ(f0) should have sufficient degrees of freedom for w(f0) to have a reasonable distribution.

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. 21) are, individually, the direct spectrum estimates, and we therefore call them eigenspectra. 22) k =0 The Adaptive Spectrum While the lower-order eigenspectra have excellent bias properties, there is some degradation as k increases toward 2NW. In his 1982 paper [36], Thomson introduces a set of weights {dk ( f )} that downweight the higher order eigenspectra.

The reason for varying the time–bandwidth product has to do with the bias-variance trade-off that is the result of the ill-posedness of the spectrum estimation problem. If the analysis window W is too small (to better resolve details), we have poor statistical stability (larger variance); but if W is too large, the estimate has poor frequency resolution. We see these effects, both here, in the spectra and in the F-tests considered in the following section. 9 The crude spectra S¯ ( f ) for NW = 2 and 4.

Download PDF sample

Rated 4.55 of 5 – based on 26 votes