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Waveform Design and Diversity for Advanced Radar Systems (Anglais) Relié – 30 mars 2012


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Présentation de l'éditeur

In recent years, various algorithms have been suggested for radar signal design that rely heavily upon complicated processing architectures. These techniques owe their genesis to several factors, including revolutionary technological advances and the stressing performance requirements, often imposed by defence applications in areas such as airborne early warning and homeland security. Increasingly complex operating scenarios calls for sophisticated algorithms with the ability to adapt and diversify dynamically the waveform to the operating environment in order to achieve a performance gain over classic radar waveforms. Thus, for example, a modern multifunction phased array radar can adapt the waveform, dwell time and update interval according to the nature of the particular target, e.g. the likely type of target, the clutter environment, the signal-to-noise ratio, the threat that it may represent and the degree to which it is manoeuvring. This is essentially the subject of waveform diversity. This new flexibility demands new ways of characterising waveform properties and optimising waveform design. This ability is very critical in increasing our objective performance as the ability will match the transmission waveform to the transmission environment and the sensing objective. The book intends to cover the most relevant current research thrusts, such as the fundamentals of waveform design for netted radars (bistatic, passive, multistatic, MIMO, cooperative and non-cooperative), adaptive design of radar waveforms in cluttered environment, the role of a cognitive processing in waveform design and diversity, bio-inspired radar waveforms, adaptive waveform design for target discrimination and tracking.

Biographie de l'auteur

Antonio De Maio is an Associate Professor at the University of Naples Federico II . His research interest lies in the field of statistical signal processing, with emphasis on radar detection and convex optimization applied to radar signal processing. Fulvio Gini is Full Professor at the University of Pisa. His research interests include modeling and statistical analysis of radar clutter data, non-Gaussian signal detection and estimation, parameter estimation and data extraction from multichannel interferometric SAR data. Lee K. Patton is a radar engineer at the Air Force Research Laboratory where he conducts research in radar signal processing and waveform design.

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HASH(0x90401a44) étoiles sur 5 If you design sophisticated radar systems, you need this book. 9 mars 2014
Par Robert Lee - Publié sur Amazon.com
Format: Relié Achat vérifié
Every radar design book from Skolnik on down treats the design and analysis of radar waveforms. These days waveforms are everything, as radars have nearly exhausted to parameters of power and duty cycle in trying to achieve improvements in range, Doppler capability, resolution, and reduced false-alarm rate. So what is left to improve lies mainly in the realm of mathematics. It goes over the basics of various types of pulse coding, adds an information-theory approach, and treats multi-static and passive bi-static geometries. Then it takes an interesting tour through biological radar systems (which are surprisingly sophisticated), followed by a thorough treatment of auto radar sonar systems. Then back to sophisticated approaches to pulse compression, space-time diversity, waveform performance in target classification and tracking. Finally there is a discussion of signal-dependent clutter, and how to optimize the receiver for it. This British IET book is written by various authors, so the treatment is slightly uneven, but in general the level of treatment is high.
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