Advanced Radar Detection Schemes Under Mismatched Signal Models

Francesco Bandiera (u. a.)

ISBN 10: 3031014049 / ISBN 13: 9783031014048

Editore: Springer International Publishing, 2009

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Advanced Radar Detection Schemes Under Mismatched Signal Models | Francesco Bandiera (u. a.) | Taschenbuch | ix | Englisch | 2009 | Springer International Publishing | EAN 9783031014048 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Codice articolo 121975596

Dati bibliografici

• Titolo: Advanced Radar Detection Schemes Under Mismatched Signal Models
• Editore: Springer International Publishing
• Data di pubblicazione: 2009
• Lingua: Inglese
• ISBN 10: 3031014049
• ISBN 13: 9783031014048
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 191 A x 7 P (millimetri) 235 millimetri di larghezza per 191 millimetri di altezza per 7 millimetri di profondità
• Peso: 219 grammi
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Riassunto

Adaptive detection of signals embedded in correlated Gaussian noise has been an active field of research in the last decades. This topic is important in many areas of signal processing such as, just to give some examples, radar, sonar, communications, and hyperspectral imaging. Most of the existing adaptive algorithms have been designed following the lead of the derivation of Kelly's detector which assumes perfect knowledge of the target steering vector. However, in realistic scenarios, mismatches are likely to occur due to both environmental and instrumental factors. When a mismatched signal is present in the data under test, conventional algorithms may suffer severe performance degradation. The presence of strong interferers in the cell under test makes the detection task even more challenging. An effective way to cope with this scenario relies on the use of "tunable" detectors, i.e., detectors capable of changing their directivity through the tuning of proper parameters. The aim of this book is to present some recent advances in the design of tunable detectors and the focus is on the so-called two-stage detectors, i.e., adaptive algorithms obtained cascading two detectors with opposite behaviors. We derive exact closed-form expressions for the resulting probability of false alarm and the probability of detection for both matched and mismatched signals embedded in homogeneous Gaussian noise. It turns out that such solutions guarantee a wide operational range in terms of tunability while retaining, at the same time, an overall performance in presence of matched signals commensurate with Kelly's detector. Table of Contents: Introduction / Adaptive Radar Detection of Targets / Adaptive Detection Schemes for Mismatched Signals / Enhanced Adaptive Sidelobe Blanking Algorithms / Conclusions