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007 cr nn 008mamaa
008 220601s2009 sz | s |||| 0|eng d
020 _a9783031025327
_9978-3-031-02532-7
024 7 _a10.1007/978-3-031-02532-7
_2doi
050 4 _aT1-995
072 7 _aTBC
_2bicssc
072 7 _aTEC000000
_2bisacsh
072 7 _aTBC
_2thema
082 0 4 _a620
_223
100 1 _aBandiera, Francesco.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_985761
245 1 0 _aAdvanced Radar Detection Schemes Under Mismatched Signal Models
_h[electronic resource] /
_cby Francesco Bandiera, Danilo Orlando, Giuseppe Ricci.
250 _a1st ed. 2009.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2009.
300 _aIX, 95 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Signal Processing,
_x1932-1694
505 0 _aIntroduction -- Adaptive Radar Detection of Targets -- Adaptive Detection Schemes for Mismatched Signals -- Enhanced Adaptive Sidelobe Blanking Algorithms -- Conclusions.
520 _aAdaptive 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.
650 0 _aEngineering.
_99405
650 0 _aElectrical engineering.
_985763
650 0 _aSignal processing.
_94052
650 1 4 _aTechnology and Engineering.
_985765
650 2 4 _aElectrical and Electronic Engineering.
_985766
650 2 4 _aSignal, Speech and Image Processing.
_931566
700 1 _aOrlando, Danilo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_985767
700 1 _aRicci, Giuseppe.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_985769
710 2 _aSpringerLink (Online service)
_985770
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031014048
776 0 8 _iPrinted edition:
_z9783031036606
830 0 _aSynthesis Lectures on Signal Processing,
_x1932-1694
_985772
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02532-7
912 _aZDB-2-SXSC
942 _cEBK
999 _c85854
_d85854