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Titolo:
Performance of the adaptive sidelobe blanker detection algorithm in homogeneous environments
Autore:
Richmond, CD;
Indirizzi:
MIT, Lincoln Lab, Lexington, MA 02173 USA MIT Lexington MA USA 02173MIT, Lincoln Lab, Lexington, MA 02173 USA
Titolo Testata:
IEEE TRANSACTIONS ON SIGNAL PROCESSING
fascicolo: 5, volume: 48, anno: 2000,
pagine: 1235 - 1247
SICI:
1053-587X(200005)48:5<1235:POTASB>2.0.ZU;2-O
Fonte:
ISI
Lingua:
ENG
Keywords:
ACE; adaptive detection; AMF; beamforming; CFAR; false alarms; GLRT; sidelobe blanker;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
--discip_EC--
Citazioni:
17
Recensione:
Indirizzi per estratti:
Indirizzo: Richmond, CD MIT, Lincoln Lab, 244 Wood St, Lexington, MA 02173 USA MIT 244 Wood St Lexington MA USA 02173 exington, MA 02173 USA
Citazione:
C.D. Richmond, "Performance of the adaptive sidelobe blanker detection algorithm in homogeneous environments", IEEE SIGNAL, 48(5), 2000, pp. 1235-1247

Abstract

The adaptive sidelobe blanker (ASB) algorithm is a two-stage detector consisting of a first stage adaptive matched filter (AMF) detector followed by a second-stage detector called the adaptive coherence (or cosine) estimator(ACE), Only those data test cells that survive both detection thresholdings are declared signal (target) bearing, We provide exact novel closed-form expressions for the resulting probability of detection (PD) and false alarm(PFA) for the ASB algorithm and demonstrate that under homogeneous data conditions with no signal array response mismatch that i) the ASB is a constant false alarm rate (CFAR) algorithm, ii) the ASB has a higher or commensurate PD for a given PFA than both the AMF and the ACE, and iii) the ASB has an overall performance that is commensurate with Kelly's benchmark generalized likelihood ratio test (GLRT), A compact statistical summary is derived providing distributions and dependencies among the GLRT, AMF, and the ACE decision statistics.

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Documento generato il 01/10/20 alle ore 15:01:54