The purpose of this paper is to elaborate on the invariant framework proposed in "An invariant approach to adaptive radar detection under covariance persymmetry" (A. De Maio and D. Orlando, IEEE TRANS. SIGNAL PROCESSING, vol. 63, no. 5, pp. 1297-1309, May 2015) so as to account for target fluctuations at the design stage. To this end, we assume that the radar cross section of the target is ruled by an exponential distribution (Swerling 1 target model) and derive the complete statistical characterization of a maximal invariant statistic. Hence, we exploit the obtained probability density functions to synthesize both the optimum and the locally optimum (in the low Signal-to-Interference-plus-Noise Ratio regime) invariant receivers. Finally, we discuss some invariant sub-optimum decision rules based on theoretically solid design criteria and analyze their performances in comparison with the benchmark invariant test.

Design and Analysis of Invariant Receivers for Gaussian Targets

Orlando D;
2015-01-01

Abstract

The purpose of this paper is to elaborate on the invariant framework proposed in "An invariant approach to adaptive radar detection under covariance persymmetry" (A. De Maio and D. Orlando, IEEE TRANS. SIGNAL PROCESSING, vol. 63, no. 5, pp. 1297-1309, May 2015) so as to account for target fluctuations at the design stage. To this end, we assume that the radar cross section of the target is ruled by an exponential distribution (Swerling 1 target model) and derive the complete statistical characterization of a maximal invariant statistic. Hence, we exploit the obtained probability density functions to synthesize both the optimum and the locally optimum (in the low Signal-to-Interference-plus-Noise Ratio regime) invariant receivers. Finally, we discuss some invariant sub-optimum decision rules based on theoretically solid design criteria and analyze their performances in comparison with the benchmark invariant test.
2015
De Maio, A; Orlando, D; Farina, A; Foglia, G
File in questo prodotto:
File Dimensione Formato  
Invariant_Receivers_for_Gaussian_Targets.pdf

non disponibili

Tipologia: Versione finale editoriale
Licenza: NON PUBBLICO - accesso privato/ristretto
Dimensione 2.22 MB
Formato Adobe PDF
2.22 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1270504
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 3
social impact