This article examines the multistatic passive radar target detection problem under uncalibrated receivers with direct-path interference. To this aim, we consider a passive multistatic radar consisting of several transmitters nonoverlapping in frequency with a common bandwidth and several spatially separated receivers without exploiting the reference channel. For uncalibrated, multichannel and multifrequency receivers and in the presence of direct-path interference signal, we model the target detection problem as a composite hypothesis testing problem and apply the Rao framework to obtain a closed-form test statistic. Monte Carlo simulation results are provided to illustrate the performance of the proposed Rao detector and compare it with several well-known passive radar target detection algorithms. The results show that the proposed detector significantly outperforms its counterparts for different multistatic configurations in terms of detection probability and false alarm regulation as well.

Multistatic Passive Radar Target Detection Under Uncalibrated Receivers With Direct-Path Interference

Maria Greco
2022-01-01

Abstract

This article examines the multistatic passive radar target detection problem under uncalibrated receivers with direct-path interference. To this aim, we consider a passive multistatic radar consisting of several transmitters nonoverlapping in frequency with a common bandwidth and several spatially separated receivers without exploiting the reference channel. For uncalibrated, multichannel and multifrequency receivers and in the presence of direct-path interference signal, we model the target detection problem as a composite hypothesis testing problem and apply the Rao framework to obtain a closed-form test statistic. Monte Carlo simulation results are provided to illustrate the performance of the proposed Rao detector and compare it with several well-known passive radar target detection algorithms. The results show that the proposed detector significantly outperforms its counterparts for different multistatic configurations in terms of detection probability and false alarm regulation as well.
2022
Zaimbashi, A.; Greco, Maria
File in questo prodotto:
Non ci sono file associati a questo prodotto.

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/11568/1176654
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? 3
social impact