The exploitation of data acquired by a multiplatform system has been demonstrated to be able to increase the cross range resolution of ISAR images of rotating targets. In this paper we focus on Distributed-ISAR (D-ISAR) making use of stepped-frequency waveforms, obtaining a high range resolution through a synthetic range-profile processing. Both scenarios, multistatic or MIMO are considered: in the multistatic case one sensor of the formation transmits and the remaining just receive, while in the MIMO case each platform carries an active radar and receives echoes from all the transmissions. A suitable set of waveforms is proposed for the MIMO case and the required focusing technique is shown and tested against simulated D-ISAR data. Moreover, for the multistatic case, the proposed concept and processing scheme are validated by using a set of real data acquired in anechoic chamber. © 2011 IEEE.
Multi-angle distributed ISAR with stepped-frequency waveforms for surveillance and recognition / Santi, Fabrizio; Bucciarelli, Marta; Pastina, Debora. - 1:(2011), pp. 528-532. (Intervento presentato al convegno 6th International Conference on Radar, RADAR 2011 tenutosi a Chengdu; China nel 24 October 2011 through 27 October 2011) [10.1109/cie-radar.2011.6159595].
Multi-angle distributed ISAR with stepped-frequency waveforms for surveillance and recognition
SANTI, FABRIZIO;BUCCIARELLI, MARTA;PASTINA, Debora
2011
Abstract
The exploitation of data acquired by a multiplatform system has been demonstrated to be able to increase the cross range resolution of ISAR images of rotating targets. In this paper we focus on Distributed-ISAR (D-ISAR) making use of stepped-frequency waveforms, obtaining a high range resolution through a synthetic range-profile processing. Both scenarios, multistatic or MIMO are considered: in the multistatic case one sensor of the formation transmits and the remaining just receive, while in the MIMO case each platform carries an active radar and receives echoes from all the transmissions. A suitable set of waveforms is proposed for the MIMO case and the required focusing technique is shown and tested against simulated D-ISAR data. Moreover, for the multistatic case, the proposed concept and processing scheme are validated by using a set of real data acquired in anechoic chamber. © 2011 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
