We focus on the robust joint design of the transmit waveform and filtering structure for Polarimetrie radar. Assuming signal-dependent interference and Target Aspect Angle (TAA), we consider the worst-case Signal to Interference plus Noise Ratio (SINR) at the output of the filter bank as the figure of merit to optimize under both a similarity and an energy constraint on the transmit signal. We develop an iterative optimization procedure that monotonically improves the worst-case SINR and converges to a stationary point. The proposed method is validated through experimental results and compared with existing “TAA-aware” alternatives, thus showing its attractiveness.
Optimizing polarimetrie radar waveform and filter bank for extended targets in clutter / Cheng, Xu; Aubry, Augusto; Ciuonzo, Domenico; DE MAIO, Antonio; Li, Yongzhen; Wang, Xuesong. - (2016), pp. 1-5. (Intervento presentato al convegno 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016 tenutosi a Rio de Janeiro, Brasile nel 2016) [10.1109/SAM.2016.7569683].
Optimizing polarimetrie radar waveform and filter bank for extended targets in clutter
AUBRY, AUGUSTO;CIUONZO, DOMENICO;DE MAIO, ANTONIO;
2016
Abstract
We focus on the robust joint design of the transmit waveform and filtering structure for Polarimetrie radar. Assuming signal-dependent interference and Target Aspect Angle (TAA), we consider the worst-case Signal to Interference plus Noise Ratio (SINR) at the output of the filter bank as the figure of merit to optimize under both a similarity and an energy constraint on the transmit signal. We develop an iterative optimization procedure that monotonically improves the worst-case SINR and converges to a stationary point. The proposed method is validated through experimental results and compared with existing “TAA-aware” alternatives, thus showing its attractiveness.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
