Le, AT, Nan, Y, Tran, LC, Huang, X, Guo, YJ & Vardaxoglou, JCY 2018, 'Analog Least Mean Square Loop for Self-Interference Cancellation in Generalized Continuous Wave SAR', In Proceedings of the IEEE 88th Vehicular Technology Conference, IEEE Vehicular Technology Conference, IEEE, Chicago, US, pp. 1-5.View/Download from: UTS OPUS or Publisher's site
Generalized continuous wave synthetic aperture radar (GCW-SAR) is a promising new imaging radar system since it applies the full-duplex (FD) transmission technique to achieve continuous signaling in order to overcome several fundamental limitations of the conventional pulsed SARs. As in any FD wireless communication system, self-interference (SI) is also a key problem which can impact on the GCW-SAR system. In this paper, the analog least mean square (ALMS) loop in the radio frequency domain is adopted to cancel the SI for a GCW-SAR system with periodic chirp signaling. The average residual SI power after the ALMS loop is analyzed theoretically by a stationary analysis. It is found that the ALMS loop not only works with random signals in general FD communication systems, but also works well with the periodic signal in GCW-SAR systems. Simulation results show that over 45 dB SI cancellation can be achieved by the ALMS loop which ensures the proper operation of the GCW-SAR system.
Nan, Y, Huang, X & Guo, YJ 2017, 'A Generalized Continuous Wave Synthetic Aperture Radar', Proceedings of the 85th Vehicular Technology Conference, Vehicular Technology Conference, IEEE, Sydney, Australia, pp. 1-5.View/Download from: UTS OPUS or Publisher's site
Attention has been devoted to Synthetic Aperture
Radar (SAR) for half a century. Though it is a well-proven
remote sensing technique, conventional pulsed SAR has several
inherent limitations. In this paper, we present a new SAR concept,
called Generalized Continuous Wave SAR (GCW-SAR). By using
continuous wave signaling, the GCW-SAR system achieves better
performance and overcomes the limitations such as the minimum
antenna area in conventional SAR. Unlike the frequency modulated
continuous wave SAR (FMCW-SAR) system, the GCWSAR
image is reconstructed by correlation between the sampled
raw data and the location dependent reference signals. A fast
image reconstruction algorithm is also presented in the paper.
The principle of GCW-SAR and the effectiveness of the proposed
algorithm are validated by numerical simulation results.
Nan, Y, Huang, X & Guo, YJ 2017, 'Passive Synthetic Aperture Radar Imaging with Piecewise Constant Doppler Algorithm', 2017 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC), IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, IEEE, Veorna, Italy.View/Download from: UTS OPUS or Publisher's site
This paper presents a non-cooperative space-surface bistatic synthetic aperture radar (SS-BSAR) with a novel image reconstruction algorithm. Exploiting the continuous wave signal from the transmitters of opportunity, the new algorithm produces better imaging performance. Unlike the conventional passive SAR, the image reconstruction is achieved by correlation in time-domain without distinction between fast time and slow time. With the movement of the radar, the range curve can be linearized within multiple segments. In each segment, the Doppler frequency shift incurred in the reflected signal from a target can be assumed to be constant and thus the SAR image can be reconstructed recursively. The proposed piecewise constant Doppler (PCD) algorithm is validated by the simulation results.