Multi-user data sharing in radar sensor networks
Proceedings of the 5th international conference on Embedded networked sensor systems
Fault-tolerant and energy efficient cross-layer design for wireless sensor networks
International Journal of Sensor Networks
Emergency guiding and monitoring applications in indoor 3D environments by wireless sensor networks
International Journal of Sensor Networks
Improving mobile target detection on randomly deployed sensor networks
International Journal of Sensor Networks
Latency-aware and energy efficiency tradeoffs for wireless sensor networks
International Journal of Sensor Networks
A green wireless sensor network for environmental monitoring and risk identification
International Journal of Sensor Networks
Reconnaissance with slant plane circular SAR imaging
IEEE Transactions on Image Processing
A system model and inversion for synthetic aperture radar imaging
IEEE Transactions on Image Processing
Slant Plane CSAR Processing Using Householder Transform
IEEE Transactions on Image Processing
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A three dimensional 3D imaging method which is a complex-valued generalised Radon transform CGRT-CLEAN algorithm for circular radar sensor networks CRSN is proposed in this paper. Based on the analysis of CRSN echo model, the echo of a scatterer in the range-azimuth domain can be modelled as a single cycle sinusoid. Inspired by the generalised Radon transform, this paper utilises the CGRT to estimate for scatterers' positions. Then, combining the CGRT with CLEAN technique, the parameters of a scatterer which include position information and reflection coefficient can be obtained. Thus, a 3D image of a target can also be reconstructed. Comparing with other algorithms, the outstanding characteristic of the proposed algorithm is that there is no need to analyse azimuth spectrum to achieve a 3D imaging. The performances of the CGRT-CLEAN method have been verified by simulations, and the results confirm the effectiveness of the proposed algorithm for processing CRSN data.