Yongqiang Cheng

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In radar sensing and imaging, the azimuth resolution is a main concern, which is limited by the antenna aperture, and as a result the targets within the beam cannot be distinguished. By enhancing the diversity of radiation, radar can obtain additional information for resolution. In this paper, a high-resolution staring imaging technique named radar(More)
This paper deals with the problem of sensor localization when the localization error is nonlinearly propagated over the sensor network as occurs in Radio Interferometric Positioning System (RIPS). A noise model that takes the location uncertainties of anchor nodes into account in the node localization process has been derived based on a generic nonlinear(More)
When tracking a target using phase-only signal returns, range ambiguities due to the modulo 2π in measured signal phases are a major issue. Standard approaches to such problems would typically involve the use of Diophantine equations. In this paper, a simpler and robust solution is examined which uses look-up tables defined between the phase(More)
Radar coincidence imaging (RCI) is a high-resolution staring imaging technique without the limitation of relative motion between target and radar. The sparsity-driven approaches are commonly used in RCI, while the prior knowledge of imaging models needs to be known accurately. However, as one of the major model errors, the gain-phase error exists generally,(More)
The problem of hypothesis testing in the Neyman–Pearson formulation is considered from a geometric viewpoint. In particular, a concise geometric interpretation of deterministic and random signal detection in the philosophy of information geometry is presented. In such a framework, both hypotheses and detectors can be treated as geometrical objects on the(More)
Information geometry, as a powerful though complex mathematical tool can provide additional insights in the analysis of sensor measurement. In this paper, the application of information geometry to the analysis of sensor networks is explored in an attempt to gain a better understanding of sensor system issues for target detection and tracking. In(More)