A study of the maximum likelihood registration (MLR) algorithm for spatial alignment of
multiple, possibly dissimilar (active or passive) sensors is presented. The MLR algorithm is a …

An on-line solution to the aircraft tracking problem with a distributed network of 3D sensors
that are imperfectly registered is presented. Errors in the relative positions and orientations …

In performing surveillance using a sensor network, data association and registration are two
essential processes which associate data from different sensors and align them in a …

Space and time alignments are the prerequisites for the successful fusion of multiple
sensors. A space-time registration model is proposed to estimate the system biases and to …

An important step in a multi-sensor surveillance system is to estimate sensor biases from
their noisy asynchronous measurements. This estimation problem is computationally …

Various multisensor data fusion architectures have been utilized to support the Maritime
Surveillance (MS) in maritime tactical and strategic operations. The military tactical situation …

Millimeter-wave (mmWave) radars attain high resolution without compromising privacy while
being unaffected by environmental factors such as rain, dust, and fog. This study explores …

在数据融合系统中, 传感器自身系统误差造成其上报融合中心的目标位置状态出现系统性偏差,
若得不到有效估计与补偿, 融合系统难以实现预期的性能优势. 然而, 基于目标关联配对关系而 …

This paper considers the effectiveness of different registration algorithms in an air
surveillance radar tracking environment. The evaluation is based on real data collected from …

In this paper, a two-layer fusion structure is adopted to estimate the time-varying sensor bias
for multi-target tracking systems with multiple asynchronous sensors. We consider the …