We present two stochastic filters for an FM-band passive air surveillance radar. The first
system uses an extended Kalman filter and delay-Doppler measurements to track targets …

Many problems involve joint decision and estimation, where qualities of decision and
estimation affect each other. This paper proposes an integrated approach based on a new …

In this thesis, we present a recursive Bayesian solution to the problem of joint tracking and
classification for ground-based air surveillance. In our system, we specifically allow for …

We present ACMI, an FM-based indoor localization system that does not require proactive
site profiling. ACMI constructs the fingerprint database based on pure estimation of indoor …

The high computational complexity of existing joint tracking and classification (JTC)
algorithms hampers their application. After presenting a new description of the JTC problem …

We address an ill-posed inverse problem of image estimation from sparse samples of its
Fourier transform. The problem is formulated as joint estimation of the supports of unknown …

联合目标跟踪与分类(JTC) 技术是信息融合领域新兴的一个研究方向. 其基本思想是:
通过在目标跟踪器和目标分类器之间进行双向信息交互, 来同时有效地提高目标的跟踪精度和 …

We consider the problem of joint tracking and classification using the information from radar
and electronic support measure. For each target class, a separate filter is operated in …

In passive radar based on illuminators of opportunity, one of the key problems is the
suppression of the direct path interference (DPI) from the illuminator. This paper analyzes …

We present new methods for computing fundamental performance limits for two-dimensional
(2-D) parametric shape estimation in nonlinear inverse scattering problems with an …