Multichannel adaptive signal detection uses test and training data jointly to form an adaptive
detector to determine whether a target exists. The resulting adaptive detectors typically …

In this two-part paper, we consider the problem of adaptive multidimensional/multichannel
signal detection in Gaussian noise with unknown covariance matrix. The test data (primary …

In this paper, we consider the problem of detecting a multichannel signal in interference and
noise when signal mismatch happens. We first propose two selective detectors, since their …

We consider adaptive detection of a Gaussian rank-one component known up to a scaling
factor buried in Gaussian noise with unknown statistics, a problem which arises when …

This paper investigates the statistical performance of three adaptive detectors in the
presence of subspace interference and Gaussian noise. The interference is deterministic …

This paper investigates the problem of adaptive detection of a range-spread target in
colored Gaussian disturbance. The range-spread target is described by a multi-rank …

This paper deals with the problem of detecting distributed targets in the presence of partially
homogeneous Gaussian disturbance with unknown covariance matrix. Since no uniformly …

与空时自适应处理(STAP) 相比, 机载雷达空时自适应检测(STAD) 方法利用待检测单元及训练
样本的数据形成合理的检测统计量, 直接判定目标的有无, 而不用先进行杂波抑制, 然后再检测 …

This letter deals with the problem of clutter edge detection and localization in training data.
To this end, the problem is formulated as a binary hypothesis test assuming that the ranks of …

For the problem of subspace signal detection, three adaptive detectors have been proposed
in the past, namely, the subspace-based generalized likelihood ratio test, subspace-based …