… in situations where an unknown signal source is to be detected and located using data …
The majority of existing research on nonparametric multiple-channel signal detection has …

… problem of detecting a multichannel signal in interference and noise when signal mismatch
… In this paper, we considered the problem of detecting a multichannel signal in the presence …

… the first multichannel adaptive detector … multichannel adaptive signal detection with an
emphasis on the Gaussian background. We discuss the main design criteria for adaptive detectors…

… a simple signal detection approach for multi-channel seismic … This article deals only with
the detection problem where our … to signal detection using any type of multi-channel seismic …

… In this section, we have presented the derivation of the multichannel innovations-based
likelihood … the binary multichannel detection problem for a correlated Gaussian signal vector in …

… Multichannel signal detection … detectors have been proposed and used to mitigate clutter
and jamming in radar, remote sensing, and communication systems [1]–[5]. STAP detectors can …

… We consider multichannel signal detection in the presence of … detectors have been proposed
(eg, [2]–[6]). While these classical detectors set a good understanding of the multichannel …

… In this paper, we examine the subspace signal detection problem whereby the signal of …
detection probability of the subspace Rao test does not necessarily increase with the signal-…

… This paper investigates the problem of detecting a multichannel signal embedded in
subspace interference and Gaussian noise. The interference lies in a known subspace but with …

… applied in multichannel signal detection [11]–[17]. Note that these four detector design criteria
… their detection performance may not be the same with finite-size samples [16]. In fact, the …