This paper mainly deals with the problem of target detection in compound-Gaussian clutter with orthogonal frequency division multiplexing (OFDM) radar. First, the OFDM measurement model is developed to compound-Gaussian clutter by taking advantage of frequency diversity of OFDM radar waveform and we devise a generalized likelihood rate test (GLRT) detector where the target scattering coefficien...

A starshade suppresses starlight by a factor of 1011 in the image plane telescope, which is crucial for directly imaging Earth-like exoplanets. The state-of-the-art high-contrast post-processing and signal detection methods was developed specifically images taken with an internal coronagraph system focused on removal quasi-static speckles. These are less useful where such speckles not present. ...

Airborne radar Space-Time Adaptive Processing (STAP) in a heterogeneous, target-rich environment is addressed. An efficient Kalman Filter implementation of the normalized form of the Parametric Adaptive Matched Filter (NPAMF) is introduced and shown to perform well against a detailed simulation of a site-specific, dense-target environment, Ground Moving Target Indication (GMTI) scenario. The nu...

This paper addresses the standard generalized likelihood ratio test (GLRT) detection problem of weak signals in background noise. In so doing, we consider a non-fluctuating target embedded complex white Gaussian noise (CWGN), which amplitude echo and power are assumed to be unknown. Important works have analyzed performance for referred scenario proposed GLRT-based detectors. Such detectors pro...

Foot-mounted pedestrian navigation system (PNS) is a common solution to using micro-electro mechanical (MEMS) inertial sensors. The inherent problems of (INS) by the traditional algorithm, such as accumulated errors and lack observation heading altitude information, have become obstacles application development PNS. In this paper, we introduce heuristic constraint method. First all, according m...

This paper investigates the robustness of the generalized likelihood ratio test (GLRT) for a far-field Gaussian point source. Given measurements from an array of sensors, the performance of the GLRT under two types of common modeling errors is investigated. The first type is spatial mismodeling, which relates to errors due to multipath effects or errors in the assumed number of sources, i.e, de...

In this paper we present a unified comparison of the performance of four detection techniques for centralized data-fusion cooperative spectrum sensing in cognitive radio networks under impulsive noise, namely, the eigenvalue-based generalized likelihood ratio test (GLRT), the maximum-minimum eigenvalue detection (MMED), the maximum eigenvalue detection (MED), and the energy detection (ED). We c...

In this paper, the physical phenomenology of electromagnetic induction (EMI) sensors is reviewed for application to land mine detection and remediation. The response from time-domain EMI sensors is modeled as an exponential damping as a function of time, characterized by the initial magnitude and decay rate. Currently deployed EMI sensors that are used for the land mine detection process the re...

Some of the most widely-investigated control charting techniques for autocorrelated data are based on time series residuals. If the mean shift in the autocorrelated process is a sudden step shift, the resulting mean shift in the residuals is time varying and has been referred to as the fault signature. Traditional residual based charts, such as a Shewhart, CUSUM, or EWMA on the residuals, do no...