One of the most challenging problems in automatic target recognition is reliable detection of targets in high clutter backgrounds. When the clutter statistics are unknown or highly variable, the false alarm rate of classical detection algorithms , e.g. the matched lter, cannot be controlled and target detections become unreliable. The reason for this is lack of robustness of the test statistics...

In this report we describe our analysis of the influence of sea clutter non stationarity on the clutter covariance matrix estimation and its impact on the CFAR property of the normalized adaptive matched filter (NAMF). Three estimators have been considered in the analysis, i.e. the sample covariance matrix (SCM), the normalized sample covariance matrix (NSCM), and the fixed point (PF) estimator...

An innovative approach for the suppression of ground clutter (GC) contributions from weather radar data is presented. Most of the existing adaptive spectral GC filters (GCF) need a prior knowledge of clutter position, strength and its spectral characteristics. This knowledge is irrelevant for the presented approach because the identification and suppression are entirely data driven. The new app...

This paper addresses the detection problem for a signal with constant, but unknown amplitude in disturbance containing compound-Gaussian clutter plus additive white noise. Specifically, a new generalized likelihood ratio test (GLRT) is presented for the clairvoyant case. Previously developed GLRT expressions addressing the compound-Gaussian clutter problem have considered the ‘clutter only’ cas...

To develop forward-scatter radar (FSR) systems for use in maritime applications, a fundamental understanding of the operating environment is required. Currently, there is a lack of published experimental FSR sea clutter data at very low (near-zero) grazing angle over the sea. This data is necessary for the development of FSR systems for maritime applications. Therefore to facilitate further inv...

In this report we describe our analysis of the influence of sea clutter non stationarity on the clutter covariance matrix estimation and its impact on the CFAR property of the normalized adaptive matched filter (NAMF). Three estimators have been considered in the analysis, i.e. the sample covariance matrix (SCM), the normalized sample covariance matrix (NSCM), and the fixed point (PF) estimator...

SPRI consists of a suite of image processing programs for producing realistic millimeter-wave (MMW) radar images artificially on a workstation. The heart of the simulation approach is a polarimetric Rayleigh clutter simulator coupled to a clutter database. The simulator produces high resolution single-look polarimetric images. Hard targets can then be embedded into this clutter map, and the res...

This paper presents statistical modelling of sea clutter in airborne S-band fully polarimetric synthetic aperture radar (SAR) data. The modelling was performed by using squared radius and trace statistic for singlelook and multilook fully polarimetric SAR data, respectively. Both homogeneous and texture models were investigated and evaluated quantitatively. From the obtained results, it was fou...

We have developed a maximum likelihood formulation for a joint detection, tracking and association problem. An efficient non‐combinatorial algorithm for this problem is developed in case of strong clutter for radar data. By using an iterative procedure of the dynamic logic process “from vague‐to‐crisp” explained in the paper, the new tracker overcomes the combinat...

To realize the ship detection with short coherent integration time (CIT) is an operational requirement for skywave over-the-horizon radar (OTHR). However, short CIT and the resulting low Doppler resolution cannot separate the ship from the close powerful ocean clutter. To resolve this problem, Fourier transform based clutter cancellation is proposed as well as some super-resolution spectral est...