An adaptive target detector in radar system is used to extract targets from background in noisy environment of unknown statistics. The constant false alarm rate (CFAR) is well known detection algorithm that is being used in almost every modern radar. The cell averaging CFAR is the optimum detector in homogeneous clutter environment when the refence cells have identically independent and exponen...

In the context of radar detection, the clutter covariance matrix estimation is an important point to design optimal detectors. While the Gaussian clutter case has been extensively studied, the new advances in radar technology show that non-Gaussian clutter models have to be considered. Among these models, the spherically invariant random vector modelling is particularly interesting since it inc...

Stationary clutter arises in a wide area of different radar or sonar applications. Without adaption to a non-uniform clutter distribution, tracking algorithms try to initialize tracks in these areas repeatedly while in most cases there is no target to be found. The intention of this paper is to discuss different ways to enable clutter mapping in order to use this as an efficient tool for target...

The clutter is always present in the radar signal, so it is important to generate models that give us the possibility to minimize its effect in the detection of targets in a radar space. In that way, it is focused this paper, where, we try to propose a model that generates discrete time coherent sequences with a Weibull distribution for its modulus and a Uniform distribution for its phase. The ...

Removal of clutter in the radar wind profiler is the utmost important consideration in radar. Wavelet transform is very effective method to remove the clutter. This paper presents a technique based on the wavelet transform to remove the clutter. In this technique we used Fourier transform and descrete wavelet transform after that applied inverse discrete wavelet transform for signal. These tech...

Polarization diversity in radar is useful to detect targets, particularly when Doppler discrimination is not possible. We introduce a new polarimetric radar model that includes the realistic dependence of the clutter reflections on the transmitted signal. We then develop a statistical polarimetric detection test, robust to heavy inhomogeneous clutter. We prove that the detector’s false-alarm ra...

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...

Multiple-input multiple-output (MIMO) radar has become a thriving subject of research during the past decades. In the MIMO radar context, it is sometimes more accurate to model the radar clutter as a nonGaussian process, more specifically, by using the spherically invariant random process (SIRP) model. In this paper, we focus on the estimation and performance analysis of the angular spacing bet...

This paper is concerned with the assessment of models of Doppler spectra, derived from high range resolution X-band radar sea clutter observed from an airborne platform over the range of grazing angles, 15 to 45. When looking up or downwind these models represent the strong correlation between mean Doppler shift and local spectrum intensity. When combined with random fluctuations of spectrum ...

a r t i c l e i n f o a b s t r a c t We propose a GARCH model to represent the clutter in radar applications. We fit this model to real sea clutter data and we show that it represents adequately the statistics of the data. Then, we develop a detection test based on this model. Using synthetic and real radar data, we evaluate its performance and we show that the proposed detector offers higher ...