Being equipped with a millimeter-wave radar allows a low-flying helicopter to sense the surroundings in real time, which significantly increases its safety. However, nonhomogeneous clutter environments, such as a multiple target situation and a clutter edge environment, can dramatically affect the radar signal detection performance. In order to improve the radar signal detection performance in ...

This paper concerns PN signal detection in multipath interference by using a passive correlation receiver with an OS CFAR processor. Noise level estimation is performed in both windows, using the ordered statistics (OS) approach. The minimum of the average decision threshold is used as an OS estimation criterion of effectiveness [1] The CFAR processor parameters are obtained by Monte Carlo simu...

The signal returns from radar targets are usually buried in thermal noise and clutter. Target detection is commonly performed by comparing radar returns to an adaptive threshold such that a constant false alarm rate (CFAR) is maintained. The threshold in a CFAR detector is set on a cell by cell basis according to the estimated noise/clutter power, which is determined by processing a group of re...

A hardware architecture that implements an adaptive filter based on energy analysis of radar echoes to improve the detection of the Constant False Alarm Rate (CFAR) algorithm is presented. Signal processing based on energy analysis emphasizes the edge of the echoes improving the performance of the detection process. The energy filter coefficients and CFAR parameters are calculated adaptively by...

The wavelet transform gives a compact multiscale representation of a digital image and provides a hierarchical structure which is well suited for post-processing. With its good localization property in both the spatial domain and the frequency domain, wavelet-based image compression has gained a huge success in the past several years. In this paper we present a wavelet-based image codec special...

Target detection is the front-end stage in any automatic target recognition system for synthetic aperture radar (SAR) imagery (SAR-ATR). The efficacy of the detector directly impacts the succeeding stages in the SAR-ATR processing chain. There are numerous methods reported in the literature for implementing the detector. We offer an umbrella under which the various research activities in the fi...

We propose an unsupervised method for iceberg detection over sea ice-free waters. The algorithm is based on the segmentation and nonparametric constant false alarm rate (SnP-CFAR) approach. Unlike in parametric CFAR detection, our method, there no need to define target, guard, background areas explicitly. Instead, we apply pixels within each detected segment formed of nearby not included target...

In this paper, we propose a new solution for the detection problem of coherent target in heterogeneous environments. Specifically, first assume that clutter returns from different range bins share same covariance structure but power levels. This model meets experimental evidence related to non-Gaussian and non-homogeneous scenarios. Then, unlike existing solutions are based upon estimate plug m...

This paper proposes a target-detection scheme based on prior segmentation of the image. Introducing the prior knowledge of image structure provided by the previous segmentation eliminates many false target detections from background structure. The performance of the new scheme is shown to be identical to an ideal one-parameter CFAR for constant background. With real clutter backgrounds the back...

In order to improve the interference immunity of the detector, a new CFAR detector (ACGCACFAR) based on automatic censoring cell averaging (ACCA) and cell averaging (CA) is presented in this paper. It takes the greatest value of ACCA and CA local estimation as the noise power estimation. Under swerling II assumption, the analytic expressions of fa P in homogeneous background are derived. In con...