Weak Target Detection in the Presence of Sea Clutter Using Radon-Fractional Fourier Transform Canceller

Small Target Detection in Heavy Sea Clutter

This paper mainly deals with the detection problem of the target with low Radar Cross-Section (RCS) in heavy sea clutter with unknown Power Spectral Density (PSD). Since the performance of traditional single-scan detectors degrades as the target of interest is smaller and weaker, three adaptive detectors, based upon a two-step design procedure, are proposed within the framework of the multiples...

Chapter 5 Target Detection in Active Sonar using Fractional Fourier Transform

Beamforming using the fractional Fourier transform

We present a new method of beamforming using the fractional Fourier transform (FrFT). This method encompasses the conventional minimum mean-squared error (MSE) beamforming in the frequency domain or spatial domain as special cases. It is especially useful for applications involving chirp signals such as signal enhancement problems with accelerating sinusoidal sources where the Doppler effect ge...

Line Detection Using Radon Transform

To extract features from digital images, it is useful to be able to find simple shapes (straight lines, circles, ellipses, etc.). In order to achieve this goal, one can be able to detect a group of pixels that are on a straight line or a smooth curve. That is what a Hough transform is supposed to do. Since the Hough transform is a special case of Radon transform then line detection process is a...

Radar Maneuvering Target Detection Based on Scaling Processing and Radon-fourier Transform

A novel long-time coherent integration method, i.e., scaling processing and Radon-Fourier transform (SPRFT), is proposed to detect the low-observable manuevering target, which can compensate the range and Doppler migrations simultaneously. The target signal can be well accumulated as an obvious peak in the centroid frequency-chirp rate (CFCR) domain by simple FT calculations. It is shown that p...