In this paper, an adaptive beamformer algorithm LMS is presented and showed to improve the Bayesian Maximum Entropy–Variational Analysis (BMEVA) performance for high resolution radar imaging and denoising. A formalism to fuse the BMEVA and its integration inside the LMS structure is also presented. Finally, the image enhancement and denoising produced by the proposed Adaptive BMEVA method is an...

A robust and data-dependent adaptive thresholding algorithm for nonhomogeneity detection in non-Gaussian interference is addressed. The algorithm is to be used as a preprocessing technique to select a set of homogeneous data from a bulk of nonhomogeneous compound-Gaussian secondary data employed for adaptive radar. An iterative version of the algorithm is also suggested in situations of multipl...

Modern Radars use phased array antenna for higher directive gains. These array antennas can be used to form a beam in the desired direction also known as beam steering, if there is any jammer present then it cannot be suppressed by just beamforming or beam steering, in such case we need to use Adaptive antenna. Adaptive antennas use the smart signal processing algorithms also known as adaptive ...

High frequency (HF) radars are capable to detect and track targets at extremely long ranges. But the signal environment that includes external noise, different kinds of clutter and interference will significantly limit the detection and system capability. This paper considers a new approach to solve the ship detection problem in a complex HF radar signal environment. It uses detection procedure...

We consider the problem of designing the trajectory of a radar mounted on a moving platform. We develop an adaptive algorithm that, at each time step, optimally selects the radar path in response to the estimated and predicted target parameters to improve the tracking accuracy. We derive our approach under a framework of sequential Bayesian filtering. We apply a sequential Monte Carlo method (p...

1.1 Introduction Space-time adaptive processing (STAP) techniques [Klemm (2002)],[Melvin (2004)] have been thoroughly investigated in the last decades as a key enabling technology for advanced airborne radar applications following the seminal work by Brennan and Reed [Brennan and Reed (1973)]. A great deal of attention has been given to STAP algorithms and different strategies to design space-t...

This paper presents a novel algorithm for space-time adaptive processing (STAP), by exploiting the characteristic of sparsity in the radar echo in Spatial-Doppler domain. Unlike traditional algorithm for STAP, our new method needs much less (even only one) training cells to eliminate the clutter energy in the test cell and reveal the target buried in strong clutter clearly. Owing to its excelle...

The estimation algorithm plays an important role in a radar tracking system. An improved estimation approach using both quantity data and target feature is investigated in this article. The advantage of this approach is that the system will have better estimation based on more target information. A data association denoted one-step conditional maximum likelihood algorithm is applied to match be...

Improved radio frequency interference suppression method based on short time Fourier transform applied to synthetic aperture radar is proposed in this paper. The radio frequency interference, including narrow-band interference and wide-band interference, are analyzed in time frequency domain. The interference is identified at instantaneous frequency spectrum by a novel threshold criterion in ti...