Add to ORKGSurveillance radars used at sea need to suppress the signal received back from the sea surface, in order to improve the probability of detecting target signals. This paper invest-igates whether nonlinear predictor networks can be used to improve the suppression of sea clutter, and thus to improve the performance of maritime surveillance radar detectors. 1
In order to detect targets upon sea surface or near it, marine radars should be capable of distingui...
A neural network technique has been applied to the marine radar small target detection problem. It ...
The long-time coherent integration can effectively improve the detection ability of radar targets. H...
It is often assumed that interference or noise signals are Gaussian stochastic processes. Gaussian n...
Sea clutter is one of the main limiting factors influencing the target detection performance of naut...
This paper deals with the problem of coherent radar detection of targets embedded in clutter modeled...
A nonlinear transformation is introduced, which can be used to compress a series of random variables...
Maritime radar systems need to be capable of advanced multichannel signal processing in order to det...
The main problem faced by sea radars is the elimination of an undesirable signal that appears mixed ...
Adaptive radar detection in non-Gaussian clutter is the subject of this work. The performance of t...
A key issue in detection of small targets on the ocean surface using active radar is low signal-to-c...
In this paper, we propose a method to exploit waveform agility in modern radars to improve performan...
This paper aims to evaluate the performance of target detection in the presence of sea clutter. Rada...
The maritime surveillance performance of the adaptive normalised matched filter (ANMF) detector stru...
Sea clutter in marine surveillance radar makes the task of detecting small targets a very challengin...
In order to detect targets upon sea surface or near it, marine radars should be capable of distingui...
A neural network technique has been applied to the marine radar small target detection problem. It ...
The long-time coherent integration can effectively improve the detection ability of radar targets. H...
It is often assumed that interference or noise signals are Gaussian stochastic processes. Gaussian n...
Sea clutter is one of the main limiting factors influencing the target detection performance of naut...
This paper deals with the problem of coherent radar detection of targets embedded in clutter modeled...
A nonlinear transformation is introduced, which can be used to compress a series of random variables...
Maritime radar systems need to be capable of advanced multichannel signal processing in order to det...
The main problem faced by sea radars is the elimination of an undesirable signal that appears mixed ...
Adaptive radar detection in non-Gaussian clutter is the subject of this work. The performance of t...
A key issue in detection of small targets on the ocean surface using active radar is low signal-to-c...
In this paper, we propose a method to exploit waveform agility in modern radars to improve performan...
This paper aims to evaluate the performance of target detection in the presence of sea clutter. Rada...
The maritime surveillance performance of the adaptive normalised matched filter (ANMF) detector stru...
Sea clutter in marine surveillance radar makes the task of detecting small targets a very challengin...
In order to detect targets upon sea surface or near it, marine radars should be capable of distingui...
A neural network technique has been applied to the marine radar small target detection problem. It ...
The long-time coherent integration can effectively improve the detection ability of radar targets. H...