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In this study, for multi-target tracking in an heavy-clutter environment, line detection-based validation algorithms are proposed for improving track initiation performance by reducing false tracks. Track validation algorithm is applied to the results of the base track initiation algorithm periodically and deviation from line evaluated based on a defined measure. Then, by thresholding the deviation...
Track initiation algorithm based on Hough transform is an effective method on condition of strong clutter environment. But due to the influence of measurement error and the selection of parameter space threshold, the problems of clutter points mix in target tracks and multiple tracks initialized by only one target are existed. In order to solve these problems, this paper proposes a track initiation...
This study proposes a multi-dimensional Hough transform algorithm that is improved from [1] by detecting weak targets in the high clutter. In the proposed algorithm execution time is reduced by eliminating the measurements considering speed and SNR values before the Hough transform. The skor-based track confirmation algorithm proposed in [1] is improved and tracks that belong to same target are eliminated...
This paper proposes a new algorithm for imaging moving targets via estimating their motion parameters with dual channel synthetic aperture radar. Displaced phase center array (DPCA) antennas are used for clutter cancelation through which moving targets are detected. The range motion of a moving target induces a Doppler centroid shift and additional range walk, while the along-track motion changes...
In a HRR RADAR where the size of target is larger than wavelength of the RADAR and RADAR range resolution cells, and target returns from different scattering centres of the target produce different patterns in successive scans, make application of traditional methods of clutter suppression inefficient. In this paper, we propose another approach for noncoherent integration of HRR pulses based on the...
As we know, in the HRR RADARs we face range walking phenomenon, in fact, when a target moves during a CPI (Coherent Processing Interval), target returns from different scattering centers of the target produce different patterns in successive scans, this causes range walking. Therefore make the Performance of Conventional methods to maximize signal to noise ratio inefficient. Our solution for this...
Hough transform which has low sensitivity to local fault and good ability in suppressing noisy and clutters, applies to track initiation in a cluttered environment. However, huge amount of computation and memory in Hough transform restricts its application in track initiation. A new Hough transform algorithm used in track initiation was put forward. Instead of according to points in standard Hough...
In this paper, we describe and compare methods for detecting parallelograms in images using Hough and Radon transforms. Locating parallelograms in an image involves combined transform and spatial domain analysis. During transform domain analysis, we apply Hough/Radon transform on the edge detected image of the target, extract peaks (a peak in the transform space corresponds to a dominant edge in the...
To solve the problem of initiating tracks for multi-target in dense clutters environment, a Mean shift track initiation algorithm based on Hough transform is proposed. In the algorithm, firstly, hough transform is applied to transform observation points from input space, referred to as feature space into curves in a special parameter space; then a Mean shift clustering algorithm is executed to cluster...
We propose a novel approach to solve the bearing data association problem in the presence of clutter. The key idea is to interpret the azimuth measurements as being generated by an antenna array. In contrast to the traditional Hough transform approach, this direct estimator requires, in principle, no additional parameters like bearing variances. Furthermore, we present an improvement of both approaches...
Inherent properties of UWB signals prevent both coherent and noncoherent processing with conventional methods used in narrow-band RADARs. In this paper, we show how to exploit the Hough transform, first developed to detect lines in an image distorted by noise, to detect moving objects from successive scans that are corrupted by noise and clutter. We discuss why conventional methods fail to process...
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