Topic
Moving target indication
About: Moving target indication is a research topic. Over the lifetime, 2653 publications have been published within this topic receiving 32435 citations.
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TL;DR: A simple and flexible way of generating non-stationary coherent sea clutter that matches higher order statistics of real clutter in the time domain, as well as the shape and intensity distribution within the Doppler domain is offered.
Abstract: This study provides a brief overview of methods used to simulate sea clutter. It then offers a simple and flexible way of generating non-stationary coherent sea clutter that matches higher order statistics of real clutter in the time domain, as well as the shape and intensity distribution within the Doppler domain. Results confirm that the simulated signal intensity can also be well matched by the K-distribution.
36 citations
TL;DR: Ground moving-target indication (GMTI) has been extensively used in the measuring of ocean surface currents and ground traffic and the influence of rebound jamming on synthetic aperture radar (SAR) GMTI is studied in this letter.
Abstract: Ground moving-target indication (GMTI) has been extensively used in the measuring of ocean surface currents and ground traffic. The influence of rebound jamming on synthetic aperture radar (SAR) GMTI is studied in this letter. The rebound jamming signal is either deceptive or barrage jamming according to the time delay. When the time delay between each pulse is constant, the jamming focused on a morphed image of the imaging area. After displaced phase-center antenna (DPCA) processing, the image with azimuth near the jammer's azimuth will be canceled similar to stationary targets, and the other part of the DPCA image remains. When the time delay is random between each pulse, the rebound jamming is barrage jamming for both the SAR image and the DPCA image. The validity of the proposed method is verified by theoretic analysis and simulation results.
36 citations
04 Jun 2007
TL;DR: This paper furthers the development of the application of evolutionary computation, specifically genetic algorithms (GAs) to the design of simultaneously transmitted orthogonal waveforms to determine a suite of "optimal" waveforms for a single platform radar system performing multiple radar missions simultaneously.
Abstract: This paper furthers the development of the application of evolutionary computation, specifically genetic algorithms (GAs) to the design of simultaneously transmitted orthogonal waveforms. The goal of the application is to determine a suite of "optimal" waveforms (in the Pareto sense) for a single platform radar system performing multiple radar missions simultaneously. The waveform suite is determined by applying the strength Pareto evolutionary algorithm 2 (SPEA2) developed by Zitzler, Laumanns & Theile (2002) to find waveform parameters that successfully realize a set of objectives particular to a variety of radar missions. The objectives to optimize are dictated by the particular missions of interest. The mapping of these objective functions to actual radar performance parameters is used in the SPEA2 algorithm to determine how best to simultaneously perform multiple radar missions such as GMTI, AMTI, SAR etc. using a single radar system in a Pareto optimal sense. Preliminary results are presented for a scaled down multi-mission multi-objective function scenario.
36 citations
21 Mar 1998
TL;DR: In this paper, the authors present the development of a tracker based on the Interacting Multiple Model (IMM) estimation algorithm for tracking groups of ground targets using Moving Target Indicator (MTI) reports obtained from an airborne sensor.
Abstract: This paper presents the development of a tracker based on the Interacting Multiple Model (IMM) estimation algorithm for tracking groups of ground targets using Moving Target Indicator (MTI) reports obtained from an airborne sensor. The targets are moving along a constrained path, for example, a highway, with varying obscuration due to changing terrain conditions. In addition, the roads on which the targets travel can branch, merge, or cross. This constrained motion estimation problem is handled using an IMM estimator with varying mode sets depending on the topography. The design and implementation of the topography based Variable Structure IMM (VS-IMM) estimator is described. Simulation results are also presented.
36 citations
TL;DR: The proposed technique, the so-called fractional Fourier transform (FrFT), is applied to SAR along-track interferometry (SAR-ATI), and results show that the method is effective in estimating target velocity and position parameters.
Abstract: A relatively unknown yet powerful technique, the so-called fractional Fourier transform (FrFT), is applied to SAR along-track interferometry (SAR-ATI) in order to estimate moving target parameters. By mapping a target's signal onto a fractional Fourier axis, the FrFT permits a constant-velocity target to be focused in the fractional Fourier domain thereby affording orders of magnitude improvement in SCR. Moving target velocity and position parameters are derived and expressed in terms of an optimum fractional angle a and a measured fractional Fourier position up, allowing a target to be accurately repositioned and its velocity components computed without actually forming an SAR image. The new estimation algorithm is compared with the matched filter bank approach, showing some of the advantages of the FrFT method. The proposed technique is applied to the data acquired by the two-aperture CV580 airborne radar system configured in its along-track mode. Results show that the method is effective in estimating target velocity and position parameters.
36 citations