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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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Patent
Gerrard M. Carlson1
28 Sep 1989
TL;DR: An active phase quieting target highlight detector using phase and magnitude detection can discriminate sets of spatially-ordered highlights due to a target, from clutter or multipath echoes, along with nonsmoothed magnitude or envelope detection, and can better discriminate target structure due to reception of echoes from shorter active pulses as mentioned in this paper.
Abstract: An active phase quieting target highlight detector using phase and magnitude detection can discriminate sets of spatially-ordered highlights due to a target, from clutter or multipath echoes, along with nonsmoothed magnitude or envelope detection, and can better discriminate target structure due to reception of echoes from shorter active pulses. False target detection and multipath detection are reduced while detection of target structure is retained by a time domain detection scheme.

9 citations

Proceedings ArticleDOI
24 Jul 2011
TL;DR: A new scheme is presented for the velocity estimation of moving targets in synthetic aperture radar (SAR) imaging, where the moving target is imaged using a range-Doppler algorithm, where clutter lock, range correction and focus filtering are automatically done.
Abstract: A new scheme is presented for the velocity estimation of moving targets in synthetic aperture radar (SAR) imaging First, the moving target is imaged using a range-Doppler algorithm, where clutter lock, range correction and focus filtering are automatically done Then, the parameters obtained in this algorithm are used to estimate the velocity of the moving target The Doppler centroid is used to estimate the velocity of the moving target in range The out-of-focus coefficient is used to estimate the velocity of the moving target in azimuth Especially, the ambiguity of the Doppler centroid is resolved according to the range-correction coefficient and the out-of-focus coefficient This scheme is accurate and computationally efficient

9 citations

Journal ArticleDOI
N.J. Mohamed1
TL;DR: A target recognition method that utilizes both target length determined fromtarget signature duration for target classification and target shape determined from target signature amplitude variation for target identification is presented.
Abstract: A target recognition method that utilizes both target length determined from target signature duration for target classification and target shape determined from target signature amplitude variation for target identification is presented. The transformation of the target axes coordinate system into a rotated coordinate system enables target recognition at any aspect angle. The information obtained about target shape and size, in addition to the velocity information supplied by the Doppler effect, can be used to generalize Woodward's ambiguity function to a range-velocity-shape resolution function. Thumbtack range-velocity-shape resolution functions are easily obtained by increasing the number of pulses in the transmitted radar signal. >

9 citations

Proceedings ArticleDOI
09 Dec 2003
TL;DR: Simulations are be used to verify the performance of the ITS-MAP algorithm and to compare its performance with that of other target tracking algorithms in a dense and non-homogeneous clutter environment.
Abstract: This paper presents a new single-target tracking filter. Similar in structure to track-oriented MHT, the Integrated track splitting (ITS) filter is a multi-scan tracking algorithm that, like IPDA, integrates target state estimation with the estimation of target existence. The ITS filter models each track as a set of components, where each component is defined with a unique measurement history which consists of zero or one measurement received each scan. For each component the state estimate and the a-posteriori probability of component existence are computed recursively. After each scan, a new component is formed from each pair of "existing component, associated measurement". The probability of the new component existence is the probability that the parent component exists and that the measurement used to create the new component is the target measurement. The probability of target existence, mean and covariance of the state estimate for the track are then calculated and used for track maintenance and track output. ITS-MAP filter uses a-priori clutter density information provided by a clutter map, analytically or by some other means to better discriminate clutter from target measurements. Simulations are be used to verify the performance of the ITS-MAP algorithm and to compare its performance with that of other target tracking algorithms in a dense and non-homogeneous clutter environment.

9 citations

Proceedings ArticleDOI
11 May 1998
TL;DR: In this article, the Neyman-Pearson discrete-time detector for phase/amplitude coded radar signals in the presence of spatially-white distributed Rayleigh clutter is derived and a measure of the optimum detector's performance gain over that of a standard correlator is derived.
Abstract: This paper derives the Neyman-Pearson discrete-time detector for phase/amplitude coded radar signals in the presence of spatially-white distributed Rayleigh clutter. We consider processing of data records which are long relative to the pulse duration. A measure of the optimum detector's performance gain over that of a standard correlator is derived and calculated for several waveforms of practical interest. It is also shown that for the clutter-limited case that the detection performance in spatially-distributed Rayleigh clutter is virtually independent of waveform coding. This last result allows one to use this detector with a non-coded pulse radar and achieve similar detection performance to that of a pulse coded radar when all other parameters are held constant provided as the clutter dominates the noise.

9 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202327
202272
202131
202052
201966
201859