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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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Proceedings ArticleDOI
19 Sep 2000
TL;DR: The results indicate that among its various attributes, a distributed aperture, spaceborne MTI system provides excellent detection performance potential; sparse aperture signal processing, coupled with space-time adaptive processing, represents a critical, enabling component.
Abstract: This paper investigates the performance of a spaceborne, distributed aperture system operating in a moving target indication (MTI) mode. A cluster of microsatellites, orbiting in proximity, house the antenna subapertures of the distributed array; the subapertures electronically share the transmit function and receive data. We discuss the modeling and simulation of the distributed aperture MTI sensor operation, examine system performance for several scenarios of interest, and discuss specialized signal processing techniques. Our results indicate that among its various attributes, a distributed aperture, spaceborne MTI system provides excellent detection performance potential; sparse aperture signal processing, coupled with space-time adaptive processing, represents a critical, enabling component. Using a spiral spoke cluster and optimal space-time processing, the average SINR loss with respect to the noise-limited case averages about -2 dB for a radial velocity greater than 3 m/s for the analyzed orientation of the cluster.

10 citations

Journal ArticleDOI
TL;DR: This paper numerically detail the performance of the STAP algorithms applied to high-frequency surface wave radars for marine target detection and shows that the improvements of signal noise clutter ratio are counterbalanced by a raise of the conditioning number, except in the case of eigencanceler approach.
Abstract: In this paper, we analyze the levels of performance of the (full or reduced versions of) space-time adaptive processing (STAP) algorithms applied to high-frequency surface wave radars (HFSWRs) for marine target detection to verify whether this family outperforms the usual moving target indication (MTI) algorithms. In fact, STAP algorithms have well-known drawbacks (e.g., large amount of secondary data). The propagation and backscattering of radar signals are included in the covariance matrix calculation. Since the propagation and backscattering have to be derived from physical features of the sea (e.g., sea Doppler) and the atmosphere, we also include the difference induced by the waveform (pulsed radar/chirp) in our study. Moreover, since the inverse covariance matrix is used in the target detection algorithms, matrix conditioning is also inspected for practical implementation reasons. We numerically detail the performance (signal noise clutter ratio and conditioning number of the STAP algorithms) with regards to the MTI performance for several configurations of radar and sea state. These results show that the improvements of signal noise clutter ratio are counterbalanced by a raise of the conditioning number, except in the case of eigencanceler approach. The sea-state parameters have few effects on the performance unlike to radar parameters.

10 citations

Proceedings ArticleDOI
10 Jul 2006
TL;DR: A scheme where the feedback from the target tracking system corrects the detection thresholds for each sensor resolution cell to obtain the constant and optimal clutter measurement density in each cell, when the clutter statistics changes slowly results in better false track discrimination capabilities of the tracker.
Abstract: False track discrimination performance of a target tracking algorithm in a heavy clutter environment depends on the track confirmation and the track termination thresholds. The optimum value of these thresholds depends on the environment, in particular on the given probability of detection and on the existing clutter density. When tracking ground targets the probability of target detection is nominally constant, whereas the clutter measurement density varies significantly. Previously it was shown that, for a wide range of target signal to noise (+clutter) ratio in a uniform clutter density environment, and given the opportunity to set signal detection thresholds, the optimum value of clutter measurement density is almost constant (and the probability of detection will vary). We propose a scheme where the feedback from the target tracking system corrects the detection thresholds for each sensor resolution cell to obtain the constant and optimal clutter measurement density in each cell, when the clutter statistics changes slowly. This results in better false track discrimination capabilities of the tracker and also replaces the CFAR block in the signal processing unit

10 citations

Proceedings ArticleDOI
07 Aug 2002
TL;DR: The Fourier transform is replaced by the adaptive chirplet transform in the Doppler processing in OTHR when a target moves non-uniformly.
Abstract: In over-the-horizon radar (OTHR) moving target detection, the signal to clutter ratio (SCR) is low. One method to detect a moving target is to first reject the clutter and improve the SCR before the detection, such as the adaptive Fourier transform developed by Root (see SPIE Conference, San Diego, p.19-24, July 1998) when a target moves uniformly. When a target does not move uniformly, the Fourier based techniques for the target detection including super resolution techniques may not work well. We replace the Fourier transform by the adaptive chirplet transform in the Doppler processing in OTHR when a target moves non-uniformly.

10 citations

Proceedings ArticleDOI
07 May 2012
TL;DR: Inclusion of multipath ghost target images, alongside directtarget images, is shown to improve performance in radar target classification, with gains of up to 17% in classification performance.
Abstract: Inclusion of multipath ghost target images, alongside direct target images, is shown to improve performance in radar target classification. When ultra wideband waveforms are employed there is sufficient range resolution that the components of the received signal relating to indirect paths appear as unique peaks. The additional returns result in a point spread function with peaks at locations other than that of the target — the ghosts. A method for localizing the ghosts is provided, and is then used to include the ghosts in target classification testing. A gain of up to 17% in classification performance is shown when the ghost targets are included. This study makes use of real radar data.

10 citations


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