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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
13 May 1997
TL;DR: In this article, a space-based radar surveillance concept employing geosynchronous illumination and bistatic reception on either unmanned airborne vehicles (UAVs) or low-orbit satellites is described.
Abstract: This paper describes a space-based radar surveillance concept employing geosynchronous illumination and bistatic reception on either unmanned airborne vehicles (UAVs) or low-orbit satellites. Two classes of surveillance are considered: that of aircraft targets (generically designated as "airborne moving target indication" or AMTI) and that of slow-moving ground targets (generically designated as "ground moving target indication" or GMTI). While the bistatic concepts are hardly new, the emergence of high-speed processing to support large-scale beamforming for AMTI, and MTI-SAR for GMTI, have made these approaches feasible for space-based theater surveillance resulting in substantial cost and performance advantages over more conventional monostatic approaches when only limited regions (i.e. on or two theater-sized areas) need to be covered at any one time.

31 citations

Journal ArticleDOI
TL;DR: The experimental results demonstrate that, when target's Doppler frequency is beyond strong clutter region, the ANMF detector and block-ANMF detector perform better in the residual clutter than in the clutter.
Abstract: Attentions have been focused on the moving target detection in a high-resolution sea clutter. This study commences with a proposal of median-based estimator to estimate the power spectrum of high-resolution sea clutter by the time series observed in adjacent range cells and time intervals. The estimator provides a robust estimation when just a few aberrant time series happen in observation. Based on the estimator, a block-adaptive clutter suppression filter (BACSF) is designed to suppress the clutter prior to the pulse integration. Then, the residual clutter, the output of the BACSF, is modelled as spherically invariant random vector. Upon applying an adaptive normalised matched filter (ANMF) to the residual clutter, a residual clutter's ANMF detector is derived. Moreover, in high-resolution radar background, considering that the approximately stationary intervals of sea clutter and residual clutter are much shorter than the coherent processing interval, another heuristic block-ANMF detector is proposed. It can integrate more pulses and can achieve better performance than the ANMF detector does. This study concludes with the experiments of simulated target against the real sea clutter. The experimental results demonstrate that, when target's Doppler frequency is beyond strong clutter region, the ANMF detector and block-ANMF detector perform better in the residual clutter than in the clutter.

31 citations

Journal ArticleDOI
Baochang Liu1, Kuiying Yin, Yongkang Li1, Fengyang Shen1, Zheng Bao1 
TL;DR: Simulation results demonstrate that the proposed detector outperforms several existing detectors, particularly in the capacity to handle extremely heterogeneous environments, as well as a new test, called the Degree of Radial-Velocity Consistency (DRVC) test.
Abstract: This paper deals with target-detection issues in extremely heterogeneous environments, with a multichannel synthetic-aperture-radar-based ground moving-target indication (SAR-GMTI) system, and proposes a new detector with the aim of addressing such extremely heterogeneous environments The proposed detector is a multistage one: The first detection stage implements the conventional Displaced Phase Center Array test, but the second stage implements a new test, which is called the Degree of Radial-Velocity Consistency (DRVC) test We will show that the newly developed DRVC test possesses two pronounced characteristics The first characteristic is that the DRVC test incorporates such a priori knowledge that the radial velocities corresponding to the individual components of a moving target are all equal, while the second characteristic of the DRVC test is its clutter-heterogeneity-independent property The two characteristics make the proposed detector a good candidate for addressing extremely heterogeneous environments Simulation results demonstrate that the proposed detector outperforms several existing detectors, particularly in the capacity to handle extremely heterogeneous environments Moreover, the application of the proposed detector to a set of real-measured three-channel airborne SAR-GMTI data further demonstrates the efficacy of the proposed detector

30 citations

Proceedings ArticleDOI
23 May 2011
TL;DR: This work applies compressive sensing to moving target indication for urban sensing and through-the-wall imaging applications using stepped-frequency radar and considers sparsity-driven imaging combined with change detection.
Abstract: In this paper, we apply compressive sensing to moving target indication for urban sensing and through-the-wall imaging applications using stepped-frequency radar. In particular, we consider sparsity-driven imaging combined with change detection. Stationary targets and clutter are removed via change detection, resulting in a sparse scene of few slow-moving targets inside enclosed structures and behind walls. Using compressive sensing, a sizable reduction in the number of samples is achieved without degradation in system performance. Laboratory experiments are conducted to validate the proposed approach.

30 citations

Journal ArticleDOI
TL;DR: This issue of "Best of the Web" presents online radar reflectivity databases, which are free of charge to the international research community, for the characterization of interference in radar systems and the development of signal processing techniques that reduce the detrimental effects of this unwanted interference.
Abstract: In this issue, "Best of the Web" presents online radar reflectivity databases, which are free of charge to the international research community. Databases such as these are used for the characterization of interference (including noise, sea clutter and land clutter, among others) in radar systems, and the development of signal processing techniques that reduce the detrimental effects of this unwanted interference. The data can also be used for the development and evaluation of signal processing techniques aimed at detecting and tracking man-made objects by separating targets from interference based on Doppler and amplitude characteristics. These signal processing techniques include moving target indication (MTI), pulse-Doppler, space-time adaptive processing, track-before-detect (TkBD), and constant false alarm rate (CFAR) processing.

30 citations


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