GMTI STAP performance under space‐time impaired clutter environment
نویسندگان
چکیده
منابع مشابه
Robust radar detection of GMTI targets with STAP
Abstract: Space-Time Adaptive Processing (STAP) is used in Ground Moving Target Indication (GMTI) to improve the detection of slow or small targets and targets in the presence of jamming. It is used in a number of airborne radar surveillance systems. In order for STAP to be robustly used as part of a practical military sensor it must deliver robust detection performance in all scenarios. In thi...
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In this paper, we describe a space-time adaptive processing (STAP) approach for bistatic space-based radar (SBR) ground moving target indication (GMTI) systems. A candidate bistatic SBR GMTI system employing a transmitter at medium earth orbit (MEO) and an airborne receiver is defined. To provide enhanced estimation of the clutter statistics, we apply a knowledge-aided STAP approach based on an...
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The multichannel synthetic aperture radar ground moving target indication (SAR/GMTI) technique is a simplified implementation of space-time adaptive processing (STAP), which has been proved to be feasible in the past decades. However, its detection performance will be degraded in heterogeneous environments due to the rapidly varying clutter characteristics. Knowledge-aided (KA) STAP provides an...
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We address the problem of slow target detection in heterogeneous clutter through dimensionality reduction. Traditional approaches of implementing the space-time adaptive processing (STAP) require a large number of training data to estimate the clutter covariance matrix. In order to address the issue of limited training data especially in the heterogeneous scenarios, we propose a novel thinned S...
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Space-time adaptive processing (STAP) is an effective tool for detecting a moving target in spaceborne or airborne radar systems. Statistical-based STAP methods generally need sufficient statistically independent and identically distributed (IID) training data to estimate the clutter characteristics. However, most actual clutter scenarios appear only locally stationary and lack sufficient IID t...
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ژورنال
عنوان ژورنال: IET Radar, Sonar & Navigation
سال: 2019
ISSN: 1751-8792,1751-8792
DOI: 10.1049/iet-rsn.2019.0083