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Proceedings ArticleDOI

A signal processing architecture for space-based GMTI radar

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TLDR
By addressing issues such as aperture configuration, bandwidth-induced decorrelation, adaptive training, and degree-of-freedom requirements, a multistage space-time adaptive processing (STAP) architecture is constructed.
Abstract
Ground moving target indicator (GMTI) radars detect and classify targets with low velocities. Placing such radars in the Earth's orbit can provide wide area coverage with high revisit rates. However, because of the radar's large footprint (on the ground) and high velocity, target signals must compete with extremely intense nearby clutter. Requirements on antenna aperture, bandwidth, coverage rate, and computational complexity all play significant roles in shaping the radar's signal processing chain. This paper describes a signal processing architecture that rejects interference. By addressing issues such as aperture configuration, bandwidth-induced decorrelation, adaptive training, and degree-of-freedom requirements, a multistage space-time adaptive processing (STAP) architecture is constructed.

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Citations
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Journal ArticleDOI

A STAP overview

TL;DR: An overview of the space-time signal diversity and various forms of the adaptive processor, including reduced-dimension and reduced-rank STAP approaches for radar applications is discussed.
Book

Space-Time Adaptive Processing for Radar

TL;DR: 1D optimum and adaptive radar processing space-time adaptive processing important factors affecting STAP performance reduced-rank and minimized sample support STAP other topics appendix.
Journal ArticleDOI

Adaptive Radar Detection Using Two Sets of Training Data

TL;DR: This paper deals with adaptive radar detection of a point-like target in a homogeneous environment characterized by the presence of clutter, jamming, and radar internal noise and builds two adaptive decision rules based on the two-step generalized likelihood ratio test and Rao test criteria.
Proceedings ArticleDOI

The Earth rotation effect on a LEO L-band GMTI SBR and mitigation strategies

TL;DR: The USA Air Force's Research Laboratory Space Time Adaptive Processing Tool (RLSTAP) high fidelity radar modeling tool is used to provide simulated data in order to demonstrate the Earth rotation effects, and resulting clutter rejection impact on slow moving target detection.
Patent

Pri-staggered post-doppler adaptive monopulse processing for detection and location of a moving target in ground clutter

TL;DR: In this paper, a method, apparatus, and processing system for radar detection and tracking of a target using monopulse ratio processing comprising the following steps is presented: first, receiving a signal comprised of a plurality of sum and difference beams and then staggering the received signal, filtering and localizing a clutter signal which is a portion of the received sum and azimuth beams.
References
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Journal ArticleDOI

Rapid Convergence Rate in Adaptive Arrays

TL;DR: A direct method of adaptive weight computation, based on a sample covariance matrix of the noise field, has been found to provide very rapid convergence in all cases, i.e., independent of the eigenvalue distribution.
Journal ArticleDOI

Adaptive arrays in airborne MTI radar

TL;DR: The technique described here can adapt the element weights to compensate for near-field scatterers and element excitation errors and another important advantage is the ability to null out discrete active interference sources without significantly degrading AMTI performance.
Journal ArticleDOI

Improved adaptive clutter cancellation through data-adaptive training

TL;DR: This work presents data-adaptive methodologies for selecting the training data of adaptive array algorithms based on sample matrix inversion and describes these algorithms and their performance on recorded radar data.
Proceedings ArticleDOI

Mitigating effects on STAP processing caused by an inclined array

TL;DR: A new technique, termed Doppler Warping is shown to completely mitigate the effects of the array inclination on the STAP algorithm by shifting the doppler filters to track the Dopplers frequency variation of clutter over range.
Proceedings ArticleDOI

Improving the performance of adaptive arrays in nonstationary environments through data-adaptive training

TL;DR: The techniques, called power selected training and power selected de-emphasis, use measurements of the interference environment to select training data, as well as optimality, complexity, and performance on recorded radar data.
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