1,721,364 research outputs found
Knowledge based systems for adaptive radar: Guest Editorial
No full textSurveillance for a variety of
applications in dynamically
changing civilian and military
environments raises a
great demand for innovative
sensors and sensors configurations
based on cutting edge technologies,
such as knowledge-based (KB) signal
and data processing, waveform diversity,
wireless networking, robotics,
advanced computer architecture, and
supporting software languages [1].
Improved sensor signal and data processing
will be gained from KB and a
priori information, multiple processing
paradigms, and sensor fusion. KB systems
(KBSs) use prior knowledge to
improve the performance of deterministic
and adaptive systems. While the
exact form of this prior knowledge is
problem dependent, the KBS consists of
a knowledge base containing information
specific to a problem domain and an inference engine that employs reasoning
to yield decisions. KBSs have
been built; some are very complex with
thousands of rules while others are relatively
simple and designed to tackle
very specialized tasks
A Radar Application of a Modified Cramér-Rao Bound: Parameter Estimation in Non-Gaussian Clutter
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A Cumulant-Based Adaptive Technique for Coherent Radar Detection in a Mixture of K-Distributed Clutter and Gaussian Disturbance
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Performance Analysis of Two Structured Covariance Matrix Estimators in Compound-Gaussian Clutter
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