Cognitive radar framework for target detection and tracking
Most radar systems employ a feed-forward processing chain in which they first perform some
low-level processing of received sensor data to obtain target detections and then pass the …
low-level processing of received sensor data to obtain target detections and then pass the …
Experiments with cognitive radar
GE Smith, Z Cammenga, A Mitchell… - IEEE Aerospace and …, 2016 - ieeexplore.ieee.org
The application of cognitive inspired processing to radar is a fast emerging area of research
that affects almost all types of radar systems. Cognition means" knowing" and is the process …
that affects almost all types of radar systems. Cognition means" knowing" and is the process …
Cognitive radar for target tracking using a software defined radar system
Most radar systems employ a feed-forward processing chain in which they first perform some
low-level processing of received sensor data to obtain target detections and then pass the …
low-level processing of received sensor data to obtain target detections and then pass the …
Joint waveform and receiver design for co-channel hybrid active-passive sensing with timing uncertainty
We consider a hybrid active-passive radar system that employs a wireless source as a
passive illuminator of opportunity (IO) and a co-channel active radar transmitter operating in …
passive illuminator of opportunity (IO) and a co-channel active radar transmitter operating in …
Cost function design for the fully adaptive radar framework
AE Mitchell, GE Smith, KL Bell, AJ Duly… - IET Radar, Sonar & …, 2018 - Wiley Online Library
By emulating the neuropsychological processes underpinning animal cognition, the field of
cognitive radar seeks to improve performance compared to non‐adaptive systems. The fully …
cognitive radar seeks to improve performance compared to non‐adaptive systems. The fully …
A machine learning approach to cognitive radar detection
We consider the requirements of cognitive radar detection in the presence of non-Gaussian
clutter. A pair of machine learning approaches based on non-linear transformations of order …
clutter. A pair of machine learning approaches based on non-linear transformations of order …
Single target tracking with unknown detection status: filter design and stability analysis
S Liang, H Lin, S Lu, H Su - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
For single target tracking (STT), when the target detection status is unknown, meaning the
system lacks direct knowledge of whether or not the target has been detected, the system …
system lacks direct knowledge of whether or not the target has been detected, the system …
CoFAR Clutter Estimation Using Covariance-Free Bayesian Learning
A cognitive fully adaptive radar (CoFAR) adapts its behavior on its own within a short period
of time in response to changes in the target environment. For the CoFAR to function …
of time in response to changes in the target environment. For the CoFAR to function …
Cognitive radar principles for defence and security applications
M Bockmair, C Fischer… - IEEE Aerospace and …, 2019 - ieeexplore.ieee.org
Modern defense and security radar sensors have to operate in a very diverse set of
dynamically varying scenarios: Detection, tracking, and classification of very small and slow …
dynamically varying scenarios: Detection, tracking, and classification of very small and slow …
Cognitive Radar Scheduler Architecture
HK Nguyen, JR Guerci, SK Gogineni… - 2024 IEEE Radar …, 2024 - ieeexplore.ieee.org
A key feature of any cognitive radar is its ability to make “intelligent” decisions regarding the
high-speed allocation of radar resources including energy, waveforms, beamwidth, look …
high-speed allocation of radar resources including energy, waveforms, beamwidth, look …