Results 21 to 30 of about 9,813 (270)

Efficient Waveform Design Method for Target Estimation Under the Detection and Peak-to-Average Power Ratio Constraints in Cognitive Radar

open access: yesIEEE Access, 2019
This paper addresses the waveform design problem to estimate the target impulse response (TIR) of the temporally correlated extended target in a cognitive radar, subject to a detection constraint and a peak-to-average power ratio constraint.
Tianduo Hao, Chen Cui, Yang Gong
doaj   +1 more source

CNN-based cognitive radar array selection [PDF]

open access: yes, 2019
2019 IEEE Radar Conference, RadarConf 2019 -- 22 April 2019 through 26 April 2019 -- 152051In cognitive radar, it may be desired to select an optimal subarray from a full antenna array in each scan to reduce the cost and computational complexity ...
Kumar Vijay Mishra   +7 more
core   +2 more sources

Cognitive radar for waveform diversity utilization

open access: yes, 2021
S.218-223In this paper we discuss the relationship between cognitive radar and waveform diversity. The cognitive decision-making process selects the most appropriate waveform from the available set of diverse waveforms based on a perception of the ...
Martone, Anthony F.   +3 more
core   +1 more source

Radar spectrum opportunities for cognitive communications transmission [PDF]

open access: yes, 2008
In relation to opportunistic access to radar spectrum, the impact of the radar on a communication system is investigated in this paper. This paper illustrates that by exploring the spatial and temporal opportunities in the radar spectrum and therefore ...
Williams, C   +7 more
core   +1 more source

Anticipation in cognitive radar using stochastic control

open access: yes, 2022
S.1692-1697Previous works have identified key characteristics of a cognitive radar, such as knowledge exploitation, perception, action, memory, intelligence and attention.
Charlish, A., Hoffmann, F.
core   +1 more source

Neural Networks & Machine Learning in Cognitive Radar

open access: yes, 2022
S.2074-2079This paper reports on how neural networks and machine learning can support the development of cognitive radar systems. We discuss the aspects of cognition that can be supported by neural networks, review the recent literature on the use of ...
Smith, Graeme E.   +3 more
core   +1 more source

How Can a Cognitive Radar Mask its Cognition?

open access: yesICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
We study how a cognitive radar can mask (hide) its cognitive ability from an adversarial jamming device. Specifically, if the radar optimally adapts its waveform based on adversarial target maneuvers (probes), how should the radar choose its waveform parameters (response) so that its utility function cannot be recovered by the adversary.
Kunal Pattanayak   +2 more
openaire   +2 more sources

Cognitive node selection and assignment algorithms for weighted cooperative sensing in radar systems [PDF]

open access: yes, 2009
For the radar spectrum to be shared efficiently a good sensing capability within a secondary cognitive communication system is required. In this paper, the swept radar's rotation mechanism is explored to improve the sensing performance.
Williams, C   +7 more
core   +1 more source

Cognitive passive radar system: software defined radio and deep learning approach

open access: yesThe Journal of Engineering, 2019
Cognitive passive radar (CPR) system is amenable to electromagnetic environment cooperating and optimal strategy making tasks on account of illumination source availability and waveform evaluation. In fact, intelligence will provide performance gain from
Qing Wang   +4 more
doaj   +1 more source

Hybrid Cognition for Target Tracking in Cognitive Radar Networks

open access: yesIEEE Transactions on Radar Systems, 2023
This work investigates online learning techniques for a cognitive radar network utilizing feedback from a central coordinator. The available spectrum is divided into channels, and each radar node must transmit in one channel per time step. The network attempts to optimize radar tracking accuracy by learning the optimal channel selection for spectrum ...
William W. Howard, R. Michael Buehrer
openaire   +2 more sources

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