Cognitive Radar: Step Toward Bridging the Gap Between Neuroscience and Engineering

Haykin, S.; Xue, Yusheng; Setoodeh, Peyman

doi:10.1109/jproc.2012.2203089

Cited by 176 publications

(123 citation statements)

References 44 publications

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“…[1]), the Bayesian tracking filter for representing the target states, the system model library for receiver optimization, and the transmit waveform library for transmitter control. However, in contrast to [1], we propose to employ multiple Bayesian state-space trackers for representing environment and target states.…”

Section: Perception-action Cyclementioning

confidence: 99%

“…Recent seminal work by S. Haykin and co-workers described Cognitive Radar (CR) as a "step toward bridging the gap between neuroscience and engineering" [1]. The information processing in the visual brain, which has been extensively studied in neuroscience, gives valuable insight in the unparalleled capability of the brain of filtering out clutter and focusing attention on activity.…”

Section: Introductionmentioning

confidence: 99%

“…In doing so, it acts on the environment in an adaptive fashion, its sonar comprises a closed perception-action cycle (PAC). Memory and attention are considered to be key facilitators of "intelligence", both of which can be mapped to signal processing functionalities of a CR [1]- [3].…”

Section: Introductionmentioning

confidence: 99%

“…A cognitive tracking and identification system is described in this paper that allows high-definition localization of large numbers of passive radio transponders 1 (enhanced RFID tags) in indoor environments at decimeter accuracy. We assume that most tagged objects are static over significant time spans.…”

Section: Introductionmentioning

confidence: 99%

“…The radar then learns an accurate model of the scenario including radio channel properties, based on which it assigns bandwidth This work was partly supported by the Austrian Science Fund (FWF) within the National Research Network SISE project S10610. 1 "Passive" means that no battery is available for powering the transponder.…”

Section: Introductionmentioning

confidence: 99%

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Cognitive radar for the localization of RFID transponders in dense multipath environments

Witrisal

Leitinger

Meißner

et al. 2013

2013 IEEE Radar Conference (RadarCon13)

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Abstract-High-accuracy localization remains a much desired but elusive feature for passive radio transponders as used in radio-frequency identification (RFID). We believe that the principle of cognitive radar can overcome the fundamental physical limitations hindering its implementation. We propose to jointly employ a narrowband radio to interrogate the transponders and an adaptive (ultra) wideband backscatter radio for the target tracking and for actuating, sensing, and learning the radio environment. This paper explores system model and key processing steps of such a cognitive secondary radar. At its core is a perception-action cycle, which consists of transmitter and receiver-side environment models for representing radio channel conditions and Bayesian trackers for the target states. Multipath is exploited to improve the robustness and to make optimum use of the radar's sensing capabilities. Feedback information is derived from the Cramér-Rao lower bound on the position error. Initial results are presented as a basic proof of principle.Index Terms-Ultra-wideband, Cramér-Rao lower bound, localization, multipath-assisted indoor positioning, channel modeling

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Section: Perception-action Cyclementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Cognitive radar for the localization of RFID transponders in dense multipath environments

Witrisal

Leitinger

Meißner

et al. 2013

2013 IEEE Radar Conference (RadarCon13)

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Frequency Diverse Phased Arrays

Wang

2019

Wiley Encyclopedia of Electrical and Electronics Engineering

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This article introduces what frequency diverse array (FDA) is and why it could be utilized in radar and wireless communication systems for improved performance. Recent advances and potential applications together with the technical challenges are discussed. It is shown that FDA indeed provides promising potential for future radar, communications, and even integrated radar and communication applications. However, for practical applications further work on system implementation, optimal array signal processing, and time‐variance related problems should be carried out.

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