Recent trends and findings in cognitive radar

Rangaswamy, Muralidhar; Jones, Aaron M.; Smith, Gerald Birney

doi:10.1109/camsap.2015.7465294

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…This effectively avoids the technical problem that the signal change depends on the hardware circuit structure change. According to the transmitting signal model and waveform control parameter selection method given in the first two sections of this paper, as well as the accumulation and processing method of echo signal, and the basic architecture of cognitive radars described in [4,13], this paper presents the basic structure of cognitive marine radar as shown in Figure 4.…”

Section: Experiments and Analysismentioning

confidence: 99%

“…Cognitive radar integrates brain science and artificial intelligence into radar system [2], which gives the radar system the ability to perceive the environment; understand the environment; learn, reason and judge decisions; and adapt to the trend of radar intelligence [3]. The closed-loop working structure of cognitive radar is designed to carry all available resources transmitted and received, and utilizes situational awareness of the working environment to maximize system performance and match the system to the working environment [4].…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, research results on cognitive radar emerge constantly. The research focuses mainly on the design and selection of optimal transmitting waveform [5,6], optimization algorithm of resource allocation [7,8], automatic operation and management [4,9], and the spectrum sharing with communication and optimal utilization and allocation of channel resources [10,11]. A full understanding of the work environment is a fundamental feature of cognitive radar.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Research on Cognitive Marine Radar Based on LFM Waveform Control

Liu

Zhang

Suo

et al. 2019

Sensors

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In this paper, the method of applying cognitive radar technology to marine radar is studied, and the cognitive marine radar structure and transmitted signal model with three control parameters are constructed. The selection method of waveform control parameters, which is based on the target spatial distribution and the reference target detection effect with the minimum emission energy as the criterion, is given. The transmission signal control selection method given in this paper can flexibly realize different emission signal groups of m × n × p groups by independently setting the values m, n and p of three control parameters. It does not require radar hardware circuit reconstruction to meet the radar waveform changes. This is more convenient for the technical realization of cognitive marine radar. According to the method of this paper, a cognitive marine radar test system was constructed. The experimental results show that the proposed radar could reduce the emission energy by 15.9 dB compared with the traditional fixed-parameter pulse compression marine radar under the experimental conditions.

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Section: Experiments and Analysismentioning

confidence: 99%