Design and application of dynamic environmental knowledge base

Lu, Shuping; Yi, Wei; Cui, Guolong; Kong, Lingjiang; Yang, Xiaobo

doi:10.1049/iet-rsn.2015.0516

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…In this paper, we investigate the phase-only coding waveform design in the presence of signaldependent modulated jamming, by taking into account the matched-filter case. In [21], a dynamic environment database based on the idea of cognitive radar is builded to provide the a priori information for knowledge-aided operation. Furthermore, in [22], an electronic support measurement (ESM) system is employed to acquire the information concerning hostile jammer.…”

Section: Introductionmentioning

confidence: 99%

Cognitive Radar Waveform Design Against Signal-Dependent Modulated Jamming

Lu¹,

Cui²,

Yu³

et al. 2018

PIER B

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This paper focuses on the cognitive design of transmit waveform to improve target detection capability in the presence of signal-dependent modulated jamming (e.g., chopping and interleaving (C&I) jamming). In particular, we reasonably assume that the modulation mode of signal-dependent jamming is available based on cognitive paradigm. The first design criterion is to minimize the integrated crosscorrelation energy (ICE) between the transmit waveform and jamming signal. In this way, the received jamming signal can be suppressed after matched filter processing is performed using the optimized waveform. The second design criterion is to minimize the integrated auto-correlation sidelobe level (IASL) for maintaining good range compression property. The practical constant modulus constraint is imposed on the transmit waveform. Finally, to deal with the resulting non-convex problem, an iterative algorithm based on the majorization-minimization framework is developed. Numerical examples for specific signal-dependent modulated jammings are provided to demonstrate the effectiveness of the proposed methodology.

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Section: Introductionmentioning

confidence: 99%

Cognitive Radar Waveform Design Against Signal-Dependent Modulated Jamming

Lu¹,

Cui²,

Yu³

et al. 2018

PIER B

Self Cite

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“…As well as the mean square error (MSE), the convergence property of the equalizer and the quality of the calibration signal are all under the surveillance of the recognition approach. The recognitive capability exploited for channel equalization is part of the concept of a recognitive radar, which has been widely discussed [10][11][12]. The recognition of the calibration signal is also a concept of knowledge based radar [13,14], since the signal is a priori knowledge.…”

Section: Introductionmentioning

confidence: 99%

Fractionally Spaced Constant Modulus Equalizer with Recognition Capability for Digital Array Radar

Wang

Wei

Jiang

2017

Mathematical Problems in Engineering

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Fractionally spaced blind equalizer (BE) based on constant modulus criteria is exploited to compensate for the channel-to-channel mismatch in a digital array radar. We apply the technique of recognition to improve the stability and reliability of the BE. The surveillance of the calibration signal and the convergence property of BE are both implemented with recognition description words. BE with cognitive capability is appropriate for the equalization of a digital array radar with thousands of channels and hundreds of working frequencies, where reliability becomes the most concerned indicator. The improvement of performance in the accidental scenarios is tested via numerical simulations with the cost of increased computational complexity.

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Radar waveform design against signal-dependent jamming

Cui

et al. 2017

2017 IEEE Radar Conference (RadarConf)

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Design and application of dynamic environmental knowledge base

Cited by 5 publications

References 21 publications

Cognitive Radar Waveform Design Against Signal-Dependent Modulated Jamming

Cognitive Radar Waveform Design Against Signal-Dependent Modulated Jamming

Fractionally Spaced Constant Modulus Equalizer with Recognition Capability for Digital Array Radar

Radar waveform design against signal-dependent jamming

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