Radar waveform design against signal-dependent jamming

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

doi:10.1109/radar.2017.7944364

Cited by 8 publications

(2 citation statements)

References 17 publications

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“…And intentional jamming is divided into active and inactive jammings based on transmitting electromagnetic signals or not. Moreover, active jamming splits into masking and deception jammings [7,[10][11][12].…”

Section: Jammingmentioning

confidence: 99%

Analysis and Simulation of Multi-target Echo Signals from a Phased Array Radar

Jia

Zhou²

2017

MATEC Web Conf.

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Abstract. The construction of digital radar simulation systems has been a research hotspot of the radar field. This paper focuses on theoretical analysis and simulation of multi-target echo signals produced in a phased array radar system, and constructs an array antenna element and a signal generation environment. The antenna element is able to simulate planar arrays and optimizes these arrays by adding window functions. And the signal environment can model and simulate radar transmission signals, radar internal noise, clutter and jamming signals. These signals are combined linearly to generate the radar echo signal. The simulation results indicate that multi-target echo signals are completely overwhelmed by other signals, satisfying the needs of subsequent signal processing and data processing.

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Section: Jammingmentioning

confidence: 99%

Analysis and Simulation of Multi-target Echo Signals from a Phased Array Radar

Jia

Zhou²

2017

MATEC Web Conf.

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“…Waveform diversity technique has received considerable attention since it is proved to be an effective interference rejection way [6][7][8]. These works can be classified into two categories.…”

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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Designing unimodular sequence with good auto-correlation properties via Block Majorization-Minimization method

Sankuru¹,

Babu²

2020

Signal Processing

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Radar waveform design against signal-dependent jamming

Cited by 8 publications

References 17 publications

Analysis and Simulation of Multi-target Echo Signals from a Phased Array Radar

Analysis and Simulation of Multi-target Echo Signals from a Phased Array Radar

Cognitive Radar Waveform Design Against Signal-Dependent Modulated Jamming

Designing unimodular sequence with good auto-correlation properties via Block Majorization-Minimization method

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