Orthogonal discrete frequency-coding waveform design based on modified genetic algorithm for MIMO-SAR

Mehany, Wael; Jiao, Licheng; Hussien, Khaled

doi:10.1109/iciea.2014.6931325

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…It makes the operational complexity of the analytical solutions too high and cannot adapt to the changing battlefield environment. The second method presents the variables to be solved, whose linear or non‐linear combination is the optimisation criterion. This method iterates the optimal solution in the solution space by an intelligent optimisation algorithm [25, 26]. Utilising natural heuristic algorithms such as genetic algorithms and simulated annealing algorithms to optimise manually extracted features, researchers try to find the global optimal solution from the domain of feasible solutions, which is time‐consuming and prone to fall into local optima that cannot be avoided.…”

Section: Introductionmentioning

confidence: 99%

Online unsupervised generative learning framework based radar jamming waveform design

Sun

Gong

Mao³

et al. 2023

IET Radar Sonar & Navi

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The jamming effect on radar is dominated by the design of the jamming waveform directly. Traditional jamming waveforms are generated using the template‐based method and are not environmentally resilient. Without the precise radar centre frequency support, using the direct guidance of the radar signal power spectrum density (PSD), a novel jamming waveform design method with an online unsupervised generative learning framework is proposed. The proposed framework consists of two modules: the waveform online generation module and the waveform unsupervised optimisation module. For the waveform online generation module, the well‐designed neural network (NN) is used to generate the jamming waveform. While for the waveform unsupervised iterative optimisation module, two loss functions are developed as two learning tasks to guide back‐propagation online. Given transmit power, the jamming PSD is designed adaptively to focus on the radar band and fit the radar PSD well, which improves the receiver in‐band jamming‐to‐signal ratio (JSR). It is worth noting that NN is end‐to‐end trained online without extensive prior training data. The framework can generate jamming waveforms within reasonable physical parameter ranges, and numerical experiments have shown that the designed jamming waveform performed better jamming effects on radar target detection in comparison with the traditional one.

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Section: Introductionmentioning

confidence: 99%

Online unsupervised generative learning framework based radar jamming waveform design

Sun

Gong

Mao³

et al. 2023

IET Radar Sonar & Navi

View full text Add to dashboard Cite

show abstract

“…Signal waveform should have enough time-bandwidth products and less peak power. According to the requirement of signal waveform, a modified genetic algorithm (GA) is proposed to numerically search optimal frequency firing order for discrete frequency-coding waveform (DFCW) in [14], and linear frequency modulation hybrid coding (LFMHC) waveform is proposed to enable MIMO SAR to operate efficiently in practical applications [15], but the methods can increase the bandwidth of RF 2 Mathematical Problems in Engineering system. A random OFDM-LFM waveform is proposed in [1] and has good performance in MIMO SAR imaging.…”

Section: Introductionmentioning

confidence: 99%

MIMO SAR Imaging for Wide‐Swath Based on Compressed Sensing

Feng

2017

Mathematical Problems in Engineering

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To reduce the amount of data to be stored and software/hardware complexity and suppress range ambiguity, a novel MIMO SAR imaging based on compressed sensing is proposed under the condition of wide-swath imaging. Random phase orthogonal waveform (RPOW) is designed for MIMO SAR based on compressed sensing (CS). Echo model of sparse array in range and compressive sampling is reconstructed with CS theory. Resolution in range imaging is improved by using the techniques of digital beamforming (DBF) in transmit. Zero-point technique based on CS is proposed with DBF in receive and the range ambiguity is suppressed effectively. Comprehensive numerical simulation examples are performed. Its validity and practicality are validated by simulations.

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Improved design of orthogonal discrete frequency-coding waveform based on modified genetic algorithm for MIMO-SAR

Mehany

Jiao

2014

2014 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)

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Orthogonal discrete frequency-coding waveform design based on modified genetic algorithm for MIMO-SAR

Cited by 4 publications

References 7 publications

Online unsupervised generative learning framework based radar jamming waveform design

Online unsupervised generative learning framework based radar jamming waveform design

MIMO SAR Imaging for Wide‐Swath Based on Compressed Sensing

Improved design of orthogonal discrete frequency-coding waveform based on modified genetic algorithm for MIMO-SAR

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