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Proceedings ArticleDOI

Cognitive SAR Waveform Design Method Based on Joint Optimization Criteria

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TLDR
A cognitive SAR waveform design method based on joint optimization criteria solves the problem of weak clutter suppression and poor cognitive ability of conventional SAR and solve the problem that the resolution performance of waveform designed based on the traditional criterion of maximum output SCNR is too poor to be used in SAR for high resolution missions.
Abstract
Intelligence technology has been widely used in various radar applications in recent years. However, there are few studies on the combination of intelligence technology and synthetic aperture radar (SAR). In this paper, a cognitive SAR waveform design method based on joint optimization criteria is proposed. The proposed method constructs a criteria jointing the resolution of SAR transmitting waveform and output SCNR. Cognitive SAR waveform designed upon this criterion solves the problem of weak clutter suppression and poor cognitive ability of conventional SAR. Meanwhile, it also solves the problem that the resolution performance of waveform designed based on the traditional criterion of maximum output SCNR is too poor to be used in SAR for high resolution missions. Simulation results show that the waveform designed by this method has high SCNR and great resolution.

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Citations
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An Overview of Advances in Signal Processing Techniques for Classical and Quantum Wideband Synthetic Apertures

TL;DR: This guide is intended to aid newcomers in navigating the most critical issues in SA analysis and further supports the development of new theories in the field.
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An Overview of Advances in Signal Processing Techniques for Classical and Quantum Wideband Synthetic Apertures

TL;DR: In this article , the authors provide a brief overview of emerging signal processing trends in spatially and spectrally wideband synthetic aperture (SA) systems, including the theoretical framework and practical underpinnings of wideband SA radar, channel sounding, sonar, radiometry and optical applications.
Proceedings ArticleDOI

Cognitive Radar Waveform Design Based on Multi-objective Optimization Criteria

TL;DR: In this article , a multi-objective optimization model based on the maximum signal-to-jamming ratio (SJR), the minimum time delay resolution constant (TRC), and the minimum peak sidelobe ratio (PSLR) is proposed.
Proceedings ArticleDOI

Target-Oriented Cognitive Sar Waveform Design Via Joint Optimization

TL;DR: In this article, a target-oriented SAR waveform optimization method is proposed to deal with the clutter background in SAR images, which constructs an optimization criterion jointing the signal-to-clutter ratio (SCR) and the resolution of transmitted waveform.
Proceedings ArticleDOI

Cognitive Radar Waveform Design Based on Multi-objective Optimization Criteria

TL;DR: A multi-objective optimization model based on the maximum signal-to-jamming ratio (SJR), the minimum time delay resolution constant (TRC) and the minimum peak sidelobe ratio (PSLR) is constructed and solved by the particle swarm optimization (PSO) algorithm.
References
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Journal ArticleDOI

Cognitive radar: a way of the future

TL;DR: The future possibilities of radar are focused on with particular emphasis on the issue of cognition, and the problem of radar surveillance applied to an ocean environment is considered.
Journal ArticleDOI

Knowledge-Aided (Potentially Cognitive) Transmit Signal and Receive Filter Design in Signal-Dependent Clutter

TL;DR: An optimization procedure for the transmit signal and the receive filter which sequentially improves the signal- to-interference-plus-noise ratio (SINR) and each iteration of the algorithm requires the solution of both a convex and a hidden convex optimization problem.
Journal ArticleDOI

Resolution Enhancement for Inversed Synthetic Aperture Radar Imaging Under Low SNR via Improved Compressive Sensing

TL;DR: An improved version of CS-based high-resolution imaging to overcome strong noise and clutter by combining coherent projectors and weighting with the CS optimization for ISAR image generation is presented.
Journal ArticleDOI

Optimal transmit-receiver design in the presence of signal-dependent interference and channel noise

TL;DR: An effective numerical procedure is constructed for the determination of optimal pairs (f,h) that appears to converge satisfactorily for most values of input SINR.
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