Radar waveform design in a spectrally crowded environment via nonconvex quadratic optimization

Abstract-This paper presents a spectrum sharing technology enabling interference-free operation of a surveillance radar and communication transmissions over a common spectrum. A cognitive radio (CRo) receiver senses the spectrum using very low sampling and processing rates. The radar is also modeled as a cognitive system that employs a Xampling-based receiver and transmits in several narrow bands. Our main contribution is the alliance of two previous ideas, CRo and cognitive radar (CRr), and their adaptation to solve the spectrum sharing problem. Finally, we present a hardware realization of our system and demonstrate the SPEctral Coexistence via Xampling (SpeCX) technology through real-time experiments.

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“…Once the support F R is identified, a suitable waveform code can be designed using optimization procedures described by e.g. [16,17].…”

confidence: 99%

Spectral Coexistence in radar using Xampling

Cohen

Mishra

Eldar

2017

2017 IEEE Radar Conference (RadarConf)

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“…The design of advanced radar waveforms to improve the spectral compatibility with other overlaid licensed radiators is of primary concern [13]. Recently, many papers have considered radar waveform design with a suitable frequency location [14] to mitigate interference [15] or set the signal-to-interference plus noise ratio (SINR) as the figure of merit to optimize the transmitted waveform by constraining the overall amount of interference energy on crowded frequency bands [16,17].…”

Section: Introductionmentioning

confidence: 99%

MIMO Radar Transmit Beampattern Design with PAR constraint in a Spectrally Crowded Environment

Qinglin¹,

Wang²,

Li³

2017

Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)

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Abstract. Considering the fact that the electromagnetic spectrum is becoming more and more crowded due to the increasing demand for both military and civilian wireless services. A novel MIMO radar transmit beampattern design scheme with PAR constraint in a spectrally crowded environment is proposed. Different with the existing beampattern design methods, the PAR and spectral constraints are considered in the optimization of the space-time transmit waveform covariance matrix. Semidefinite relaxation (SDR) is adopted to tackle the resulting NP-hard optimization problem. With the optimized covariance matrix, the final transmit waveforms which satisfy the practical constraints can be synthesized directly via randomization. Some numerical simulation results are shown to demonstrate the effectiveness of the new technique to devise MIMO radar transmit waveforms in beampattern design complying with the PAR and spectral coexistence requirements.

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“…Spectral cohabitation among radar and telecommunication systems is gaining more and more attention within the research and industrial communities due to the increasing demand of high-quality wireless services as well as accurate remote-sensing capabilities [1,2,3]. Additionally, good foliage penetration [4,5], and low path loss attenuation push some communication and radar systems to coexist in the same frequency band [6] (for instance VHF and UHF), crowding more and more the electromagnetic spectrum.…”

Section: Introductionmentioning

confidence: 99%

“…Many papers in open literature have considered radar waveform design with a suitable frequency allocation [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] (see also [1] for a concise treatment of their relevant characteristics). In [1], the authors propose radar waveforms that share desirable spectral features, ensure coexistence with overlaid wireless networks, and optimize radar detection performance. The design technique assumes the signal to interference plus noise ratio (SINR) as the figure of merit and optimizes the transmitted radar waveform by constraining the overall amount of interference energy on crowded/reserved frequency bands.…”

Section: Introductionmentioning

confidence: 99%

“…The goal of this paper is to improve the algorithm in [1] through a suitable modulation of the transmitted waveform energy, which is no longer kept fixed as in [1]. By doing so, the new algorithm ensures at least the same performance as the existing one when the maximum transmit energy belongs to the feasible region of the waveform synthesis optimization problem.…”

Section: Introductionmentioning

confidence: 99%

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A new radar waveform design algorithm with improved feasibility for spectral coexistence

Aubry

Maio

Huang

et al. 2015

IEEE Trans. Aerosp. Electron. Syst.

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216

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Radar signal design in a spectrally crowded environment is currently a challenge due to the increasing requests for spectrum from both military sensing applications and civilian wireless services. The goal of this paper is to improve a previously devised algorithm for the synthesis of optimized radar waveforms fulfilling spectral compatibility with overlaid licensed radiators. The new technique achieves an enhanced spectral coexistence with the surrounding electromagnetic environment through a suitable modulation of the transmitted waveform energy, which was kept fixed at the maximum level in the previously devised algorithm. At the analysis stage, the waveform performance is studied in terms of trade-off among the achievable Signal to Interference Plus Noise Ratio (SINR), spectral shape, and the resulting Autocorrelation Function (ACF), also in situations where the previous technique cannot be applied.

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Radar waveform design in a spectrally crowded environment via nonconvex quadratic optimization

Cited by 271 publications

References 30 publications

Spectral Coexistence in radar using Xampling

Spectral Coexistence in radar using Xampling

MIMO Radar Transmit Beampattern Design with PAR constraint in a Spectrally Crowded Environment

A new radar waveform design algorithm with improved feasibility for spectral coexistence

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