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Reinforcement Learning For Waveform Design

2021 IEEE Radar Conference (RadarConf21), 2021
In this paper we propose the use of a deep neural network (DNN) trained using deep deterministic policy gradient (DDPG) reinforcement learning (RL) to solve a simplified radar waveform design problem. The problem is to select phases for a phase-coded waveform with a power spectrum (PS) containing a low-power notch to support spectrum sharing.
Graeme E. Smith, Taylor J. Reininger
openaire   +1 more source

Waveform design for electroseismic exploration

The Journal of the Acoustical Society of America, 2006
Electroseismic (ES) exploration remotely identifies the presence of hydrocarbons using the conversion of electromagnetic energy to seismic energy. These conversions are relatively larger in a porous, permeable resistive body (such as an oil or gas reservoir) when compared with background conversions.
Scott C. Hornbostel   +2 more
openaire   +1 more source

Introduction to waveform design

2021
In this chapter, fundamental concepts are introduced for the waveform design. Generalized definition of the waveform is given to provide a basis for the discussions in the first two parts. Several relationships for the waveform design are investigated, and then application requirements of different wireless communications standards are discussed ...
Yazar, Ahmet, Arslan, Hüseyin
openaire   +1 more source

Developments in radar waveform design

12th International Conference on Microwaves and Radar. MIKON-98. Conference Proceedings (IEEE Cat. No.98EX195), 2002
The design of radar waveforms has made significant advances over the past two decades. This has been prompted both by increasingly stringent radar performance requirements and the development of high-speed digital processing hardware. The purpose of this paper is to review two specific examples of modern waveform design, and to attempt to make some ...
H.D. Griffiths, L. Vinagre, W.K. Lee
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Waveform design for Commensal Radar

2015 IEEE Radar Conference (RadarCon), 2015
Commensal Radar has been proposed as a means of addressing the spectrum congestion problem. It may be defined as a passive bistatic radar (PBR) in which the communications, broadcast or radionavigation waveform is designed not only so that it fulfils its primary purpose, but also so that its properties are in some sense optimized as radar signals. This
Hugh Griffiths   +2 more
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HF radar waveform design

Sixth International Conference on `HF Radio Systems and Techniques', 1994
HF over-the-horizon radars often use CW transmissions comprising repeated linear FM sweeps. The resolution and sidelobe performance in the range dimension are determined within each sweep, but Doppler information is extracted by processing together the outputs of a number of sweeps.
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MIMO Radar Waveform Design for Multipath Exploitation

IEEE Transactions on Signal Processing, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhou Xu, Chongyi Fan, Xiaotao Huang
openaire   +2 more sources

Waveform Design with Spectral Coexistence

2019 IEEE Radar Conference (RadarConf), 2019
To ensure spectral compatibility between radar and communication systems, the radar waveform design of spectrum shaping is considered. The weighted squared-error between the designed Energy Spectrum Density (ESD) and the desired ESD is developed as figure of merit to minimize.
Jing Yang   +4 more
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MIMO radar waveform design

2012
In this chapter, we review various probing waveform transmission schemes for multiple-input multiple-output (MIMO) radar with co-located antennas. An orthogonal probing waveform set is required to separate the transmitted waveforms at the receiver side to achieve a large virtual array size afforded by the MIMO radar.
null Ming Xue   +2 more
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Waveform analysis and design

2008 IEEE Radar Conference, 2008
Summary form only given.Fundamental tools for radar signal analysis - the matched filter response and the ambiguity function - are briefly discussed and demonstrated on basic signals: LFM pulse, coherent pulse train and a coherent train of LFM pulses.
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