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Minimax Robust MIMO Radar Waveform Design
IEEE Journal of Selected Topics in Signal Processing, 2007We consider the problem of minimax robust waveform design for multiple-input multiple-output (MIMO) radar based on mutual information (MI) and minimum mean-square error (MMSE) estimation for target identification and classification. Recognizing that a single, precise characterization of target power spectral density (PSD) is rare in practice, we assume
Yang Yang, Rick S. Blum
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Waveform design for compressive radar sensing
2012 International Waveform Diversity & Design Conference (WDD), 2012Wideband multi-frequency chirp waveforms combined with stretch processing on receive provides a way to obtain linear projection of range profiles at sub-Nyquist sampling rates. Stable recovery of high resolution range profiles from these projections is guaranteed only if the mutual coherence between the columns of the sensing matrix is sufficiently ...
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Radar waveform design for spectral coexistence
2018In this chapter we discuss design techniques and constraints that facilitate a waveform that is useful for radar. While signal-to-noise ratio (SNR) and signal-to-interference-plus-noise ratio (SINR) have historically been the primary drivers of waveform design and are certainly discussed here, the growing need for spectral coexistence is eliciting new ...
Jones, Aaron M. +2 more
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Radar Design Using Noise/Random Waveforms
2006 International Radar Symposium, 2006Theoretical and experimental evaluations of potential capabilities of Noise Radar Technology (NRT) in design and development of radar sensors are presented. Derivation of Ambiguity Function for Pulsed Noise Waveform is given. Theoretical basis for Noise Radar design and three different methods for coherent processing of Noise Radar returns are briefly ...
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Joint automotive radar-communications waveform design
2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2017The paper studies the problem of waveform design for a joint Radar-Communications (RadComms) system in an automotive setting characterized by a multitarget environment. The envisaged joint waveform allows exploitation of existing infrastructure to support additional functionalities.
Sayed Hossein Dokhanchi +5 more
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Waveform Design for Multistatic Radar Detection
IEEE Transactions on Aerospace and Electronic Systems, 2009We derive the optimal Neyman-Pearson (NP) detector and its performance, and then present a methodology for the design of the transmit signal for a multistatic radar receiver. The detector assumes a Swerling I extended target model as well as signal-dependent noise, i.e., clutter.
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Radar Waveform Design under Communication Sum Capacity Constraint
2019 IEEE Radar Conference (RadarConf), 2019This paper considers a joint radar and wireless communication systems where the radar transmit waveform is adaptively designed. To ensure acceptable performance of both radar and communication systems operating in the same frequency bands, the radar makes use of knowledge provided by the communication systems and vice versa.
Bosung Kang, Muralidhar Rangaswamy
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Optimization methods for radar waveform design
2019Radar has been evolving itself significantly since MIMO and cognition were introduced. One important research topic is the design of radar waveform. By exploiting the waveform diversity, the performance of the radar systems can be improved significantly. The waveform design needs to satisfy three requirements.
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Biosonar inspiration for radar waveform design
The Journal of the Acoustical Society of America, 2019Bat biosonar offers a natural source for biomimetic design of radar waveforms with inspirations falling into two categories: (1) biosonar principles similar to ones already employed in radar and (2) principles used by bats that operate in ways not yet understood or not yet embraced yet for radar.
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Radar Spectrum Coexistence Waveform Design with Multiple Waveform Constraints
2023 8th International Conference on Computer and Communication Systems (ICCCS), 2023Qinxian Chen +5 more
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