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

By A. Aubry, Antonio De Maio, Alfonso Farina, M. Wicks. IEEE Transactions on Aerospace and Electronic Systems, 2013

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Radar and Communication Coexistence: An Overview: A Review of Recent Methods (2019, background): “Such a model holds for narrow-band systems, where the flat-fading assumption is valid [14], and can be extended to more sophisticated situations by using different forms of channel responses [34].”
MIMO Radar Waveform Design With Constant Modulus and Similarity Constraints (2014, methodology): “Each iteration of both algorithms involves an NP-hard optimization problem, we employ a relaxation and randomization approach which is known to yield approximate solutions with good accuracy [21], [25]–[27].”
Throughput Maximization for UAV-Enabled Integrated Periodic Sensing and Communication (2022, background): “Moreover, the negative effects of clutter can be mitigated through the prior knowledge of clutter and precoding techniques [43].”
Joint Transmit Waveform and Passive Beamforming Design for RIS-Aided DFRC Systems (2021, methodology): “In this paper, we assume that the BS has the knowledge of the range-angle positions and the mean power of the clutter sources, which can be obtained from a cognitive paradigm [47], [48] by using an environmental dynamic database including a geographical information system, digital terrain maps,clutt”