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As compared to the FFT, the recently introduced Sparse Fourier Transform (SFT) achieves substantial reduction in the complexity of detecting frequencies in signals that are sparse in the frequency domain. However, the SFT requires the significant frequencies to be on the grid and the exact sparsity of the signal to be known. In this paper, we propose a framework that overcomes these issues. Our method...
In this paper, the problem of fairly balancing the radar and communication performance in a dual communication and radar system is studied. To gain insight into the problem, a simple model of such a system using OFDM-style waveforms with SNR as the radar's objective and throughput as the communication's objective is explored. As a criteria for balancing the performance of both objectives, α fairness...
The paper investigates a new framework for spectrum sharing between a MIMO-MC radar (MIMO radar using matrix completion) and a MIMO communication system, based on radar transmit pre-coding. The radar transmit precoder is jointly designed with the communication codewords so that the SINR at the radar receiver is maximized while meeting certain rate and power constraints at the communication system...
Recently proposed multiple input multiple output radars based on matrix completion (MIMO-MC) employ sparse sampling to reduce the amount of data forwarded to the radar fusion center, and as such enable savings in communication power and bandwidth. This paper proposes designs that optimize the sharing of spectrum between MIMO-MC radars and MIMO communication systems, so that the latter interferes minimally...
In this paper, we investigate a novel networked colocated MIMO radar approach that relies on sparse sensing and matrix completion, and enables significant reduction of the volume of data required for accurate target detection and estimation. More specifically, the receive antennas sample the target returns via two sparse sensing schemes, and forward the obtained samples to a fusion center. Based on...
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